Parca - Open Source infrastructure-wide continuous profiling

Parca - Open Source infrastructure-wide continuous profilingTrackMemory.CPU.IO.Bottlenecks Try it NowTry it Now Get a full picture of how your app performs in production. Multi-dimensional data model Optimized, built-in storage Support for pushing and pulling profiles from targets Query engine specifically designed for profiling data Targets are discovered via service discovery or static configuration Label-selector based query language Join the community! Join us on a bi-weekly public meetings: Incoming Parca v0.15, Debuginfo signed upload API, Agent BTF support Parca Agent v0.10, System-wide profiling, stack unwinding using DWARF, and Grafana 9.3.0 with Parca Parca v0.14.0 Reduce API responsize, Auto-complete improvements; Parca Agent v0.10.0-rc.0 highlights Parca as Grafana Core plugin, DWARF-based native unwinding updates, Callgraph improvements Parca v0.13.0, Grafana plugin, Parca Agents on targets page, Callgraph imporvements, Performance Impressive Query Performance Improvements, Stack Unwinding Updates

Outline

TrackMemory.CPU.IO.Bottlenecks
Broken down const t="undefined"!=typeof HTMLImageElement&&"loading"in HTMLImageElement.prototype;if(t){const t=document.querySelectorAll("img[data-main-image]");for(let e of t){e.dataset.src&&(e.setAttribute("src",e.dataset.src),e.removeAttribute("data-src")),e.dataset.srcset&&(e.setAttribute("srcset",e.dataset.srcset),e.removeAttribute("data-srcset"));const t=e.parentNode.querySelectorAll("source[data-srcset]");for(let e of t)e.setAttribute("srcset",e.dataset.srcset),e.removeAttribute("data-srcset");e.complete&&(e.style.opacity=1,e.parentNode.parentNode.querySelector("[data-placeholder-image]").style.opacity=0)}} by method name, class name, and line number. Without complex overhead, in any language or framework.
Thanks to eBPF's nature, Parca Agent operates in Linux kernel space allowing it to grab exactly the data needed at low overhead.
Get a full picture of how your app performs in production.
Never miss the important data with a continuous profiling.
Build faster and more reliable apps with Parca
Reduce cost
Improve Performance
Fast debugging
Catch regressions
Many organizations have 20-30% of resources wasted in easily optimized code paths. The Parca Agent aims to lower the bar of starting to profile by requiring zero-instrumentation for the whole infrastructure.
Join the const t="undefined"!=typeof HTMLImageElement&&"loading"in HTMLImageElement.prototype;if(t){const t=document.querySelectorAll("img[data-main-image]");for(let e of t){e.dataset.src&&(e.setAttribute("src",e.dataset.src),e.removeAttribute("data-src")),e.dataset.srcset&&(e.setAttribute("srcset",e.dataset.srcset),e.removeAttribute("data-srcset"));const t=e.parentNode.querySelectorAll("source[data-srcset]");for(let e of t)e.setAttribute("srcset",e.dataset.srcset),e.removeAttribute("data-srcset");e.complete&&(e.style.opacity=1,e.parentNode.parentNode.querySelector("[data-placeholder-image]").style.opacity=0)}} community!