Spring 2022 Project Team
-
Piyush Nalawade: Piyush is a first year MS CS student specializing in Distributed Systems. He has 3 years of experience working for multiple large scale startups as a Software Engineer, Backend for building products from 0 to 1 to 10. He has expertise in Node, Python, RESTful webservices, Caching, Event Driven Architectures along with AWS cloud.
-
Rushikesh Pharate: Rushikesh is a computer science graduate student at IU. He has a prior experience in developing full stack web application using various web technologies like Django, NextJS, Redux, Flask, ExpressJS etc. With this course, he intends to get hands on experience in developing fault tolerant, high available and scalable cloud native microservices based distribued systems.
-
Aishwarya Sinhasane
Note: These are architecture discussions recorded please visit final architecture above.
- NextJs (Frontend)
- SpringBoot (Java 15)
- Flask (Python 3.8+)
- Express (Node 10)
- Django (Django 4+)
- MongoDB
- PostgreSQL
- Apache Kafka, Zookeeper
- RESTful Webservices
- AWS S3
- Localstack
- Docker
- Kubernetes
- Circle CI
$ git clone https://github.com/airavata-courses/zilean.git
$ docker compose -f kafka-docker-compose.yml up
$ docker-compose up
$ docker exec -it audit-container /bin/sh
$ npm run db:prod:all:migrate
$ exit
$ docker exec -it localstack-container /bin/sh
$ aws configure
$ plot plot enter enter
$ aws --endpoint-url=http://localhost:4566 s3 mb s3://plots
$ exit
Wait until all services are up !
Make sure you have these dependencies installed in your machine before installing each service.
- Node:10
- Python 3.8+
- Java 15
- Maven
$ git clone https://github.com/airavata-courses/zilean.git
$ chmod 755 zilean_setup.sh
$ chmod 755 start.sh
$ ./zilean_setup.sh
Open new terminal in same tab
$ cd docker
$ docker compose -f kafka-docker-compose.yml up
Open new terminal in same tab
$ cd docker
$ docker compose -f s3-localstack.yml up
Open new terminal in same tab
$ cd docker
$ docker compose -f mongo.yml up
Open new terminal in same tab
$ cd docker
$ docker compose -f postgresql.yml up
Open new terminal in same tab
$ brew install awscli
$ aws configure
access key = foo secret key = foo default region = us-east-1 default ouput format =
Create a local bucket naming 'plots'
aws --endpoint-url=http://localhost:4566 s3 mb s3://plots
Start a service either by going to their respective folders or using the start script
Each of these commands should be executed in different terminals.
$ ./start.sh <arg>
$
$ # Arg Values:
$ # front : frontend-service
$ # gw : gateway-service
$ # user : user-service
$ # session : session-serice
$ # drs: data-retrieval-service
$ # plot: plot-service
$ # audit : audit-service
$ # kafaq : kafka-audit-queue-service
$ # kafdq : kafka-data-retrieval-queue-service
$ # kafpq : kafka-plot-queue-service