Multi Containers Application Deployment

In this project, we will deploy overcomplicated Fibonacci Calculator using docker-compose, Google Kuberentes Engine and AWS Elastic Beanstalk. Deployment process have been automated via Travis CI, which will deploy when commit is done on master.

Please Note:- This repo doesn't contain steps required for Google Kubernetes Engine setup or AWS Beanstalk setup or Travis CI environment variables setup etc. You can refer to this amazing Udemy Course.

Application Components

• Server - A node application which connect with postgres database and redis. It have APIs for showing result from postgres DB and redis cache.
• Worker - A node application which constantly monitor redis for new input submitted by user and calculate Fibonacci number.
• Client - A react app which render a UI with previously calculated results and allow to submit a new request. Client is hosted using nginx after building react app.
• nginx - Used for creating http routing for Server and Client. This will be only used during docker-compose based local deployment or AWS Elastic Beanstalk Deployment. For kubernetes, we will use ingress-nginx service instead.
• postgres - A DB server for storing number submitted by users for calculating Fibonacci numbers. We will use AWS Relational Database service (RDS) postgres for Beanstalk.
• redis - Used for caching recently submitted numbers and corresponding calculated Fibonacci numbers.

Docker Compose Dev Setup

• We have different dockerfiles for development and production.
• docker-compose.yml included in this repo should only used for development purpose as Dockerfile.dev are used.
• Running development setup

  docker-compose up

Google Kubernetes Engine Deployment

• Check master / k8s-deployment Branch for all configurations.
• All kubernetes releated config files can be found in k8s folder.
• .travis.yml will setup google cloud SDK, run tests, create production images, push to DockerHub and finally run deploy.sh script for updating cluster.

AWS Elastic Beanstalk Deployment

• Check elastic_beanstalk branch for all details including Dockerrun.aws.json and .travis.yml

Notes

• Travis CI will do sanity testing and create production Docker images and push images to DockerHub.
• Travis CI will send trigger to Elastic Beanstalk or run script for Google Kubernetes cluster for updating application in deploy stage.
• For redis, we can use AWS Elasti Cache (EC), but we haven't used as it is not included in AWS free tier.

Deployed App Screenshot