Parca an open source continuous profiler

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  • parca

    Continuous profiling for analysis of CPU and memory usage, down to the line number and throughout time. Saving infrastructure cost, improving performance, and increasing reliability.

  • * Understanding change: Performance engineering tends to be very sensitive and small changes can have a big impact, therefore the ability to deeply understand what changed from a point in time or a newly rolled out version of a software is invaluable for optimizing but also in order to understand incidents better.

    Parca features a fully from scratch designed storage which implements multiple optimizations that are unique to profiling data, specifically our sparse XOR encoding for uint64 series is what allows us to store this data at raw resolution. More detailed information can be found in the storage docs[3]. And with the newly open sourced Parca Agent[4], we can capture CPU profiling data with practically unnoticeable overhead for the profiled processes, it automatically discovers all containers in a Kubernetes cluster and starts profiling them with zero instrumentation needed!

    This is only the beginning of the project, but we are excited to work with the community to make this project more and more useful!

    We will be hanging out in the comments section today, so please leave your feedback, criticisms, or just say hi!

    [1] https://parca.dev/

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