https://github.com/rolfkoenders/image-processing-service

Image processing micro service. [POC]
https://github.com/rolfkoenders/image-processing-service

docker go microservice nginx nodejs poc rabbitmq

Last synced: 18 days ago
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Image processing micro service. [POC]

• Host: GitHub
• URL: https://github.com/rolfkoenders/image-processing-service
• Owner: RolfKoenders
• Created: 2017-06-09T15:22:33.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-06-14T11:14:27.000Z (over 7 years ago)
• Last Synced: 2024-11-06T08:45:59.228Z (2 months ago)
• Topics: docker, go, microservice, nginx, nodejs, poc, rabbitmq
• Language: JavaScript
• Homepage:
• Size: 317 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

# Image Processing Service

> Proof Of Concept

## Goal

A large image (in widht & height) is uploaded and will be processed so we have different sizes coming out. 

### Plan / Approach

1. The image which is uploaded to the nodejs API will be uploaded to a shared volume

2. When the image is uploaded a message will be pushed on the queue

3. The workers which will be written in Golang will pickup the message, take the image and resize/scale them so we have three different sizes. (small, medium, large)

## Starting up

Before starting everything up with docker compose, make sure to launch the `setup.sh` script. This script will create the missing folder where the uploaded images will be stored and install all the dependencies for the nodejs api.

```bash

# In the project dir

$ ./setup.sh

```

Then we can bring everything up with docker compose

```bash

$ docker-compose up --build

```

This will build and spin up the following container

- RabbitMQ

- Nginx

- API

- Worker

### RabbitMQ

[RabbitMQ](https://www.rabbitmq.com/) is the most widely deployed open source message broker. The management portal is listening on port `15672`

### Nginx

Proxy layer for the API and used to serve static files. Open a browser window and go to http://localhost:8080 to see the upload form.

### API

Simple API layer written in [node.js](https://nodejs.org/en/). This is the API where the submitted form will end up.

### Worker

The worker which is going to process the images and takes care of resizing them.