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G([r,t,o]).pipe(l(([{height:i},{offset:s,size:a},{x:f,y:c}])=>({offset:{x:s.x-f,y:s.y-c+i},size:a})))}(()=>{function e(n,o){parent.postMessage(n,o||"*")}function t(...n){return n.reduce((o,i)=>o.then(()=>new Promise(s=>{let a=document.createElement("script");a.src=i,a.onload=s,document.body.appendChild(a)})),Promise.resolve())}var r=class extends EventTarget{constructor(n){super(),this.url=n,this.m=i=>{i.source===this.w&&(this.dispatchEvent(new MessageEvent("message",{data:i.data})),this.onmessage&&this.onmessage(i))},this.e=(i,s,a,f,c)=>{if(s===`${this.url}`){let u=new ErrorEvent("error",{message:i,filename:s,lineno:a,colno:f,error:c});this.dispatchEvent(u),this.onerror&&this.onerror(u)}};let o=document.createElement("iframe");o.hidden=!0,document.body.appendChild(this.iframe=o),this.w.document.open(),this.w.document.write(` + + + + + + + + + + + + + + + + + + + + + + +
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Assumptions, Dos & Don'ts

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Describe common assumptions, or actions that you want your users to avoid. If there are multiple ways to solve problems using your application, you can document here the best options you have identified.

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Lessons Learned & Best Practices

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You can fill this section with best practices and enrich it as you learn better practices for the use of your application.

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UserGuides

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Features & Components

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Short list of the components, features or elements that the user needs to know to make the best of your application. On this section, you can include any guides and how tos that involve interaction with the UI in RING.

+ +

Describe any menus and buttons in the user interface not covered in the previous section +Include how users can interact with the features on your interface to get the desired results.

+

Troubleshooting

+

Document here any known errors, workarounds for bugs, troubleshooting details, and tips and tricks to avoid common mistakes.

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zuRw4nW1+;en}mNs?;H3@?;rn;?0j(|i~gNP{WgRzP79p6nN;OzYTpTwd=j0(z}a`T^l zZ#EE6F%Aj@n6V95uX6c^Imsg)ep`y`FwzwhGI!C{!n2rKcedJ0UDFiQ&#-oRy-J z$@M5>NL!$J;$5$yA^Lp&%c7GI*?g~iS4FByJbaw%=sNfI6fNSf1Wl6&^|S-;zL8wB zK}Y)Ug6GEz!HTA)ux_?91D#-k(-$i~CNhplFdIv~zPO>VdS=C+j@;fED_5{Lj&$Mv zR&@2(0URzdAbB<61bCa-bQzN)8%YJ){(%1(Ye>cPEpg&K>DTJjG1M6NLb047D4PkE z1;=sXeg>qZ3L>8RC5uu|LJ>}{f0}a7sCa!EgwNJI2Du26-DOb)6rg#7L(?}J_Q79O zY{9;wm~_jxU+szK5cFjx4K;+e{80mh4)(;Rql!m?G-|MR$204!@30uZNXlQt@;@+p zb&^oedlC62t1Njgj$-&hIszH4f)8kEThPde)#B91;hO$gTd`~c?}Uxl`e5G(GGe}x zh&DP((DD7RYQ1)u4mJgtghW$MDq(@0?xyqgh^LHkeyB?jG;_@+G>3V2Yx5sGW)Z#B zm+zLGD(DNM2aAD_EV2pCx~D7Q1NOB8<9AUzPSaKmQ$m)-Gd+Z>lOKWd_A zM{saU+9G+xKrS*rM6Hf@Ha*_q%f{`wd*H^vPjEZ3-*`@pxG7l=(}!;PR(f46C!Ioh zK&02j>LJYT_`EC50pRioEJULz)RhL3h`mZ6SWCw3V4n7Eda1*SQa1&j6$0Q@59l1r zwzED|vzasZ-)7+fiPHevr{^?WMaRypygF}CWF3EhW(s+tdya#>L&YV|o*$vny9Tdj zN1Tq93=cK@Op`;AW;mK0@1JMX_B~v}Zwm(1(kq)m;v1sZK6+g-hhT zgiVt{xQr=IhyEY-=!ml9v|y~yyAECgr#bP*daq|! + + + + + + + + + + + + + + + + + + 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    Overview

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    Maestro is a game room orchestration system, which can be used by multiplayer games to manage the scalability of its game rooms (Aka game servers). Ideally, Maestro should be used by games that implement dedicated game server (dgs) architecture. Each game room is a dedicated game server that runs in a match execution context, a group of game rooms is organized in a Scheduler. Each time that a user requires some change in the Scheduler or game room, Maestro creates an Operation that is a change unit that will be enqueued and handled sequentially by a proper worker related exclusively to its respective Scheduler, in other words, each Scheduler has a worker that sequentially handles Operations that is created to it.

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    A Scheduler defines the requirements of a game room as to how much memory and CPU it will need to execute and other information.

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    Each Operation has its own properties to be executed.

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    Maestro has five components: Management API, Game Rooms API, Execution Worker, Runtime Watcher and Metrics Reporter. They all deliver together the Maestro features that will be described in the next sections.

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    Features & Components

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    Maestro is composed by:

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    • Management API: this is the component that the users will use to create your requests to interact with Maestro. For example: create a Scheduler, get Scheduler information, etc.
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    • Execution Worker: have an execution component to handle Operations to each Scheduler. For example: three Schedulers will have each one an execution component.
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    • Game Rooms API: game rooms API exposes an HTTP API or a GRPc service to receive game rooms messages that symbolize their respective status. For example: when a game room is ready to receive matches it will send a message informing that.
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    • Runtime Watcher: is a component in Maestro that listen to Runtime events and reflect them in Maestro. For example: when a game room was created it is notified that this event happened.
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    • Metrics Reporter: time spaced this component query the Runtime for metrics related to rooms and expose them in an open metrics route. For example: how many occupied rooms and ready rooms are up.
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    Architecture

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    Maestro Next is a composition of different modules. Internally they are all part of the same code base but could be executed by giving the right arguments to the command line (or to your docker container entry point). E.g. go run main.go start [MODULE_NAME]

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    Maestro is composed of Management API, Rooms API, Operation Execution Worker, Runtime Watcher Worker, and Metrics Reporter Worker.

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    Each module has its responsibilities and is divided apart in a way to avoid mixing the execution process. Each module was thought to avoid parallel problems and to give the client more visibility about which Operations are being executed and their respective status.

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    architecture IMAGE

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    Maestro modules

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    Note: Maestro currently only supports Kubernetes as Game Rooms runtime system. So Workers interact with them.

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    Management API

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    Management API is the module responsible for receiving user requests. It accepts gRPC and HTTP requests and provides several kinds of routes that are aggregated in two services: schedulers service and operations service.

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    The schedulers service exposes features for managing schedulers, like creating a new scheduler, fetching its information, or updating them.
    +The operations service exposes features for tracking operations and changing their status, like listing operations by status or canceling them.

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    Management API relies on Redis for retrieving operations and game rooms, and on Postgres for retrieving and persisting schedulers.

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    Management API IMAGE

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    Rooms API

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    Rooms API is the module that provides an API that must be used by game rooms to sync their status with Maestro. To maestro work properly, it needs to be constantly informed about the status of each game room it manages. Also, if there are forwarders configured for the scheduler, those events are forwarded from Maestro at this module.

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    Note: The requests that Maestro forwards in the Rooms API are documented in this proto file. +Note: Maestro client could be used to ease the integration of the Game Room with Maestro.

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    Rooms API IMAGE

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    Operation Execution Worker

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    Note: In Maestro a worker is a collection of routines that executes a flow related to one and only one Scheduler each.

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    Operation Execution Worker is a process that constantly keeps ensuring each active Scheduler will have a thread (execution worker) that executes operations enqueued in the related Scheduler operation queue. So in this way became possible to track the events that happened and change a certain Scheduler in a healthier way.

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    You could find all operations at Operations section

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    Operation Execution Worker IMAGE

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    Runtime Watcher Worker

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    Note: In Maestro a worker is a collection of routines that executes a flow related to one and only one Scheduler each.

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    Runtime Watcher Worker listens to runtime events related to the Scheduler and reflects the changes in Maestro. Currently, it listens for Game Rooms creation, deletion, and update.

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    Runtime Watcher Worker IMAGE

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    Metrics Reporter Worker

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    Note: In Maestro a worker is a collection of routines that executes a flow related to one and only one Scheduler each.

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    From time to time Metrics Reporter Worker watch runtime to report metrics from them, such as the number of game rooms instances that are ready, pending, error, unknown, or terminating status. As well it watches from Game Rooms storage its status that could be ready, pending, error, occupied, terminating, or unready.

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    This module is optional since you don't need it for any specific functionalities of the application.

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    Metrics Reporter Worker IMAGE

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    Kubernetes Usage

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    Kubernetes usage

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    Maestro uses kubernetes for orchestrating game room instances. It uses a unique namespace for each scheduler, and a unique pod for each game room instance.

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    We use client-go for communicating with kubernetes. The Runtime port +is the interface used for managing resources, you can find all of the features we are using for managing k8s resources in it.

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    The diagram below shows how maestro components interact with kubernetes for managing resources.

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    flowchart BT + classDef borderless stroke-width:0px + classDef darkBlue fill:#00008B, color:#fff + classDef brightBlue fill:#6082B6, color:#fff + classDef gray fill:#62524F, color:#fff + classDef gray2 fill:#4F625B, color:#fff + subgraph maestroSystem[ ] + subgraph k8s[ ] + A3[Kubernetes] + end + class k8s,A3 brightBlue + class A3, borderless + subgraph WORKER[ ] + A7[Operation Execution Worker<br/><br/>manage kubernetes resources by creating/deleting/updating pods abnd namespaces] + end + class WORKER,A7 brightBlue + class WORKER,A7 borderless + WORKER--Create namespace<br/>HTTPS-->k8s + WORKER--Delete namespace<br/>HTTPS-->k8s + WORKER--Create pod<br/>HTTPS-->k8s + WORKER--Delete pod<br/>HTTPS-->k8s + subgraph RUNTIME_WATCHER[ ] + A8[Runtime Watcher <br/><br/> watch for change events in managed pods] + end + class RUNTIME_WATCHER,A8 brightBlue + class RUNTIME_WATCHER,A8 borderless + RUNTIME_WATCHER--List/Watch pods<br/>HTTPS-->k8s + end + click A3 "/csymapp/mermaid-c4-model/blob/master/AWAComponent.md" "AWA" +
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    Runtime watcher

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    The runtime watcher component maintains a worker process for each scheduler that keeps watching and processing change +events in pods resources. For doing that, it uses a pods informer, +binding handlers for add, update and delete events for all pods managed by it.

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    This component is not responsible for updating/creating/deleting +kubernetes resources, all it does is to watch for changes and update its game room instances internal representation using redis.

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    Operation execution worker

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    The worker uses kubernetes for managing pods and namespaces. It executes several operations that, alongside other side effects, will need to create, update, and delete namespaces and pods.

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    Currently, maestro does not check for HostPort conflict while creating new rooms

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    One important note regarding how maestro creates pods: each new requested game room instance will be assigned to a pseudo-random port to be used as HostPort.

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    Maestro uses the scheduler PortRange to generate the pseudo-random port. Currently, maestro does not check for HostPort conflict while creating new rooms. The final address +of the game room will be composed of the Node address and the game room container assigned HostPort. That's the reason why +maestro needs access for reading the Node addresses.

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    Configuring cluster access

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    Maestro needs the following permissions for managing resources in a kubernetes cluster: +- nodes: read (we need to use the node address to compose the game room address); +- pods: read, create, update, delete; +- namespace: read, create, update, delete.

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    Maestro provides two ways for configuring kubernetes cluster access.

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    Using inCluster mode

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    Set adapters.runtime.kubernetes.inCluster config value to true or use its env var equivalent, the kubernetes client will be configured +automatically using the same service account of the maestro component running pod.

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    This mode is recommended to be used when running maestro components in the same cluster +in which the schedulers and rooms will be managed.

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    Using kubeconfig mode

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    Populate adapters.runtime.kubernetes.kubeconfig and adapters.runtime.kubernetes.masterUrl configs or use its env var equivalent, the kubernetes client +will be configured using the provided kubeconfig file and master url.

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    Operations

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    What is

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    Operation is a core concept at Maestro, and it represents executions done in multiple layers of Maestro, a state update, or a configuration change. +Operations can be created by user actions while managing schedulers (e.g. consuming management API), or internally by Maestro to fulfill internal states requirements

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    Operations are heavily inspired by the Command Design Pattern

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    Definition and executors

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    Maestro will have multiple operations, and those will be set using pairs of definitions and executors. +An operation definition consists of the operation parameters. +An operation executor is where the actual operation execution and rollback logic is implemented, and it will receive as input its correlated definition. +So, for example, the CreateSchedulerExecutor will always receive a CreateSchedulerDefinition.

    +
    flowchart TD + subgraph operations [Operations] + subgraph operation_implementation [Operation Impl.] + definition(Definition) + executor(Executor) + end + subgraph operation_implementation2 [Operation Impl.] + definition2(Definition) + executor2(Executor) + end + subgraph operation_implementation3 [Operation Impl.] + definition3(Definition) + executor3(Executor) + end + ... + end +
    +

    Operation Structure

    +
      +
    • id: Unique operation identification. Auto-Generated;
      • +
    • status: Operations status. For reference, see here.
      • +
    • definitionName: Name of the operation. For reference, see here.
      • +
    • schedulerName: Name of the scheduler which this operation affects.
      • +
    • createdAt: Timestamp representing when the operation was enqueued.
      • +
    • input: Contains the input value for this operation. Each operation has its own input format. + For details, see below.
      • +
    • executionHistory: Contains logs with detailed info about the operation execution. See below.
      • +
    +
    id: String
+status: String
+definitionName: String
+schedulerName: String
+createdAt: Timestamp
+input: Any
+executionHistory: ExecutionHistory
+
    +

    Input

    +
      +
    • Create Scheduler
      • +
    +
    scheduler: Scheduler
+
    +
      +
    • Create New Scheduler Version
      • +
    +
    scheduler: Scheduler
+
    +
      +
    • Switch Scheduler Version
      • +
    +
    newActiveVersion: Scheduler
+
    +
      +
    • Add Rooms
      • +
    +
    amount: Integer
+
    +
      +
    • Remove Rooms
      • +
    +
    amount: Integer
+
    +

    Execution History

    +
    createdAt: timestamp
+event: String
+
    +
      +
    • createdAt: When did the event happened.
      • +
    • event: What happened. E.g. "Operation failed because...".
      • +
    +

    How does Maestro handle operations

    +
      +
    • Each scheduler has 1 operation execution (no operations running in parallel for a scheduler).
      • +
    • Every operation execution has 1 queue for pending operations.
      • +
    • When the worker is ready to work on a new operation, it'll pop from the queue.
      • +
    • The operation is executed by the worker following the lifecycle described here.
      • +
    +

    State

    +

    An operation can have one of the Status below:

    +
      +
    • +

      Pending: When an operation is enqueued to be executed;

      +
      • +
    • +

      Evicted: When an operation is unknown or should not be executed By Maestro;

      +
      • +
    • +

      In Progress: Operation is currently being executed;

      +
      • +
    • +

      Finished: Operation finished; Execution succeeded;

      +
      • +
    • +

      Error: Operation finished. Execution failed;

      +
      • +
    • +

      Canceled: Operation was canceled by the user.

      +
      • +
    +

    State Machine

    +
    flowchart TD + pending(Pending) + in_progress(In Progress) + evicted(Evicted) + finished(Finished) + canceled(Canceled) + error(Error) + + pending --> in_progress; + pending --> evicted; + in_progress --> finished; + in_progress --> error; + in_progress --> canceled; +
    +

    Lifecycle

    +
    flowchart TD + finish((End)) + created("Created (Pending)") + evicted(Evicted) + error(Error) + finished(Finished) + canceled(Canceled) + should_execute{Should Execute?} + execution_succeeded{Success?} + err_kind{Error Kind} + execute[[Execute]] + rollback[[Rollback]] + canceled_by_user>Canceled By User] + created --> should_execute; + should_execute -- No --> evicted --> finish; + should_execute -- Yes --> execute; + execute --> execution_succeeded; + execute --> canceled_by_user --> rollback; + execution_succeeded -- Yes --> finished --> finish; + execution_succeeded -- No --> rollback; + rollback --> err_kind; + err_kind -- Canceled --> canceled --> finish; + err_kind -- Error --> error --> finish +
    +

    Lease

    +

    What is the operation lease

    +

    Lease is a mechanism to track the operations' execution process and check if we can rely on the current/future operation state.

    +

    Why Operations have it

    +

    Sometimes, an operation might get stuck. It could happen, for example, if the worker crashes during the execution of an operation. +To keep track of operations, we assign each operation a Lease. +This Lease has a TTL (time to live).

    +

    When the operation is being executed, this TTL is renewed each time the lease is about to expire while the operation is still in progress. +It'll be revoked once the operation is finished.

    +

    Troubleshooting

    +

    If an operation is fetched and the TTL expired (the TTL is in the past), the operation probably got stuck, +and we can't rely upon its current state, nor guarantee the required side effects of the execution or rollback have succeeded.

    +

    If an operation does not have a Lease, it either did not start at all (should be on the queue) or is already finished. +An Active Operation without a Lease is at an invalid state.

    +
    +

    Maestro do not have a self-healing routine yet for expired operations.

