Continuous Profiling Platform. Debug performance issues down to a single line of code
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.
Perforator is a cluster-wide continuous profiling tool designed for large data centers
🔥 horizontally-scalable, highly-available, multi-tenant continuous profiling aggregation system
eBPF based always-on CPU/GPU profiler auto-discovering targets in Kubernetes and systemd, zero code changes or restarts needed!
Continuous profiling for long-term postmortem analysis
Convert jemalloc heap profiles to pprof to understand memory usage, fix memory leaks, and fix OOM Kills.
Continuous profiling based on pprof
DuckDB Pyroscope Extension for Continuous Profiling
PHP profiler that sends CPU sampling data to Pyroscope server.
Continuous profiling app for Caddy
Deploy and Operator Parca
Experimental Jsonnet libraries for Parca
Polar Signals Cloud Documentation
Self-hosted, OpenTelemetry-native observability with native cross-signal correlation - powered by one storage layer and one query engine.
CLI that turns a Parca server into a cross-cluster CPU bottleneck report
High-throughput Distributed APM & Continuous Profiling Platform engineered in Java 21 LTS (Spring WebFlux / Virtual Threads), ClickHouse Columnar Storage, Fastutil Symbol-Interned Prefix Trees, and Next.js 15 (React 19 / D3 Canvas Virtualization).
Polar Signals — independent third-party profile of a public API surface, by API Evangelist. Polar Signals is a continuous profiling company built by the team behind the open-source Parca project. Its Polar Signals Cloud product uses eBPF to continuously profile CPU, memory, and NVIDIA GPU workloads across Kubernetes, Docker, ECS, and bare metal wit
Granulate — independent third-party profile of a public API surface, by API Evangelist. Granulate is a real-time continuous optimization company acquired by Intel in 2022 and now offered as Intel Tiber App-Level Optimization. Its platform autonomously tunes OS-level and runtime behavior (scheduling, memory, networking) for compute, Kubernetes, and
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