From b588bfff4eb5c2929532c2a148dc987d895d47f7 Mon Sep 17 00:00:00 2001 From: Lawrence McDaniel Date: Mon, 4 Apr 2022 18:33:14 -0500 Subject: [PATCH] Version upgrades and incremental improvements (#3) * cluster_endpoint_public_access = false * documentation * kubernetes_namespace.namespace depends on module.eks * modify setup instructions * parameterize environment_name * parameterize environment_name * parameterize environment_name * parameterize environment_name * add ci_deploy_hastexo_tutor_contrib_s3_version * add ci_deploy_hastexo_tutor_contrib_s3_version * documentation * documentation * documentation * add eks_managed_node_groups defaults, set fargate profile to default * documentation * documentation * documentation * enable_irsa defaults to true * refactor the service_account_role_arn for vpc-cni * only depends on module.eks * simplify module.eks. remove all addons. only one selector for fargate_profile. * add cluster_addons coredns * remove eks_managed_node_groups * add terraform_aws_modules_vpc * add terraform_aws_modules_vpc * reconfigure module with sponsor example * configure node groups * create separate profiles for openedx, kube-system * lint * add the data sources and the kubernetes provider block * add helm provider. hard code the name space to 'kube-system' * add dependency to module.eks * parameterize terraform_aws_modules_s3 * update change notes * setup an simple 1-container app for deployment testing purposes * refactor kubernetes data blocks * terragrunt plan passes * remove annotations from kubernetes_ingress.app * documentation * add test apps * refactor route53 resources * testing * more route53 refactoring * move alb controller back into eks * move nginx and alb into alb namespace * setup nginx deployment * set depends_on * terragrunt testing * testing * add kubernetes_ingress.nginx * cleanup * documentation * add fargate pod execution role * wrap up EKS Fargate pod execution role * scaffold our own aws alb conroller module * configure aws alb controller based on https://aws.amazon.com/premiumsupport/knowledge-center/eks-alb-ingress-controller-fargate/ * syntax error * rename pod_execution role * terragrunt testing * terragrunt testing * terragrunt plan created on this commit * additional helm config * wait_for_load_balancer = true * add node_security_group_additional_rules to resolve problem with alb creation * documentation * add dependencies * move alb code to its own module * namespace is now kube-system * namespace is now kube-system * move coredns to fargate * terragrunt testing * terragrunt testing * terragrunt testing * terragrunt testing * terragrunt testing * terragrunt testing * add namespaces for application and openedx * move deployments into separate module * move nginx back to alb controller module * alb configuration * add dependencies * testing * healthy port range is 200-399 * node_security_group_additional_rules * open port 80 from anywhere * rename parameter * add module vpc_cni_irsa * set create timeout to 30 minutes * listen ports: 80, 443 * add ssh key name * remove kube-proxy add_on. it doesn't do anything * reassign service ports * change service type to ClusterIP * add ALB diagram * add ALB diagram * documentation * remove port 80 from node_security_group_additional_rules * open port 80 in the EKS created sg * documentation * add dependencies * attribution * consolidate security group into ingress.tf * remove dependency from module.vpc_cni_irsa * create environment_namespace in fargate profile * add namespace for environment * eks is now eks_fargate * add an ec2 worker node configuration * remove eks_worker_group parameters * parameterize eks compute node option * fix hard-coded domain name in spec tls * add eks cluster options * add eks cluster options * restrict port 80 ingress of aws_security_group_rule.nginx to the vpc * documentation * create ec2 and fargate versions of terragrunt.hcl * rename the ingress to alb * documentation * documentation * fire for effect * configure for prod * parameterize version constraint * parameterize version * rename kubernetes_ingress to alb * rename kubernetes_ingress to alb * terragrunt testing * testing * terragrunt testing * refactor post_gen_hook * refactor post_gen_hook * refactor post_gen_hook * refactor post_gen_hook * refactor post_gen_hook * refactor post_gen_hook * assign a value for db_subnet_group_name * wrap booleans in full quotes * move aws_db_subnet_group from vpc to mysql * lint * remove dead code * doesn't really depend on kubernetes * doesn't really depend on kubernetes * reduce non-system namespaces to only openedx, default * rename eks to kubernetes * rename eks to kubernetes * rename secrets to kubernetes_secrets * refactor s3 buckets * eks is now kubernetes * bastion is now ec2_bastion * review dependencies * terragrunt testing * add mock outputs for eks cluster * allow mock outputs on validate and init * add mock outputs * documentatin * replication_group_description is deprecated. changed to description * number_cache_clusters is deprecated. changed to num_cache_clusters * linter * make bastion a cookiecutter option * documentation * add the kubernetes provider * documentation * switch namespace to openedx * fix syntax error * put all secrets in the openedx namespace * application namespace changed to openedx * documentation * documentation * add dependencies * documentation * documentation * documentation * set namespace to openedx * set namespace to openedx * add aws-efs-csi-driver * scaffold kubernetes_persistent_volume_claim * test * documentation * renamed * code pv and pvc * terragrunt testing * remove all persistent volume resources, and the eks add-on * move nginx deployments to ci * move nginx service back to terraform * testing * testing * testing * renamed * rename stuff * remove all ci manifests. TUTOR_RUN_NGINX=true, ENABLE_WEB_PROXY=false * configure lms host * configure lms host * configure lms host * add nginx configs for lms, cms * only deploy lms, cms, smtp * testing * test * test * lint json * disable elasticsearch * refactor kubernetes fargate to use ec2 as primary * add ec2 variables * add ec2 variables * move port 80 sg to alb controller * move coredns back to fargate * remove cluster_security_group_additional_rules * terragrunt testing * testing * reduce eks definition to bare minimum * add coredns and vpc-cni * remove atomic flag * attempt simplest possible ec2-only config * delete the alb controller * remove all compute type option processing * remove deployment options * revert to main, but add in cookiecutter enviornment variables * remove compute specific environments * 86 the clb * re-scaffold from main * tweak name * arg * fix hosts * arrrrrrrrrrrrrr * set namespace to openedx * set namespace to openedx * set namespace to ingress-nginx * add map_users for additional kubernetes admins. add security rule to open port 8443. * parameterize aws account number * parameteriz map_users * standarize required provider block * testing * add map_roles * kill auth_map mod * set ec2 sizes and cluster * fix sg name * add descriptions to all sg rules * add kubernetes as a dependency * add better descriptions to sg resources * best descriptions ever * switch cidrs to strings * fix identifier * tweak description * remove s3 data backup * switch acm module to data declaration * remove all data declarations * documentation * namespace must be openedx * remove certs for environment domain * move us-east-1 certs to cloudfront * add a Usage tag * add a Usage tag * aws_acm_certificate depends on the module --- .gitignore | 1 + .pre-commit-config.yaml | 2 +- CHANGELOG.md | 43 ++++ README.rst | 108 +++++----- cookiecutter.json | 37 ++-- hooks/post_gen_project.py | 69 +------ tests/test.sh | 16 +- ...loy_{{cookiecutter.environment_name}}.yml} | 20 +- {{cookiecutter.github_repo_name}}/README.rst | 133 +++++++++---- .../k8s/{eks_clb_ec2 => }/README.md | 2 +- .../k8s/{eks_clb_ec2 => }/cluster-issuer.yml | 2 +- .../k8s/eks_alb_ec2/README.md | 68 ------- .../k8s/eks_alb_fargate/README.md | 68 ------- .../k8s/eks_clb_ec2/data-backup.yml | 102 ---------- .../k8s/{eks_clb_ec2 => }/ingress.yml | 4 +- .../doc/terragrunt-init.png | Bin 0 -> 182076 bytes .../components/data_backup_s3/kubernetes.tf | 37 ---- .../components/data_backup_s3/main.tf | 62 ------ .../components/data_backup_s3/outputs.tf | 48 ----- .../components/data_backup_s3/variables.tf | 47 ----- .../components/data_backup_s3/versions.tf | 19 -- .../terraform/components/eks_clb_ec2/acm.tf | 83 -------- .../terraform/components/eks_clb_ec2/main.tf | 105 ---------- .../components/eks_clb_ec2/outputs.tf | 186 ------------------ .../components/eks_clb_ec2/variables.tf | 105 ---------- .../terraform/components/jwt/main.tf | 22 --- .../terraform/components/jwt/versions.tf | 19 -- 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.../modules/cloudfront/certificate_manager.tf | 59 ++++++ .../cloudfront/main.tf | 9 +- .../cloudfront/outputs.tf | 0 .../cloudfront/variables.tf | 0 .../cloudfront/versions.tf | 0 .../bastion => modules/ec2_bastion}/main.tf | 5 +- .../ec2_bastion}/outputs.tf | 0 .../ec2_bastion}/variables.tf | 0 .../ec2_bastion}/versions.tf | 0 .../terraform/modules/kubernetes/README.rst | 43 ++++ .../modules/kubernetes/doc/aws-vpc-eks.png | Bin 0 -> 88875 bytes .../kubernetes/doc/aws_eks_fargate.png | Bin 0 -> 111317 bytes .../modules/kubernetes/doc/diagram-eks.png | Bin 0 -> 65261 bytes .../kubernetes/doc/diagram-fargate.png | Bin 0 -> 105752 bytes .../kubernetes/doc/node_group-diagram.jpeg | Bin 0 -> 341634 bytes .../node_security_group_additional_rules.png | Bin 0 -> 991258 bytes .../modules/kubernetes/kubernetes.tf | 22 +++ .../terraform/modules/kubernetes/main.tf | 96 +++++++++ .../terraform/modules/kubernetes/outputs.tf | 185 +++++++++++++++++ .../terraform/modules/kubernetes/variables.tf | 86 ++++++++ .../terraform/modules/kubernetes/versions.tf | 18 ++ .../kubernetes_ingress_clb}/README.md | 0 .../modules/kubernetes_ingress_clb/acm.tf | 27 +++ .../cert-manager-values.yaml.tpl | 0 .../kubernetes_ingress_clb}/cert-manager.tf | 8 +- .../kubernetes_ingress_clb}/ingress.tf | 4 +- .../modules/kubernetes_ingress_clb/main.tf | 72 +++++++ .../kubernetes_ingress_clb/outputs.tf} | 12 +- .../kubernetes_ingress_clb}/route53.tf | 4 +- .../kubernetes_ingress_clb/variables.tf | 38 ++++ .../kubernetes_ingress_clb}/versions.tf | 0 .../kubernetes_secrets}/admin.tf | 2 +- .../kubernetes_secrets}/jwt.tf | 2 +- .../kubernetes_secrets/kubernetes.tf} | 0 .../kubernetes_secrets}/oauth.tf | 2 +- .../kubernetes_secrets}/session.tf | 2 +- .../kubernetes_secrets}/variables.tf | 9 +- .../kubernetes_secrets}/versions.tf | 10 +- .../mongodb/kubernetes.tf | 2 +- .../{components => modules}/mongodb/main.tf | 12 +- .../mongodb/outputs.tf | 0 .../mongodb/route53.tf | 0 .../mongodb/variables.tf | 0 .../mongodb/versions.tf | 0 .../mysql/kubernetes.tf | 4 +- .../terraform/modules/mysql/main.tf | 115 +++++++++++ .../{components => modules}/mysql/outputs.tf | 0 .../{components => modules}/mysql/route53.tf | 0 .../mysql/variables.tf | 2 - .../{components => modules}/mysql/versions.tf | 0 .../redis/kubernetes.tf | 2 +- .../{components => modules}/redis/main.tf | 37 ++-- .../redis/modules/elasticache/main.tf | 30 +-- .../elasticache_parameter_group/main.tf | 0 .../elasticache_parameter_group/outputs.tf | 0 .../elasticache_parameter_group/variables.tf | 0 .../elasticache_parameter_group/versions.tf | 0 .../modules/elasticache_subnet_group/main.tf | 0 .../elasticache_subnet_group/outputs.tf | 0 .../elasticache_subnet_group/variables.tf | 0 .../elasticache_subnet_group/versions.tf | 0 .../redis/modules/elasticache/outputs.tf | 0 .../redis/modules/elasticache/variables.tf | 4 +- .../redis/modules/elasticache/versions.tf | 0 .../{components => modules}/redis/outputs.tf | 0 .../{components => 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{{cookiecutter.github_repo_name}}/terraform/{components => modules}/redis/modules/elasticache/variables.tf (98%) rename {{cookiecutter.github_repo_name}}/terraform/{components => modules}/redis/modules/elasticache/versions.tf (100%) rename {{cookiecutter.github_repo_name}}/terraform/{components => modules}/redis/outputs.tf (100%) rename {{cookiecutter.github_repo_name}}/terraform/{components => modules}/redis/route53.tf (100%) rename {{cookiecutter.github_repo_name}}/terraform/{components => modules}/redis/variables.tf (99%) rename {{cookiecutter.github_repo_name}}/terraform/{components => modules}/redis/versions.tf (100%) rename {{cookiecutter.github_repo_name}}/terraform/{components/s3 => modules/s3_openedx_storage}/kubernetes.tf (65%) rename {{cookiecutter.github_repo_name}}/terraform/{components/s3 => modules/s3_openedx_storage}/main.tf (96%) rename {{cookiecutter.github_repo_name}}/terraform/{components/s3 => modules/s3_openedx_storage}/outputs.tf (100%) rename {{cookiecutter.github_repo_name}}/terraform/{components/s3 => modules/s3_openedx_storage}/variables.tf (100%) rename {{cookiecutter.github_repo_name}}/terraform/{components/s3 => modules/s3_openedx_storage}/versions.tf (80%) rename {{cookiecutter.github_repo_name}}/terraform/{components => modules}/vpc/README.md (100%) rename {{cookiecutter.github_repo_name}}/terraform/{components => modules}/vpc/main.tf (53%) rename {{cookiecutter.github_repo_name}}/terraform/{components => modules}/vpc/outputs.tf (100%) rename {{cookiecutter.github_repo_name}}/terraform/{components => modules}/vpc/variables.tf (100%) rename {{cookiecutter.github_repo_name}}/terraform/{components => modules}/vpc/versions.tf (100%) diff --git a/.gitignore b/.gitignore index 4c0af394..cdc5b18c 100644 --- a/.gitignore +++ b/.gitignore @@ -2,3 +2,4 @@ .DS_Store .terraform.lock.hcl .terraform +*.out diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index de70ecd6..8226665d 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -6,7 +6,7 @@ repos: rev: v4.1.0 hooks: # See https://pre-commit.com/hooks.html for more hooks - - id: check-added-large-files + #- id: check-added-large-files - id: check-byte-order-marker - id: check-case-conflict - id: check-executables-have-shebangs diff --git a/CHANGELOG.md b/CHANGELOG.md new file mode 100644 index 00000000..85d8fff7 --- /dev/null +++ b/CHANGELOG.md @@ -0,0 +1,43 @@ +# Change Log + +All notable changes to this project will be documented in this file. + +The format is based on [Keep a Changelog](http://keepachangelog.com/) +and this project adheres to [Semantic Versioning](http://semver.org/). + + +## [0.0.4] + +- parameterized deployment yaml manifests with cookiecutter +- refactored VPC and EKS modules based on the current latest version of terraform-aws-modules modules +- upgraded AWS RDS Terraform module to v4 +- added AWS certficates in us-east-1 and the aws region specified in environments/global.hcl +- added new module for Cloudfront distribution and DNS record for 'cdn' subdomain +- added new optional module for EC2 Bastion and DNS record for subdomain +- added version constraint parameters to cookiecutter for all terraform-aws-modules +- added mock outputs to terragrunt scripts to facilitate `run-all` init and validate operations in environments +- added this change log +- resolved deprecation warnings in all modules +- restructured terraform folders +- fixed a bug that was causing multiple SSL/TLS certificates to be created in both us-east-1 as well as the environment region +- added the text 'openedx_devops' to the descriptions of all security groups, IAM roles, and IAM policies resources that are explicitly created by this repository + + +## [0.0.3] - 2022-03-20 + +- added Cookiecutter parameters for environment_subdomain, ci_build_open_edx_version, ci_build_tutor_version, all teraform version constraints +- split environment_name and environment_subdomain +- added Cookiecutter post hook to process selection of EKS Load Balancer configuration +- added scripts to make, test, lint +- more sensible defaults in cookiecutter.json +- expanded README.md documentation +- added git pre-commit +- added AUTHORS.md + +## [0.0.2] - 2022-03-11 + +- Additional documentation + +## [0.0.1] - 2022-03-10 + +Initial release diff --git a/README.rst b/README.rst index 336ede24..18dff19c 100644 --- a/README.rst +++ b/README.rst @@ -47,9 +47,9 @@ Cookiecutter Tutor Open edX Production Devops Tools This repository contains a `Cookiecutter `_ to create a new repository that includes Terraform code for managing your AWS infrastructure, and Github Actions workflows for building and deploying your Open edX applications. Your new repository will deploy a `Tutor `_ Kubernetes-managed production installation of Open edX that will scale automatically, reliably supporting anywhere from a few hundred to as many as several hundred thousand learners. +It provides both `AWS Fargate `_ as well as more traditional EC2 instance computing node options for the EKS Kubernetes cluster. The CI workflows generated by this Cookiecutter create a Tutor build based on the current latest version of Open edX ({{ cookiecutter.ci_build_open_edx_version }}) along with a custom Open edX theme and Open edX plugin, and one sample optional Xblock; all of which can be modified later on. - The Terraform scripts in your new repo will provide a 1-click means of creating / updating / destroying the following for each environment: - LMS at https://courses.yourschool.edu @@ -90,18 +90,39 @@ First, get Cookiecutter. Trust me, it's awesome: $ pip install "cookiecutter>=1.7.0" -Now run it against this repo: +Now run it against this repo, using the following example usage pattern: .. code-block:: shell - $ cookiecutter https://github.com/lpm0073/cookiecutter-openedx-devops - -You'll be prompted for some values. Provide them, then a complete git repository will be created for you, with Github Actions workflows to automate the build and deployment of your Tutor Open edX platform, and Terraform scripts to automate the build of your AWS backend. + GITHUB_REPO="gh:lpm0073/cookiecutter-openedx-devops" + GITHUB_BRANCH="main" + OUTPUT_FOLDER="./" + + cookiecutter --checkout $GITHUB_BRANCH \ + --output-dir $OUTPUT_FOLDER \ + --overwrite-if-exists \ + --no-input \ + $GITHUB_REPO \ + global_platform_name=prod \ + global_platform_region=usa \ + global_aws_region=us-east-1 \ + global_account_id=012345678912 \ + global_root_domain=schoolofrock.edu \ + global_aws_route53_hosted_zone_id=Z123456789ABCDEFGHIJK \ + environment_name=live \ + environment_subdomain=courses \ + kubernetes_cluster_compute_type=EC2 \ + kubernetes_cluster_load_balancer_type=ALB + + +Alternatively, you can run Cookiecutter without providing any prompts, which will result in it generating a questionnaire that includes all of the 75 or so input parameters. You'll be prompted for some values. Provide them, then a complete git repository will be created for you, with Github Actions workflows to automate the build and deployment of your Tutor Open edX platform, and Terraform scripts to automate the build of your AWS backend. Answer the prompts with your own desired options. For example: .. code-block:: shell + $ cookiecutter https://github.com/lpm0073/cookiecutter-openedx-devops + Cloning into 'cookiecutter-openedx-devops'... remote: Counting objects: 550, done. remote: Compressing objects: 100% (310/310), done. @@ -114,50 +135,7 @@ Answer the prompts with your own desired options. For example: global_platform_description [Your School]: global_platform_region [virginia]: global_root_domain [yourschool.edu]: - global_aws_route53_hosted_zone_id [For your root domain. Values look like this: Z0232691KVI7Y7U23HBD]: - global_aws_region [us-east-1]: - global_account_id [123456789012]: - global_ec2_ssh_key_name [any-valid-pem-key-file-name]: - prod_environment [courses]: - ci_build_tutor_version [v13.1.5]: - ci_build_theme_repository [lpm0073/edx-theme-example]: - ci_build_theme_ref [main]: - ci_build_plugin_repository [lpm0073/openedx-plugin-example]: - ci_build_plugin_ref [main]: - ci_build_xblock_org [openedx]: - ci_build_xblock_repository [edx-ora2]: - ci_build_xblock_ref [master]: - ci_deploy_OPENEDX_COMMON_VERSION [open-release/{{ cookiecutter.ci_build_open_edx_version }}]: - mongodb_master_username [root]: - mongodb_db_port [27017]: - mongodb_deletion_protection [False]: - mongodb_engine [docdb]: - mongodb_engine_version [3.6.0]: - mongodb_retention_period [7]: - mongodb_preferred_maintenance_window []: - mongodb_preferred_backup_window [07:00-09:00]: - mongodb_auto_minor_version_upgrade [True]: - mysql_username [root]: - mysql_port [3306]: - mysql_engine [mysql]: - mysql_family [mysql5.7]: - mysql_major_engine_version [5.7]: - mysql_engine_version [5.7.33]: - mysql_allocated_storage [10]: - mysql_create_random_password [true]: - mysql_iam_database_authentication_enabled [False]: - mysql_maintenance_window [Sun:00:00-Sun:03:00]: - mysql_backup_window [03:00-06:00]: - mysql_backup_retention_period [7]: - mysql_deletion_protection [False]: - mysql_skip_final_snapshot [True]: - redis_engine_version [6.x]: - redis_number_cache_clusters [1]: - redis_port [6379]: - redis_family [redis6.x]: - ci_deploy_EMAIL_HOST [email-smtp.us-east-1.amazonaws.com]: - ci_deploy_EMAIL_PORT [587]: - ci_deploy_EMAIL_USE_TLS [True]: + # lots more questions ..... Enter the project and take a look around: @@ -258,7 +236,7 @@ We also recommend that you install `k9s `_, a popular tool f # ------------------------------------- # to manage an individual resource # ------------------------------------- - cd ./terraform/environments/prod/mongodb + cd ./terraform/environments/{{ cookiecutter.environment_name }}/mongodb terragrunt init terragrunt plan terragrunt apply @@ -269,11 +247,11 @@ We also recommend that you install `k9s `_, a popular tool f # ------------------------------------- # 1. create the VPC - cd ./terraform/environments/prod/vpc + cd ./terraform/environments/{{ cookiecutter.environment_name }}/vpc terragrunt apply # 2. create the Elastic Kubernetes Cluster - cd ../eks + cd ../kubernetes terragrunt apply # 3. create everthing else @@ -335,18 +313,18 @@ The Terraform scripts in your new repository will allow you to automatically cre - **Compute Cluster**. uses either `AWS EC2 `_ behind a Classic Load Balancer (the default) or AWS' serverless compute cluster, `Fargate `_ behind an Application Load Balancer. - **Kubernetes**. Uses `AWS Elastic Kubernetes Service `_ to implement a Kubernetes cluster onto which all applications and scheduled jobs are deployed as pods. -- **MySQL**. uses `AWS RDS `_ for all MySQL data, accessible inside the vpc as mysql.courses.yourschool.edu:3306. Instance size settings are located in the `environment configuration file `_, and other common configuration settings `are located here `_. Passwords are stored in `Kubernetes Secrets `_ accessible from the EKS cluster. -- **MongoDB**. uses `AWS DocumentDB `_ for all MongoDB data, accessible insid the vpc as mongodb.master.courses.yourschool.edu:27017 and mongodb.reader.courses.yourschool.edu. Instance size settings are located in the `environment configuration file `_, and other common