Profiling is achieved by instrumenting either the program source code or its binary executable form using a tool called a profiler (or code profiler). Profilers may use a number of different techniques, such as event-based, statistical, instrumented, and simulation methods.
Continuous profiling can help you understand systems resource usage (CPU, memory, etc.), identify performance bottlenecks, locate memory leaks and analyse the call stack of your applications. You can also use it as a method to track performance changes over time.
- Current state of Continuous Profiling, Dec 2021
Datadog Continuous Profiler¶
Google Cloud Profiler¶
From profiles to understanding. Open Source Infrastructure-wide continuous profiling
- Parca was open-source by Polar Signals in 2021
- Parca's old name was
Conprofwhich can be seen in the KubeCon NA 2021 talk
- FlameQL is the Pyroscope query language.