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udacity-nd9990-p4's Introduction

Udacity Project - Refactor Udagram Into Microservices

This project is to refactor the initial monolitic application we built in previous lession into separate microservices.

This is split out into 4 specific directories:

  1. Deployment - contains scripts for kubernetes and docker information to do docker compose commands.
  2. Frontend - folder contains code to build our ionic sample frontend application
  3. RestAPI Feed - folder contains code for the feed API broken apart from the monolitic application.
  4. RestAPI User - folder contains code for the user API broken apart from the monolitic application.

There is also travisCI integration on this specific repository of mine as per the instructions along with an extra deploy step to automatically push the docker images to my docker repo based on travisCI env variables.

In order for you run this:

  1. make sure all dependencies are configured
  2. checkout the code
  3. setup proper secrets per the docker files in each sub folder
  4. run docker-compose on the yaml file in Deployments/docker
  5. use browser to access

Dependencies

There are dependencies on having an S3 bucket provisioned and an RDS postgres instance provisioned if you want to run this locally on your machine

udacity-nd9990-p4's People

Contributors

bainegames avatar

Stargazers

Eli_ii avatar

Watchers

James Cloos avatar  avatar

Forkers

max-clinch

udacity-nd9990-p4's Issues

Question for this project

Hi @BaineGames ,

I'm also learning Cloud Developer, while I'm stuck in this project.

Could you give me a short brief how I can start this project before I can apply the developments and services config which in started code?

In the courses, there is only one mentioned we could use kubeone to create k8s cluster on AWS, but I noticed that the doc will apply a example Terraform template which will start several AWS resources for us, which seems not necessary for our project.

I also went through your README.md file, you just briefed how to run it with docker locally, not described how to deploy the project k8s on AWS.

If you could provide some help, that will be appreciated.

Thanks in advance.

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