configuration settings `are located here `_. Passwords are stored in `Kubernetes Secrets `_ accessible from the EKS cluster. -- **Redis**. uses `AWS ElastiCache `_ for all Django application caches, accessible inside the vpc as cache.courses.yourschool.edu. Instance size settings are located in the `environment configuration file `_. This is necessary in order to make the Open edX application layer completely ephemeral. Most importantly, user's login session tokens are persisted in Redis and so these need to be accessible to all app containers from a single Redis cache. Common configuration settings `are located here `_. Passwords are stored in `Kubernetes Secrets `_ accessible from the EKS cluster. -- **Container Registry**. uses this `automated Github Actions workflow <.github/workflows/tutor_build_image.yml>`_ to build your `tutor Open edX container `_ and then register it in `Amazon Elastic Container Registry (Amazon ECR) `_. Uses this `automated Github Actions workflow <.github/workflows/tutor_deploy_prod.yml>`_ to deploy your container to `AWS Amazon Elastic Kubernetes Service (EKS) `_. EKS worker instance size settings are located in the `environment configuration file `_. Note that tutor provides out-of-the-box support for Kubernetes. Terraform leverages Elastic Kubernetes Service to create a Kubernetes cluster onto which all services are deployed. Common configuration settings `are located here `_ -- **User Data**. uses `AWS S3 `_ for storage of user data. This installation makes use of a `Tutor plugin to offload object storage `_ from the Ubuntu file system to AWS S3. It creates a public read-only bucket named of the form courses-yourschool-virginia-storage, with write access provided to edxapp so that app-generated static content like user profile images, xblock-generated file content, application badges, e-commerce pdf receipts, instructor grades downloads and so on will be saved to this bucket. This is not only a necessary step for making your application layer ephemeral but it also facilitates the implementation of a CDN (which Terraform implements for you). Terraform additionally implements a completely separate, more secure S3 bucket for archiving your daily data backups of MySQL and MongoDB. Common configuration settings `are located here `_ -- **CDN**. uses `AWS Cloudfront `_ as a CDN, publicly acccessible as https://cdn.courses.yourschool.edu. Terraform creates Cloudfront distributions for each of your enviornments. These are linked to the respective public-facing S3 Bucket for each environment, and the requisite SSL/TLS ACM-issued certificate is linked. Terraform also automatically creates all Route53 DNS records of form cdn.courses.yourschool.edu. Common configuration settings `are located here `_ -- **Password & Secrets Management** uses `Kubernetes Secrets `_ in the EKS cluster. Open edX software relies on many passwords and keys, collectively referred to in this documentation simply as, "*secrets*". For all back services, including all Open edX applications, system account and root passwords are randomly and strongluy generated during automated deployment and then archived in EKS' secrets repository. This methodology facilitates routine updates to all of your passwords and other secrets, which is good practice these days. Common configuration settings `are located here `_ -- **SSL Certs**. Uses `AWS Certificate Manager `_ and LetsEncrypt. Terraform creates all SSL/TLS certificates. It uses a combination of AWS Certificate Manager (ACM) as well as LetsEncrypt. Additionally, the ACM certificates are stored in two locations: your aws-region as well as in us-east-1 (as is required by AWS CloudFront). Common configuration settings `are located here `_ -- **DNS Management** uses `AWS Route53 `_ hosted zones for DNS management. Terraform expects to find your root domain already present in Route53 as a hosted zone. It will automatically create additional hosted zones, one per environment for production, dev, test and so on. It automatically adds NS records to your root domain hosted zone as necessary to link the zones together. Configuration data exists within several components but the highest-level settings `are located here `_ +- **MySQL**. uses `AWS RDS `_ for all MySQL data, accessible inside the vpc as mysql.courses.yourschool.edu:3306. Instance size settings are located in the `environment configuration file `_, and other common configuration settings `are located here `_. Passwords are stored in `Kubernetes Secrets `_ accessible from the EKS cluster. +- **MongoDB**. uses `AWS DocumentDB `_ for all MongoDB data, accessible insid the vpc as mongodb.master.courses.yourschool.edu:27017 and mongodb.reader.courses.yourschool.edu. Instance size settings are located in the `environment configuration file `_, and other common configuration settings `are located here `_. Passwords are stored in `Kubernetes Secrets `_ accessible from the EKS cluster. +- **Redis**. uses `AWS ElastiCache `_ for all Django application caches, accessible inside the vpc as cache.courses.yourschool.edu. Instance size settings are located in the `environment configuration file `_. This is necessary in order to make the Open edX application layer completely ephemeral. Most importantly, user's login session tokens are persisted in Redis and so these need to be accessible to all app containers from a single Redis cache. Common configuration settings `are located here `_. Passwords are stored in `Kubernetes Secrets `_ accessible from the EKS cluster. +- **Container Registry**. uses this `automated Github Actions workflow <.github/workflows/tutor_build_image.yml>`_ to build your `tutor Open edX container `_ and then register it in `Amazon Elastic Container Registry (Amazon ECR) `_. Uses this `automated Github Actions workflow <.github/workflows/tutor_deploy_prod.yml>`_ to deploy your container to `AWS Amazon Elastic Kubernetes Service (EKS) `_. EKS worker instance size settings are located in the `environment configuration file `_. Note that tutor provides out-of-the-box support for Kubernetes. Terraform leverages Elastic Kubernetes Service to create a Kubernetes cluster onto which all services are deployed. Common configuration settings `are located here `_ +- **User Data**. uses `AWS S3 `_ for storage of user data. This installation makes use of a `Tutor plugin to offload object storage `_ from the Ubuntu file system to AWS S3. It creates a public read-only bucket named of the form courses-yourschool-virginia-storage, with write access provided to edxapp so that app-generated static content like user profile images, xblock-generated file content, application badges, e-commerce pdf receipts, instructor grades downloads and so on will be saved to this bucket. This is not only a necessary step for making your application layer ephemeral but it also facilitates the implementation of a CDN (which Terraform implements for you). Terraform additionally implements a completely separate, more secure S3 bucket for archiving your daily data backups of MySQL and MongoDB. Common configuration settings `are located here `_ +- **CDN**. uses `AWS Cloudfront `_ as a CDN, publicly acccessible as https://cdn.courses.yourschool.edu. Terraform creates Cloudfront distributions for each of your enviornments. These are linked to the respective public-facing S3 Bucket for each environment, and the requisite SSL/TLS ACM-issued certificate is linked. Terraform also automatically creates all Route53 DNS records of form cdn.courses.yourschool.edu. Common configuration settings `are located here `_ +- **Password & Secrets Management** uses `Kubernetes Secrets `_ in the EKS cluster. Open edX software relies on many passwords and keys, collectively referred to in this documentation simply as, "*secrets*". For all back services, including all Open edX applications, system account and root passwords are randomly and strongluy generated during automated deployment and then archived in EKS' secrets repository. This methodology facilitates routine updates to all of your passwords and other secrets, which is good practice these days. Common configuration settings `are located here `_ +- **SSL Certs**. Uses `AWS Certificate Manager `_ and LetsEncrypt. Terraform creates all SSL/TLS certificates. It uses a combination of AWS Certificate Manager (ACM) as well as LetsEncrypt. Additionally, the ACM certificates are stored in two locations: your aws-region as well as in us-east-1 (as is required by AWS CloudFront). Common configuration settings `are located here `_ +- **DNS Management** uses `AWS Route53 `_ hosted zones for DNS management. Terraform expects to find your root domain already present in Route53 as a hosted zone. It will automatically create additional hosted zones, one per environment for production, dev, test and so on. It automatically adds NS records to your root domain hosted zone as necessary to link the zones together. Configuration data exists within several modules but the highest-level settings `are located here `_ - **System Access** uses `AWS Identity and Access Management (IAM) `_ to manage all system users and roles. Terraform will create several user accounts with custom roles, one or more per service. -- **Network Design**. uses `Amazon Virtual Private Cloud (Amazon VPC) `_ based on the AWS account number provided in the `global configuration file `_ to take a top-down approach to compartmentalize all cloud resources and to customize the operating enviroment for your Open edX resources. Terraform will create a new virtual private cloud into which all resource will be provisioned. It creates a sensible arrangment of private and public subnets, network security settings and security groups. See additional VPC documentation `here `_ -- **Proxy Access to Backend Services**. uses an `Amazon EC2 `_ t2.micro Ubuntu instance publicly accessible via ssh as bastion.courses.yourschool.edu:22 using the ssh key specified in the `global configuration file `_. For security as well as performance reasons all backend services like MySQL, Mongo, Redis and the Kubernetes cluster are deployed into their own private subnets, meaning that none of these are publicly accessible. See additional Bastion documentation `here `_. Terraform creates a t2.micro EC2 instance to which you can connect via ssh. In turn you can connect to services like MySQL via the bastion. Common configuration settings `are located here `_. Note that if you are cost conscious then you could alternatively use `AWS Cloud9 `_ to gain access to all backend services. +- **Network Design**. uses `Amazon Virtual Private Cloud (Amazon VPC) `_ based on the AWS account number provided in the `global configuration file `_ to take a top-down approach to compartmentalize all cloud resources and to customize the operating enviroment for your Open edX resources. Terraform will create a new virtual private cloud into which all resource will be provisioned. It creates a sensible arrangment of private and public subnets, network security settings and security groups. See additional VPC documentation `here `_ +- **Proxy Access to Backend Services**. uses an `Amazon EC2 `_ t2.micro Ubuntu instance publicly accessible via ssh as bastion.courses.yourschool.edu:22 using the ssh key specified in the `global configuration file `_. For security as well as performance reasons all backend services like MySQL, Mongo, Redis and the Kubernetes cluster are deployed into their own private subnets, meaning that none of these are publicly accessible. See additional Bastion documentation `here `_. Terraform creates a t2.micro EC2 instance to which you can connect via ssh. In turn you can connect to services like MySQL via the bastion. Common configuration settings `are located here `_. Note that if you are cost conscious then you could alternatively use `AWS Cloud9 `_ to gain access to all backend services. FAQ --- @@ -385,7 +363,7 @@ Behind the scenes Kubernetes (EKS in our case) uses an EC2 Elastic Load Balancer Why Use Terraform? ~~~~~~~~~~~~~~~~~~ -`Terraform `_ allows you to manage the entire lifecycle of your AWS cloud infrastructure using `infrastructure as code (IAC) `_. That means declaring infrastructure components in configuration files that are then used by Terraform to provision, adjust and tear down your AWS cloud infrastructure. There are tangential benefits to using IAC. +`Terraform `_ allows you to manage the entire lifecycle of your AWS cloud infrastructure using `infrastructure as code (IAC) `_. That means declaring infrastructure resources in configuration files that are then used by Terraform to provision, adjust and tear down your AWS cloud infrastructure. There are tangential benefits to using IAC. 1. **Maintain all of your backend configuration data in a single location**. This allows you to take a more holistic, top-down approach to planning and managing your backend resources, which leads to more reliable service for your users. 