https://github.com/mukulmantosh/packer-exercises

Streamlining AMIs using Packer, Vault & GitHub Actions
https://github.com/mukulmantosh/packer-exercises

aws dockerfile fastapi github-actions hashicorp-packer hashicorp-vault packer packer-template python python3

Last synced: 13 days ago
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Streamlining AMIs using Packer, Vault & GitHub Actions

• Host: GitHub
• URL: https://github.com/mukulmantosh/packer-exercises
• Owner: mukulmantosh
• Created: 2022-11-20T01:24:21.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2022-11-27T05:36:23.000Z (about 2 years ago)
• Last Synced: 2024-12-09T03:49:55.216Z (19 days ago)
• Topics: aws, dockerfile, fastapi, github-actions, hashicorp-packer, hashicorp-vault, packer, packer-template, python, python3
• Language: HCL
• Homepage: https://dev.to/mukulmantosh/streamlining-amis-using-packer-vault-github-actions-18g
• Size: 309 KB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Packer Exercises

![stack](./misc/stack.jpg)

Welcome to the Packer Tutorial.

## Prerequisites 

Before starting up this project, make sure you have an AWS account and 

Packer installed in your machine.

### Software Installation

- [x] [AWS Command Line Interface](https://aws.amazon.com/cli/) - The AWS Command Line Interface (CLI) is a unified tool to manage your AWS services.

- [x] [Docker](https://www.docker.com/) - Docker helps developers bring their ideas to life by conquering the complexity of app development.

- [x] [Packer](https://www.packer.io/) - Packer is a free and open source tool for creating golden images for multiple platforms from a single source configuration.

### Blog

For in-depth, follow this tutorial 

- [Streamlining AMIs using Packer, Vault & GitHub Actions](https://dev.to/mukulmantosh/streamlining-amis-using-packer-vault-github-actions-18g)

## DockerHub

 - [https://hub.docker.com/r/mukulmantosh/packerexercise](https://hub.docker.com/r/mukulmantosh/packerexercise)

## References

If you are interested to know more about AWS with Python, then you can follow the below links.

- [Developing Serverless APIs using AWS Toolkit](https://www.jetbrains.com/pycharm/guide/tutorials/intro-aws/)

- [Developing Django Application using AWS NICE DCV, high-performance remote desktop and application streaming](https://www.jetbrains.com/pycharm/guide/tutorials/django-aws/)