How OpenTelemetry Auto-Instrumentation Works
OpenTelemetry auto-instrumentation uses runtime hooks and agents to collect telemetry without code changes—covering most modern stacks.
OpenTelemetry auto-instrumentation uses runtime hooks and agents to collect telemetry without code changes—covering most modern stacks.

Learn how to scale Prometheus APM for growing systems with practical strategies to keep queries fast and monitoring efficient.

Understand observability vs visibility: visibility shows current states, while observability uncovers why systems act the way they do.

New services deploy faster than you can track them. Discover Services auto-discovers your entire architecture from traces—convention over configuration. No manual catalogs.

Understand how to name spans, attributes, and metrics in OpenTelemetry for consistent, queryable, and reliable observability data.

Compare 11 top Java APM tools, from open-source options to enterprise platforms, and find the best fit for your applications.

Run Prometheus reliably on AWS with patterns for scale, cost control, and visibility across EKS, EC2, and multi-region setups.

Learn how to connect Jaeger with your APM to combine tracing and performance monitoring for deeper system visibility.

Understand key APM metrics like response time, error rates, throughput, and resource usage to keep your applications reliable and fast.