2. **Leverage git**. This is a big deal! Managing your backend as IAC means you can track individual changes to your configuration over time. More importantly, it means you can reverse backend configuration changes that didn't go as planned. @@ -430,8 +408,10 @@ Special thanks go out to several folks in the open source community who've alrea - to `RĂ©gis Behmo `_ for creating Tutor, where the real magic happens. Without Tutor you wouldn't be reading this right now. - to `Miguel Afonso `_, who architected the Kubernetes-based deployment of Open edX and wrote nearly all of the early versions of the CI and Terraform code. +- to `Anton Putra `_ for his great techical how-to articles on using ALB with EKS. - to `Harshet Jain `_ for publishing a `great article `_ on how to implement an AWS Elastic Kubernetes Fargate Cluster. - to the guys at `hastexo/tutor-contrib-s3 `_, who lead the effort to create a version of their AWS S3 plugin that works with this code base. +- to the guys at `U.S. General Services Administration `_ for open-sourcing their `ALB Ingress Controller installer `_. - to the guys at `Cookiecutter Django `_ on which I relied heavily for coding examples for this project. - to `Querium Corp `_, who generously allowed me to open-source this repository. - to **UK Cabinet Office**, who created and still use the original version of this code base to manage their production Open edX environment. diff --git a/cookiecutter.json b/cookiecutter.json index e95a72a8..1556ae66 100644 --- a/cookiecutter.json +++ b/cookiecutter.json @@ -3,6 +3,7 @@ "github_repo_name": "openedx_devops", "environment_name": "prod", "environment_subdomain": "courses", + "environment_add_bastion": ["N", "Y"], "global_platform_name": "yourschool", "global_platform_description": "Your School", "global_platform_region": "usa_east", @@ -21,21 +22,23 @@ "ci_build_xblock_repository": "edx-ora2", "ci_build_xblock_ref": "master", "ci_deploy_OPENEDX_COMMON_VERSION": "open-release/{{ cookiecutter.ci_build_open_edx_version }}", + "ci_deploy_hastexo_tutor_contrib_s3_version": "v0.2.0", "ci_deploy_EMAIL_HOST": "email-smtp.{{ cookiecutter.global_aws_region|lower|replace(' ', '-') }}.amazonaws.com", "ci_deploy_EMAIL_PORT": 587, - "ci_deploy_EMAIL_USE_TLS": true, - "eks_cluster_version": "1.21", - "eks_cluster_compute_type": ["CLB_EC2"], - "eks_cluster_alb_ingress_controller_version": "v2.4.1", + "ci_deploy_EMAIL_USE_TLS": "true", + "kubernetes_cluster_version": "1.21", + "kubernetes_cluster_compute_type": ["EC2", "Fargate"], + "kubernetes_cluster_load_balancer_type": ["ALB", "CLB"], + "kubernetes_cluster_ingress_controller_version": "v2.4.1", "mongodb_master_username": "root", "mongodb_db_port": 27017, - "mongodb_deletion_protection": false, + "mongodb_deletion_protection": "false", "mongodb_engine": "docdb", "mongodb_engine_version": "3.6.0", "mongodb_retention_period": 7, "mongodb_preferred_maintenance_window": "", "mongodb_preferred_backup_window": "07:00-09:00", - "mongodb_auto_minor_version_upgrade": true, + "mongodb_auto_minor_version_upgrade": "true", "mysql_username": "root", "mysql_port": 3306, "mysql_engine": "mysql", @@ -44,18 +47,30 @@ "mysql_engine_version": "5.7.33", "mysql_allocated_storage": 10, "mysql_create_random_password": "true", - "mysql_iam_database_authentication_enabled": false, + "mysql_iam_database_authentication_enabled": "false", "mysql_maintenance_window": "Sun:00:00-Sun:03:00", "mysql_backup_window": "03:00-06:00", "mysql_backup_retention_period": 7, - "mysql_deletion_protection": false, - "mysql_skip_final_snapshot": true, + "mysql_deletion_protection": "false", + "mysql_skip_final_snapshot": "true", "redis_engine_version": "6.x", - "redis_number_cache_clusters": 1, + "redis_num_cache_clusters": 1, "redis_port": 6379, "redis_family": "redis6.x", "terraform_required_version": "~> 1.1", - "terraform_provider_kubernetes_version": "~> 2.8", + "terraform_aws_modules_acm": "~> 3.4", + "terraform_aws_modules_cloudfront": "~> 2.9", + "terraform_aws_modules_eks": "~> 18.15", + "terraform_aws_modules_iam": "~> 4.14", + "terraform_aws_modules_rds": "~> 4.2.0", + "terraform_aws_modules_s3": "~> 3.0", + "terraform_aws_modules_sg": "~> 4.9", + "terraform_aws_modules_vpc": "~> 3.13", + "terraform_helm_ingress_nginx": "~> 4", + "terraform_helm_cert_manager": "v1.7.1", + "terraform_helm_alb_controller_chart_version": "1.4.1", + "terraform_helm_aws_efs_csi_driver_version": "1.3.6", + "terraform_provider_kubernetes_version": "~> 2.9", "terraform_provider_hashicorp_aws_version": "~> 4.6", "terraform_provider_hashicorp_helm_version": "~> 2.4", "terraform_provider_hashicorp_local_version": "~> 2.2", diff --git a/hooks/post_gen_project.py b/hooks/post_gen_project.py index 1ae9e832..9fec33a3 100644 --- a/hooks/post_gen_project.py +++ b/hooks/post_gen_project.py @@ -11,73 +11,18 @@ HINT = "\x1b[3;33m" SUCCESS = "\x1b[1;32m [SUCCESS]: " +def remove_bastion(): + module_dir_path = os.path.join("terraform", "modules", "ec2_bastion") + if os.path.exists(module_dir_path): + shutil.rmtree(module_dir_path) -def remove_eks_clb_ec2_files(): - component_dir_path = os.path.join("terraform", "components", "eks_clb_ec2") - if os.path.exists(component_dir_path): - shutil.rmtree(component_dir_path) - - terragrunt_dir_path = os.path.join("terraform", "environments", "{{ cookiecutter.environment_name }}", "eks_clb_ec2") - if os.path.exists(terragrunt_dir_path): - shutil.rmtree(terragrunt_dir_path) - - ci_dir_path = os.path.join("ci", "tutor-deploy", "environments", "{{ cookiecutter.environment_name }}", "k8s", "eks_clb_ec2") - if os.path.exists(ci_dir_path): - shutil.rmtree(ci_dir_path) - -def remove_eks_alb_ec2_files(): - component_dir_path = os.path.join("terraform", "components", "eks_alb_ec2") - if os.path.exists(component_dir_path): - shutil.rmtree(component_dir_path) - - terragrunt_dir_path = os.path.join("terraform", "environments", "{{ cookiecutter.environment_name }}", "eks_alb_ec2") - if os.path.exists(terragrunt_dir_path): - shutil.rmtree(terragrunt_dir_path) - - ci_dir_path = os.path.join("ci", "tutor-deploy", "environments", "{{ cookiecutter.environment_name }}", "k8s", "eks_alb_ec2") - if os.path.exists(ci_dir_path): - shutil.rmtree(ci_dir_path) - -def remove_eks_abl_fargate_files(): - component_dir_path = os.path.join("terraform", "components", "eks_alb_fargate") - if os.path.exists(component_dir_path): - shutil.rmtree(component_dir_path) - - terragrunt_dir_path = os.path.join("terraform", "environments", "{{ cookiecutter.environment_name }}", "eks_alb_fargate") + terragrunt_dir_path = os.path.join("terraform", "environments", "{{ cookiecutter.environment_name }}", "ec2_bastion") if os.path.exists(terragrunt_dir_path): shutil.rmtree(terragrunt_dir_path) - ci_dir_path = os.path.join("ci", "tutor-deploy", "environments", "{{ cookiecutter.environment_name }}", "k8s", "eks_alb_fargate") - if os.path.exists(ci_dir_path): - shutil.rmtree(ci_dir_path) - -# move kubernetes manifests into the k8s folder and remove the original source folder. -def move_manifests(folder = ""): - source = os.path.join("ci", "tutor-deploy", "environments", "{{ cookiecutter.environment_name }}", "k8s", folder) - destination = os.path.join("ci", "tutor-deploy", "environments", "{{ cookiecutter.environment_name }}", "k8s") - src_files = os.listdir(source) - for file_name in src_files: - full_file_name = os.path.join(source, file_name) - if os.path.isfile(full_file_name): - shutil.copy(full_file_name, destination) - shutil.rmtree(source) - def main(): - - if "{{ cookiecutter.eks_cluster_compute_type }}" == "CLB_EC2": - remove_eks_abl_fargate_files() - remove_eks_alb_ec2_files() - move_manifests("eks_clb_ec2") - - if "{{ cookiecutter.eks_cluster_compute_type }}" == "ALB_EC2": - remove_eks_abl_fargate_files() - remove_eks_clb_ec2_files() - move_manifests("eks_alb_ec2") - - if "{{ cookiecutter.eks_cluster_compute_type }}" == "ALB_Fargate": - remove_eks_clb_ec2_files() - remove_eks_alb_ec2_files() - move_manifests("eks_alb_fargate") + if "{{ cookiecutter.environment_add_bastion }}".upper() != "Y": + remove_bastion() print(SUCCESS + "Your Open edX devops repo has been initialized." + TERMINATOR) diff --git a/tests/test.sh b/tests/test.sh index 8660c902..4e1a0410 100755 --- a/tests/test.sh +++ b/tests/test.sh @@ -10,7 +10,7 @@ #------------------------------------------------------------------------------ GITHUB_REPO="gh:lpm0073/cookiecutter-openedx-devops" -GITHUB_BRANCH="eks-fargate" +GITHUB_BRANCH="eks_alb" OUTPUT_FOLDER="/Users/mcdaniel/cookiecutter/" cookiecutter --checkout $GITHUB_BRANCH \ @@ -18,11 +18,15 @@ cookiecutter --checkout $GITHUB_BRANCH \ --overwrite-if-exists \ --no-input \ $GITHUB_REPO \ - global_platform_name=sandbox \ - global_platform_region=ohio \ + global_platform_name=stepwisemath \ + global_platform_region=mexico \ global_aws_region=us-east-2 \ global_account_id=320713933456 \ global_root_domain=stepwisemath.ai \ - global_aws_route53_hosted_zone_id=Z049210026A5G6XHV84CF \ - environment_name=fargate \ - environment_subdomain=fargate + global_aws_route53_hosted_zone_id=Z0232691KVI7Y7U23HBD \ + global_ec2_ssh_key_name=stepwisemath-ohio \ + environment_name=prod \ + environment_add_bastion=N \ + environment_subdomain=web \ + kubernetes_cluster_compute_type=Fargate \ + kubernetes_cluster_load_balancer_type=ALB diff --git a/{{cookiecutter.github_repo_name}}/.github/workflows/tutor_deploy_prod.yml b/{{cookiecutter.github_repo_name}}/.github/workflows/tutor_deploy_{{cookiecutter.environment_name}}.yml similarity index 95% rename from {{cookiecutter.github_repo_name}}/.github/workflows/tutor_deploy_prod.yml rename to {{cookiecutter.github_repo_name}}/.github/workflows/tutor_deploy_{{cookiecutter.environment_name}}.yml index 476fca4d..dc0fad64 100644 --- a/{{cookiecutter.github_repo_name}}/.github/workflows/tutor_deploy_prod.yml +++ b/{{cookiecutter.github_repo_name}}/.github/workflows/tutor_deploy_{{cookiecutter.environment_name}}.yml @@ -16,7 +16,7 @@ # 7. use Tutor to startup the edxapp platform # 8. initialize Kubernetes, and then let it take over #------------------------------------------------------------------------------ -name: Tutor Deploy Prod +name: Tutor Deploy {{ cookiecutter.environment_name }} on: [workflow_dispatch] @@ -25,8 +25,8 @@ jobs: runs-on: ubuntu-20.04 env: KUBECONFIG: /home/runner/.kube/config - ENVIRONMENT_ID: prod - NAMESPACE: {{ cookiecutter.environment_name }}-{{ cookiecutter.global_platform_name }}-{{ cookiecutter.global_platform_region }} + ENVIRONMENT_ID: {{ cookiecutter.environment_name }} + NAMESPACE: openedx TUTOR_VERSION: {{ cookiecutter.ci_build_tutor_version }} OPENEDX_COMMON_VERSION: {{ cookiecutter.ci_deploy_OPENEDX_COMMON_VERSION }} @@ -44,7 +44,7 @@ jobs: aws-region: {{ cookiecutter.global_aws_region }} - name: Get Kube config - run: aws eks --region {{ cookiecutter.global_aws_region }} update-kubeconfig --name {{ cookiecutter.environment_name }}-{{ cookiecutter.global_platform_name }}-{{ cookiecutter.global_platform_region }} --alias eks-prod + run: aws eks --region {{ cookiecutter.global_aws_region }} update-kubeconfig --name {{ cookiecutter.environment_name }}-{{ cookiecutter.global_platform_name }}-{{ cookiecutter.global_platform_region }} --alias eks-{{ cookiecutter.environment_name }} - name: Install kubectl uses: azure/setup-kubectl@v1 @@ -67,13 +67,13 @@ jobs: run: |- echo "OPENEDX_COMMON_VERSION=$OPENEDX_COMMON_VERSION" >> $GITHUB_ENV - # see: https://github.com/{{ cookiecutter.github_account_name }}/terraform-openedx/tree/main/ci/tutor-deploy/environments/prod/jwt + # see: https://github.com/{{ cookiecutter.github_account_name }}/terraform-openedx/tree/main/ci/tutor-deploy/environments/{{ cookiecutter.environment_name }}/jwt - name: Fetch JWT token run: |- ### Fetch secrets from Kubernetes into Environment kubectl get secret jwt -n $NAMESPACE -o json | jq '.data| map_values(@base64d)' | jq -r 'keys[] as $k | "\(.[$k])"' > jwt_private_key - # see: https://github.com/{{ cookiecutter.github_account_name }}/terraform-openedx/tree/main/ci/tutor-deploy/environments/prod/rds + # see: https://github.com/{{ cookiecutter.github_account_name }}/terraform-openedx/tree/main/ci/tutor-deploy/environments/{{ cookiecutter.environment_name }}/rds - name: MySQL run: |- echo "TUTOR_RUN_MYSQL=false" >> $GITHUB_ENV @@ -85,7 +85,7 @@ jobs: echo "TUTOR_RUN_MONGODB=false" >> $GITHUB_ENV kubectl get secret mongodb-admin -n $NAMESPACE -o json | jq '.data | map_values(@base64d)' | jq -r 'keys[] as $k | "TUTOR_\($k|ascii_upcase)=\(.[$k])"' >> $GITHUB_ENV - # see: https://github.com/{{ cookiecutter.github_account_name }}/terraform-openedx/tree/main/ci/tutor-deploy/environments/prod/redis + # see: https://github.com/{{ cookiecutter.github_account_name }}/terraform-openedx/tree/main/ci/tutor-deploy/environments/{{ cookiecutter.environment_name }}/redis - name: Redis run: |- echo "TUTOR_RUN_REDIS=false" >> $GITHUB_ENV @@ -116,7 +116,7 @@ jobs: cat ci/tutor-deploy/environments/$ENVIRONMENT_ID/config.yml >> $GITHUB_ENV # note that values like $LMS_HOSTNAME come from this repo - # in /ci/tutor-deploy/environments/prod/config.yml + # in /ci/tutor-deploy/environments/{{ cookiecutter.environment_name }}/config.yml - name: Load additional environment specific settings (computed) run: |- # We don't want to run these services as we are using the Kubernetes ingress instead. @@ -129,7 +129,7 @@ jobs: echo "TUTOR_RUN_NGINX=false" >> $GITHUB_ENV # note that the Kubernetes additional config data is locally - # stored in ci/tutor-deploy/environments/prod/k8s/ + # stored in ci/tutor-deploy/environments/{{ cookiecutter.environment_name }}/k8s/ - name: Create Kubernetes add-on resources run: |- # Create kubernetes ingress and other environment resources @@ -192,7 +192,7 @@ jobs: cat $TUTOR_ROOT/config.yml # in this step we're combining our custom configuration data - # from ci/tutor-deploy/environments/prod/settings_merge.json with the default + # from ci/tutor-deploy/environments/{{ cookiecutter.environment_name }}/settings_merge.json with the default # config that was created when we built the openedx docker image with tutor - name: Patch Generated Configuration (Static) run: |- diff --git a/{{cookiecutter.github_repo_name}}/README.rst b/{{cookiecutter.github_repo_name}}/README.rst index 5e59a2e2..c67bed03 100644 --- a/{{cookiecutter.github_repo_name}}/README.rst +++ b/{{cookiecutter.github_repo_name}}/README.rst @@ -85,16 +85,40 @@ This repository was generated using `Cookiecutter `_ - {{ cookiecutter.ci_build_tutor_version }} + * - `Tutor Plugin: Object storage for Open edX with S3 `_ + - {{ cookiecutter.ci_deploy_hastexo_tutor_contrib_s3_version }} * - `Kubernetes Cluster `_ - - {{ cookiecutter.eks_cluster_version }} + - {{ cookiecutter.kubernetes_cluster_version }} * - Kubernetes `amazon/aws-alb-ingress-controller `_ - - {{ cookiecutter.eks_cluster_alb_ingress_controller_version }} + - {{ cookiecutter.kubernetes_cluster_ingress_controller_version }} * - `Terraform `_ - {{ cookiecutter.terraform_required_version }} + * - `terraform-aws-modules/acm `_ + - {{ cookiecutter.terraform_aws_modules_acm }} + * - `terraform-aws-modules/cloudfront `_ + - {{ cookiecutter.terraform_aws_modules_cloudfront }} + * - `terraform-aws-modules/eks `_ + - {{ cookiecutter.terraform_aws_modules_eks }} + * - `terraform-aws-modules/iam `_ + - {{ cookiecutter.terraform_aws_modules_iam }} + * - `terraform-aws-modules/rds `_ + - {{ cookiecutter.terraform_aws_modules_rds }} + * - `terraform-aws-modules/s3-bucket `_ + - {{ cookiecutter.terraform_aws_modules_s3 }} + * - `terraform-aws-modules/security-group `_ + - {{ cookiecutter.terraform_aws_modules_sg }} + * - `terraform-aws-modules/vpc `_ + - {{ cookiecutter.terraform_aws_modules_vpc }} + * - Terraform `Helm ingress-alb-controller `_ + - {{ cookiecutter.terraform_helm_alb_controller_chart_version }} + * - Terraform `Helm cert-manager `_ + - {{ cookiecutter.terraform_helm_cert_manager }} * - Terraform `Kubernetes Provider `_ - {{ cookiecutter.terraform_provider_kubernetes_version }} * - Terraform `AWS Provider `_ - {{ cookiecutter.terraform_provider_hashicorp_aws_version }} + * - Terraform `Helm Provider `_ + - {{ cookiecutter.terraform_provider_hashicorp_helm_version }} * - Terraform `Local Provider `_ - {{ cookiecutter.terraform_provider_hashicorp_local_version }} * - Terraform `Random Provider `_ @@ -110,7 +134,7 @@ Important Considerations - the Github Actions workflows depend on secrets `located here (see 'secrets/actions' from the left menu bar) `_ - the Github Actions use an AWS IAM key pair from `this manually-created user named *ci* `_ - the collection of resources created by these scripts **will generate AWS costs of around $0.41 USD per hour ($10.00 USD per day)** while the platform is in a mostly-idle pre-production state. This cost will grow proportionally to your production work loads. You can view your `AWS Billing dashboard here `_ -- **BE ADVISED** that `MySQL RDS `_, `MongoDB `_ and `Redis ElastiCache `_ are vertically scaled **manually** and therefore require some insight and potential adjustments on your part. All of these services are defaulted to their minimum instance sizes which you can modify in the `environment configuration file `_ +- **BE ADVISED** that `MySQL RDS `_, `MongoDB `_ and `Redis ElastiCache `_ are vertically scaled **manually** and therefore require some insight and potential adjustments on your part. All of these services are defaulted to their minimum instance sizes which you can modify in the `environment configuration file `_ Quick Start ----------- @@ -142,7 +166,7 @@ Set your `global parameters `_ } -Set your `production environment parameters `_ +Set your `production environment parameters `_ .. code-block:: hcl @@ -184,29 +208,25 @@ We also recommend that you install `k9s `_, a popular tool f .. code-block:: shell # ------------------------------------- - # to manage an individual resource + # to build the entire backend # ------------------------------------- - cd ./terraform/environments/prod/mongodb - terragrunt init - terragrunt plan - terragrunt apply - terragrunt destroy + cd ./terraform/environments/{{ cookiecutter.environment_name }}/vpc + terragrunt run-all init + terragrunt run-all apply # ------------------------------------- - # to build the entire backend + # or, to manage an individual resource # ------------------------------------- - - # 1. create the VPC - cd ./terraform/environments/prod/vpc + cd ./terraform/environments/{{ cookiecutter.environment_name }}/mongodb + terragrunt init + terragrunt validate + terragrunt plan terragrunt apply + terragrunt destroy - # 2. create the Elastic Kubernetes Cluster - cd ../eks - terragrunt apply - - # 3. create everthing else - cd .. - terragrunt run-all apply +.. image:: doc/terragrunt-init.png + :width: 900 + :alt: terragrunt run-all init IV. Connect To Your backend Services @@ -250,7 +270,7 @@ II. Deploy your Docker Image to a Kubernetes Cluster ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Use `this automated Github Actions workflow `_ to deploy your customized Docker container to a Kubernetes Cluster. -Open edX LMS and Studio configuration parameters are located `here `_. +Open edX LMS and Studio configuration parameters are located `here `_. About The Open edX Platform Back End @@ -265,18 +285,63 @@ These scripts will create the following resources in your AWS account: - **Compute Cluster**. uses either `AWS EC2 `_ behind a Classic Load Balancer (the default) or AWS' serverless compute cluster, `Fargate `_ behind an Application Load Balancer. - **Kubernetes**. Uses `AWS Elastic Kubernetes Service `_ to implement a Kubernetes cluster onto which all applications and scheduled jobs are deployed as pods. -- **MySQL**. uses `AWS RDS `_ for all MySQL data, accessible inside the vpc as mysql.{{ cookiecutter.environment_subdomain }}.{{ cookiecutter.global_root_domain }}:3306. Instance size settings are located in the `environment configuration file `_, and other common configuration settings `are located here `_. Passwords are stored in `Kubernetes Secrets `_ accessible from the EKS cluster. -- **MongoDB**. uses `AWS DocumentDB `_ for all MongoDB data, accessible insid the vpc as mongodb.master.{{ cookiecutter.environment_subdomain }}.{{ cookiecutter.global_root_domain }}:27017 and mongodb.reader.{{ cookiecutter.environment_subdomain }}.{{ cookiecutter.global_root_domain }}. Instance size settings are located in the `environment configuration file `_, and other common configuration settings `are located here `_. Passwords are stored in `Kubernetes Secrets `_ accessible from the EKS cluster. -- **Redis**. uses `AWS ElastiCache `_ for all Django application caches, accessible inside the vpc as cache.{{ cookiecutter.environment_subdomain }}.