The APM paradox: Too much data, too few answers
20 days ago
- #APM
- #Performance Monitoring
- #Observability
- Application Performance Monitoring (APM) helps developers diagnose slow applications and improve user experience.
- Traditional APMs focus on known issues like N+1 queries and slow external API calls but struggle with unknown problems.
- Legacy APMs provide too much irrelevant data and lack flexibility, leading to high costs and complexity.
- Observability 1.0 combines metrics, logs, and traces but still falls short in handling unknown unknowns.
- Observability 2.0 introduces wide events—structured logs with additional properties—to provide a comprehensive view of system behavior.
- Wide events enable better debugging and business insights by correlating performance, metrics, and context.
- Cost and complexity are major challenges for both APM and observability vendors.
- Honeybadger offers a developer-friendly approach with 'Just enough APM,' focusing on structured logging and actionable insights.
- Honeybadger Insights provides automatic instrumentation, enriched logs, and customizable dashboards for modern observability.