The root cause of a performance transaction can be complex to troubleshoot, but it does not have to be. By using AppDynamics’s built-in machine learning capabilities, we can quickly identify Health Rule violations triggered by transaction response times deviating from their baseline and then combine those with diagnostic capabilities that get us to the specific cause. We are able to drill down into the relevant snapshots to see which method and specific line of code is to blame.

The extended Berkeley Packet Filter, eBPF has resulted in an ecosystem of new tooling that allows running programs in the linux kernel without loading kernel modules. eBPF seeks to do this safety within a secure sandbox environment and has been a boon to observability and security.

Discover how Datadog APM & Continuous Profiler can help you identify the most resource-intensive and time-consuming lines of code. Through always-on production code profiling and thread-level visibility, you can reduce application latency, optimize your code's CPU and memory consumption, and minimize cloud costs.

More about SigNoz: SigNoz - Monitor your applications and troubleshoot problems in your deployed applications, an open-source alternative to DataDog, New Relic, etc. Backed by Y Combinator. SigNoz helps developers monitor applications and troubleshoot problems in their deployed applications. SigNoz uses distributed tracing to gain visibility into your software stack.