Project-Docker_Workflow

Udacity's Cloud DevOps Nanodegree Course 4 Project

Part 1 - Containerizing an application with Docker

1. Setup a local development environment

• Installed python
• Build and executed packages

2. Developed a Makefile to automate the build process

• Setup local environment using bash scripts

• Installing packages using pip3
• Testing python code using pytest
• Validating build configurations using CircleCI

• Linting Dockerfile with hadolint
• Linting python file with pylint

3. Containerize a python app using Docker

• Local build and verify packages installed successfully docker build --tag=app .

• Check to see that it was built successfully docker image ls
• Run the docker to see if it was setup properly docker run -p 80:80 app
• Deploy Docker image to AWS Elastic Container Registry

To run the Docker image in your server, just execute the following code:

• docker pull 966289448295.dkr.ecr.us-west-2.amazonaws.com/docker_workflow:latest
• docker run 966289448295.dkr.ecr.us-west-2.amazonaws.com/docker_workflow

Part 2