Performance Monitoring

To monitor application performance and detect regressions, you need to define key metrics like latency, instrument your services, set alert thresholds, and review trend data to track user experience over time.

Key metrics to monitor application performance include latency, error rate, and throughput. Defining these performance indicators allows you to instrument services and track user experience effectively.

To set up alerts for API latency, define a predefined threshold for metrics like p95 response time. When instrumentation detects the threshold is exceeded, an alert indicates a potential performance issue.

Yes, performance monitoring tracks user experience over time by collecting data from instrumented services and web pages, analyzing trend data to identify bottlenecks and ensure service reliability.

The best way to detect performance bottlenecks is by instrumenting services to collect performance data, setting actionable alert thresholds, and reviewing trend analysis to identify regressions before users are impacted.

Yes, you need to instrument services and web pages to collect performance data. This instrumentation captures the metrics required for setting alerts and analyzing trends to detect regressions.