    +
    +

    Operation Lease Lifecycle

    +
    flowchart TD + finish_routine((End)) + start_routine((Start)) + finish((End)) + + operation_finished{Op. Finished?} + + to_execute[Operation to Execute] + + grant_lease[[Grant Lease]] + renew_lease[[Renew Lease]] + revoke_lease[[Revoke Lease]] + + wait_for_ttl(Wait for TTL) + execute(Execute Operation) + + to_execute --> grant_lease; + grant_lease --> renew_lease_routine; + grant_lease --> execute; + subgraph renew_lease_routine [ASYNC Renew Lease Routine] + start_routine --> wait_for_ttl; + wait_for_ttl --> operation_finished; + operation_finished -- Yes --> revoke_lease; + operation_finished -- No --> renew_lease --> wait_for_ttl; + revoke_lease --> finish_routine; + end + renew_lease_routine --> finish; +
    +

    Available Operations

    +

    For more details on how to use Maestro API, see this section.

    +

    Create Scheduler

    +
      +
    • Accessed through the POST /schedulers endpoint.
      • +
    • Creates the scheduler structure for receiving rooms;
      • +
    • The scheduler structure is validated, but the game room is not;
      • +
    • If operation fails, rollback feature will delete anything created related to scheduler.
      • +
    +

    Create New Scheduler Version

    +
      +
    • Accessed through the POST /schedulers/:schedulerName endpoint.
      • +
    • Creates a validation room (deleted right after). + If Maestro cannot receive pings (not forwarded) from validation game room, operation fails;
      • +
    • When this operation finishes successfully, it enqueues the "Switch Active Version".
      • +
    • If operation fails rollback routine deletes anything (except for the operation) created related to new version.
      • +
    +

    Switch Active Version

    +
      +
    • Accessed through PUT /schedulers/:schedulerName endpoint.
      • +
    • If it's a major change (anything under Scheduler.Spec changed), GRUs are replaced using scheduler maxSurge property;
      • +
    • If it's a minor change (Scheduler.Spec haven't changed), GRUs are not replaced;
      • +
    +

    Add Rooms

    +
      +
    • Accessed through POST /schedulers/:schedulerName/add-rooms endpoint.
      • +
    • If any room fail on creating, the operation fails and created rooms are deleted on rollback feature;
      • +
    +

    Remove Rooms

    +
      +
    • Accessed through POST /schedulers/:schedulerName/remove-rooms endpoint.
      • +
    • Remove rooms based on amount;
      • +
    • Rollback routine does nothing.
      • +
    +
    +
    + + + Last update: + 2023-08-07 + + +
    +
    +
    +
    +
    + +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/reference/Scheduler/index.html b/reference/Scheduler/index.html new file mode 100644 index 000000000..48a67a57e --- /dev/null +++ b/reference/Scheduler/index.html @@ -0,0 +1,772 @@ + + + + + + + + + + + +Scheduler - Maestro + + + + + + + + + + + + +
    +
    +
    + +
    +
    +
    +
    +
    +
    +
    + +
    +
    +
    +
    +
    +
    + +
    +
    +
    +
    +
    +

    Scheduler

    +

    What is

    +

    Objectively, a Scheduler is a recipe, and contains all the information for creating +game rooms and forwarding rooms information to other services.

    +

    Also, it's the core entity for operating game rooms in +Maestro, since all game rooms are related to a specific scheduler.

    +

    A game can have multiple schedulers, and each scheduler can have multiple game rooms up and running.

    +
    flowchart TD + etc1("...") + etc2("...") + etc3("...") + + subgraph game [Game] + subgraph scheduler_1 [Scheduler 1] + gameRoom1("Game Room (host:port)") + gameRoom2("Game Room (host:port)") + etc1 + end + subgraph scheduler_2 [Scheduler 2] + gameRoom3("Game Room (host:port)") + gameRoom4("Game Room (host:port)") + etc2 + end + etc3 + end +
    +

    How to Operate

    +

    To directly interact with a Scheduler, the user enqueues operations using the management API.

    +

    These operations are responsible for creating a scheduler or newer versions, switching an active version, adding/removing rooms, etc.

    +

    Because of that, everything that happens for a Scheduler can be tracked based on history of the operations executed for +that scheduler and the order they were executed.

    +

    Versions

    +

    A Scheduler have versions, and each time we want to change scheduler properties, we end-up creating a new version to it.

    +
    +

    Versions are directly calculated by Maestro, not sent by the client.

    +

    The client can only switch the active version based on the versions created by Maestro. To switch to an specific version, see this.

    +
    +

    This version can either be a Minor or a Major change.

    +
      +
    • Major version: Replace the game rooms in a switch active version event.
      • +
    • Basically, any change under spec, that are related to the game room directly.
      • +
    • Minor version: Don't replace game rooms in a switch active version event.
      • +
    • Info such as MaxSurge or forwarders, that do not impact the game rooms.
      • +
    +

    Example

    +

    A complete Scheduler looks like this:

    +
    +YAML +
    +
    +name: scheduler-test
+game: game-test
+state: creating
+portRange:
+  start: 40000
+  end: 60000
+maxSurge: 30%
+spec:
+  terminationGracePeriod: '100'
+  containers:
+    - name: alpine
+      image: alpine
+      imagePullPolicy: IfNotPresent
+      command:
+        - /bin/sh
+        - '-c'
+        - >-
+          apk add curl && while true; do curl --request POST
+          {{maestro-rooms-api}}/scheduler/$MAESTRO_SCHEDULER_NAME/rooms/$MAESTRO_ROOM_ID/ping
+          --data-raw '{"status": "ready","timestamp": "12312312313"}' && sleep
+          1; done
+      environment:
+        - name: env-var-name
+          value: env-var-value
+        - name: env-var-field-ref
+          valueFrom:
+            fieldRef:
+              fieldPath: path
+        - name: secret-var-name
+          valueFrom:
+            secretKeyRef:
+              name: secret-name
+              key: secret-key
+      requests:
+        memory: 20Mi
+        cpu: 100m
+      limits:
+        memory: 200Mi
+        cpu: 200m
+      ports:
+        - name: port-name
+          protocol: tcp
+          port: 12345
+  toleration: maestro
+  affinity: maestro-dedicated
+forwarders:
+  - name: test
+    enable: true
+    type: gRPC
+    address: {{host}}
+    options:
+      timeout: '1000'
+      metadata: {}
+autoscaling:
+  enabled: true
+  min: 1
+  max: 10
+  policy:
+    type: roomOccupancy
+    parameters:
+      ...
+      // Will vary according to the policy type.
+
    +
    +
    +
    +JSON +
    +{
+    "name": "scheduler-test",
+    "game": "game-test",
+    "portRange": {
+        "start": 40000,
+        "end": 60000
+    },
+    "annotations":{
+      "imageregistry":"https://dockerhub.com/"    
+    },
+    "maxSurge": "30%",
+    "spec": {
+        "terminationGracePeriod": '100',
+        "containers": [
+            {
+                "name": "alpine",
+                "image": "alpine",
+                "imagePullPolicy": "IfNotPresent",
+                "command": [
+                    "/bin/sh",
+                    "-c",
+                    "apk add curl && while true; do curl --request POST {{maestro-rooms-api}}/scheduler/$MAESTRO_SCHEDULER_NAME/rooms/$MAESTRO_ROOM_ID/ping --data-raw '{"status": "ready","timestamp": "12312312313"}' && sleep 1; done"
+                ],
+                "environment": [
+                    {
+                        "name": "env-var-name",
+                        "value": env-var-value
+                    },
+                    {
+                        "name": "env-var-field-ref",
+                        "valueFrom": {
+                            "fieldRef": {
+                                "fieldPath": "path"
+                            }
+                        }
+                    },
+                    {
+                        "name": "secret-var-name",
+                        "valueFrom": {
+                            "secretKeyRef": {
+                                "name": "secret-name",
+                                "key": "secret-key"
+                            }
+                        }
+                    }
+                ],
+                "requests": {
+                    "memory": "20Mi",
+                    "cpu": "100m"
+                },
+                "limits": {
+                    "memory": "200Mi",
+                    "cpu": "200m"
+                },
+                "ports": [
+                    {
+                        "name": "port-name",
+                        "protocol": "tcp",
+                        "port": 12345,
+                    }
+                ]
+            }
+        ],
+        "toleration": "maestro",
+        "affinity": "maestro-dedicated"
+    },
+    "forwarders": [
+        {
+            "name": "test",
+            "enable": true,
+            "type": "gRPC",
+            "address": "{{host}}",
+            "options": {
+                "timeout": '1000',
+                "metadata": {}
+            }
+        }
+    ]
+    "autoscaling": {
+      "enabled": true,
+      "min": 10,
+      "max": 300,
+      "policy": {
+        "type": "roomOccupancy",
+        "parameters": {
+          ...
+          // Will vary according to the policy type.
+        }
+      }
+    }
+}
+
    +
    +
    +

    Structure

    +

    The scheduler is represented as:

    +
    name: String
+game: String
+createdAt: Timestamp
+maxSurge: String | Integer
+portRange: PortRange
+forwarders: Forwarders
+autoscaling: Autoscaling
+spec: Spec
+annotation: Map
+
    +
      +
    • Name: Scheduler name. This name is unique and will be the same name used for the kubernetes namespace. It's + offered by the user in the creation and cannot be changed in the future. It's used as an ID for the scheduler;
      • +
    • game: Name of the game which will use the scheduler. The game is important since it's common to use multiple + schedulers for a specific game. So you probably will want to fetch all the schedulers from a game;
      • +
    • createdAt: Info about the scheduler creation time. Cannot be altered by the user;
      • +
    • maxSurge: Value represented in percentage (%) or Integer. Offered by the user on the scheduler creation. Can be + altered anytime. Used by Maestro to replace pods. Ex: If maxSurge = 3, + the Switch Active Version (Major change) operation will replace pods from 3 to + 3;
      • +
    • portRange: Range of ports that can be used by Maestro to create GRUs for the specified scheduler. Can be altered + by the user anytime. More info here;
      • +
    • forwarders: Maestro can pass ahead info sent by the game rooms, such as Ping (Ready, Occupied, Terminating...), + player and rooms events. The receivers can be configured here. More info here;
      • +
    • autoscaling: Optional autoscaling policy configuration. More info here;
      • +
    • spec: Specifications about the game rooms managed by the scheduler, such as containers and environment variables + used by them, limits and images. More info here.
      • +
    • annotations: Allows annotations for the scheduler's game room. Know more about annotations on + Kubernetes here
      • +
    +

    PortRange

    +

    The PortRange is used to select a random port for a GRU between start and end.

    +
      +
    • PortRange cannot be null or empty
      • +
    +
    +

    Check if the ports offered are available and can be used. +A firewall rule, for example, can affect the connection to the Game Room in the specific port.

    +
    +

    It is represented as:

    +
    start: Integer
+end: Integer
+
    +

    Forwarders

    +

    Forwarders are configured to pass ahead info offered by the game rooms to Maestro. +More than one forwarder can be configured for a scheduler.

    +
      +
    • Can be an empty list.
      • +
    +

    It is represented as:

    +
    - name: String
+  enable: Bool
+  type: String
+  address: String
+  options:
+    timeout: Integer
+    metadata: Object
+
    +
      +
    • name: Name of the forwarder. Used only for reference (visibility and recognition);
      • +
    • enable: Toggle to easily enable/disable the forwarder;
      • +
    • type: Type of the forwarder. Right now, only accepts gRPC;
      • +
    • address: Address used by the scheduler to forward events. E.g. 'api.example.com:8080';
      • +
    • options: Optional parameters.
        +
      • timeout: Timeout value for an event to successfully be forwarded;
        • +
      • metadata: Object that can contain any useful information for the game team. Will be forwarded with the events from Maestro.
        • +
      +
      • +
    +

    Spec

    +

    Contains vital information about the game rooms. Be aware that the spec is the most related aspect of the scheduler interacting with the runtime. +It might be important to understand the basics of kubernetes before deep diving into the Maestro scheduler itself.

    +
      +
    • Cannot be empty or null.
      • +
    +

    It is represented as:

    +
    terminationGracePeriod: Integer
+containers: Containers
+toleration: String
+affinity: String
+
    +
      +
    • terminationGracePeriod: Required integer value. Must be greater than 0. When a game room receives the signal to be deleted, it will take this value (in milliseconds) to be completely deleted;
      • +
    • containers: Contain the information about the game room, such as the image and environment variables. This is a list since the game room can be compounded by +more than two containers;
      • +
    • toleration: Kubernetes specific. Represents the toleration value for all GRUs on the scheduler. See more;
      • +
    • affinity: Kubernetes specific. Represents the affinity value for all GRUs on the scheduler. See more.
      • +
    +

    Containers

    +

    Contain the information about the game room, such as the image and environment variables.

    +
      +
    • Cannot be an empty list.
      • +
    +

    It is represented as:

    +
    - name: String
+  image: String
+  imagePullPolicy: String
+  command: Array<String>
+  environment: EnvironemntVariables
+  requests:
+    memory: String
+    cpu: String
+  limits:
+    memory: String
+    cpu: String
+  ports: Ports
+
    +
      +
    • name: Name of the container, used only for reference and can be changed by the user anytime.
      • +
    • image: Docker image to be used for the container. Represented as a link.
      • +
    • imagePullPolicy: Kubernetes specific. See here for reference.
      • +
    • command: List of commands that should be executed by the image on execution. E.g. here.
      • +
    • environment: List of environment variables. See here.
      • +
    • requests and limits: Kubernetes specific. See here.
      • +
    • ports: The list of ports your game server exposes. See here.
      • +
    +

    Environment Variables

    +

    List of environment variables used by the GRU.

    +
      +
    • Can be an empty list.
      • +
    +

    There are, now, 3 supported formats by Maestro:

    +
      +
    • Simple name-value format.
      • +
    +
    +With Name/Value +
    +
    +- name: String
+  value: String
    +
    +
    +
      +
    • Exposing pod fields (kubernetes specific). See here.
      • +
    +
    +With FieldRef/FieldPath +
    +
    +- name: String
+  valueFrom:
+    fieldRef:
+      fieldPath: String
    +
    +
    +
      +
    • Secrets as environment variables (kubernetes specific). See here.
      • +
    +
    +With Secret +
    +
    +- name: String
+  valueFrom:
+    secretKeyRef:
+      name: String
+      key: String
    +
    +
    +

    Ports

    +

    The list of ports your game server exposes.

    +
      +
    • Can be an empty list.
      • +
    +

    It is represented as:

