GitHub Actions Monitoring Guide

Status: ✅ MONITORING SCRIPTS DEPLOYED

Date: 2025-11-16 09:26 UTC+01:00 Scripts: 2 (Bash + Python) Repository: https://github.com/agentmeshcommunicationprotocol/agentmeshcommunicationprotocol.github.io

Quick Start

# Single check
python3 monitor_github_actions.py

# Continuous monitoring
python3 monitor_github_actions.py --watch

# Verbose output
python3 monitor_github_actions.py --watch --verbose

# Custom timeout (2 hours)
python3 monitor_github_actions.py --watch --timeout 7200

Option 2: Bash Version

# Single check
./monitor-github-actions.sh

# Continuous monitoring
./monitor-github-actions.sh --watch

# Verbose output
./monitor-github-actions.sh --watch --verbose

What These Scripts Do

Monitoring Features

✅ Real-time Status - Check workflow status instantly ✅ Continuous Watch - Monitor until deployment completes ✅ Colored Output - Easy-to-read status indicators ✅ Timestamps - Track when each check occurred ✅ Detailed Info - Workflow ID, commit SHA, timestamps ✅ Auto-refresh - Updates every 30 seconds ✅ Timeout Protection - Stops after 1 hour (configurable) ✅ Error Handling - Graceful handling of API errors

Status Indicators

  • 🟢 ✓ SUCCESS - Workflow completed successfully
  • 🔴 ✗ FAILURE - Workflow failed
  • 🟡 ⏳ PENDING - Workflow in progress
  • 🔵 ℹ INFO - Information messages
  • 🔴 ✗ ERROR - Error occurred

Installation

# Install required package
pip install requests

# Or with pip3
pip3 install requests

Usage Examples

Single Status Check

python3 monitor_github_actions.py

Output:

GitHub Actions Monitoring Script
Repository: agentmeshcommunicationprotocol/agentmeshcommunicationprotocol.github.io
Branch: main

======================================================================
GitHub Actions Workflow Status
======================================================================

ℹ INFO [09:26:15]: Repository: agentmeshcommunicationprotocol/agentmeshcommunicationprotocol.github.io
ℹ INFO [09:26:15]: Branch: main
ℹ INFO [09:26:15]: Workflow: Deploy Jekyll site to Pages
ℹ INFO [09:26:15]: Run ID: 12345678
ℹ INFO [09:26:15]: Commit SHA: fcc35a2
ℹ INFO [09:26:15]: Created: 2025-11-16T09:26:00Z
ℹ INFO [09:26:15]: Updated: 2025-11-16T09:26:15Z

✓ SUCCESS [09:26:15]: Workflow completed successfully!
ℹ INFO [09:26:15]: Website: https://agentmeshcommunicationprotocol.github.io
ℹ INFO [09:26:15]: Actions: https://github.com/agentmeshcommunicationprotocol/agentmeshcommunicationprotocol.github.io/actions/runs/12345678

Continuous Monitoring

python3 monitor_github_actions.py --watch

Output:

GitHub Actions Monitoring Script
Repository: agentmeshcommunicationprotocol/agentmeshcommunicationprotocol.github.io
Branch: main

ℹ INFO [09:26:15]: Monitoring mode enabled (updates every 30s)
ℹ INFO [09:26:15]: Press Ctrl+C to stop monitoring

[09:26:15] Status: queued | Conclusion: None
[09:26:45] Status: in_progress | Conclusion: None
[09:27:15] Status: in_progress | Conclusion: None
[09:27:45] Status: completed | Conclusion: success

✓ SUCCESS [09:27:45]: Deployment completed successfully!
ℹ INFO [09:27:45]: Website: https://agentmeshcommunicationprotocol.github.io

Verbose Output

python3 monitor_github_actions.py --watch --verbose

Bash Version

Requirements

  • curl (usually pre-installed)
  • grep, sed (standard Unix tools)
  • bash 4.0+

Usage Examples

Single Status Check

./monitor-github-actions.sh

Continuous Monitoring

./monitor-github-actions.sh --watch

Verbose Output

./monitor-github-actions.sh --watch --verbose

Monitoring Workflow

Typical Deployment Timeline

Time    | Status       | Action
--------|--------------|------------------------------------------
09:26   | Queued       | Workflow waiting to start
09:27   | In Progress  | Build and deployment running
09:28   | In Progress  | Jekyll building site
09:29   | In Progress  | Deploying to GitHub Pages
09:30   | Completed    | ✓ SUCCESS - Website live!

