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Developer ToolsAlternative to Google Cloud ProfilerAlternative to Polar SignalsAlternative to Datadog Continuous Profiler

Parca

Continuous profiling platform for applications and infrastructure using eBPF.

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LicenseApache-2.0
GitHub stars3.5k
Last commit1 weeks ago
Tags6 topics
EbpfPerformanceCpu ProfilerContinuous ProfilingGolangLinux
Overview

Why consider Parca?

Parca is an open-source continuous profiling platform powered by eBPF. It profiles CPU, memory, and I/O utilization across production Linux nodes with zero instrumentation overhead.

Guided learning

Learn Parca by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Parca

Parca captures whole-system continuous profiles (CPU, memory, goroutines, lock contention) down to the kernel level using eBPF without needing code recompilation or application restarts.

Running Parca

bash
1docker run -d \
2 --name parca \
3 -p 7070:7070 \
4 ghcr.io/parca-dev/parca:latest

Access flame graphs and performance diffs on http://localhost:7070.

Parca is licensed under the Apache License Version 2.0.

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Parca FAQs

Parca is listed as a Developer Tools tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Parca is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Parca is listed as an alternative to Google Cloud Profiler. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.