    +
    - name: String
+  protocol: String
+  port: Integer
+
    +
      +
    • name: Name of the port. Facilitates on recognition;
      • +
    • protocol: Port protocol. Can be UDP, TCP or SCTP.;
      • +
    • port: The port exposed.
      • +
    +
    +
    + + + Last update: + 2023-08-07 + + +
    +
    +
    +
    +
    + +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/reference/apidocs.json b/reference/apidocs.json new file mode 100644 index 000000000..1e3f5854c --- /dev/null +++ b/reference/apidocs.json @@ -0,0 +1,1875 @@ +{ + "swagger": "2.0", + "info": { + "title": "Maestro", + "version": "version not set" + }, + "tags": [ + { + "name": "OperationsService" + }, + { + "name": "RoomsService" + }, + { + "name": "SchedulersService" + } + ], + "schemes": [ + "http", + "https" + ], + "consumes": [ + "application/json" + ], + "produces": [ + "application/json" + ], + "paths": { + "/scheduler/{schedulerName}/rooms/{roomName}/address": { + "get": { + "summary": "Gets room public addresses.", + "operationId": "RoomsService_GetRoomAddress", + "responses": { + "200": { + "description": "A successful response.", + "schema": { + "$ref": "#/definitions/v1GetRoomAddressResponse" + } + }, + "default": { + "description": "An unexpected error response.", + "schema": { + "$ref": "#/definitions/rpcStatus" + } + } + }, + "parameters": [ + { + "name": "schedulerName", + "description": "Target scheduler name.\nNOTE: On http protocol, this operates as a path param.", + "in": "path", + "required": true, + "type": "string", + "pattern": "[^/]+" + }, + { + "name": "roomName", + "description": "Target room name.\nNOTE: On http protocol, this operates as a path param.", + "in": "path", + "required": true, + "type": "string", + "pattern": "[^/]+" + } + ], + "tags": [ + "RoomsService" + ] + } + }, + "/scheduler/{schedulerName}/rooms/{roomName}/ping": { + "put": { + "summary": "Updates a game room with ping data.", + "operationId": "RoomsService_UpdateRoomWithPing", + "responses": { + "200": { + "description": "A successful response.", + "schema": { + "$ref": "#/definitions/v1UpdateRoomWithPingResponse" + } + }, + "default": { + "description": "An unexpected error response.", + "schema": { + "$ref": "#/definitions/rpcStatus" + } + } + }, + "parameters": [ + { + "name": "schedulerName", + "description": "Target scheduler name.\nNOTE: On http protocol, this operates as a path param.", + "in": "path", + "required": true, + "type": "string", + "pattern": "[^/]+" + }, + { + "name": "roomName", + "description": "Target room name.\nNOTE: On http protocol, this operates as a path param.", + "in": "path", + "required": true, + "type": "string", + "pattern": "[^/]+" + }, + { + "name": "body", + "in": "body", + "required": true, + "schema": { + "type": "object", + "properties": { + "metadata": { + "type": "object", + "description": "Target room metadata." + }, + "status": { + "type": "string", + "description": "Indicates the room status." + }, + "timestamp": { + "type": "string", + "format": "int64", + "description": "Timestamp of the ping event." + } + }, + "description": "The ping request." + } + } + ], + "tags": [ + "RoomsService" + ] + } + }, + "/scheduler/{schedulerName}/rooms/{roomName}/playerevent": { + "post": { + "summary": "Forward the incoming player event.", + "operationId": "RoomsService_ForwardPlayerEvent", + "responses": { + "200": { + "description": "A successful response.", + "schema": { + "$ref": "#/definitions/v1ForwardPlayerEventResponse" + } + }, + "default": { + "description": "An unexpected error response.", + "schema": { + "$ref": "#/definitions/rpcStatus" + } + } + }, + "parameters": [ + { + "name": "schedulerName", + "description": "Target scheduler name.\nNOTE: On http protocol, this operates as a path param.", + "in": "path", + "required": true, + "type": "string", + "pattern": "[^/]+" + }, + { + "name": "roomName", + "description": "Target room name.\nNOTE: On http protocol, this operates as a path param.", + "in": "path", + "required": true, + "type": "string", + "pattern": "[^/]+" + }, + { + "name": "body", + "in": "body", + "required": true, + "schema": { + "type": "object", + "properties": { + "metadata": { + "type": "object", + "description": "Player event metadata." + }, + "event": { + "type": "string", + "description": "The player event name." + }, + "timestamp": { + "type": "string", + "format": "int64", + "description": "Timestamp of the player event." + } + }, + "description": "The player event request." + } + } + ], + "tags": [ + "RoomsService" + ] + } + }, + "/scheduler/{schedulerName}/rooms/{roomName}/roomevent": { + "post": { + "summary": "Forward the incoming room event.", + "operationId": "RoomsService_ForwardRoomEvent", + "responses": { + "200": { + "description": "A successful response.", + "schema": { + "$ref": "#/definitions/v1ForwardRoomEventResponse" + } + }, + "default": { + "description": "An unexpected error response.", + "schema": { + "$ref": "#/definitions/rpcStatus" + } + } + }, + "parameters": [ + { + "name": "schedulerName", + "description": "Target scheduler name.\nNOTE: On http protocol, this operates as a path param.", + "in": "path", + "required": true, + "type": "string", + "pattern": "[^/]+" + }, + { + "name": "roomName", + "description": "Target room name.\nNOTE: On http protocol, this operates as a path param.", + "in": "path", + "required": true, + "type": "string", + "pattern": "[^/]+" + }, + { + "name": "body", + "in": "body", + "required": true, + "schema": { + "type": "object", + "properties": { + "metadata": { + "type": "object", + "description": "Room event metadata." + }, + "event": { + "type": "string", + "description": "The room event name." + }, + "timestamp": { + "type": "string", + "format": "int64", + "description": "Timestamp of the room event." + } + }, + "description": "The room event request." + } + } + ], + "tags": [ + "RoomsService" + ] + } + }, + "/scheduler/{schedulerName}/rooms/{roomName}/status": { + "put": { + "summary": "Endpoint created for maintaining compatibility with previous maestro version (v9). It is currently deprecated.", + "operationId": "RoomsService_UpdateRoomStatus", + "responses": { + "200": { + "description": "A successful response.", + "schema": { + "$ref": "#/definitions/v1UpdateRoomStatusResponse" + } + }, + "default": { + "description": "An unexpected error response.", + "schema": { + "$ref": "#/definitions/rpcStatus" + } + } + }, + "parameters": [ + { + "name": "schedulerName", + "description": "Target scheduler name.\nNOTE: On http protocol, this operates as a path param.", + "in": "path", + "required": true, + "type": "string", + "pattern": "[^/]+" + }, + { + "name": "roomName", + "description": "Target room name.\nNOTE: On http protocol, this operates as a path param.", + "in": "path", + "required": true, + "type": "string", + "pattern": "[^/]+" + }, + { + "name": "body", + "in": "body", + "required": true, + "schema": { + "type": "object", + "properties": { + "metadata": { + "type": "object", + "description": "Status update metadata." + }, + "status": { + "type": "string", + "description": "The room status." + }, + "timestamp": { + "type": "string", + "format": "int64", + "description": "Timestamp of the status update." + } + }, + "description": "The player event request." + } + } + ], + "tags": [ + "RoomsService" + ] + } + }, + "/schedulers": { + "get": { + "summary": "Lists all schedulers.", + "operationId": "SchedulersService_ListSchedulers", + "responses": { + "200": { + "description": "A successful response.", + "schema": { + "$ref": "#/definitions/v1ListSchedulersResponse" + } + }, + "default": { + "description": "An unexpected error response.", + "schema": { + "$ref": "#/definitions/rpcStatus" + } + } + }, + "parameters": [ + { + "name": "name", + "description": "Unique identifier for the scheduler.", + "in": "query", + "required": false, + "type": "string" + }, + { + "name": "game", + "description": "Game the new scheduler will be part of.", + "in": "query", + "required": false, + "type": "string" + }, + { + "name": "version", + "description": "Version to for the scheduler.", + "in": "query", + "required": false, + "type": "string" + } + ], + "tags": [ + "SchedulersService" + ] + }, + "post": { + "summary": "Create a scheduler.", + "operationId": "SchedulersService_CreateScheduler", + "responses": { + "200": { + "description": "A successful response.", + "schema": { + "$ref": "#/definitions/v1CreateSchedulerResponse" + } + }, + "default": { + "description": "An unexpected error response.", + "schema": { + "$ref": "#/definitions/rpcStatus" + } + } + }, + "parameters": [ + { + "name": "body", + "description": "Scheduler is the struct that defines a maestro scheduler.", + "in": "body", + "required": true, + "schema": { + "$ref": "#/definitions/v1CreateSchedulerRequest" + } + } + ], + "tags": [ + "SchedulersService" + ] + } + }, + "/schedulers/info": { + "get": { + "summary": "List Scheduler and Game Rooms info by Game", + "operationId": "SchedulersService_GetSchedulersInfo", + "responses": { + "200": { + "description": "A successful response.", + "schema": { + "$ref": "#/definitions/v1GetSchedulersInfoResponse" + } + }, + "default": { + "description": "An unexpected error response.", + "schema": { + "$ref": "#/definitions/rpcStatus" + } + } + }, + "parameters": [ + { + "name": "game", + "description": "Game name to filter schedulers", + "in": "query", + "required": false, + "type": "string" + } + ], + "tags": [ + "SchedulersService" + ] + } + }, + "/schedulers/{name}": { + "post": { + "summary": "Creates new scheduler version and switch it to active version.", + "operationId": "SchedulersService_NewSchedulerVersion", + "responses": { + "200": { + "description": "A successful response.", + "schema": { + "$ref": "#/definitions/v1NewSchedulerVersionResponse" + } + }, + "default": { + "description": "An unexpected error response.", + "schema": { + "$ref": "#/definitions/rpcStatus" + } + } + }, + "parameters": [ + { + "name": "name", + "description": "Unique identifier for the scheduler.", + "in": "path", + "required": true, + "type": "string", + "pattern": "[^/]+" + }, + { + "name": "body", + "in": "body", + "required": true, + "schema": { + "type": "object", + "properties": { + "game": { + "type": "string", + "description": "Game the new scheduler will be part of." + }, + "spec": { + "$ref": "#/definitions/v1Spec", + "description": "The spec object defines all the game room container configurations and spec." + }, + "portRange": { + "$ref": "#/definitions/v1PortRange", + "description": "The port range object describes what is the port range used to allocate game rooms." + }, + "maxSurge": { + "type": "string", + "title": "The max surge of new rooms, used to scale and update" + }, + "roomsReplicas": { + "type": "integer", + "format": "int32", + "description": "The rooms replicas is the desired number of rooms that maestro should keep available." + }, + "autoscaling": { + "$ref": "#/definitions/v1Autoscaling", + "title": "The autoscaling defines the autoscaling and its policy to be followed" + }, + "forwarders": { + "type": "array", + "items": { + "$ref": "#/definitions/v1Forwarder" + }, + "title": "List of Scheduler forwarders" + }, + "annotations": { + "type": "object", + "additionalProperties": { + "type": "string" + }, + "title": "New annotations for scheduler" + } + }, + "description": "Scheduler is the struct that defines a maestro scheduler." + } + } + ], + "tags": [ + "SchedulersService" + ] + }, + "patch": { + "summary": "Patch a scheduler and switch it to active version.", + "operationId": "SchedulersService_PatchScheduler", + "responses": { + "200": { + "description": "A successful response.", + "schema": { + "$ref": "#/definitions/v1PatchSchedulerResponse" + } + }, + "default": { + "description": "An unexpected error response.", + "schema": { + "$ref": "#/definitions/rpcStatus" + } + } + }, + "parameters": [ + { + "name": "name", + "description": "Unique identifier for the scheduler.", + "in": "path", + "required": true, + "type": "string", + "pattern": "[^/]+" + }, + { + "name": "body", + "in": "body", + "required": true, + "schema": { + "type": "object", + "properties": { + "spec": { + "$ref": "#/definitions/v1OptionalSpec", + "description": "The spec object defines all the game room container configurations and spec." + }, + "portRange": { + "$ref": "#/definitions/v1PortRange", + "description": "The port range object describes what is the port range used to allocate game rooms." + }, + "maxSurge": { + "type": "string", + "title": "The max surge of new rooms, used to scale and update" + }, + "roomsReplicas": { + "type": "integer", + "format": "int32", + "title": "Rooms Replicas is the desired number of rooms" + }, + "autoscaling": { + "$ref": "#/definitions/v1OptionalAutoscaling", + "title": "Autoscaling rules to the scheduler" + }, + "forwarders": { + "type": "array", + "items": { + "$ref": "#/definitions/v1Forwarder" + }, + "title": "List of Scheduler forwarders" + }, + "annotations": { + "type": "object", + "additionalProperties": { + "type": "string" + }, + "title": "Annotations declaration for the scheduler" + } + }, + "description": "PatchSchedulerRequest is the struct that defines a partial update of a maestro scheduler." + } + } + ], + "tags": [ + "SchedulersService" + ] + } + }, + "/schedulers/{schedulerName}": { + "get": { + "summary": "Get Specific Scheduler by name", + "operationId": "SchedulersService_GetScheduler", + "responses": { + "200": { + "description": "A successful response.", + "schema": { + "$ref": "#/definitions/v1GetSchedulerResponse" + } + }, + "default": { + "description": "An unexpected error response.", + "schema": { + "$ref": "#/definitions/rpcStatus" + } + } + }, + "parameters": [ + { + "name": "schedulerName", + "description": "Scheduler name where the rooms will be added.", + "in": "path", + "required": true, + "type": "string", + "pattern": "[^/]+" + }, + { + "name": "version", + "description": "Scheduler version to be queried (query param)", + "in": "query", + "required": false, + "type": "string" + } + ], + "tags": [ + "SchedulersService" + ] + }, + "delete": { + "summary": "List Scheduler and Game Rooms info by Game", + "operationId": "SchedulersService_DeleteScheduler", + "responses": { + "200": { + "description": "A successful response.", + "schema": { + "$ref": "#/definitions/v1DeleteSchedulerResponse" + } + }, + "default": { + "description": "An unexpected error response.", + "schema": { + "$ref": "#/definitions/rpcStatus" + } + } + }, + "parameters": [ + { + "name": "schedulerName", + "description": "Scheduler name to be deleted\nNOTE: On http protocol, this operates as a path param.", + "in": "path", + "required": true, + "type": "string", + "pattern": "[^/]+" + } + ], + "tags": [ + "SchedulersService" + ] + }, + "put": { + "summary": "Switch Active Version to Scheduler", + "operationId": "SchedulersService_SwitchActiveVersion", + "responses": { + "200": { + "description": "A successful response.", + "schema": { + "$ref": "#/definitions/v1SwitchActiveVersionResponse" + } + }, + "default": { + "description": "An unexpected error response.", + "schema": { + "$ref": "#/definitions/rpcStatus" + } + } + }, + "parameters": [ + { + "name": "schedulerName", + "description": "Scheduler Name", + "in": "path", + "required": true, + "type": "string", + "pattern": "[^/]+" + }, + { + "name": "body", + "in": "body", + "required": true, + "schema": { + "type": "object", + "properties": { + "version": { + "type": "string", + "title": "Version that will be activate in Scheduler" + } + }, + "title": "Switch Active Version Request" + } + } + ], + "tags": [ + "SchedulersService" + ] + } + }, + "/schedulers/{schedulerName}/operations": { + "get": { + "summary": "List operations based on a scheduler.", + "operationId": "OperationsService_ListOperations", + "responses": { + "200": { + "description": "A successful response.", + "schema": { + "$ref": "#/definitions/v1ListOperationsResponse" + } + }, + "default": { + "description": "An unexpected error response.", + "schema": { + "$ref": "#/definitions/rpcStatus" + } + } + }, + "parameters": [ + { + "name": "schedulerName", + "description": "Scheduler name that the operations are part of.\nNOTE: On http protocol, this operates as a path param.", + "in": "path", + "required": true, + "type": "string", + "pattern": "[^/]+" + }, + { + "name": "orderBy", + "description": "Optional parameter for enabling operations sorting.\nGeneral `order_by` string syntax: \u003cfield\u003e (\u003casc|desc\u003e)\nDefault value is `created_at desc`\nNOTE: On http protocol, this operates as a query parameter.", + "in": "query", + "required": false, + "type": "string" + }, + { + "name": "stage", + "description": "Required parameter for enabling filter by operation execution stage, can be one of [pending, active, final].", + "in": "query", + "required": false, + "type": "string" + }, + { + "name": "page", + "description": "Parameter for pagination, indicates the page number.", + "in": "query", + "required": false, + "type": "integer", + "format": "int64" + }, + { + "name": "perPage", + "description": "Optional parameter for pagination, indicates the number of items per page.", + "in": "query", + "required": false, + "type": "integer", + "format": "int64" + } + ], + "tags": [ + "OperationsService" + ] + } + }, + "/schedulers/{schedulerName}/operations/{operationId}": { + "get": { + "summary": "Get operation based on scheduler name and operation ID", + "operationId": "OperationsService_GetOperation", + "responses": { + "200": { + "description": "A successful response.", + "schema": { + "$ref": "#/definitions/v1GetOperationResponse" + } + }, + "default": { + "description": "An unexpected error response.", + "schema": { + "$ref": "#/definitions/rpcStatus" + } + } + }, + "parameters": [ + { + "name": "schedulerName", + "description": "Scheduler name that the operations are part of.\nNOTE: On http protocol, this operates as a path param.", + "in": "path", + "required": true, + "type": "string", + "pattern": "[^/]+" + }, + { + "name": "operationId", + "description": "ID of the requested operation.\nNOTE: On http protocol, this operates as a path param.", + "in": "path", + "required": true, + "type": "string", + "pattern": "[^/]+" + } + ], + "tags": [ + "OperationsService" + ] + } + }, + "/schedulers/{schedulerName}/operations/{operationId}/cancel": { + "post": { + "summary": "Cancel operation based on scheduler name and operation ID", + "operationId": "OperationsService_CancelOperation", + "responses": { + "200": { + "description": "A successful response.", + "schema": { + "$ref": "#/definitions/v1CancelOperationResponse" + } + }, + "default": { + "description": "An unexpected error response.", + "schema": { + "$ref": "#/definitions/rpcStatus" + } + } + }, + "parameters": [ + { + "name": "schedulerName", + "description": "Scheduler name where the operation relies on.", + "in": "path", + "required": true, + "type": "string", + "pattern": "[^/]+" + }, + { + "name": "operationId", + "description": "Operation identifier to be canceled.", + "in": "path", + "required": true, + "type": "string", + "pattern": "[^/]+" + } + ], + "tags": [ + "OperationsService" + ] + } + }, + "/schedulers/{schedulerName}/versions": { + "get": { + "summary": "Given a Scheduler, returns it's versions", + "operationId": "SchedulersService_GetSchedulerVersions", + "responses": { + "200": { + "description": "A successful response.", + "schema": { + "$ref": "#/definitions/v1GetSchedulerVersionsResponse" + } + }, + "default": { + "description": "An unexpected error response.", + "schema": { + "$ref": "#/definitions/rpcStatus" + } + } + }, + "parameters": [ + { + "name": "schedulerName", + "description": "Scheduler name whose versions the client wants to fetch", + "in": "path", + "required": true, + "type": "string", + "pattern": "[^/]+" + } + ], + "tags": [ + "SchedulersService" + ] + } + } + }, + "definitions": { + "apiv1Operation": { + "type": "object", + "properties": { + "id": { + "type": "string", + "description": "Unique identifier for the operation." + }, + "status": { + "type": "string", + "description": "Current status of the operation.\nTODO(gabrielcorado): change to enum." + }, + "definitionName": { + "type": "string", + "description": "Name of the operation being executed." + }, + "lease": { + "$ref": "#/definitions/v1Lease", + "description": "Operation lease. This is an optional field since not all operations have a lease." + }, + "schedulerName": { + "type": "string", + "description": "Scheduler identifier that the operation is from." + }, + "createdAt": { + "type": "string", + "format": "date-time", + "description": "Time the operation was created." + }, + "input": { + "type": "object", + "description": "Input the data that was sent by client." + }, + "executionHistory": { + "type": "array", + "items": { + "$ref": "#/definitions/v1OperationEvent" + }, + "description": "ExecutionHistory is the execution details filled by Maestro." + } + }, + "title": "The operation object representation" + }, + "protobufAny": { + "type": "object", + "properties": { + "@type": { + "type": "string" + } + }, + "additionalProperties": {} + }, + "protobufNullValue": { + "type": "string", + "enum": [ + "NULL_VALUE" + ], + "default": "NULL_VALUE", + "description": "`NullValue` is a singleton enumeration to represent the null value for the\n`Value` type union.\n\n The JSON representation for `NullValue` is JSON `null`.