Synthetic Monitoring Overview
Synthetic monitoring runs automated tests against your production systems at regular intervals to:Validate Availability
Ensure your services are accessible and responding correctly
Monitor Performance
Track response times and performance metrics over time
Detect Regressions
Identify performance degradation after deployments
Test Critical Flows
Verify key user journeys work as expected
Creating Synthetic Tests
Synthetic tests should be lightweight and focused on critical functionality:Basic Health Check
health-check.js
API Endpoint Monitoring
api-monitor.js
Critical User Journey
user-journey-monitor.js
Using Grafana Cloud Synthetic Monitoring
Grafana Cloud provides managed synthetic monitoring with k6:Configure the check
Set up the check in Grafana Cloud with:
- Check frequency (1-60 minutes)
- Probe locations (multiple regions)
- Alert thresholds
Set up alerts
Configure notifications for:
- Availability issues
- Performance degradation
- Failed checks
Example Synthetic Monitoring Script
synthetic-check.js
Scheduling Synthetic Tests
- Cron Jobs
- Kubernetes CronJob
- GitHub Actions
Monitoring Best Practices
Use Minimal Load
Set Realistic Thresholds
Tag for Better Analysis
Monitor Multiple Regions
Alerting Strategies
Threshold-Based Alerts
Consecutive Failure Alerts
Visualization and Analysis
Grafana Dashboard Example
Prometheus Queries
Complete Monitoring Setup
production-monitor.js
This monitoring setup provides comprehensive coverage of infrastructure, APIs, and critical user flows with detailed metrics and alerting.
Next Steps
- Learn about test automation for comprehensive CI/CD integration
- Explore Grafana Cloud Synthetic Monitoring for managed monitoring
- Set up alerting in Grafana for proactive notifications
- Review k6 metrics for detailed performance tracking