{{ cookiecutter.global_root_domain }}. Instance size settings are located in the `environment configuration file `_. This is necessary in order to make the Open edX application layer completely ephemeral. Most importantly, user's login session tokens are persisted in Redis and so these need to be accessible to all app containers from a single Redis cache. Common configuration settings `are located here `_. Passwords are stored in `Kubernetes Secrets `_ accessible from the EKS cluster. -- **Container Registry**. uses this `automated Github Actions workflow <.github/workflows/tutor_build_image.yml>`_ to build your `tutor Open edX container `_ and then register it in `Amazon Elastic Container Registry (Amazon ECR) `_. Uses this `automated Github Actions workflow <.github/workflows/tutor_deploy_prod.yml>`_ to deploy your container to `AWS Amazon Elastic Kubernetes Service (EKS) `_. EKS worker instance size settings are located in the `environment configuration file `_. Note that tutor provides out-of-the-box support for Kubernetes. Terraform leverages Elastic Kubernetes Service to create a Kubernetes cluster onto which all services are deployed. Common configuration settings `are located here `_ -- **User Data**. uses `AWS S3 `_ for storage of user data. This installation makes use of a `Tutor plugin to offload object storage `_ from the Ubuntu file system to AWS S3. It creates a public read-only bucket named of the form {{ cookiecutter.environment_name }}-{{ cookiecutter.global_platform_name }}-{{ cookiecutter.global_platform_region }}-storage, with write access provided to edxapp so that app-generated static content like user profile images, xblock-generated file content, application badges, e-commerce pdf receipts, instructor grades downloads and so on will be saved to this bucket. This is not only a necessary step for making your application layer ephemeral but it also facilitates the implementation of a CDN (which Terraform implements for you). Terraform additionally implements a completely separate, more secure S3 bucket for archiving your daily data backups of MySQL and MongoDB. Common configuration settings `are located here `_ -- **CDN**. uses `AWS Cloudfront `_ as a CDN, publicly acccessible as https://cdn.{{ cookiecutter.environment_subdomain }}.{{ cookiecutter.global_root_domain }}. Terraform creates Cloudfront distributions for each of your enviornments. These are linked to the respective public-facing S3 Bucket for each environment, and the requisite SSL/TLS ACM-issued certificate is linked. Terraform also automatically creates all Route53 DNS records of form cdn.{{ cookiecutter.environment_subdomain }}.{{ cookiecutter.global_root_domain }}. Common configuration settings `are located here `_ -- **Password & Secrets Management** uses `Kubernetes Secrets `_ in the EKS cluster. Open edX software relies on many passwords and keys, collectively referred to in this documentation simply as, "*secrets*". For all back services, including all Open edX applications, system account and root passwords are randomly and strongluy generated during automated deployment and then archived in EKS' secrets repository. This methodology facilitates routine updates to all of your passwords and other secrets, which is good practice these days. Common configuration settings `are located here `_ -- **SSL Certs**. Uses `AWS Certificate Manager `_ and LetsEncrypt. Terraform creates all SSL/TLS certificates. It uses a combination of AWS Certificate Manager (ACM) as well as LetsEncrypt. Additionally, the ACM certificates are stored in two locations: your aws-region as well as in us-east-1 (as is required by AWS CloudFront). Common configuration settings `are located here `_ -- **DNS Management** uses `AWS Route53 `_ hosted zones for DNS management. Terraform expects to find your root domain already present in Route53 as a hosted zone. It will automatically create additional hosted zones, one per environment for production, dev, test and so on. It automatically adds NS records to your root domain hosted zone as necessary to link the zones together. Configuration data exists within several components but the highest-level settings `are located here `_ +- **MySQL**. uses `AWS RDS `_ for all MySQL data, accessible inside the vpc as mysql.{{ cookiecutter.environment_subdomain }}.{{ cookiecutter.global_root_domain }}:3306. Instance size settings are located in the `environment configuration file `_, and other common configuration settings `are located here `_. Passwords are stored in `Kubernetes Secrets `_ accessible from the EKS cluster. +- **MongoDB**. uses `AWS DocumentDB `_ for all MongoDB data, accessible insid the vpc as mongodb.master.{{ cookiecutter.environment_subdomain }}.{{ cookiecutter.global_root_domain }}:27017 and mongodb.reader.{{ cookiecutter.environment_subdomain }}.{{ cookiecutter.global_root_domain }}. Instance size settings are located in the `environment configuration file `_, and other common configuration settings `are located here `_. Passwords are stored in `Kubernetes Secrets `_ accessible from the EKS cluster. +- **Redis**. uses `AWS ElastiCache `_ for all Django application caches, accessible inside the vpc as cache.{{ cookiecutter.environment_subdomain }}.{{ cookiecutter.global_root_domain }}. Instance size settings are located in the `environment configuration file `_. This is necessary in order to make the Open edX application layer completely ephemeral. Most importantly, user's login session tokens are persisted in Redis and so these need to be accessible to all app containers from a single Redis cache. Common configuration settings `are located here `_. Passwords are stored in `Kubernetes Secrets `_ accessible from the EKS cluster. +- **Container Registry**. uses this `automated Github Actions workflow <.github/workflows/tutor_build_image.yml>`_ to build your `tutor Open edX container `_ and then register it in `Amazon Elastic Container Registry (Amazon ECR) `_. Uses this `automated Github Actions workflow <.github/workflows/tutor_deploy_prod.yml>`_ to deploy your container to `AWS Amazon Elastic Kubernetes Service (EKS) `_. EKS worker instance size settings are located in the `environment configuration file `_. Note that tutor provides out-of-the-box support for Kubernetes. Terraform leverages Elastic Kubernetes Service to create a Kubernetes cluster onto which all services are deployed. Common configuration settings `are located here `_ +- **User Data**. uses `AWS S3 `_ for storage of user data. This installation makes use of a `Tutor plugin to offload object storage `_ from the Ubuntu file system to AWS S3. It creates a public read-only bucket named of the form {{ cookiecutter.environment_name }}-{{ cookiecutter.global_platform_name }}-{{ cookiecutter.global_platform_region }}-storage, with write access provided to edxapp so that app-generated static content like user profile images, xblock-generated file content, application badges, e-commerce pdf receipts, instructor grades downloads and so on will be saved to this bucket. This is not only a necessary step for making your application layer ephemeral but it also facilitates the implementation of a CDN (which Terraform implements for you). Terraform additionally implements a completely separate, more secure S3 bucket for archiving your daily data backups of MySQL and MongoDB. Common configuration settings `are located here `_ +- **CDN**. uses `AWS Cloudfront `_ as a CDN, publicly acccessible as https://cdn.{{ cookiecutter.environment_subdomain }}.{{ cookiecutter.global_root_domain }}. Terraform creates Cloudfront distributions for each of your enviornments. These are linked to the respective public-facing S3 Bucket for each environment, and the requisite SSL/TLS ACM-issued certificate is linked. Terraform also automatically creates all Route53 DNS records of form cdn.{{ cookiecutter.environment_subdomain }}.{{ cookiecutter.global_root_domain }}. Common configuration settings `are located here `_ +- **Password & Secrets Management** uses `Kubernetes Secrets `_ in the EKS cluster. Open edX software relies on many passwords and keys, collectively referred to in this documentation simply as, "*secrets*". For all back services, including all Open edX applications, system account and root passwords are randomly and strongluy generated during automated deployment and then archived in EKS' secrets repository. This methodology facilitates routine updates to all of your passwords and other secrets, which is good practice these days. Common configuration settings `are located here `_ +- **SSL Certs**. Uses `AWS Certificate Manager `_ and LetsEncrypt. Terraform creates all SSL/TLS certificates. It uses a combination of AWS Certificate Manager (ACM) as well as LetsEncrypt. Additionally, the ACM certificates are stored in two locations: your aws-region as well as in us-east-1 (as is required by AWS CloudFront). Common configuration settings `are located here `_ +- **DNS Management** uses `AWS Route53 `_ hosted zones for DNS management. Terraform expects to find your root domain already present in Route53 as a hosted zone. It will automatically create additional hosted zones, one per environment for production, dev, test and so on. It automatically adds NS records to your root domain hosted zone as necessary to link the zones together. Configuration data exists within several modules but the highest-level settings `are located here `_ - **System Access** uses `AWS Identity and Access Management (IAM) `_ to manage all system users and roles. Terraform will create several user accounts with custom roles, one or more per service. -- **Network Design**. uses `Amazon Virtual Private Cloud (Amazon VPC) `_ based on the AWS account number provided in the `global configuration file `_ to take a top-down approach to compartmentalize all cloud resources and to customize the operating enviroment for your Open edX resources. Terraform will create a new virtual private cloud into which all resource will be provisioned. It creates a sensible arrangment of private and public subnets, network security settings and security groups. See additional VPC documentation `here `_ -- **Proxy Access to Backend Services**. uses an `Amazon EC2 `_ t2.micro Ubuntu instance publicly accessible via ssh as bastion.{{ cookiecutter.environment_subdomain }}.{{ cookiecutter.global_root_domain }}:22 using the ssh key specified in the `global configuration file `_. For security as well as performance reasons all backend services like MySQL, Mongo, Redis and the Kubernetes cluster are deployed into their own private subnets, meaning that none of these are publicly accessible. See additional Bastion documentation `here `_. Terraform creates a t2.micro EC2 instance to which you can connect via ssh. In turn you can connect to services like MySQL via the bastion. Common configuration settings `are located here `_. Note that if you are cost conscious then you could alternatively use `AWS Cloud9 `_ to gain access to all backend services. +- **Network Design**. uses `Amazon Virtual Private Cloud (Amazon VPC) `_ based on the AWS account number provided in the `global configuration file `_ to take a top-down approach to compartmentalize all cloud resources and to customize the operating enviroment for your Open edX resources. Terraform will create a new virtual private cloud into which all resource will be provisioned. It creates a sensible arrangment of private and public subnets, network security settings and security groups. See additional VPC documentation `here `_ +- **Proxy Access to Backend Services**. uses an `Amazon EC2 `_ t2.micro Ubuntu instance publicly accessible via ssh as bastion.{{ cookiecutter.environment_subdomain }}.