\n\n - NULL_VALUE: Null value." + }, + "rpcStatus": { + "type": "object", + "properties": { + "code": { + "type": "integer", + "format": "int32" + }, + "message": { + "type": "string" + }, + "details": { + "type": "array", + "items": { + "$ref": "#/definitions/protobufAny" + } + } + } + }, + "v1Autoscaling": { + "type": "object", + "properties": { + "enabled": { + "type": "boolean", + "title": "Enable flag to autoscaling feature" + }, + "min": { + "type": "integer", + "format": "int32", + "title": "Min is the minimum number of game rooms that a scheduler should have" + }, + "max": { + "type": "integer", + "format": "int32", + "title": "Max is the maximum number of game rooms that a scheduler should have" + }, + "policy": { + "$ref": "#/definitions/v1AutoscalingPolicy", + "title": "Policy is the autoscaling policy that scheduler should follow" + } + }, + "title": "Autoscaling struct representation" + }, + "v1AutoscalingInfo": { + "type": "object", + "properties": { + "enabled": { + "type": "boolean", + "title": "Enable flag to autoscaling feature" + }, + "min": { + "type": "integer", + "format": "int32", + "title": "Min is the minimum number of game rooms that a scheduler should have" + }, + "max": { + "type": "integer", + "format": "int32", + "title": "Max is the maximum number of game rooms that a scheduler should have" + } + }, + "title": "Autoscaling Info for schedulerInfo message" + }, + "v1AutoscalingPolicy": { + "type": "object", + "properties": { + "type": { + "type": "string", + "title": "Type is the policy type to the scheduler" + }, + "parameters": { + "$ref": "#/definitions/v1PolicyParameters", + "title": "Parameters is the autoscaling arguments to guide the policy execution" + } + }, + "title": "AutoscalingPolicy object representation" + }, + "v1CancelOperationResponse": { + "type": "object", + "description": "Empty response of the cancel operation request." + }, + "v1Container": { + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "Name of the container." + }, + "image": { + "type": "string", + "description": "Image address ." + }, + "imagePullPolicy": { + "type": "string", + "description": "Image pull policy: Always, Never and IfNotExists." + }, + "command": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Container command to be called when container is instantiated." + }, + "environment": { + "type": "array", + "items": { + "$ref": "#/definitions/v1ContainerEnvironment" + }, + "description": "Container environment variables." + }, + "requests": { + "$ref": "#/definitions/v1ContainerResources", + "description": "Container resources request (cpu/memory)." + }, + "limits": { + "$ref": "#/definitions/v1ContainerResources", + "description": "Container resources limits (cpu/memory)." + }, + "ports": { + "type": "array", + "items": { + "$ref": "#/definitions/v1ContainerPort" + }, + "description": "Container exposed ports definitions." + } + }, + "description": "Container is the struct that defines a game room container configuration." + }, + "v1ContainerEnvironment": { + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "Container environment variable name." + }, + "value": { + "type": "string", + "description": "Container environment variable value." + }, + "valueFrom": { + "$ref": "#/definitions/v1ContainerEnvironmentValueFrom", + "description": "Source for the environment variable's value. Cannot be used if value is not empty." + } + }, + "description": "Container environment variables." + }, + "v1ContainerEnvironmentValueFrom": { + "type": "object", + "properties": { + "fieldRef": { + "$ref": "#/definitions/v1ContainerEnvironmentValueFromFieldRef", + "description": "Container environment variable name using field reference, supports metadata.name, metadata.namespace, `metadata.labels['\u003cKEY\u003e']`, `metadata.annotations['\u003cKEY\u003e']`,\nspec.nodeName, spec.serviceAccountName, status.hostIP, status.podIP, status.podIPs." + }, + "secretKeyRef": { + "$ref": "#/definitions/v1ContainerEnvironmentValueFromSecretKeyRef", + "description": "Container environment variable value using a secret key reference contained in the namespace." + } + }, + "title": "Container environment ValueFrom possible values" + }, + "v1ContainerEnvironmentValueFromFieldRef": { + "type": "object", + "properties": { + "fieldPath": { + "type": "string", + "description": "The field path of the pod: supports metadata.name, metadata.namespace, `metadata.labels['\u003cKEY\u003e']`, `metadata.annotations['\u003cKEY\u003e']`,\nspec.nodeName, spec.serviceAccountName, status.hostIP, status.podIP, status.podIPs." + } + }, + "description": "Container environment valueFrom using field reference." + }, + "v1ContainerEnvironmentValueFromSecretKeyRef": { + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "Name of the secret contained in the scheduler namespace." + }, + "key": { + "type": "string", + "description": "Secret key." + } + }, + "description": "Container environment valueFrom using secret key reference." + }, + "v1ContainerPort": { + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "Name of the exposed port." + }, + "protocol": { + "type": "string", + "description": "Protocol used to expose the port (TCP, UDP, SCTP)." + }, + "port": { + "type": "integer", + "format": "int32", + "description": "Port number used." + }, + "hostPort": { + "type": "integer", + "format": "int32", + "description": "Optional container host port." + } + }, + "description": "Container exposed port definition." + }, + "v1ContainerResources": { + "type": "object", + "properties": { + "memory": { + "type": "string", + "description": "Container memory amount." + }, + "cpu": { + "type": "string", + "description": "Container cpu amount." + } + }, + "description": "Container resources (cpu/memory) (request and limits)." + }, + "v1CreateSchedulerRequest": { + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "Unique identifier for the scheduler." + }, + "game": { + "type": "string", + "description": "Game the new scheduler will be part of." + }, + "spec": { + "$ref": "#/definitions/v1Spec", + "description": "The spec object defines all the game room container configurations and spec of the scheduler." + }, + "portRange": { + "$ref": "#/definitions/v1PortRange", + "description": "The port range object describes what is the port range used to allocate game rooms." + }, + "maxSurge": { + "type": "string", + "title": "The max surge of new rooms, used to scale and update" + }, + "roomsReplicas": { + "type": "integer", + "format": "int32", + "description": "The rooms replicas defines the desired number of Game Rooms in a scheduler." + }, + "autoscaling": { + "$ref": "#/definitions/v1Autoscaling", + "title": "The autoscaling defines the autoscaling and its policy to be followed" + }, + "forwarders": { + "type": "array", + "items": { + "$ref": "#/definitions/v1Forwarder" + }, + "title": "List of Scheduler forwarders" + }, + "annotations": { + "type": "object", + "additionalProperties": { + "type": "string" + }, + "title": "Add annotations for scheduler" + } + }, + "description": "Scheduler is the struct that defines a maestro scheduler." + }, + "v1CreateSchedulerResponse": { + "type": "object", + "properties": { + "scheduler": { + "$ref": "#/definitions/v1Scheduler", + "description": "Scheduler that was created." + } + }, + "description": "Response for the create scheduler." + }, + "v1DeleteSchedulerResponse": { + "type": "object", + "properties": { + "operationId": { + "type": "string", + "description": "Delete scheduler operation ID." + } + }, + "title": "Delete scheduler payload" + }, + "v1ForwardPlayerEventResponse": { + "type": "object", + "properties": { + "success": { + "type": "boolean", + "title": "Flag indicating if the forward process was successful or not" + }, + "message": { + "type": "string", + "title": "Message from forwarding response (currently always blank)" + } + }, + "description": "The player event response." + }, + "v1ForwardRoomEventResponse": { + "type": "object", + "properties": { + "success": { + "type": "boolean", + "title": "Flag indicating if the forward process was successful or not" + }, + "message": { + "type": "string", + "title": "Message from forwarding response (currently always blank)" + } + }, + "description": "The room event response." + }, + "v1Forwarder": { + "type": "object", + "properties": { + "name": { + "type": "string", + "title": "Forwarder name used to identify it. Must be unique within the scheduler" + }, + "enable": { + "type": "boolean", + "title": "Defines if the forwarder is going to receive events or not" + }, + "type": { + "type": "string", + "title": "Forwarder type" + }, + "address": { + "type": "string", + "description": "Forwarder gRPC service address." + }, + "options": { + "$ref": "#/definitions/v1ForwarderOptions", + "title": "Forwarder Options" + } + }, + "description": "Forwarder definitions." + }, + "v1ForwarderOptions": { + "type": "object", + "properties": { + "timeout": { + "type": "string", + "format": "int64", + "description": "Timeout of a request in milliseconds." + }, + "metadata": { + "type": "object", + "title": "Additional information" + } + }, + "description": "Forwarder Options definitions." + }, + "v1GetOperationResponse": { + "type": "object", + "properties": { + "operation": { + "$ref": "#/definitions/apiv1Operation", + "description": "Operation requested." + } + }, + "title": "The get operation route response/reply" + }, + "v1GetRoomAddressResponse": { + "type": "object", + "properties": { + "ports": { + "type": "array", + "items": { + "$ref": "#/definitions/v1Port" + }, + "description": "List of game room ports." + }, + "host": { + "type": "string", + "description": "Game room host." + }, + "ipv6Label": { + "type": "string", + "description": "Game room ipv6_label, this field is deprecated and only exists for maestro v9 contract compatibility reasons." + } + }, + "description": "The get room address response." + }, + "v1GetSchedulerResponse": { + "type": "object", + "properties": { + "scheduler": { + "$ref": "#/definitions/v1Scheduler", + "description": "List of schedulers fetched." + } + }, + "description": "The list schedulers response message." + }, + "v1GetSchedulerVersionsResponse": { + "type": "object", + "properties": { + "versions": { + "type": "array", + "items": { + "$ref": "#/definitions/v1SchedulerVersion" + }, + "title": "List of versions for an scheduler" + } + }, + "title": "Get Scheduler Versions payload" + }, + "v1GetSchedulersInfoResponse": { + "type": "object", + "properties": { + "schedulers": { + "type": "array", + "items": { + "$ref": "#/definitions/v1SchedulerInfo" + }, + "description": "List of schedulers fetched." + } + }, + "title": "List Scheduler and Game Rooms Info Response" + }, + "v1Lease": { + "type": "object", + "properties": { + "ttl": { + "type": "string", + "description": "Lease time to live in RFC3999 format UTC. if the current time is greater than this value,\nthe lease is probably expired." + } + }, + "title": "The operation lease object representation" + }, + "v1ListOperationItem": { + "type": "object", + "properties": { + "id": { + "type": "string", + "description": "Unique identifier for the operation." + }, + "status": { + "type": "string", + "description": "Current status of the operation.\nTODO(gabrielcorado): change to enum." + }, + "definitionName": { + "type": "string", + "description": "Name of the operation being executed." + }, + "lease": { + "$ref": "#/definitions/v1Lease", + "description": "Operation lease. This is an optional field since not all operations have a lease." + }, + "schedulerName": { + "type": "string", + "description": "Scheduler identifier that the operation is from." + }, + "createdAt": { + "type": "string", + "format": "date-time", + "description": "Time the operation was created." + } + }, + "description": "The List Operation Item object representation." + }, + "v1ListOperationsResponse": { + "type": "object", + "properties": { + "page": { + "type": "integer", + "format": "int64", + "description": "Parameter for pagination." + }, + "pageSize": { + "type": "integer", + "format": "int64", + "description": "Optional parameter for pagination." + }, + "total": { + "type": "integer", + "format": "int64", + "description": "Optional parameter for total." + }, + "operations": { + "type": "array", + "items": { + "$ref": "#/definitions/v1ListOperationItem" + }, + "description": "List of the scheduler finished (with error or not) operations." + } + }, + "title": "The list operation route response/reply\nThere's a list for each operation major status" + }, + "v1ListSchedulersResponse": { + "type": "object", + "properties": { + "schedulers": { + "type": "array", + "items": { + "$ref": "#/definitions/v1SchedulerWithoutSpec" + }, + "description": "List of schedulers fetched." + } + }, + "description": "The list schedulers response message." + }, + "v1NewSchedulerVersionResponse": { + "type": "object", + "properties": { + "operationId": { + "type": "string", + "description": "Operation ID, further this id can be used to consult its state." + } + }, + "description": "Update schedule operation response payload." + }, + "v1OperationEvent": { + "type": "object", + "properties": { + "createdAt": { + "type": "string", + "format": "date-time", + "description": "DateTime is the time when the event occurred." + }, + "event": { + "type": "string", + "description": "Event describe what happened in this event." + } + }, + "description": "OperationEvent object represent an execution event." + }, + "v1OptionalAutoscaling": { + "type": "object", + "properties": { + "enabled": { + "type": "boolean", + "title": "Enable flag to autoscaling feature" + }, + "min": { + "type": "integer", + "format": "int32", + "title": "Min is the minimum number of game rooms that a scheduler should have" + }, + "max": { + "type": "integer", + "format": "int32", + "title": "Max is the maximum number of game rooms that a scheduler should have" + }, + "policy": { + "$ref": "#/definitions/v1AutoscalingPolicy", + "title": "Policy is the autoscaling policy that scheduler should follow" + } + }, + "title": "Autoscaling struct representation" + }, + "v1OptionalContainer": { + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "Name of the container." + }, + "image": { + "type": "string", + "description": "Image address." + }, + "imagePullPolicy": { + "type": "string", + "description": "Image pull policy: Always, Never and IfNotExists." + }, + "command": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Container command to be called when container is instantiated." + }, + "environment": { + "type": "array", + "items": { + "$ref": "#/definitions/v1ContainerEnvironment" + }, + "description": "Container environment variables." + }, + "requests": { + "$ref": "#/definitions/v1ContainerResources", + "description": "Container resources request (cpu/memory)." + }, + "limits": { + "$ref": "#/definitions/v1ContainerResources", + "description": "Container resources limits (cpu/memory)." + }, + "ports": { + "type": "array", + "items": { + "$ref": "#/definitions/v1ContainerPort" + }, + "description": "Container exposed ports definitions." + } + }, + "description": "OptionalContainer is the struct that defines a game room container configuration.\nThis message is used to patch container configuration." + }, + "v1OptionalSpec": { + "type": "object", + "properties": { + "terminationGracePeriod": { + "type": "string", + "description": "The game room termination grace period." + }, + "containers": { + "type": "array", + "items": { + "$ref": "#/definitions/v1OptionalContainer" + }, + "description": "The container object array defines all the game room container configurations." + }, + "toleration": { + "type": "string", + "description": "Runtime game room toleration configuration." + }, + "affinity": { + "type": "string", + "description": "Runtime game room affinity configuration." + } + }, + "description": "OptionalSpec is the specifications of the scheduler, with relevant info about what is being used.\nThis message is used to patch spec configuration." + }, + "v1PatchSchedulerResponse": { + "type": "object", + "properties": { + "operationId": { + "type": "string", + "description": "Operation ID, further this id can be used to consult its state." + } + }, + "description": "PatchSchedulerResponse have the operation response id that represents the operation creted to this change." + }, + "v1PolicyParameters": { + "type": "object", + "properties": { + "roomOccupancy": { + "$ref": "#/definitions/v1RoomOccupancy", + "title": "RoomOccupancy is the policy parameters to execute rooms occupancy policy" + } + }, + "title": "PolicyParameters object representation" + }, + "v1Port": { + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "Port name." + }, + "protocol": { + "type": "string", + "description": "Port protocol (tcp, udp)." + }, + "port": { + "type": "integer", + "format": "int32", + "description": "Port number." + } + }, + "description": "Port represents a game room port." + }, + "v1PortRange": { + "type": "object", + "properties": { + "start": { + "type": "integer", + "format": "int32", + "description": "Range start, it is inclusive." + }, + "end": { + "type": "integer", + "format": "int32", + "description": "Range end, it is exclusive." + } + }, + "description": "Port range is the range definition that the rooms will use. If a scheduler\ndefines its range as 0-1000 (start-end), it is guarantee that all rooms be\nwithin this range." + }, + "v1RoomOccupancy": { + "type": "object", + "properties": { + "readyTarget": { + "type": "number", + "format": "float", + "title": "ReadyTarget represents the number of rooms ready rate that the scheduler should keep" + } + }, + "title": "RoomOccupancy optional policy parameter" + }, + "v1Scheduler": { + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "Name is an unique identifier for the scheduler." + }, + "game": { + "type": "string", + "description": "Game is the \"scope\" where the scheduler will be placed. It is required, and\ngames name are unique." + }, + "state": { + "type": "string", + "description": "Current state of the scheduler." + }, + "portRange": { + "$ref": "#/definitions/v1PortRange", + "description": "Port range for the scheduler rooms." + }, + "createdAt": { + "type": "string", + "format": "date-time", + "description": "Time the scheduler was created." + }, + "maxSurge": { + "type": "string", + "title": "Max surge of rooms" + }, + "roomsReplicas": { + "type": "integer", + "format": "int32", + "title": "Rooms Replicas is the desired number of rooms" + }, + "spec": { + "$ref": "#/definitions/v1Spec", + "title": "GameRoom spec" + }, + "autoscaling": { + "$ref": "#/definitions/v1Autoscaling", + "title": "Autoscaling rules to the scheduler" + }, + "forwarders": { + "type": "array", + "items": { + "$ref": "#/definitions/v1Forwarder" + }, + "title": "List of Scheduler forwarders" + }, + "annotations": { + "type": "object", + "additionalProperties": { + "type": "string" + }, + "title": "List with annotations" + } + }, + "description": "Scheduler definition." + }, + "v1SchedulerInfo": { + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "Scheduler name." + }, + "game": { + "type": "string", + "description": "Scheduler game." + }, + "state": { + "type": "string", + "title": "Scheduler state" + }, + "roomsReplicas": { + "type": "integer", + "format": "int32", + "description": "Scheduler room replicas." + }, + "roomsReady": { + "type": "integer", + "format": "int32", + "description": "Number of game rooms in Ready state." + }, + "roomsOccupied": { + "type": "integer", + "format": "int32", + "description": "Number of game rooms in Occupied state." + }, + "roomsPending": { + "type": "integer", + "format": "int32", + "description": "Number of game rooms in Pending state." + }, + "roomsTerminating": { + "type": "integer", + "format": "int32", + "description": "Number of game rooms in Terminating state." + }, + "autoscaling": { + "$ref": "#/definitions/v1AutoscalingInfo", + "title": "Autoscaling info (min, max, enabled)" + } + }, + "title": "Scheduler Info" + }, + "v1SchedulerVersion": { + "type": "object", + "properties": { + "version": { + "type": "string", + "title": "Specific version" + }, + "isActive": { + "type": "boolean", + "title": "Flag indicating if the version is active or not" + }, + "createdAt": { + "type": "string", + "format": "date-time", + "title": "Specifies when the version has been created" + } + }, + "title": "Represents the version of a Scheduler" + }, + "v1SchedulerWithoutSpec": { + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "Name is an unique identifier for the scheduler." + }, + "game": { + "type": "string", + "description": "Game is the \"scope\" where the scheduler will be placed. It is required, and\ngames name are unique." + }, + "state": { + "type": "string", + "description": "Current state of the scheduler." + }, + "version": { + "type": "string", + "description": "Scheduler current version." + }, + "portRange": { + "$ref": "#/definitions/v1PortRange", + "description": "Port range for the scheduler rooms." + }, + "createdAt": { + "type": "string", + "format": "date-time", + "description": "Time the scheduler was created." + }, + "maxSurge": { + "type": "string", + "title": "Max surge of rooms" + }, + "roomsReplicas": { + "type": "integer", + "format": "int32", + "description": "Rooms Replicas is the desired number that a Scheduler maintains." + } + }, + "title": "Scheduler message used in the \"ListScheduler version\" definition. The \"spec\" is not implemented\non this message since it's unnecessary for the list function" + }, + "v1Spec": { + "type": "object", + "properties": { + "version": { + "type": "string", + "title": "GameRoom.spec version" + }, + "terminationGracePeriod": { + "type": "string", + "description": "The game room termination grace period." + }, + "containers": { + "type": "array", + "items": { + "$ref": "#/definitions/v1Container" + }, + "description": "The container object array defines all the game room container configurations." + }, + "toleration": { + "type": "string", + "description": "Runtime game room toleration configuration." + }, + "affinity": { + "type": "string", + "description": "Runtime game room affinity configuration." + } + }, + "description": "Spec is the specifications of the scheduler, with relevant info about what is being used." + }, + "v1SwitchActiveVersionResponse": { + "type": "object", + "properties": { + "operationId": { + "type": "string", + "title": "Operation Id generated" + } + }, + "title": "Switch Active Version Response" + }, + "v1UpdateRoomStatusResponse": { + "type": "object", + "properties": { + "success": { + "type": "boolean", + "title": "Flag indicating if the status update process was successful or not" + } + }, + "description": "The player event response." + }, + "v1UpdateRoomWithPingResponse": { + "type": "object", + "properties": { + "success": { + "type": "boolean", + "description": "Indicates if the ping update succeeded or not." + } + }, + "description": "The ping response." + } + } +} diff --git a/reference/index.html b/reference/index.html new file mode 100644 index 000000000..5829d5da6 --- /dev/null +++ b/reference/index.html @@ -0,0 +1,489 @@ + + + + + + + + + + + + + + + + + + Reference - Maestro + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    Maestro is a game room orchestration system, which can be used by multiplayer games to manage the scalability of its game rooms (Aka game servers). Ideally, Maestro should be used by games that implement dedicated game server (dgs) architecture. Each game room is a dedicated game server that runs in a match execution context, a group of game rooms is organized in a Scheduler. Each time that a user requires some change in the Scheduler or game room, Maestro creates an Operation that is a change unit that will be enqueued and handled sequentially by a proper worker related exclusively to its respective Scheduler, in other words, each Scheduler has a worker that sequentially handles Operations that is created to it.

