Image Processing Service

The Image upload service allows users to upload, retrive, delete, transform images to/from AWS S3.

Features

• User authentication using JWT
• Upload, Retrive, Delete, List images to/from AWS S3
• Transform images using Sharp library
• Cache transformed images using Redis
• Using RabbitMQ for async processing (Transforming images)
• Docker and Docker-compose for containerization
• Using Kubernetes for deployment

Tech Stack

• Express.js
• MongoDB
• Redis
• RabbitMQ
• AWS S3
• Sharp
• Docker
• Kubernetes

Local Development using Docker (Recommended)

• Clone the repository.
• Create a .env file in the root directory and add the environment variables from .env.example with your values.
• Run the following command to start the services:

  npm run dev:docker

• When installing new dependencies, you can run the following command to remove the existing containers, images & volumes and start the services:

  npm run delete:docker
  npm run dev:docker

Local Development without Docker

• Clone the repository.
• Create a .env file in the root directory and add the environment variables from .env.example with your values.
• Install and start MongoDB, Redis, RabbitMQ services on your local machine.
• Install the dependencies:

  npm install

• Start the server:

  npm run dev

Deployment using Kubernetes

Pre-requisites

• Create secrets.yaml file in root directory with the content from secrets.example.yaml and update the values.
• Use the following command to generate the base64 encoded secret and update the secret.yaml file with the generated secret.

  echo -n "your-secret" | base64

• Once the secrets are defined, apply them to your Kubernetes cluster:

  kubectl apply -f secrets.yaml