{{ cookiecutter.global_root_domain }}:22 using the ssh key specified in the `global configuration file `_. For security as well as performance reasons all backend services like MySQL, Mongo, Redis and the Kubernetes cluster are deployed into their own private subnets, meaning that none of these are publicly accessible. See additional Bastion documentation `here `_. Terraform creates a t2.micro EC2 instance to which you can connect via ssh. In turn you can connect to services like MySQL via the bastion. Common configuration settings `are located here `_. Note that if you are cost conscious then you could alternatively use `AWS Cloud9 `_ to gain access to all backend services. + +Fargate Release Notes +--------------------- + +Fargate is a serverless compute alternative to EC2 instances. This is an **experimental** part of the Open edX devops stack. While the Fargate compute service itself +is both stable and robust, it's integration with Terraform for purposes providing the compute layer for a kubernetes cluster is a relatively new thing, and comes with some headaches. +For the avoidance of any doubt, Fargate runs well inside a Kubernetes cluster and for the most part is indistinguishable from a traditional EC2 server, aside from the obvious luxury of not needing to +directly administer this aspect of the cluster. But on the other hand, Terraform's life cycle management of a kubernetes cluster running Fargate is imperfect. Before you deploy Fargate into a production +environment please consider the following: + +Known Issues +~~~~~~~~~~~~ + +- When using Terraform to create an EKS Kubernetes Cluster configured to use Fargate, the apply operation will fail on your first attempt. See error message below. This is a known issue that is caused by a race condition between coredns and creation of the Fargate node on which it runs. Re-attempting with `terragrunt apply` resolves the problem. +- When using Terraform to destroy an EKS Kubernetes Cluster configured to use Fargate instead of EC2, you might experience any of the following: + + a) Terraform fails to destroy some of the IAM roles when destroying the EKS. Each is an eks Service-Linked Role. This is a known bug in the Terraform module. + b) Terraform fails to destroy one or more of the EKS security groups. This is a known bug in the Terraform module. + +- Terraform fails to destroy the Application Load Balancer ingress. This is due to a dependency problem which I'm still trouble shooting. The temporary resolution is to delete the Terraform file `terraform/modules/kubernetes_ingress_alb_controller/ingress.tf` and then run `terraform apply`. +- Other AWS admin users might lack permissions to view EKS resources in the AWS console, even if they have `admin` permissions or are logged in as the root account user. This is an AWS issue. I'm working on a set of instructions for configuring permissions for other users. +- If Terraform is interrupted during execution then it is possible that it will lose track of its state, leading to Terraform attempting to create already-existing resources which will result in run-time errors. This is the expected behavior of Terraform, but it can be a huge pain in the neck to resolve. + +Build Error +~~~~~~~~~~~ + +On your first build attempt you will encounter the following error aproximately 30 minutes into the kubernetes build. This is a know bug caused by a race condition in coredns installation when it is configured to run on Fargate nodes rather than EC2 instances. +Restarting the build resolves the error, and the build should complete normally. + +.. code-block:: bash + + module.eks.aws_eks_addon.this["coredns"]: Still creating... [20m0s elapsed] + â•· + │ Error: unexpected EKS Add-On (prod-stepwisemath-mexico:coredns) state returned during creation: timeout while waiting for state to become 'ACTIVE' (last state: 'DEGRADED', timeout: 20m0s) + │ [WARNING] Running terraform apply again will remove the kubernetes add-on and attempt to create it again effectively purging previous add-on configuration + │ + │ with module.eks.aws_eks_addon.this["coredns"], + │ on .terraform/modules/eks/main.tf line 298, in resource "aws_eks_addon" "this": + │ 298: resource "aws_eks_addon" "this" { + │ + ╵ + Releasing state lock. This may take a few moments... + ERRO[1950] 1 error occurred: + * exit status 1 + FAQ --- @@ -315,7 +380,7 @@ Behind the scenes Kubernetes (EKS in our case) uses an EC2 Elastic Load Balancer Why Use Terraform? ~~~~~~~~~~~~~~~~~~ -`Terraform `_ allows you to manage the entire lifecycle of your AWS cloud infrastructure using `infrastructure as code (IAC) `_. That means declaring infrastructure components in configuration files that are then used by Terraform to provision, adjust and tear down your AWS cloud infrastructure. There are tangential benefits to using IAC. +`Terraform `_ allows you to manage the entire lifecycle of your AWS cloud infrastructure using `infrastructure as code (IAC) `_. That means declaring infrastructure resources in configuration files that are then used by Terraform to provision, adjust and tear down your AWS cloud infrastructure. There are tangential benefits to using IAC. 1. **Maintain all of your backend configuration data in a single location**. This allows you to take a more holistic, top-down approach to planning and managing your backend resources, which leads to more reliable service for your users. 2. **Leverage git**. This is a big deal! Managing your backend as IAC means you can track individual changes to your configuration over time. More importantly, it means you can reverse backend configuration changes that didn't go as planned. diff --git a/{{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/eks_clb_ec2/README.md b/{{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/README.md similarity index 94% rename from {{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/eks_clb_ec2/README.md rename to {{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/README.md index 3b3feabd..961af9d1 100644 --- a/{{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/eks_clb_ec2/README.md +++ b/{{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/README.md @@ -48,7 +48,7 @@ Taking the `dev` environment as an example, the file structure looks like this: #### config.yml This file contains a few entries that will be fed into early the Tutor configuration stage. -These are the FQDNs of the LMS and CMS components of Open edX and the location of the custom image that we build [here](https://github.com/{{ cookiecutter.github_account_name }}/tutor-build). +These are the FQDNs of the LMS and CMS applications of Open edX and the location of the custom image that we build [here](https://github.com/{{ cookiecutter.github_account_name }}/tutor-build). #### k8s diff --git a/{{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/eks_clb_ec2/cluster-issuer.yml b/{{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/cluster-issuer.yml similarity index 94% rename from {{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/eks_clb_ec2/cluster-issuer.yml rename to {{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/cluster-issuer.yml index 6f06b952..b2082fe1 100644 --- a/{{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/eks_clb_ec2/cluster-issuer.yml +++ b/{{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/cluster-issuer.yml @@ -29,7 +29,7 @@ kind: Certificate metadata: name: le-crt spec: - secretName: wild-openedx-prod-tls + secretName: wild-openedx-{{ cookiecutter.environment_name }}-tls issuerRef: kind: ClusterIssuer name: letsencrypt diff --git a/{{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/eks_alb_ec2/README.md b/{{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/eks_alb_ec2/README.md deleted file mode 100644 index ecb21132..00000000 --- a/{{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/eks_alb_ec2/README.md +++ /dev/null @@ -1,68 +0,0 @@ -# Tutor Deploy to EKS With ALB - -## Open edX Tutor Deployment -This repository contains a set of GitHub actions workflows to deploy Tutor's Open edX onto our [Kubenetes (EKS) cluster](https://github.com/{{ cookiecutter.github_account_name }}/terraform-aws). - - -## How it works -All the logic is defined in the actual workflow. It mostly follows the steps outlined on Tutor's documentation with some adaptations to run it in a disposable CI environment. - -When running the Tutor CLI on a local machine it can run in an interactive mode and persists the captured config into a local file. In the context of a CI job, such as GitHub Actions, this is not possible. - -Luckily the Tutor CLI allows all of it's params to be passed as a command line argument, or as an environment variable. We leverage this feature to provide all the custom details, from external sources. - - -## Dependencies -This workflow needs to collect some parameters for Tutor from external sources, such as credentials and endpoints from backing services. As a rule of thumb these are fetched from a predefined Kubernetes secret resource on the target namespace for the environment. - -Also, the backing services need to be readily available prior to deploying the Open edX platform, because Tutor and the workflow will need to run several initialisation tasks; Django database migrations for example. - -All the necessary dependencies need to be deployed prior to deploying an environment for the first time using the terraform stack in [this repo](https://github.com/{{ cookiecutter.github_account_name }}/terraform-aws) and [this repo](https://github.com/{{ cookiecutter.github_account_name }}/terraform-openedx). - -The Terraform stack will create all of the resources needed for this deployment workflow to operate and deliver a running edX platform. -- Kubernetes namespace -- Mysql database (RDS) -- ElasticSearch (AWS ElasticSearch) -- MCDANIEL: REMOVED FEB-2022 -- Redis (AWS ElasticCache Redis) -- S3 Bucket -- Kubernetes' secrets containing the locations and credentials for all the above AWS services and others - - -## Deployment process -Once the Terraform stack with the Open edX dependencies has been successfully applied for a particular Open edX environment (one-off) we just need to trigger the desired environment's workflow dispatch. - -### Repository structure -This repository contains a directory `environemnts` with the following structure - -Taking the `dev` environment as an example, the file structure looks like this: - -``` -└── environments -├── dev -│ ├── config.yml -│ ├── k8s -│ │ ├── cluster-issuer.yml -│ │ └── ingress.yml -│ └── settings_merge.json -``` - -#### config.yml -This file contains a few entries that will be fed into early the Tutor configuration stage. -These are the FQDNs of the LMS and CMS components of Open edX and the location of the custom image that we build [here](https://github.com/{{ cookiecutter.github_account_name }}/tutor-build). - -#### k8s - -This is a directory that contains predefined Kubernetes resources to deploy edX - - ├── cluster-issuer.yml - └── ingress.yml - -This is a definition of a ClusterIssuer and a TLS Certificate. -These resources create a Kubernetes ingress with TLS support and generate a TLS certificate to match the associated domain. -They are applied and enforced during the deployment. - -#### settings_merge.json -This file contains custom configuration that is not managed by Tutor, but that we need to add to the running Open edX services so that our plugin can work. - -We cannot tell Tutor to include extra configuration or settings that it does not manage, -so we will merge this JSON block to the final rendered configuration that will be passed on to the edX services ,the LMS and the CMS. diff --git a/{{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/eks_alb_fargate/README.md b/{{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/eks_alb_fargate/README.md deleted file mode 100644 index e60d0517..00000000 --- a/{{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/eks_alb_fargate/README.md +++ /dev/null @@ -1,68 +0,0 @@ -# Tutor Deploy to EKS Fargate - -## Open edX Tutor Deployment -This repository contains a set of GitHub actions workflows to deploy Tutor's Open edX onto our [Kubenetes (EKS) cluster](https://github.com/{{ cookiecutter.github_account_name }}/terraform-aws). - - -## How it works -All the logic is defined in the actual workflow. It mostly follows the steps outlined on Tutor's documentation with some adaptations to run it in a disposable CI environment. - -When running the Tutor CLI on a local machine it can run in an interactive mode and persists the captured config into a local file. In the context of a CI job, such as GitHub Actions, this is not possible. - -Luckily the Tutor CLI allows all of it's params to be passed as a command line argument, or as an environment variable. We leverage this feature to provide all the custom details, from external sources. - - -## Dependencies -This workflow needs to collect some parameters for Tutor from external sources, such as credentials and endpoints from backing services. As a rule of thumb these are fetched from a predefined Kubernetes secret resource on the target namespace for the environment. - -Also, the backing services need to be readily available prior to deploying the Open edX platform, because Tutor and the workflow will need to run several initialisation tasks; Django database migrations for example. - -All the necessary dependencies need to be deployed prior to deploying an environment for the first time using the terraform stack in [this repo](https://github.com/{{ cookiecutter.github_account_name }}/terraform-aws) and [this repo](https://github.com/{{ cookiecutter.github_account_name }}/terraform-openedx). - -The Terraform stack will create all of the resources needed for this deployment workflow to operate and deliver a running edX platform. -- Kubernetes namespace -- Mysql database (RDS) -- ElasticSearch (AWS ElasticSearch) -- MCDANIEL: REMOVED FEB-2022 -- Redis (AWS ElasticCache Redis) -- S3 Bucket -- Kubernetes' secrets containing the locations and credentials for all the above AWS services and others - - -## Deployment process -Once the Terraform stack with the Open edX dependencies has been successfully applied for a particular Open edX environment (one-off) we just need to trigger the desired environment's workflow dispatch. - -### Repository structure -This repository contains a directory `environemnts` with the following structure - -Taking the `dev` environment as an example, the file structure looks like this: - -``` -└── environments -├── dev -│ ├── config.yml -│ ├── k8s -│ │ ├── cluster-issuer.yml -│ │ └── ingress.yml -│ └── settings_merge.json -``` - -#### config.yml -This file contains a few entries that will be fed into early the Tutor configuration stage. -These are the FQDNs of the LMS and CMS components of Open edX and the location of the custom image that we build [here](https://github.com/{{ cookiecutter.github_account_name }}/tutor-build). - -#### k8s - -This is a directory that contains predefined Kubernetes resources to deploy edX - - ├── cluster-issuer.yml - └── ingress.yml - -This is a definition of a ClusterIssuer and a TLS Certificate. -These resources create a Kubernetes ingress with TLS support and generate a TLS certificate to match the associated domain. -They are applied and enforced during the deployment. - -#### settings_merge.json -This file contains custom configuration that is not managed by Tutor, but that we need to add to the running Open edX services so that our plugin can work. - -We cannot tell Tutor to include extra configuration or settings that it does not manage, -so we will merge this JSON block to the final rendered configuration that will be passed on to the edX services ,the LMS and the CMS. diff --git a/{{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/eks_clb_ec2/data-backup.yml b/{{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/eks_clb_ec2/data-backup.yml deleted file mode 100644 index 2c40e05e..00000000 --- a/{{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/eks_clb_ec2/data-backup.yml +++ /dev/null @@ -1,102 +0,0 @@ -#------------------------------------------------------------------------------ -# written by: Lawrence McDaniel -# https://lawrencemcdaniel.com/ -# -# date: Feb-2022 -# -# usage: Dumps mysql and mongo. stores the completed backups in AWS S3 -#------------------------------------------------------------------------------ -apiVersion: batch/v1beta1 -kind: CronJob -metadata: - name: data-backup - namespace: {{ cookiecutter.environment_name }}-{{ cookiecutter.global_platform_name }}-{{ cookiecutter.global_platform_region }} -spec: - schedule: "0 8 * * *" - jobTemplate: - spec: - template: - spec: - containers: - - name: mongodb - image: docker.io/mongo:4.0.25 - imagePullPolicy: IfNotPresent - command: - - /bin/sh - - -c - - |- - echo "Backup MongoDB" - apt-get update && apt-get install -y curl unzip - curl -s "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip" - unzip -q awscliv2.zip - ./aws/install - mongodump --host="mongodb:27017" - DATE=$(date +%Y%m%d-%H%M) && echo $DATE - MONGO_FILE="mongodump-$DATE" - mv dump $MONGO_FILE - aws s3 sync $MONGO_FILE s3://$S3_BUCKET/$MONGO_FILE/ - env: - - name: AWS_ACCESS_KEY_ID - valueFrom: - secretKeyRef: - name: s3-data-backup-web - key: AWS_ACCESS_KEY_ID - - name: AWS_SECRET_ACCESS_KEY - valueFrom: - secretKeyRef: - name: s3-data-backup-web - key: AWS_SECRET_ACCESS_KEY - - name: S3_BUCKET - valueFrom: - secretKeyRef: - name: s3-data-backup-web - key: S3_BUCKET - - name: mysql - image: docker.io/mysql:5.7.33 - imagePullPolicy: IfNotPresent - command: - - /bin/sh - - -c - - |- - echo "Backup MySQL" - apt-get update && apt-get install -y curl unzip - curl -s "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip" - unzip -q awscliv2.zip - ./aws/install - DATE=$(date +%Y%m%d-%H%M) && echo $DATE - SQL_FILE="mysqldump-$DATE" - mysqldump -h"$MYSQL_HOST" -u"$MYSQL_ROOT_USERNAME" -p"$MYSQL_ROOT_PASSWORD" --add-drop-database --set-gtid-purged=OFF --column-statistics=0 openedx > ${SQL_FILE} - aws s3 sync $SQL_FILE s3://$S3_BUCKET/$SQL_FILE/ - env: - - name: AWS_ACCESS_KEY_ID - valueFrom: - secretKeyRef: - name: s3-data-backup-web - key: AWS_ACCESS_KEY_ID - - name: AWS_SECRET_ACCESS_KEY - valueFrom: - secretKeyRef: - name: s3-data-backup-web - key: AWS_SECRET_ACCESS_KEY - - name: S3_BUCKET - valueFrom: - secretKeyRef: - name: s3-data-backup-web - key: S3_BUCKET - - name: MYSQL_HOST - valueFrom: - secretKeyRef: - name: sql-root - key: MYSQL_HOST - - name: MYSQL_ROOT_USERNAME - valueFrom: - secretKeyRef: - name: sql-root - key: MYSQL_ROOT_USERNAME - - name: MYSQL_ROOT_PASSWORD - valueFrom: - secretKeyRef: - name: sql-root - key: MYSQL_ROOT_PASSWORD - - restartPolicy: OnFailure diff --git a/{{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/eks_clb_ec2/ingress.yml b/{{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/ingress.yml similarity index 91% rename from {{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/eks_clb_ec2/ingress.yml rename to {{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/ingress.yml index e80d0f87..6422bb58 100644 --- a/{{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/eks_clb_ec2/ingress.yml +++ b/{{cookiecutter.github_repo_name}}/ci/tutor-deploy/environments/{{cookiecutter.environment_name}}/k8s/ingress.yml @@ -10,7 +10,7 @@ apiVersion: networking.k8s.io/v1 kind: Ingress metadata: name: openedx - namespace: {{ cookiecutter.environment_name }}-{{ cookiecutter.global_platform_name }}-{{ cookiecutter.global_platform_region }} + namespace: openedx annotations: # mcdaniel # https://www.cyberciti.biz/faq/nginx-upstream-sent-too-big-header-while-reading-response-header-from-upstream/ @@ -28,7 +28,7 @@ spec: - hosts: - "{{ cookiecutter.environment_subdomain }}.{{ cookiecutter.global_root_domain }}" - "*.{{ cookiecutter.environment_subdomain }}.{{ cookiecutter.global_root_domain }}" - secretName: wild-openedx-prod-tls + secretName: wild-openedx-{{ cookiecutter.environment_name }}-tls rules: - host: {{ cookiecutter.environment_subdomain }}.{{ cookiecutter.global_root_domain }} http: diff --git a/{{cookiecutter.github_repo_name}}/doc/terragrunt-init.png b/{{cookiecutter.github_repo_name}}/doc/terragrunt-init.png new file mode 100644 index 0000000000000000000000000000000000000000..2ac7ebe110bc78b240c2884846c85c2be953cc38 GIT binary patch literal 182076 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A Kubernetes cluster is a set of nodes that run containerized applications that are grouped in pods and organized with namespaces. Containerizing an application into a Docker container means packaging that app with its dependences and its required services into a single binary run-time file that can be downloaded directly from the Docker registry. +Our Kubernetes Cluster resides inside the VPC on a private subnet, meaning that it is generally not visible to the public. In order to be able to receive traffic from the outside world we implement `Kubernetes Ingress Controllers `_ which in turn implement a `Kubernetes Ingress `_ +for both an `AWS Application Load Balancer `_ as well as our `Nginx proxy server `_. + +Implementation Strategy +----------------------- + +Our goal is to, as much as possible, implement a plain vanilla Kubernetes Cluster that generally uses all default configuration values and that includes EC2 as well as Fargate compute nodes. + +This module uses the latest version of the community-supported `AWS EKS Terraform module `_ to create a fully configured Kubernetes Cluster within the custom VPC. +AWS EKS Terraform module is widely supported and adopted, with more than 250 open source code contributers, and more than 10 million downloads from the Terraform registry as of March, 2022. + +How it works +------------ + +Amazon Elastic Kubernetes Service (Amazon EKS) is a managed container service to run and scale Kubernetes applications in the cloud. It is a managed service, meaning that AWS is responsible for up-time, and they apply periodic system updates and security patches automatically. + +.. image:: doc/diagram-eks.png + :width: 100% + :alt: EKS Diagram + + +AWS Fargate Serverless compute for containers +--------------------------------------------- + +AWS Fargate is a serverless, pay-as-you-go computing alternative to traditional EC2 instance-based computing nodes. It is compatible with both `Amazon Elastic Container Service (ECS) `_ and `Amazon Elastic Kubernetes Service (EKS) `_. +There are two distinct benefits to using Fargate instead of EC2 instances. First is cost. Similar to AWS Lambda, you only pay for the compute cycles that you consume. Most Open edX installations provision server infrastructure based on peak load estimates, which in point of fact only occur occasionally, during isolated events like approaching homework due dates, mid-term exams and so on. This in turn leads to EC2 instances being under-utilized most of the time. +Second, related, is scaling. Fargate can absorb whatever workload you send to it, meaning that during peak usage periods of your Open edX platform you won't need to worry about provisioning additional EC2 server capacity. + + +- **Running at scale**. Use Fargate with Amazon ECS or Amazon EKS to easily run and scale your containerized data processing workloads. +- **Optimize Costs**. With AWS Fargate there are no upfront expenses, pay for only the resources used. Further optimize with `Compute Savings Plans `_ and `Fargate Spot `_, then use `Graviton2 `_ powered Fargate for up to 40% price performance improvements. +- Only pay for what you use. Fargate scales the compute to closely match your specified resource requirements. 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