    A Scheduler defines the requirements of a game room as to how much memory and CPU it will need to execute and other information.

    Each Operation has its own properties to be executed.

    Maestro has five components: Management API, Game Rooms API, Execution Worker, Runtime Watcher and Metrics Reporter. They all deliver together the Maestro features that will be described in the next sections.

    "},{"location":"#features-components","title":"Features & Components","text":"

    Maestro is composed by:

    • Management API: this is the component that the users will use to create your requests to interact with Maestro. For example: create a Scheduler, get Scheduler information, etc.
    • Execution Worker: have an execution component to handle Operations to each Scheduler. For example: three Schedulers will have each one an execution component.
    • Game Rooms API: game rooms API exposes an HTTP API or a GRPc service to receive game rooms messages that symbolize their respective status. For example: when a game room is ready to receive matches it will send a message informing that.
    • Runtime Watcher: is a component in Maestro that listen to Runtime events and reflect them in Maestro. For example: when a game room was created it is notified that this event happened.
    • Metrics Reporter: time spaced this component query the Runtime for metrics related to rooms and expose them in an open metrics route. For example: how many occupied rooms and ready rooms are up.
    "},{"location":"reference/","title":"Reference","text":"

    The reference documentation are available for this module:

    • Maestro Architecture

    • Open API

    • Schedulers

    • Operations

    "},{"location":"tutorials/","title":"Tutorials","text":"

    The following tutorials are available for this module:

    • Getting Started Guide

    • Configuring Scheduler Autoscaling

    • Configuring Events Forwarding

    • Development

    "},{"location":"how-to-guides/Guidelines/","title":"Guidelines","text":""},{"location":"how-to-guides/Guidelines/#assumptions-dos-donts","title":"Assumptions, Dos & Don'ts","text":"

    Describe common assumptions, or actions that you want your users to avoid. If there are multiple ways to solve problems using your application, you can document here the best options you have identified.

    "},{"location":"how-to-guides/Guidelines/#lessons-learned-best-practices","title":"Lessons Learned & Best Practices","text":"

    You can fill this section with best practices and enrich it as you learn better practices for the use of your application.

    "},{"location":"how-to-guides/User%20Guides/","title":"UserGuides","text":""},{"location":"how-to-guides/User%20Guides/#features-components","title":"Features & Components","text":"

    Short list of the components, features or elements that the user needs to know to make the best of your application. On this section, you can include any guides and how tos that involve interaction with the UI in RING.

    "},{"location":"how-to-guides/User%20Guides/#navigation-how-to-guides","title":"Navigation & How To Guides","text":"

    Describe any menus and buttons in the user interface not covered in the previous section Include how users can interact with the features on your interface to get the desired results.

    "},{"location":"how-to-guides/User%20Guides/#troubleshooting","title":"Troubleshooting","text":"

    Document here any known errors, workarounds for bugs, troubleshooting details, and tips and tricks to avoid common mistakes.

    "},{"location":"reference/Architecture/","title":"Architecture","text":"

    Maestro Next is a composition of different modules. Internally they are all part of the same code base but could be executed by giving the right arguments to the command line (or to your docker container entry point). E.g. go run main.go start [MODULE_NAME]

    Maestro is composed of Management API, Rooms API, Operation Execution Worker, Runtime Watcher Worker, and Metrics Reporter Worker.

    Each module has its responsibilities and is divided apart in a way to avoid mixing the execution process. Each module was thought to avoid parallel problems and to give the client more visibility about which Operations are being executed and their respective status.

    "},{"location":"reference/Architecture/#maestro-modules","title":"Maestro modules","text":"

    Note: Maestro currently only supports Kubernetes as Game Rooms runtime system. So Workers interact with them.

    "},{"location":"reference/Architecture/#management-api","title":"Management API","text":"

    Management API is the module responsible for receiving user requests. It accepts gRPC and HTTP requests and provides several kinds of routes that are aggregated in two services: schedulers service and operations service.

    The schedulers service exposes features for managing schedulers, like creating a new scheduler, fetching its information, or updating them. The operations service exposes features for tracking operations and changing their status, like listing operations by status or canceling them.

    Management API relies on Redis for retrieving operations and game rooms, and on Postgres for retrieving and persisting schedulers.

    "},{"location":"reference/Architecture/#rooms-api","title":"Rooms API","text":"

    Rooms API is the module that provides an API that must be used by game rooms to sync their status with Maestro. To maestro work properly, it needs to be constantly informed about the status of each game room it manages. Also, if there are forwarders configured for the scheduler, those events are forwarded from Maestro at this module.

    Note: The requests that Maestro forwards in the Rooms API are documented in this proto file. Note: Maestro client could be used to ease the integration of the Game Room with Maestro.

    "},{"location":"reference/Architecture/#operation-execution-worker","title":"Operation Execution Worker","text":"

    Note: In Maestro a worker is a collection of routines that executes a flow related to one and only one Scheduler each.

    Operation Execution Worker is a process that constantly keeps ensuring each active Scheduler will have a thread (execution worker) that executes operations enqueued in the related Scheduler operation queue. So in this way became possible to track the events that happened and change a certain Scheduler in a healthier way.

    You could find all operations at Operations section

    "},{"location":"reference/Architecture/#runtime-watcher-worker","title":"Runtime Watcher Worker","text":"

    Note: In Maestro a worker is a collection of routines that executes a flow related to one and only one Scheduler each.

    Runtime Watcher Worker listens to runtime events related to the Scheduler and reflects the changes in Maestro. Currently, it listens for Game Rooms creation, deletion, and update.

    "},{"location":"reference/Architecture/#metrics-reporter-worker","title":"Metrics Reporter Worker","text":"

    Note: In Maestro a worker is a collection of routines that executes a flow related to one and only one Scheduler each.

    From time to time Metrics Reporter Worker watch runtime to report metrics from them, such as the number of game rooms instances that are ready, pending, error, unknown, or terminating status. As well it watches from Game Rooms storage its status that could be ready, pending, error, occupied, terminating, or unready.

    This module is optional since you don't need it for any specific functionalities of the application.

    "},{"location":"reference/Kubernetes/","title":"Kubernetes Usage","text":""},{"location":"reference/Kubernetes/#kubernetes-usage","title":"Kubernetes usage","text":"

    Maestro uses kubernetes for orchestrating game room instances. It uses a unique namespace for each scheduler, and a unique pod for each game room instance.

    We use client-go for communicating with kubernetes. The Runtime port is the interface used for managing resources, you can find all of the features we are using for managing k8s resources in it.

    The diagram below shows how maestro components interact with kubernetes for managing resources.

    flowchart BT\n  classDef borderless stroke-width:0px\n  classDef darkBlue fill:#00008B, color:#fff\n  classDef brightBlue fill:#6082B6, color:#fff\n  classDef gray fill:#62524F, color:#fff\n  classDef gray2 fill:#4F625B, color:#fff\n  subgraph maestroSystem[ ]\n      subgraph k8s[ ]\n          A3[Kubernetes]\n      end\n      class k8s,A3 brightBlue\n      class A3, borderless\n      subgraph WORKER[ ]\n          A7[Operation Execution Worker<br/><br/>manage kubernetes resources by creating/deleting/updating pods abnd namespaces]\n      end\n      class WORKER,A7 brightBlue\n      class WORKER,A7 borderless\n      WORKER--Create namespace<br/>HTTPS-->k8s\n      WORKER--Delete namespace<br/>HTTPS-->k8s\n      WORKER--Create pod<br/>HTTPS-->k8s\n      WORKER--Delete pod<br/>HTTPS-->k8s\n      subgraph RUNTIME_WATCHER[ ]\n          A8[Runtime Watcher <br/><br/> watch for change events in managed pods]\n      end\n      class RUNTIME_WATCHER,A8 brightBlue\n      class RUNTIME_WATCHER,A8 borderless\n      RUNTIME_WATCHER--List/Watch pods<br/>HTTPS-->k8s\n  end\n  click A3 \"/csymapp/mermaid-c4-model/blob/master/AWAComponent.md\" \"AWA\"\n
    "},{"location":"reference/Kubernetes/#runtime-watcher","title":"Runtime watcher","text":"

    The runtime watcher component maintains a worker process for each scheduler that keeps watching and processing change events in pods resources. For doing that, it uses a pods informer, binding handlers for add, update and delete events for all pods managed by it.

    This component is not responsible for updating/creating/deleting kubernetes resources, all it does is to watch for changes and update its game room instances internal representation using redis.

    "},{"location":"reference/Kubernetes/#operation-execution-worker","title":"Operation execution worker","text":"

    The worker uses kubernetes for managing pods and namespaces. It executes several operations that, alongside other side effects, will need to create, update, and delete namespaces and pods.

    Currently, maestro does not check for HostPort conflict while creating new rooms

    One important note regarding how maestro creates pods: each new requested game room instance will be assigned to a pseudo-random port to be used as HostPort.

    Maestro uses the scheduler PortRange to generate the pseudo-random port. Currently, maestro does not check for HostPort conflict while creating new rooms. The final address of the game room will be composed of the Node address and the game room container assigned HostPort. That's the reason why maestro needs access for reading the Node addresses.

    "},{"location":"reference/Kubernetes/#configuring-cluster-access","title":"Configuring cluster access","text":"

    Maestro needs the following permissions for managing resources in a kubernetes cluster: - nodes: read (we need to use the node address to compose the game room address); - pods: read, create, update, delete; - namespace: read, create, update, delete.

    Maestro provides two ways for configuring kubernetes cluster access.

    "},{"location":"reference/Kubernetes/#using-incluster-mode","title":"Using inCluster mode","text":"

    Set adapters.runtime.kubernetes.inCluster config value to true or use its env var equivalent, the kubernetes client will be configured automatically using the same service account of the maestro component running pod.

    This mode is recommended to be used when running maestro components in the same cluster in which the schedulers and rooms will be managed.

    "},{"location":"reference/Kubernetes/#using-kubeconfig-mode","title":"Using kubeconfig mode","text":"

    Populate adapters.runtime.kubernetes.kubeconfig and adapters.runtime.kubernetes.masterUrl configs or use its env var equivalent, the kubernetes client will be configured using the provided kubeconfig file and master url.

    "},{"location":"reference/OpenAPI/","title":"OpenAPI","text":""},{"location":"reference/Operations/","title":"Operations","text":""},{"location":"reference/Operations/#what-is","title":"What is","text":"

    Operation is a core concept at Maestro, and it represents executions done in multiple layers of Maestro, a state update, or a configuration change. Operations can be created by user actions while managing schedulers (e.g. consuming management API), or internally by Maestro to fulfill internal states requirements

    Operations are heavily inspired by the Command Design Pattern

    "},{"location":"reference/Operations/#definition-and-executors","title":"Definition and executors","text":"

    Maestro will have multiple operations, and those will be set using pairs of definitions and executors. An operation definition consists of the operation parameters. An operation executor is where the actual operation execution and rollback logic is implemented, and it will receive as input its correlated definition. So, for example, the CreateSchedulerExecutor will always receive a CreateSchedulerDefinition.

    flowchart TD\n  subgraph operations [Operations]\n    subgraph operation_implementation [Operation Impl.]\n      definition(Definition)\n      executor(Executor)\n    end\n    subgraph operation_implementation2 [Operation Impl.]\n      definition2(Definition)\n      executor2(Executor)\n    end\n    subgraph operation_implementation3 [Operation Impl.]\n      definition3(Definition)\n      executor3(Executor)\n    end\n    ...\n  end\n
    "},{"location":"reference/Operations/#operation-structure","title":"Operation Structure","text":"
    • id: Unique operation identification. Auto-Generated;
    • status: Operations status. For reference, see here.
    • definitionName: Name of the operation. For reference, see here.
    • schedulerName: Name of the scheduler which this operation affects.
    • createdAt: Timestamp representing when the operation was enqueued.
    • input: Contains the input value for this operation. Each operation has its own input format. For details, see below.
    • executionHistory: Contains logs with detailed info about the operation execution. See below.
    id: String\nstatus: String\ndefinitionName: String\nschedulerName: String\ncreatedAt: Timestamp\ninput: Any\nexecutionHistory: ExecutionHistory\n
    "},{"location":"reference/Operations/#input","title":"Input","text":"
    • Create Scheduler
    scheduler: Scheduler\n
    • Create New Scheduler Version
    scheduler: Scheduler\n
    • Switch Scheduler Version
    newActiveVersion: Scheduler\n
    • Add Rooms
    amount: Integer\n
    • Remove Rooms
    amount: Integer\n
    "},{"location":"reference/Operations/#execution-history","title":"Execution History","text":"
    createdAt: timestamp\nevent: String\n
    • createdAt: When did the event happened.
    • event: What happened. E.g. \"Operation failed because...\".
    "},{"location":"reference/Operations/#how-does-maestro-handle-operations","title":"How does Maestro handle operations","text":"
    • Each scheduler has 1 operation execution (no operations running in parallel for a scheduler).
    • Every operation execution has 1 queue for pending operations.
    • When the worker is ready to work on a new operation, it'll pop from the queue.
    • The operation is executed by the worker following the lifecycle described here.
    "},{"location":"reference/Operations/#state","title":"State","text":"

    An operation can have one of the Status below:

    • Pending: When an operation is enqueued to be executed;

    • Evicted: When an operation is unknown or should not be executed By Maestro;

    • In Progress: Operation is currently being executed;

    • Finished: Operation finished; Execution succeeded;

    • Error: Operation finished. Execution failed;

    • Canceled: Operation was canceled by the user.

    "},{"location":"reference/Operations/#state-machine","title":"State Machine","text":"
    flowchart TD\n  pending(Pending)\n  in_progress(In Progress)\n  evicted(Evicted)\n  finished(Finished)\n  canceled(Canceled)\n  error(Error)\n\n  pending --> in_progress;\n  pending --> evicted;\n  in_progress --> finished;\n  in_progress --> error;\n  in_progress --> canceled;\n
    "},{"location":"reference/Operations/#lifecycle","title":"Lifecycle","text":"
    flowchart TD\n  finish((End))\n  created(\"Created (Pending)\")\n  evicted(Evicted)\n  error(Error)\n  finished(Finished)\n  canceled(Canceled)\n  should_execute{Should Execute?}\n  execution_succeeded{Success?}\n  err_kind{Error Kind}\n  execute[[Execute]]\n  rollback[[Rollback]]\n  canceled_by_user>Canceled By User]\n  created --> should_execute;\n  should_execute -- No --> evicted --> finish;\n  should_execute -- Yes --> execute;\n  execute --> execution_succeeded;\n  execute --> canceled_by_user --> rollback;\n  execution_succeeded -- Yes --> finished --> finish;\n  execution_succeeded -- No --> rollback;\n  rollback --> err_kind;\n  err_kind -- Canceled --> canceled --> finish;\n  err_kind -- Error --> error --> finish\n
    "},{"location":"reference/Operations/#lease","title":"Lease","text":""},{"location":"reference/Operations/#what-is-the-operation-lease","title":"What is the operation lease","text":"

    Lease is a mechanism to track the operations' execution process and check if we can rely on the current/future operation state.

