Automating Workflows: Uploading to S3

CodePipeline Option in AWS: Finding Pipeline from Search.

In this blog, we will explore three methods to automate the process of uploading your GitHub repository to an S3 bucket: GitHub Actions, AWS CodePipeline, and custom Git hooks. Each method is suited for different needs and levels of complexity.

1. GitHub Actions

GitHub Actions is a powerful tool to automate workflows directly within GitHub. You can set up a workflow to upload your repository to S3 after a push.

Steps:


name: Deploy to S3

on:
  push:
    branches:
      - main

jobs:
  deploy:
    runs-on: ubuntu-latest

    steps:
    - name: Checkout code
      uses: actions/checkout@v2

    - name: Configure AWS credentials
      uses: aws-actions/configure-aws-credentials@v1
      with:
        aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
        aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
        aws-region: us-east-1

    - name: Sync to S3
      run: |
        aws s3 sync . s3://your-s3-bucket-name --delete

            
Click for Detailed Workflow

2. AWS CodePipeline

AWS CodePipeline is a fully managed continuous delivery service that helps automate your release pipelines for fast and reliable application and infrastructure updates.

Steps:

3. Custom Git Hook

A Git hook can be set up to trigger a script after a push to the main branch, which can upload files to S3.

Steps:


#!/bin/bash

# Navigate to the repository directory
cd /path/to/your/repo

# Sync the repository to S3
aws s3 sync . s3://your-s3-bucket-name --delete

            

chmod +x /path/to/your/repo/.git/hooks/post-receive

            

Summary

Each method has its own setup complexity and use case suitability, so choose the one that best fits your workflow.