APM vs Synthetic Performance

Developers should learn and use APM to proactively detect and resolve performance issues in production environments, especially for complex, distributed applications like microservices or cloud-native systems meets developers should learn and use synthetic performance testing to proactively detect performance bottlenecks, ensure application reliability, and meet service-level agreements (slas) in production environments. Here's our take.

APM

Nice Pick

Developers should learn and use APM to proactively detect and resolve performance issues in production environments, especially for complex, distributed applications like microservices or cloud-native systems

Pros

• It is crucial for maintaining high availability, improving user satisfaction, and reducing downtime by providing insights into application behavior under load
• Related to: observability, distributed-tracing

Cons

• Specific tradeoffs depend on your use case

Synthetic Performance

Developers should learn and use synthetic performance testing to proactively detect performance bottlenecks, ensure application reliability, and meet service-level agreements (SLAs) in production environments

Pros

• It is particularly valuable for continuous integration/continuous deployment (CI/CD) pipelines, where automated tests can catch regressions early, and for benchmarking against competitors or industry standards
• Related to: performance-testing, load-testing

Cons

• Specific tradeoffs depend on your use case

The Verdict

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

The Bottom Line

APM wins

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

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