    "},{"location":"reference/Operations/#why-operations-have-it","title":"Why Operations have it","text":"

    Sometimes, an operation might get stuck. It could happen, for example, if the worker crashes during the execution of an operation. To keep track of operations, we assign each operation a Lease. This Lease has a TTL (time to live).

    When the operation is being executed, this TTL is renewed each time the lease is about to expire while the operation is still in progress. It'll be revoked once the operation is finished.

    "},{"location":"reference/Operations/#troubleshooting","title":"Troubleshooting","text":"

    If an operation is fetched and the TTL expired (the TTL is in the past), the operation probably got stuck, and we can't rely upon its current state, nor guarantee the required side effects of the execution or rollback have succeeded.

    If an operation does not have a Lease, it either did not start at all (should be on the queue) or is already finished. An Active Operation without a Lease is at an invalid state.

    Maestro do not have a self-healing routine yet for expired operations.

    "},{"location":"reference/Operations/#operation-lease-lifecycle","title":"Operation Lease Lifecycle","text":"
    flowchart TD\n  finish_routine((End))\n  start_routine((Start))\n  finish((End))\n\n  operation_finished{Op. Finished?}\n\n  to_execute[Operation to Execute]\n\n  grant_lease[[Grant Lease]]\n  renew_lease[[Renew Lease]]\n  revoke_lease[[Revoke Lease]]\n\n  wait_for_ttl(Wait for TTL)\n  execute(Execute Operation)\n\n  to_execute --> grant_lease;\n  grant_lease --> renew_lease_routine;\n  grant_lease --> execute;\n  subgraph renew_lease_routine [ASYNC Renew Lease Routine]\n      start_routine --> wait_for_ttl;\n      wait_for_ttl --> operation_finished;\n      operation_finished -- Yes --> revoke_lease;\n      operation_finished -- No --> renew_lease --> wait_for_ttl;\n      revoke_lease --> finish_routine;\n  end\n  renew_lease_routine --> finish;\n
    "},{"location":"reference/Operations/#available-operations","title":"Available Operations","text":"

    For more details on how to use Maestro API, see this section.

    "},{"location":"reference/Operations/#create-scheduler","title":"Create Scheduler","text":"
    • Accessed through the POST /schedulers endpoint.
    • Creates the scheduler structure for receiving rooms;
    • The scheduler structure is validated, but the game room is not;
    • If operation fails, rollback feature will delete anything created related to scheduler.
    "},{"location":"reference/Operations/#create-new-scheduler-version","title":"Create New Scheduler Version","text":"
    • Accessed through the POST /schedulers/:schedulerName endpoint.
    • Creates a validation room (deleted right after). If Maestro cannot receive pings (not forwarded) from validation game room, operation fails;
    • When this operation finishes successfully, it enqueues the \"Switch Active Version\".
    • If operation fails rollback routine deletes anything (except for the operation) created related to new version.
    "},{"location":"reference/Operations/#switch-active-version","title":"Switch Active Version","text":"
    • Accessed through PUT /schedulers/:schedulerName endpoint.
    • If it's a major change (anything under Scheduler.Spec changed), GRUs are replaced using scheduler maxSurge property;
    • If it's a minor change (Scheduler.Spec haven't changed), GRUs are not replaced;
    "},{"location":"reference/Operations/#add-rooms","title":"Add Rooms","text":"
    • Accessed through POST /schedulers/:schedulerName/add-rooms endpoint.
    • If any room fail on creating, the operation fails and created rooms are deleted on rollback feature;
    "},{"location":"reference/Operations/#remove-rooms","title":"Remove Rooms","text":"
    • Accessed through POST /schedulers/:schedulerName/remove-rooms endpoint.
    • Remove rooms based on amount;
    • Rollback routine does nothing.
    "},{"location":"reference/Scheduler/","title":"Scheduler","text":""},{"location":"reference/Scheduler/#what-is","title":"What is","text":"

    Objectively, a Scheduler is a recipe, and contains all the information for creating game rooms and forwarding rooms information to other services.

    Also, it's the core entity for operating game rooms in Maestro, since all game rooms are related to a specific scheduler.

    A game can have multiple schedulers, and each scheduler can have multiple game rooms up and running.

    flowchart TD\n  etc1(\"...\")\n  etc2(\"...\")\n  etc3(\"...\")\n\n  subgraph game [Game]\n    subgraph scheduler_1 [Scheduler 1]\n      gameRoom1(\"Game Room (host:port)\")\n      gameRoom2(\"Game Room (host:port)\")\n      etc1\n    end\n    subgraph scheduler_2 [Scheduler 2]\n      gameRoom3(\"Game Room (host:port)\")\n      gameRoom4(\"Game Room (host:port)\")\n      etc2\n    end\n    etc3\n  end\n
    "},{"location":"reference/Scheduler/#how-to-operate","title":"How to Operate","text":"

    To directly interact with a Scheduler, the user enqueues operations using the management API.

    These operations are responsible for creating a scheduler or newer versions, switching an active version, adding/removing rooms, etc.

    Because of that, everything that happens for a Scheduler can be tracked based on history of the operations executed for that scheduler and the order they were executed.

    "},{"location":"reference/Scheduler/#versions","title":"Versions","text":"

    A Scheduler have versions, and each time we want to change scheduler properties, we end-up creating a new version to it.

    Versions are directly calculated by Maestro, not sent by the client.

    The client can only switch the active version based on the versions created by Maestro. To switch to an specific version, see this.

    This version can either be a Minor or a Major change.

    • Major version: Replace the game rooms in a switch active version event.
    • Basically, any change under spec, that are related to the game room directly.
    • Minor version: Don't replace game rooms in a switch active version event.
    • Info such as MaxSurge or forwarders, that do not impact the game rooms.
    "},{"location":"reference/Scheduler/#example","title":"Example","text":"

    A complete Scheduler looks like this:

    YAML 
    \nname: scheduler-test\ngame: game-test\nstate: creating\nportRange:\n  start: 40000\n  end: 60000\nmaxSurge: 30%\nspec:\n  terminationGracePeriod: '100'\n  containers:\n    - name: alpine\n      image: alpine\n      imagePullPolicy: IfNotPresent\n      command:\n        - /bin/sh\n        - '-c'\n        - >-\n          apk add curl && while true; do curl --request POST\n          {{maestro-rooms-api}}/scheduler/$MAESTRO_SCHEDULER_NAME/rooms/$MAESTRO_ROOM_ID/ping\n          --data-raw '{\"status\": \"ready\",\"timestamp\": \"12312312313\"}' && sleep\n          1; done\n      environment:\n        - name: env-var-name\n          value: env-var-value\n        - name: env-var-field-ref\n          valueFrom:\n            fieldRef:\n              fieldPath: path\n        - name: secret-var-name\n          valueFrom:\n            secretKeyRef:\n              name: secret-name\n              key: secret-key\n      requests:\n        memory: 20Mi\n        cpu: 100m\n      limits:\n        memory: 200Mi\n        cpu: 200m\n      ports:\n        - name: port-name\n          protocol: tcp\n          port: 12345\n  toleration: maestro\n  affinity: maestro-dedicated\nforwarders:\n  - name: test\n    enable: true\n    type: gRPC\n    address: {{host}}\n    options:\n      timeout: '1000'\n      metadata: {}\nautoscaling:\n  enabled: true\n  min: 1\n  max: 10\n  policy:\n    type: roomOccupancy\n    parameters:\n      ...\n      // Will vary according to the policy type.\n
    JSON 
    \n{\n    \"name\": \"scheduler-test\",\n    \"game\": \"game-test\",\n    \"portRange\": {\n        \"start\": 40000,\n        \"end\": 60000\n    },\n    \"annotations\":{\n      \"imageregistry\":\"https://dockerhub.com/\"    \n    },\n    \"maxSurge\": \"30%\",\n    \"spec\": {\n        \"terminationGracePeriod\": '100',\n        \"containers\": [\n            {\n                \"name\": \"alpine\",\n                \"image\": \"alpine\",\n                \"imagePullPolicy\": \"IfNotPresent\",\n                \"command\": [\n                    \"/bin/sh\",\n                    \"-c\",\n                    \"apk add curl && while true; do curl --request POST {{maestro-rooms-api}}/scheduler/$MAESTRO_SCHEDULER_NAME/rooms/$MAESTRO_ROOM_ID/ping --data-raw '{\"status\": \"ready\",\"timestamp\": \"12312312313\"}' && sleep 1; done\"\n                ],\n                \"environment\": [\n                    {\n                        \"name\": \"env-var-name\",\n                        \"value\": env-var-value\n                    },\n                    {\n                        \"name\": \"env-var-field-ref\",\n                        \"valueFrom\": {\n                            \"fieldRef\": {\n                                \"fieldPath\": \"path\"\n                            }\n                        }\n                    },\n                    {\n                        \"name\": \"secret-var-name\",\n                        \"valueFrom\": {\n                            \"secretKeyRef\": {\n                                \"name\": \"secret-name\",\n                                \"key\": \"secret-key\"\n                            }\n                        }\n                    }\n                ],\n                \"requests\": {\n                    \"memory\": \"20Mi\",\n                    \"cpu\": \"100m\"\n                },\n                \"limits\": {\n                    \"memory\": \"200Mi\",\n                    \"cpu\": \"200m\"\n                },\n                \"ports\": [\n                    {\n                        \"name\": \"port-name\",\n                        \"protocol\": \"tcp\",\n                        \"port\": 12345,\n                    }\n                ]\n            }\n        ],\n        \"toleration\": \"maestro\",\n        \"affinity\": \"maestro-dedicated\"\n    },\n    \"forwarders\": [\n        {\n            \"name\": \"test\",\n            \"enable\": true,\n            \"type\": \"gRPC\",\n            \"address\": \"{{host}}\",\n            \"options\": {\n                \"timeout\": '1000',\n                \"metadata\": {}\n            }\n        }\n    ]\n    \"autoscaling\": {\n      \"enabled\": true,\n      \"min\": 10,\n      \"max\": 300,\n      \"policy\": {\n        \"type\": \"roomOccupancy\",\n        \"parameters\": {\n          ...\n          // Will vary according to the policy type.\n        }\n      }\n    }\n}\n
    "},{"location":"reference/Scheduler/#structure","title":"Structure","text":"

    The scheduler is represented as:

    name: String\ngame: String\ncreatedAt: Timestamp\nmaxSurge: String | Integer\nportRange: PortRange\nforwarders: Forwarders\nautoscaling: Autoscaling\nspec: Spec\nannotation: Map\n
    • Name: Scheduler name. This name is unique and will be the same name used for the kubernetes namespace. It's offered by the user in the creation and cannot be changed in the future. It's used as an ID for the scheduler;
    • game: Name of the game which will use the scheduler. The game is important since it's common to use multiple schedulers for a specific game. So you probably will want to fetch all the schedulers from a game;
    • createdAt: Info about the scheduler creation time. Cannot be altered by the user;
    • maxSurge: Value represented in percentage (%) or Integer. Offered by the user on the scheduler creation. Can be altered anytime. Used by Maestro to replace pods. Ex: If maxSurge = 3, the Switch Active Version (Major change) operation will replace pods from 3 to 3;
    • portRange: Range of ports that can be used by Maestro to create GRUs for the specified scheduler. Can be altered by the user anytime. More info here;
    • forwarders: Maestro can pass ahead info sent by the game rooms, such as Ping (Ready, Occupied, Terminating...), player and rooms events. The receivers can be configured here. More info here;
    • autoscaling: Optional autoscaling policy configuration. More info here;
    • spec: Specifications about the game rooms managed by the scheduler, such as containers and environment variables used by them, limits and images. More info here.
    • annotations: Allows annotations for the scheduler's game room. Know more about annotations on Kubernetes here
    "},{"location":"reference/Scheduler/#portrange","title":"PortRange","text":"

    The PortRange is used to select a random port for a GRU between start and end.

    • PortRange cannot be null or empty

    Check if the ports offered are available and can be used. A firewall rule, for example, can affect the connection to the Game Room in the specific port.

    It is represented as:

    start: Integer\nend: Integer\n
    "},{"location":"reference/Scheduler/#forwarders","title":"Forwarders","text":"

    Forwarders are configured to pass ahead info offered by the game rooms to Maestro. More than one forwarder can be configured for a scheduler.

    • Can be an empty list.

    It is represented as:

    - name: String\n  enable: Bool\n  type: String\n  address: String\n  options:\n    timeout: Integer\n    metadata: Object\n
    • name: Name of the forwarder. Used only for reference (visibility and recognition);
    • enable: Toggle to easily enable/disable the forwarder;
    • type: Type of the forwarder. Right now, only accepts gRPC;
    • address: Address used by the scheduler to forward events. E.g. 'api.example.com:8080';
    • options: Optional parameters.
      • timeout: Timeout value for an event to successfully be forwarded;
      • metadata: Object that can contain any useful information for the game team. Will be forwarded with the events from Maestro.
    "},{"location":"reference/Scheduler/#spec","title":"Spec","text":"

    Contains vital information about the game rooms. Be aware that the spec is the most related aspect of the scheduler interacting with the runtime. It might be important to understand the basics of kubernetes before deep diving into the Maestro scheduler itself.

    • Cannot be empty or null.

    It is represented as:

    terminationGracePeriod: Integer\ncontainers: Containers\ntoleration: String\naffinity: String\n
    • terminationGracePeriod: Required integer value. Must be greater than 0. When a game room receives the signal to be deleted, it will take this value (in milliseconds) to be completely deleted;
    • containers: Contain the information about the game room, such as the image and environment variables. This is a list since the game room can be compounded by more than two containers;
    • toleration: Kubernetes specific. Represents the toleration value for all GRUs on the scheduler. See more;
    • affinity: Kubernetes specific. Represents the affinity value for all GRUs on the scheduler. See more.
    "},{"location":"reference/Scheduler/#containers","title":"Containers","text":"

    Contain the information about the game room, such as the image and environment variables.

    • Cannot be an empty list.

    It is represented as:

    - name: String\n  image: String\n  imagePullPolicy: String\n  command: Array<String>\n  environment: EnvironemntVariables\n  requests:\n    memory: String\n    cpu: String\n  limits:\n    memory: String\n    cpu: String\n  ports: Ports\n
    • name: Name of the container, used only for reference and can be changed by the user anytime.
    • image: Docker image to be used for the container. Represented as a link.
    • imagePullPolicy: Kubernetes specific. See here for reference.
    • command: List of commands that should be executed by the image on execution. E.g. here.
    • environment: List of environment variables. See here.
    • requests and limits: Kubernetes specific. See here.
    • ports: The list of ports your game server exposes. See here.
    "},{"location":"reference/Scheduler/#environment-variables","title":"Environment Variables","text":"

    List of environment variables used by the GRU.

    • Can be an empty list.

    There are, now, 3 supported formats by Maestro:

    • Simple name-value format.
    With Name/Value 
    \n- name: String\n  value: String
    • Exposing pod fields (kubernetes specific). See here.
    With FieldRef/FieldPath 
    \n- name: String\n  valueFrom:\n    fieldRef:\n      fieldPath: String
    • Secrets as environment variables (kubernetes specific). See here.
    With Secret 
    \n- name: String\n  valueFrom:\n    secretKeyRef:\n      name: String\n      key: String
    "},{"location":"reference/Scheduler/#ports","title":"Ports","text":"

    The list of ports your game server exposes.

    • Can be an empty list.

    It is represented as:

    - name: String\n  protocol: String\n  port: Integer\n
    • name: Name of the port. Facilitates on recognition;
    • protocol: Port protocol. Can be UDP, TCP or SCTP.;
    • port: The port exposed.
    "},{"location":"tutorials/Autoscaling/","title":"Autoscaling","text":""},{"location":"tutorials/Autoscaling/#configuring-scheduler-autoscaling","title":"Configuring Scheduler Autoscaling","text":""},{"location":"tutorials/Autoscaling/#prerequisites","title":"Prerequisites","text":"
    • Have a game room container image that communicates with maestro through Maestro's rooms API
    "},{"location":"tutorials/Autoscaling/#learning-outcomes","title":"Learning Outcomes","text":"

    After finishing this tutorial you will understand how:

    • to configure autoscaling policies for your scheduler
    "},{"location":"tutorials/Autoscaling/#what-is","title":"What is","text":"

    Autoscaling is an optional feature in which the user can choose and parametrize different autoscaling policies that maestro will use to automatically scale the number of rooms in the scheduler.

    Maestro has an internal process that periodically keeps checking if it needs to create or delete game rooms for the given scheduler, if autoscaling is not configured or enabled, it will always try to maintain the current number of rooms equal to roomsReplicas scheduler property. If autoscaling is configured and enabled, it will use the configured autoscaling policy to decide if it needs to scale up (create more rooms), scale down (delete rooms) or do nothing.

      flowchart TD\n    finish((End))\n    add_rooms_operation(Enqueue add rooms operation)\n    remove_rooms_operation(Enqueue remove rooms)\n    use_rooms_replicas(Use rooms replicas to calculate the desired number of rooms)\n    autoscaling_enabled{Autoscaling configured and enabled?}\n    decide_operation{Compare current number of rooms with the desired amount.}\n    use_autoscaling[Use Autoscaling policy to calculate the desired number of rooms coerced in min-max range]\n    autoscaling_enabled -- No --> use_rooms_replicas;\n    autoscaling_enabled -- Yes --> use_autoscaling;\n    use_autoscaling --> decide_operation;\n    use_rooms_replicas --> decide_operation;\n    decide_operation --  desired > actual --> add_rooms_operation --> finish;\n    decide_operation --  desired == actual --> finish;\n    decide_operation --  desired < actual --> remove_rooms_operation --> finish;\n

    Currently, the sync interval is configured by environment variable MAESTRO_WORKERS_OPERATIONEXECUTION_HEALTHCONTROLLERINTERVAL.

    By default, the scheduler does not have autoscaling configured.

