nodejs-ecs

Web server written in NodeJS and TypeScript and deployed to AWS ECS and ECR

Project structure

project
│   README.md -> contains all the basic info which you should read before you start
│   .gitignore -> if you want to ignore files and not push to git, add them here
│   environment.d.ts -> add any env variable here, typescript will thank you later
│   package.json -> all the dependency and build instructions
│   package-lock.json -> dependency version locks   
│   tsconfig.json -> typescript configuration file
│   tslint.json -> linters are here, so be careful 🤓
│   Dockerfile -> docker configuration file for docker build
│   .dockerignore -> files to ignore with docker
│   jest.config.js -> jest test runner configuration
│   .prettierrc -> pretify your code
│   docker-compose.yml -> pull and run all dependency such as DB locally
│   clean.sh -> delete the build folder (dist)
│   ormconfig.ts -> database/typeorm config file
│
└───dist/ -> all your compiled project goes here
│   └───src/ -> compiled source code
│       │   index.js -> entry point of server app
│       │   ...
│       │   ...
│   
└───src/ -> all your source code
│   └───controller/ -> all your controller and handler should go here
│   └───router/ -> router setup for this project
│   └───server/ -> server setup for this project
│   └───database/ -> all database files like entities, migrations etc
│   └───utils/ -> common utility class
│   └───types/ -> all your types for request/response interface, non db models and Joi validators
│   │
│   │   index.ts -> entry point of server app written in TypeScript
│   
└───deployment/ -> all your deployment and stack creation template and settings
│   │   ecs-stack.json -> cloudformation template to create ECS stack
│   │   parameter-store.sh -> add required params/secrets to AWS paramter store
│   │   rds-event.template -> SMS notification subscription for database events like fail over etc.
│   │   rds.template -> AWS teplate to create master and one read replicate for postgres DB

Getting started

• Clone the repository
• Install NodeJS, NPM and Docker
• Run npm i inside the repo folder
• Run npm run start to build and run the project locally

Prerequisite

Before you build or run the server locally, you should start docker and run

docker-compose up -d or docker compose up -d

To pull down the docker containers

docker-compose down or docker compose down

Migration

• to create a new migration run typeorm migration:create -n {migration-name}
• to run migration typeorm migration:run

Environment

To run this project locally you need to set following env vars - PORT - DB_PORT - DB_HOST - DB_USER - DB_PASS - DB_NAME

Build

• run npm run build for local build
• run npm run build:docker for local docker build

Run locally

• run npm run start for local run
• run npm run start:docker for local docker run

Testing

• run npm run test to run all the tests
• all the test files should go inside __test__ folder
• all test files should have test in name, ending with .ts for example hello.test.ts

Deployment

Before you deploy this project, you need to configure your AWS CLI and AWS account - create ECR repository, and push your docker image and then get the repo URL - upload deployment/ecs-stack.json to Cloudformation dashboard > create on AWS - provide the config details and ECR url and finish the stack creation - run sh ./deployment/parameter_store_values.sh with all the required values filled - run aws cloudformation create-stack \ --template-body file://deployment/rds.template \ --stack-name YourStackName with required values filled to create RDS postgres instance - optionally you can run aws cloudformation create-stack \ --template-body file://deployment/rds.event.template \ --stack-name YourStackName to enable SMS notification for DB events

You can also validate the template using

aws cloudformation validate-template \
  --template-body file://deployment/rds.template

Once your stack is created and running, you can then configure CI/CD pipeline to run the test npm run test and lint npm run lint, then build the docker image and push to ECR. The server deployment will be automatically updated with the latest ECR image

-- Happy coding 😉