parca

us to efficiently scan over large volumes of data, to extract interesting insights from the profiling data. A common first question at this point is: How much overhead does continuous profiling have on the process that is being profiled? Our experiments have shown no more than 5% CPU/memory overhead, but typically within the 1000ths of CPU cores per process and negligible in memory. We have many more ideas to explore, but we wanted to get this private beta out to test it with you, and get your feedback! If you want to try the private beta submit a request on our website, or send me an email (email is in my profile)! The first publicly available feature we have is uploading and sharing pprof profiles for free! No more screenshots of profiles, without the ability to inspect the surrounding context when you have been sent a profile. Share them on GitHub PRs, on slack with your team or however you see fit! Thank you for reading! - Polar Signals Team [1] https://prometheus.io/ [2] https://thanos.io/ [3] https://cortexmetrics.io/ [4] https://github.com/conprof/conprof