    "},{"location":"tutorials/Autoscaling/#how-to-configure-and-enable-autoscaling","title":"How to configure and enable autoscaling","text":"

    To get autoscaling working in your scheduler, firstly you need to configure an autoscaling policy and enable it, this autoscaling configuration resides in the root of the scheduler structure itself.

    YAML version 
    \nname: String\ngame: String\n...\nautoscaling:\n  enabled: true\n  min: 1\n  max: 10\n  policy:\n    type: roomOccupancy\n    parameters:\n      ...\n      // Will vary according to the policy type.\n
    JSON version 
    \n{\n  \"name\": \"test\",\n  \"game\": \"multiplayer\",\n  ...\n  \"autoscaling\": {\n    \"enabled\": true,\n    \"min\": 10,\n    \"max\": 300,\n    \"policy\": {\n      \"type\": \"roomOccupancy\",\n      \"parameters\": {\n        ...\n        // Will vary according to the policy type.\n      }\n    }\n  }\n}\n
    • enabled [boolean]: A value that can be true or false, indicating if the autoscaling feature is enabled/disabled for the given scheduler. Default: false.
    • min [integer]: Minimum number of rooms the scheduler should have, it must be greater than zero. For zero value, disable autoscaling and set \"roomsReplicas\" to 0.
    • max [integer]: Maximum number of rooms the scheduler can have. It must be greater than min, or can be -1 (to have no limit).
    • policy [struct] : This field holds information regarding the autoscaling policy that will be used if the autoscaling feature is enabled:
    • type [string]: Define the policy type that will be used, must be one of the policy types maestro provides.
    • parameters [struct]: This field will contain arbitrary fields that will vary according to the chosen policy type.
    "},{"location":"tutorials/Autoscaling/#policy-types","title":"Policy Types","text":"

    Maestro has a set of predefined policy types that can be used to configure the autoscaling, each policy will implement a specific strategy for calculating the desired number of rooms and will have its configurable parameters.

    "},{"location":"tutorials/Autoscaling/#room-occupancy-policy","title":"Room Occupancy Policy","text":"

    The basic concept of this policy is to scale the scheduler up or down based on the actual room occupancy rate, by defining a \"buffer\" percentage of ready rooms that Maestro must keep. The desired number of rooms will be given by the following formula:

    desiredNumberOfRooms = \u2308(numberOfOccupiedRooms/ (1- readyTarget) )\u2309

    So basically Maestro will constantly try to maintain a certain percentage of rooms in ready state, by looking at the actual room occupancy rate (number of rooms in occupied state).

    "},{"location":"tutorials/Autoscaling/#room-occupancy-policy-parameters","title":"Room Occupancy Policy Parameters","text":"
    • readyTarget [float]: The percentage (in decimal value) of rooms that Maestro should try to keep in ready state, must be a value between 0.1 and 0.9.
    "},{"location":"tutorials/Autoscaling/#example","title":"Example","text":"YAML version 
    \nname: String\ngame: String\n...\nautoscaling:\n  enabled: true\n  min: 1\n  max: 10\n  policy:\n    type: roomOccupancy\n    parameters:\n      roomOccupancy:\n        readyTarget: 0.5\n
    JSON version 
    \n{\n  \"autoscaling\": {\n    \"enabled\": true,\n    \"min\": 10,\n    \"max\": 300,\n    \"policy\": {\n      \"type\": \"roomOccupancy\",\n      \"parameters\": {\n        \"roomOccupancy\": {\n          \"readyTarget\": 0.5\n        }\n      }\n    }\n  }\n}\n

    Below are some simulated examples of how the room occupancy policy will behave:

    Note that the autoscaling decision will always be limited by the min-max values! .

    totalRooms occupiedRooms readyTarget desiredNumberOfRooms autoscalingDecision 100 80 0.5 160 Scale Up: +60 100 50 0.5 100 Do Nothing: 0 100 30 0.5 60 Scale Down: -40 50 40 0.3 58 Scale Up: +8 50 35 0.3 50 Do Nothing: 0 50 10 0.3 15 Scale Down: -35 10 5 0.9 50 Scale Up: +40 10 1 0.9 10 Do Nothing: 0 10 1 0.8 5 Scale Down: -5 5 5 0.1 6 Scale Up: +1 1 1 0.3 2 Scale Up: +1 2 2 0.9 20 Scale Up: +18"},{"location":"tutorials/Development/","title":"Developers","text":""},{"location":"tutorials/Development/#development","title":"Development","text":""},{"location":"tutorials/Development/#setting-up-the-environment","title":"Setting up the environment","text":""},{"location":"tutorials/Development/#grpc-gateway","title":"Grpc gateway","text":"

    In order to run make generate with success, you need to have grpc-gateway dependencies installed with the following command:

    go install \\\n    github.com/grpc-ecosystem/grpc-gateway/v2/protoc-gen-grpc-gateway \\\n    github.com/grpc-ecosystem/grpc-gateway/v2/protoc-gen-openapiv2 \\\n    google.golang.org/protobuf/cmd/protoc-gen-go \\\n    google.golang.org/grpc/cmd/protoc-gen-go-grpc\n
    "},{"location":"tutorials/Development/#golang-version","title":"Golang version","text":"

    The project requires golang version 1.18 or higher.

    "},{"location":"tutorials/Development/#building-and-running","title":"Building and running","text":"
    1. Run make setup to get all required modules
    2. Run make generate to generate mocks, protos and wire (dependency injection)
    3. Run make deps/up to startup service dependencies
    4. Run make migrate to migrate database with the most updated schema
    "},{"location":"tutorials/Development/#running-tests","title":"Running tests","text":"
    1. Run make run/unit-tests to run all unit tests
    2. Run make run/integration-tests to run all integration tests
    3. Run make run/e2e-tests to run all E2E tests. NOTE: Currently it is not possible to run it with the development environment set. This command will stop the dev dependencies before running.
    4. Run make lint to run all registered linters
    "},{"location":"tutorials/Development/#running-locally","title":"Running locally","text":"

    To help you get along with Maestro, by the end of this section you should have a scheduler up and running.

    "},{"location":"tutorials/Development/#prerequisites","title":"Prerequisites","text":"
    • Golang v1.18+
    • Linux/MacOS environment
    • Docker
    "},{"location":"tutorials/Development/#clone-repository","title":"Clone Repository","text":"

    Clone the repository to your favorite folder.

    "},{"location":"tutorials/Development/#getting-maestro-up-and-running","title":"Getting Maestro up and running","text":"

    For this step, you need docker running on your machine.

    WARNING: Ensure using cgroupv1

    K3s needs to use the deprecated cgroupv1, to successfully run the project in your machine ensure that your current docker use this version.

    In the folder where the project was cloned, simply run:

    make maestro/start\n

    This will build and start all containers needed by Maestro, such as databases and maestro-modules. This will also start all maestro components, including rooms api, management api, runtime watcher, and execution worker.

    Because of that, be aware that it might take some time to finish.

    "},{"location":"tutorials/Development/#find-rooms-api-address","title":"Find rooms-api address","text":"

    To simulate a game room, it's important to find the address of running rooms-api on the local network.

    To do that, with Maestro containers running, simply use:

    docker inspect -f '{{range.NetworkSettings.Networks}}{{.Gateway}}{{end}}' {{ROOMS_API_CONTAINER_NAME}}\n

    This command should give you an IP address. This IP is important because the game rooms will use it to communicate their status.

    "},{"location":"tutorials/Development/#create-a-scheduler","title":"Create a scheduler","text":"

    If everything is working as expected now, each Maestro-module is up and running. Use the command below to create a new scheduler:

    Be aware to change the {{ROOMS_API_ADDRESS}} for the one found above.

    curl --request POST \\\n  --url http://localhost:8080/schedulers \\\n  --header 'Content-Type: application/json' \\\n  --data '{\n    \"name\": \"scheduler-run-local\",\n    \"game\": \"game-test\",\n    \"state\": \"creating\",\n    \"portRange\": {\n        \"start\": 1,\n        \"end\": 1000\n    },\n    \"maxSurge\": \"10%\",\n    \"spec\": {\n        \"terminationGracePeriod\": \"100\",\n        \"containers\": [\n            {\n                \"name\": \"alpine\",\n                \"image\": \"alpine\",\n                \"imagePullPolicy\": \"IfNotPresent\",\n                \"command\": [\n                    \"sh\",\n                    \"-c\",\n                    \"apk add curl && while true; do curl --request PUT {{ROOMS_API_ADDRESS}}:8070/scheduler/$MAESTRO_SCHEDULER_NAME/rooms/$MAESTRO_ROOM_ID/ping --data-raw '\\''{\\\"status\\\": \\\"ready\\\",\\\"timestamp\\\": \\\"12312312313\\\"}'\\'' && sleep 5; done\"\n                ],\n                \"environment\": [],\n                \"requests\": {\n                    \"memory\": \"100Mi\",\n                    \"cpu\": \"100m\"\n                },\n                \"limits\": {\n                    \"memory\": \"200Mi\",\n                    \"cpu\": \"200m\"\n                },\n                \"ports\": [\n                    {\n                        \"name\": \"port-name\",\n                        \"protocol\": \"tcp\",\n                        \"port\": 12345\n                    }\n                ]\n            }\n        ],\n        \"toleration\": \"\",\n        \"affinity\": \"\"\n    },\n    \"forwarders\": []\n}'\n
    "},{"location":"tutorials/Development/#congratulations","title":"Congratulations","text":"

    If you followed the steps above you have Maestro running in your local machine, and with a scheduler to try different operations on it. Feel free to explore the available endpoints in the API hitting directly the management-API.

    If you have any doubts or feedbacks regarding this process, feel free to reach out in Maestro's GitHub repository and open an issue/question.

    "},{"location":"tutorials/EventsForwarding/","title":"Events Forwarding","text":""},{"location":"tutorials/EventsForwarding/#configuring-events-forwarding","title":"Configuring Events Forwarding","text":""},{"location":"tutorials/EventsForwarding/#prerequisites","title":"Prerequisites","text":"
    • Have a game room container image that communicates with maestro through Maestro's rooms API
    "},{"location":"tutorials/EventsForwarding/#learning-outcomes","title":"Learning Outcomes","text":"

    After finishing this tutorial you will understand how:

    • to configure your room (ping) and player events to be forwarded to an external service (e.g. a matchmaking service)
    "},{"location":"tutorials/EventsForwarding/#what-is","title":"What is","text":"

    Events forwarding is an optional feature in which every room event or player event is forwarded to an external service.

    Through rooms API, Maestro provides several endpoints for receiving events from the game rooms. These events can be either room events (like room changing state from ready to occupied) or player events (like player joining or leaving the room). Maestro rely only on room events for managing the game rooms, player events endpoint is designed to be used exclusively with the events forwarding feature, since maestro does not depend on this information.

    Usually Maestro is used with a Matchmaking service, and a matchmaking service generally will need to keep up-to-date with the pool of game rooms that are available or not. Events forwarding feature exists for facilitating this integration, even being possible to make game rooms communicate with matchmaker directly.

    "},{"location":"tutorials/EventsForwarding/#how-to-configure-and-enable-events-forwarder","title":"How to configure and enable events forwarder","text":"

    To get events forwarding working in your scheduler, firstly you need to configure the events forwarder and enable it, this forwarder configuration resides in the root of the scheduler structure itself.

    YAML version 
    \nname: String\ngame: String\n...\nforwarders:\n  - name: matchmaking\n    enable: true\n    type: gRPC\n    address: 'external-matchmaker.svc.cluster.local:80'\n    options:\n      timeout: '1000'\n      metadata:\n        ...\n        // Will vary according to the policy type.\n
    JSON version 
    \n{\n  \"name\": \"String\",\n  \"game\": \"String\",\n  ...\n  \"forwarders\": [\n    {\n      \"name\": \"matchmaking\",\n      \"enable\": true,\n      \"type\": \"gRPC\",\n      \"address\": \"external-matchmaker.svc.cluster.local:80\",\n      \"options\": {\n        \"timeout\": \"1000\",\n        \"metadata\": {\n            ...\n            // Will vary according to the user needs.\n        } \n      }\n    }\n  ]\n}\n
    • name: Name of the forwarder. Used only for reference (visibility and recognition);
    • enable: Toggle to easily enable/disable the forwarder;
    • type: Type of the forwarder. Right now, only accepts gRPC;
    • address: Address used by the scheduler to forward events. E.g. 'api.example.com:8080';
    • options: Optional parameters.
    • timeout: Timeout value for an event to successfully be forwarded;
    • metadata: Arbitrary metadata object that can contain any data that will be embedded in all event that is forwarded.
    "},{"location":"tutorials/EventsForwarding/#events-forwarding-types","title":"Events Forwarding Types","text":"

    Currently, Maestro only supports gRPC forwarder type.

    "},{"location":"tutorials/EventsForwarding/#grpc","title":"GRPC","text":"

    This event forwarding type uses the GRPCForwarder service proto definition to forward events, this means that the external service should use gRPC protocol and implement this service to receive events.

    "},{"location":"tutorials/GettingStarted/","title":"Getting Started","text":""},{"location":"tutorials/GettingStarted/#getting-started-guide","title":"Getting Started Guide","text":""},{"location":"tutorials/GettingStarted/#prerequisites","title":"Prerequisites","text":"
    • Have a game room container image
    "},{"location":"tutorials/GettingStarted/#learning-outcomes","title":"Learning Outcomes","text":"

    After finishing this tutorial you will understand how:

    • to set up your game room to communicate its health status with maestro
    • to configure a new scheduler in maestro with a fixed number of replicas
    "},{"location":"tutorials/GettingStarted/#configuring-your-game-room","title":"Configuring your game room","text":"

    For Maestro to be able to manage your game rooms, you need to ensure that your game room sends a periodic heartbeat to maestro. This heartbeat is what we call ping, in which the room is able to inform its status (such as ready or occupied) to maestro.

    For this, you can use maestro-client sdk, if you are using unity, or you can call Maestro rooms API directly using two env vars that are configured in every game room managed by maestro by default.

    PUT scheduler/$MAESTRO_SCHEDULER_NAME/rooms/$MAESTRO_ROOM_ID/ping

    {\n    \"status\": \"ready\",\n    \"timestamp\": \"12312312313\"\n}\n

    The status field can be: - ready: the room is ready to accept players. - occupied: the room is occupied by one or more matches, and is not ready to accept more players. - terminating: the room is terminating, and will not accept any new players.

    "},{"location":"tutorials/GettingStarted/#create-a-scheduler","title":"Create a scheduler","text":"

    Use the command below to create a new scheduler, this will make a POST request for /schedulers endpoint.

    You need to change some parameters according to your game room image needs, for further details on all scheduler fields check the reference:

    • image: your game room image.
    • game: your game name (a same game can have multiple schedulers).
    • name: your scheduler name (usually, the stack name).
    • spec.command: any command that is required to run your game room.
    • spec.environment: any environment variable required to run your game room.
    • spec.ports: any port that must be exposed for clients to connect to the game room
    curl --request POST \\\n  --url https://<maestro-url>/schedulers \\\n  --header 'Content-Type: application/json' \\\n  --header \"Authorization: Basic <user:pass in base64>\" \\\n  --data '{\n    \"name\": \"<your-scheduler-name-here>\",\n    \"game\": \"<your-game-name-here>\",\n    \"roomsReplicas\": 1,\n    \"portRange\": {\n            \"start\": 20000,\n            \"end\": 21000\n    },\n    \"maxSurge\": \"10%\",\n    \"spec\": {\n            \"terminationGracePeriod\": \"100\",\n            \"containers\": [\n                {\n                    \"name\": \"game-container\",\n                    \"image\": \"<your-game-image-here>\",\n                    \"imagePullPolicy\": \"IfNotPresent\",\n                    \"command\": [\n                        <required-commands-for-game-image>\n                        \"sh example.sh\"\n                    ],\n                    \"environment\": [\n                        <required-commands-for-game-image>\n                        {\n                            \"name\": \"EXAMPLE_NAME\",\n                            \"value\": \"EXAMPLE_VALUE\"\n                        }\n                    ],\n                    \"requests\": {\n                        \"memory\": \"100Mi\",\n                        \"cpu\": \"100m\"\n                    },\n                    \"limits\": {\n                        \"memory\": \"200Mi\",\n                        \"cpu\": \"200m\"\n                    },\n                    \"ports\": [\n                        {\n                            \"name\": \"port-name\",\n                            \"protocol\": \"tcp\",\n                            \"port\": 12345\n                        }\n                    ]\n                }\n            ]\n    },\n    \"forwarders\": []\n}'\n

    After running this command, a scheduler will be created with 1 game room replica.

    Then you can use the following command to get the scheduler details such as how many rooms are ready or occupied:

    curl --location --request GET \"<maestro-url>/schedulers/info?game=<your-game-name-here>\" \\\n --header \"Accept: application/json\" \\\n --header \"Authorization: Basic <user:pass in base64>\"\n
    "}]} \ No newline at end of file diff --git a/sitemap.xml b/sitemap.xml new file mode 100644 index 000000000..0f8724efd --- /dev/null +++ b/sitemap.xml @@ -0,0 +1,3 @@ + + + \ No newline at end of file diff --git a/sitemap.xml.gz b/sitemap.xml.gz new file mode 100644 index 0000000000000000000000000000000000000000..cb35ead2b26d27fd272a28d47d46815b4af45af3 GIT binary patch literal 127 zcmV-_0D%7=iwFqF4$))+|8r?{Wo=<_E_iKh04<9_3V)_WXo8&M?ytk3HC}0~zlG)Vu + + + + + + + + + +Autoscaling - Maestro + + + + + + + + + + + + +
    +
    +
    + +
    +
    +
    +
    +
    +
    +
    + +
    +
    +
    +
    +
    +
    + +
    +
    +
    +
    +
    +

    Autoscaling

    +

    Configuring Scheduler Autoscaling

    +

    Prerequisites

    +
      +
    • Have a game room container image that communicates with maestro through Maestro's rooms API
      • +
    +

    Learning Outcomes

    +

    After finishing this tutorial you will understand how:

    +
      +
    • to configure autoscaling policies for your scheduler
      • +
    +

    What is

    +

    Autoscaling is an optional feature in which the user can choose and parametrize different autoscaling policies that maestro +will use to automatically scale the number of rooms in the scheduler.

