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🤖 Automation & Operations

How we automate the entire data pipeline using GitHub Actions, ensuring reliable, production-ready operations with zero manual intervention.

🔄 Automation Overview

The complete automation strategy that makes our data pipeline production-ready

Why Automate?

Manual data processing is error-prone, time-consuming, and doesn't scale. Our automation strategy ensures:

  • Reliability: Consistent execution regardless of human availability
  • Scalability: Handle increasing data volumes without additional effort
  • Auditability: Complete traceability of all data transformations
  • Efficiency: Focus human effort on analysis, not data wrangling
  • Compliance: Meet regulatory requirements for data lineage

Automation Architecture

Scheduled Triggers

Weekly automated runs

🔍
Data Validation

Quality checks & alerts

📊
Dashboard Updates

Real-time refresh

📧
Notifications

Success/failure alerts

⚙️ GitHub Actions Workflow

The CI/CD pipeline that orchestrates our entire data processing workflow

Workflow Overview

Our GitHub Actions workflow runs every Monday at 6:00 AM CT (11:00 UTC) to refresh the Chicago SMB Market Radar with the latest data.

name: Chicago SMB Market Radar - Weekly Update

on:
  schedule:
    # Every Monday at 11:00 UTC (6:00 AM CT)
    - cron: '0 11 * * MON'
  workflow_dispatch:  # Allow manual triggers

jobs:
  update-data:
    runs-on: ubuntu-latest

    steps:
    - name: Checkout code
      uses: actions/checkout@v4

    - name: Set up Python
      uses: actions/setup-python@v4
      with:
        python-version: '3.11'

    - name: Install dependencies
      run: |
        pip install -r requirements.txt

    - name: Run data pipeline
      env:
        SHEETS_CREDS: ${{ secrets.SHEETS_CREDS }}
        SHEET_ID: ${{ secrets.SHEET_ID }}
      run: python -m src.main

    - name: Validate results
      run: python -m src.validation

    - name: Update dashboard
      run: python -m src.dashboard_refresh

Key Workflow Features

🕐 Scheduling
  • • Weekly automated execution
  • • Manual trigger capability
  • • Timezone-aware scheduling
  • • Holiday and weekend handling
🔐 Security
  • • Encrypted secrets storage
  • • Service account credentials
  • • Minimal permission scope
  • • Audit trail logging

Ready for the Final Chapter?

Now that we've automated our pipeline, let's see the results and business impact of the Chicago SMB Market Radar.