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MsgFlo example: Image resizing service

Example of how to build a backend service for CPU-intensive tasks using Msgflo.

Architecture of the system

Deploying to Heroku

The absolutely quickest way to get running is to deploy the sevice to Heroku.

Deploy

API

FIXME: document

TODO

Minimal

  • Add checks for successful job completion test

Bonus

  • Fix marking job status with completed
  • UI: Accept URLs

Running locally

Prerequisites

The following software needs to be preinstalled

  • Node.js 6+
  • Postgres 9.6+
  • RabbitMQ 3.6+

Also needed is an Amazon S3 bucket, and the associated credentials.

Download git repo

git clone https://github.com/msgflo/msgflo-example-imageresize.git
cd msgflo-example-imageresize

Install

npm install

One-time setup

Create the database

psql -c 'create database imageresize_test;' -U postgres

Run database migrations and bind message queues

npm run setup

Configure

Configure Amazon S3 access

export IMAGERESIZE_S3_KEY=key
export IMAGERESIZE_S3_SECRET=secret
export IMAGERESIZE_S3_BUCKET=bucket

Run

Run the entire service

npm start

Run tests

npm test