    +

    Maestro has an internal process that periodically keeps checking if it needs to create or delete game rooms for the given scheduler, +if autoscaling is not configured or enabled, it will always try to maintain the current number of rooms equal to roomsReplicas scheduler property. +If autoscaling is configured and enabled, it will use the configured autoscaling policy to decide if it needs to scale up (create more rooms), +scale down (delete rooms) or do nothing.

    +
    flowchart TD + finish((End)) + add_rooms_operation(Enqueue add rooms operation) + remove_rooms_operation(Enqueue remove rooms) + use_rooms_replicas(Use rooms replicas to calculate the desired number of rooms) + autoscaling_enabled{Autoscaling configured and enabled?} + decide_operation{Compare current number of rooms with the desired amount.} + use_autoscaling[Use Autoscaling policy to calculate the desired number of rooms coerced in min-max range] + autoscaling_enabled -- No --> use_rooms_replicas; + autoscaling_enabled -- Yes --> use_autoscaling; + use_autoscaling --> decide_operation; + use_rooms_replicas --> decide_operation; + decide_operation -- desired > actual --> add_rooms_operation --> finish; + decide_operation -- desired == actual --> finish; + decide_operation -- desired < actual --> remove_rooms_operation --> finish; +
    +

    Currently, the sync interval is configured by environment variable MAESTRO_WORKERS_OPERATIONEXECUTION_HEALTHCONTROLLERINTERVAL.

    +
    +

    By default, the scheduler does not have autoscaling configured.

    +
    +

    How to configure and enable autoscaling

    +

    To get autoscaling working in your scheduler, firstly you need to configure an autoscaling policy and enable it, this autoscaling +configuration resides in the root of the scheduler structure itself.

    +
    +YAML version +
    +
    +name: String
+game: String
+...
+autoscaling:
+  enabled: true
+  min: 1
+  max: 10
+  policy:
+    type: roomOccupancy
+    parameters:
+      ...
+      // Will vary according to the policy type.
+
    +
    +
    +
    +JSON version +
    +
    +{
+  "name": "test",
+  "game": "multiplayer",
+  ...
+  "autoscaling": {
+    "enabled": true,
+    "min": 10,
+    "max": 300,
+    "policy": {
+      "type": "roomOccupancy",
+      "parameters": {
+        ...
+        // Will vary according to the policy type.
+      }
+    }
+  }
+}
+
    +
    +
    +
      +
    • enabled [boolean]: A value that can be true or false, indicating if the autoscaling feature is enabled/disabled for the given scheduler. Default: false.
      • +
    • min [integer]: Minimum number of rooms the scheduler should have, it must be greater than zero. For zero value, disable autoscaling and set "roomsReplicas" to 0.
      • +
    • max [integer]: Maximum number of rooms the scheduler can have. It must be greater than min, or can be -1 (to have no limit).
      • +
    • policy [struct] : This field holds information regarding the autoscaling policy that will be used if the autoscaling feature is enabled:
      • +
    • type [string]: Define the policy type that will be used, must be one of the policy types maestro provides.
      • +
    • parameters [struct]: This field will contain arbitrary fields that will vary according to the chosen policy type.
      • +
    +
    +

    Policy Types

    +

    Maestro has a set of predefined policy types that can be used to configure the autoscaling, each policy will implement +a specific strategy for calculating the desired number of rooms and will have its configurable parameters.

    +

    Room Occupancy Policy

    +

    The basic concept of this policy is to scale the scheduler up or down based on the actual room occupancy rate, by defining a "buffer" percentage +of ready rooms that Maestro must keep. The desired number of rooms will be given by the following formula:

    +

    desiredNumberOfRooms = ⌈(numberOfOccupiedRooms/ (1- readyTarget) )⌉

    +

    So basically Maestro will constantly try to maintain a certain percentage of rooms in ready state, by looking at the +actual room occupancy rate (number of rooms in occupied state).

    +

    Room Occupancy Policy Parameters

    +
      +
    • readyTarget [float]: The percentage (in decimal value) of rooms that Maestro should try to keep in ready state, must be a value between 0.1 and 0.9.
      • +
    +

    Example

    +
    +YAML version +
    +
    +name: String
+game: String
+...
+autoscaling:
+  enabled: true
+  min: 1
+  max: 10
+  policy:
+    type: roomOccupancy
+    parameters:
+      roomOccupancy:
+        readyTarget: 0.5
+
    +
    +
    +
    +JSON version +
    +
    +{
+  "autoscaling": {
+    "enabled": true,
+    "min": 10,
+    "max": 300,
+    "policy": {
+      "type": "roomOccupancy",
+      "parameters": {
+        "roomOccupancy": {
+          "readyTarget": 0.5
+        }
+      }
+    }
+  }
+}
+
    +
    +
    +

    Below are some simulated examples of how the room occupancy policy will behave:

    +
    +

    Note that the autoscaling decision will always be limited by the min-max values! .

    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    totalRoomsoccupiedRoomsreadyTargetdesiredNumberOfRoomsautoscalingDecision
    100800.5160Scale Up: +60
    100500.5100Do Nothing: 0
    100300.560Scale Down: -40
    50400.358Scale Up: +8
    50350.350Do Nothing: 0
    50100.315Scale Down: -35
    1050.950Scale Up: +40
    1010.910Do Nothing: 0
    1010.85Scale Down: -5
    550.16Scale Up: +1
    110.32Scale Up: +1
    220.920Scale Up: +18
    +
    +
    + + + Last update: + 2023-08-07 + + +
    +
    +
    +
    +
    + +
    +
    +
    +
    + + + + \ No newline at end of file diff --git a/tutorials/Development/index.html b/tutorials/Development/index.html new file mode 100644 index 000000000..3e73a1f67 --- /dev/null +++ b/tutorials/Development/index.html @@ -0,0 +1,850 @@ + + + + + + + + + + + + + + + + + + + + + + Developers - Maestro + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + +
    + + + + + + +
    + + +
    + +
    + + + + + + +
    +
    + + + +
    +
    +
    + + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    +
    + + + +
    +
    + + + + + + + +

    Developers

    + +

    Development

    +
    +

    Setting up the environment

    +

    Grpc gateway

    +

    In order to run make generate with success, you need to have grpc-gateway dependencies installed with the following command:

    +
    go install \
+    github.com/grpc-ecosystem/grpc-gateway/v2/protoc-gen-grpc-gateway \
+    github.com/grpc-ecosystem/grpc-gateway/v2/protoc-gen-openapiv2 \
+    google.golang.org/protobuf/cmd/protoc-gen-go \
+    google.golang.org/grpc/cmd/protoc-gen-go-grpc
+
    +

    Golang version

    +

    The project requires golang version 1.18 or higher.

    +

    Building and running

    +
      +
    1. Run make setup to get all required modules
      2. +
    2. Run make generate to generate mocks, protos and wire (dependency injection)
      3. +
    3. Run make deps/up to startup service dependencies
      4. +
    4. Run make migrate to migrate database with the most updated schema
      5. +
    +

    Running tests

    +
      +
    1. Run make run/unit-tests to run all unit tests
      2. +
    2. Run make run/integration-tests to run all integration tests
      3. +
    3. Run make run/e2e-tests to run all E2E tests. NOTE: Currently it is not + possible to run it with the development environment set. This command will + stop the dev dependencies before running.
      4. +
    4. Run make lint to run all registered linters
      5. +
    +
    +

    Running locally

    +

    To help you get along with Maestro, by the end of this section you should have a scheduler up and running.

    +

    Prerequisites

    +
      +
    • Golang v1.18+
      • +
    • Linux/MacOS environment
      • +
    • Docker
      • +
    +

    Clone Repository

    +

    Clone the repository to your favorite folder.

    +

    Getting Maestro up and running

    +
    +

    For this step, you need docker running on your machine.

    +

    WARNING: Ensure using cgroupv1

    +

    K3s needs to use the deprecated cgroupv1, to successfully run the project in your machine ensure that your current docker use this version.

    +
    +

    In the folder where the project was cloned, simply run:

    +
    make maestro/start
+
    +

    This will build and start all containers needed by Maestro, such as databases and maestro-modules. This will also start +all maestro components, including rooms api, management api, runtime watcher, and execution worker.

    +

    Because of that, be aware that it might take some time to finish.

    +

    Find rooms-api address

    +

    To simulate a game room, it's important to find the address of running rooms-api on the local network.

    +

    To do that, with Maestro containers running, simply use:

    +
    docker inspect -f '{{range.NetworkSettings.Networks}}{{.Gateway}}{{end}}' {{ROOMS_API_CONTAINER_NAME}}
+
    +

    This command should give you an IP address. +This IP is important because the game rooms will use it to communicate their status.

    +

    Create a scheduler

    +

    If everything is working as expected now, each Maestro-module is up and running. +Use the command below to create a new scheduler:

    +
    +

    Be aware to change the {{ROOMS_API_ADDRESS}} for the one found above.

    +
    +
    curl --request POST \
+  --url http://localhost:8080/schedulers \
+  --header 'Content-Type: application/json' \
+  --data '{
+    "name": "scheduler-run-local",
+    "game": "game-test",
+    "state": "creating",
+    "portRange": {
+        "start": 1,
+        "end": 1000
+    },
+    "maxSurge": "10%",
+    "spec": {
+        "terminationGracePeriod": "100",
+        "containers": [
+            {
+                "name": "alpine",
+                "image": "alpine",
+                "imagePullPolicy": "IfNotPresent",
+                "command": [
+                    "sh",
+                    "-c",
+                    "apk add curl && while true; do curl --request PUT {{ROOMS_API_ADDRESS}}:8070/scheduler/$MAESTRO_SCHEDULER_NAME/rooms/$MAESTRO_ROOM_ID/ping --data-raw '\''{\"status\": \"ready\",\"timestamp\": \"12312312313\"}'\'' && sleep 5; done"
+                ],
+                "environment": [],
+                "requests": {
+                    "memory": "100Mi",
+                    "cpu": "100m"
+                },
+                "limits": {
+                    "memory": "200Mi",
+                    "cpu": "200m"
+                },
+                "ports": [
+                    {
+                        "name": "port-name",
+                        "protocol": "tcp",
+                        "port": 12345
+                    }
+                ]
+            }
+        ],
+        "toleration": "",
+        "affinity": ""
+    },
+    "forwarders": []
+}'
+
    +

    Congratulations

    +

    If you followed the steps above you have Maestro running in your local machine, and with a scheduler to try different operations on it. +Feel free to explore the available endpoints in the API hitting directly the management-API.

    +

    If you have any doubts or feedbacks regarding this process, feel free to reach out in Maestro's GitHub repository and open an issue/question.

    + +
    +
    + + + Last update: + 2023-08-07 + + +
    + + + + + + +
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    + +
    + + + +
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    + + + + + + + + + \ No newline at end of file diff --git a/tutorials/EventsForwarding/index.html b/tutorials/EventsForwarding/index.html new file mode 100644 index 000000000..6f5f2c69b --- /dev/null +++ b/tutorials/EventsForwarding/index.html @@ -0,0 +1,722 @@ + + + + + + + + + + + + + + + + + + + + + + Events Forwarding - Maestro + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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    Events Forwarding

    + +

    Configuring Events Forwarding

    +

    Prerequisites

    +
      +
    • Have a game room container image that communicates with maestro through Maestro's rooms API
      • +
    +

    Learning Outcomes

    +

    After finishing this tutorial you will understand how:

    +
      +
    • to configure your room (ping) and player events to be forwarded to an external service (e.g. a matchmaking service)
      • +
    +

    What is

    +

    Events forwarding is an optional feature in which every room event or player event is forwarded to an external service.

    +

    Through rooms API, Maestro provides several endpoints for receiving events from the game rooms. These events +can be either room events (like room changing state from ready to occupied) or player events (like player joining or leaving the room). +Maestro rely only on room events for managing the game rooms, player events endpoint is designed to be used exclusively with the events forwarding feature, +since maestro does not depend on this information.

    +

    Usually Maestro is used with a Matchmaking service, and a matchmaking service generally will need to keep up-to-date with the pool of game rooms that are available or not. +Events forwarding feature exists for facilitating this integration, even being possible to make game rooms communicate with matchmaker directly.

    +

    How to configure and enable events forwarder

    +

    To get events forwarding working in your scheduler, firstly you need to configure the events forwarder and enable it, this forwarder +configuration resides in the root of the scheduler structure itself.

    +
    + YAML version +
    + 
    +name: String
+game: String
+...
+forwarders:
+  - name: matchmaking
+    enable: true
+    type: gRPC
+    address: 'external-matchmaker.svc.cluster.local:80'
+    options:
+      timeout: '1000'
+      metadata:
+        ...
+        // Will vary according to the policy type.
+
    +
    +
    + +
    + JSON version +
    + 
    +{
+  "name": "String",
+  "game": "String",
+  ...
+  "forwarders": [
+    {
+      "name": "matchmaking",
+      "enable": true,
+      "type": "gRPC",
+      "address": "external-matchmaker.svc.cluster.local:80",
+      "options": {
+        "timeout": "1000",
+        "metadata": {
+            ...
+            // Will vary according to the user needs.
+        } 
+      }
+    }
+  ]
+}
+
    +
    +
    + +
      +
    • name: Name of the forwarder. Used only for reference (visibility and recognition);
      • +
    • enable: Toggle to easily enable/disable the forwarder;
      • +
    • type: Type of the forwarder. Right now, only accepts gRPC;
      • +
    • address: Address used by the scheduler to forward events. E.g. 'api.example.com:8080';
      • +
    • options: Optional parameters.
      • +
    • timeout: Timeout value for an event to successfully be forwarded;
      • +
    • metadata: Arbitrary metadata object that can contain any data that will be embedded in all event that is forwarded.
      • +
    +
    +

    Events Forwarding Types

    +

    Currently, Maestro only supports gRPC forwarder type.

    +

    GRPC

    +

    This event forwarding type uses the GRPCForwarder service proto definition +to forward events, this means that the external service should use gRPC protocol and implement this service to receive events.

    + +
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    + + + Last update: + 2023-08-07 + + +
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    Getting Started

    + +

    Getting Started Guide

    +

    Prerequisites

    +
      +
    • Have a game room container image
      • +
    +

    Learning Outcomes

    +

    After finishing this tutorial you will understand how:

    +
      +
    • to set up your game room to communicate its health status with maestro
      • +
    • to configure a new scheduler in maestro with a fixed number of replicas
      • +
    +

    Configuring your game room

    +

    For Maestro to be able to manage your game rooms, you need to ensure that your game room sends a periodic heartbeat to maestro. +This heartbeat is what we call ping, in which the room is able to inform its status (such as ready or occupied) to maestro.

    +

    For this, you can use maestro-client sdk, if you are using unity, or you can call +Maestro rooms API directly using two env vars that are configured in every game room managed by maestro by default.

    +

    PUT scheduler/$MAESTRO_SCHEDULER_NAME/rooms/$MAESTRO_ROOM_ID/ping

    +
    {
+    "status": "ready",
+    "timestamp": "12312312313"
+}
+
    +

    The status field can be: +- ready: the room is ready to accept players. +- occupied: the room is occupied by one or more matches, and is not ready to accept more players. +- terminating: the room is terminating, and will not accept any new players.

    +

    Create a scheduler

    +

    Use the command below to create a new scheduler, this will make a POST request for /schedulers endpoint.

    +

    You need to change some parameters according to your game room image needs, for further details on all scheduler fields check +the reference:

    +
      +
    • image: your game room image.
      • +
    • game: your game name (a same game can have multiple schedulers).
      • +
    • name: your scheduler name (usually, the stack name).
      • +
    • spec.command: any command that is required to run your game room.
      • +
    • spec.environment: any environment variable required to run your game room.
      • +
    • spec.ports: any port that must be exposed for clients to connect to the game room
      • +
    +
    curl --request POST \
+  --url https://<maestro-url>/schedulers \
+  --header 'Content-Type: application/json' \
+  --header "Authorization: Basic <user:pass in base64>" \
+  --data '{
+    "name": "<your-scheduler-name-here>",
+    "game": "<your-game-name-here>",
+    "roomsReplicas": 1,
+    "portRange": {
+            "start": 20000,
+            "end": 21000
+    },
+    "maxSurge": "10%",
+    "spec": {
+            "terminationGracePeriod": "100",
+            "containers": [
+                {
+                    "name": "game-container",
+                    "image": "<your-game-image-here>",
+                    "imagePullPolicy": "IfNotPresent",
+                    "command": [
+                        <required-commands-for-game-image>
+                        "sh example.sh"
+                    ],
+                    "environment": [
+                        <required-commands-for-game-image>
+                        {
+                            "name": "EXAMPLE_NAME",
+                            "value": "EXAMPLE_VALUE"
+                        }
+                    ],
+                    "requests": {
+                        "memory": "100Mi",
+                        "cpu": "100m"
+                    },
+                    "limits": {
+                        "memory": "200Mi",
+                        "cpu": "200m"
+                    },
+                    "ports": [
+                        {
+                            "name": "port-name",
+                            "protocol": "tcp",
+                            "port": 12345
+                        }
+                    ]
+                }
+            ]
+    },
+    "forwarders": []
+}'
+
    +

    After running this command, a scheduler will be created with 1 game room replica.

    +

    Then you can use the following command to get the scheduler details such as how many rooms are ready or occupied:

    +
    curl --location --request GET "<maestro-url>/schedulers/info?game=<your-game-name-here>" \
+ --header "Accept: application/json" \
+ --header "Authorization: Basic <user:pass in base64>"
+
    + +
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    + + + Last update: + 2023-08-07 + + +
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