Metrics Monitoring vs Synthetic Monitoring

Developers should learn and use metrics monitoring to proactively identify performance bottlenecks, troubleshoot incidents quickly, and maintain high availability in production environments meets developers should use synthetic monitoring to ensure critical user journeys are functioning correctly and meeting performance benchmarks, especially for e-commerce sites, banking apps, or any service where downtime or slow performance directly impacts revenue or user trust. Here's our take.

Metrics Monitoring

Nice Pick

Developers should learn and use metrics monitoring to proactively identify performance bottlenecks, troubleshoot incidents quickly, and maintain high availability in production environments

Pros

• It is essential for modern DevOps and SRE practices, particularly in microservices architectures or cloud-native applications where distributed systems require comprehensive visibility
• Related to: observability, alerting-systems

Cons

• Specific tradeoffs depend on your use case

Synthetic Monitoring

Developers should use synthetic monitoring to ensure critical user journeys are functioning correctly and meeting performance benchmarks, especially for e-commerce sites, banking apps, or any service where downtime or slow performance directly impacts revenue or user trust

Pros

• It is essential for pre-production testing, compliance monitoring, and detecting issues in third-party integrations or dependencies that might not be caught by traditional monitoring
• Related to: application-performance-monitoring, real-user-monitoring

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Metrics Monitoring is a concept while Synthetic Monitoring is a tool. We picked Metrics Monitoring based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Metrics Monitoring wins

Based on overall popularity. Metrics Monitoring is more widely used, but Synthetic Monitoring excels in its own space.