What Happens During Deployment

  1. Queued (0-1 min)
    • Workflow waiting for runner
    • GitHub Actions allocating resources
  2. In Progress (1-3 min)
    • Checking out code
    • Installing dependencies
    • Building Jekyll site
    • Running tests
    • Deploying to GitHub Pages
  3. Completed (3-5 min total)
    • Website deployed
    • GitHub Pages updated
    • Changes live at https://agentmeshcommunicationprotocol.github.io

Interpreting Results

Success

✓ SUCCESS: Workflow completed successfully!
Website: https://agentmeshcommunicationprotocol.github.io

Action: Website is live with latest changes

Failure

✗ FAILURE: Workflow failed with conclusion: failure
Check logs: https://github.com/.../actions/runs/12345678

Action: Check logs for error details, review recent changes

Pending

⏳ PENDING: Workflow is currently running...

Action: Wait for completion, check back in 30 seconds

Troubleshooting

Script Won’t Run

Problem: “Permission denied” Solution:

chmod +x monitor_github_actions.py
chmod +x monitor-github-actions.sh

Python: “ModuleNotFoundError: No module named ‘requests’”

Problem: requests library not installed Solution:

pip install requests
# or
pip3 install requests

API Rate Limiting

Problem: “Failed to fetch workflow: 403 Forbidden” Solution:

  • GitHub API has rate limits (60 requests/hour unauthenticated)
  • Wait a few minutes and try again
  • Or use GitHub token for higher limits

Timeout

Problem: “Monitoring timeout - workflow took too long” Solution:

  • Increase timeout: python3 monitor_github_actions.py --watch --timeout 7200
  • Check GitHub Actions page for issues
  • Verify website status manually

Advanced Usage

Monitor in Background

# Run in background
nohup python3 monitor_github_actions.py --watch > monitoring.log 2>&1 &

# Check log file
tail -f monitoring.log

# Stop monitoring
pkill -f monitor_github_actions.py

Monitor Multiple Deployments

# Monitor in one terminal
python3 monitor_github_actions.py --watch

# In another terminal, check website
curl -I https://agentmeshcommunicationprotocol.github.io

Automated Monitoring

# Create a cron job to check every 5 minutes
*/5 * * * * cd /path/to/repo && python3 monitor_github_actions.py >> monitoring.log 2>&1

Email Notifications (Future)

# Bash version has placeholder for email
./monitor-github-actions.sh --watch --email

Monitoring Checklist

Before Deployment

  • All changes committed
  • All changes pushed to GitHub
  • No uncommitted changes

During Deployment

  • Run monitoring script
  • Watch for status updates
  • Check for any errors

After Deployment

  • Verify website is live
  • Check all sections load
  • Test video playback
  • Verify responsive design

Key Metrics to Track

Workflow Metrics

  • Status: queued, in_progress, completed
  • Conclusion: success, failure, cancelled
  • Duration: Total time from start to finish
  • Run ID: Unique identifier for workflow run

Website Metrics

  • Deploy Time: Time from push to live
  • Build Time: Time to build Jekyll site
  • Success Rate: Percentage of successful deployments

Resources

GitHub Actions

  • Actions Page: https://github.com/agentmeshcommunicationprotocol/agentmeshcommunicationprotocol.github.io/actions
  • Workflow Runs: https://github.com/agentmeshcommunicationprotocol/agentmeshcommunicationprotocol.github.io/actions?query=branch%3Amain

Website

  • Live Site: https://agentmeshcommunicationprotocol.github.io
  • GitHub Pages: https://pages.github.com/

Documentation

  • GitHub Actions Docs: https://docs.github.com/en/actions
  • Jekyll Docs: https://jekyllrb.com/docs/

Script Comparison

Feature Bash Python
Dependencies curl, grep, sed requests library
Reliability Good Excellent
Error Handling Basic Advanced
Output Quality Good Excellent
Performance Fast Fast
Maintainability Medium High
Recommended Fallback Primary

Summary

What’s Included

✅ monitor_github_actions.py - Python monitoring script (recommended) ✅ monitor-github-actions.sh - Bash monitoring script (fallback) ✅ Comprehensive documentation - This guide ✅ Multiple usage options - Single check or continuous watch

How to Use

  1. Run Python script: python3 monitor_github_actions.py --watch
  2. Or Bash script: ./monitor-github-actions.sh --watch
  3. Monitor until deployment completes
  4. Verify website is live

Expected Results

  • Workflow completes in 2-5 minutes
  • Website updates live at https://agentmeshcommunicationprotocol.github.io
  • All changes deployed successfully

Setup Date: 2025-11-16 Status: ✅ READY FOR USE Recommended: Python version with –watch flag Next Action: Run monitoring script to track deployment