parca

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Published: Mar 25, 2022 License: Apache-2.0

README ΒΆ

contributors

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

Screenshot of Parca

Features

  • eBPF Profiler: A single profiler, using eBPF, automatically discovering targets from Kubernetes or systemd across the entire infrastructure with very low overhead. Supports C, C++, Rust, Go, and more!

  • Open Standards: Both producing pprof formatted profiles with the eBPF based profiler, and ingesting any pprof formatted profiles allowing for wide language adoption and interoperability with existing tooling.

  • Optimized Storage & Querying: Efficiently storing profiling data while retaining raw data and allowing slicing and dicing of data through a label-based search. Aggregate profiling data infrastructure wide, view single profiles in time or compare on any dimension.

Why?

  • Save Money: Many organizations have 20-30% of resources wasted with easily optimized code paths. The Parca Agent aims to lower the entry bar by requiring 0 instrumentation for the whole infrastructure. Deploy in your infrastructure and get started!
  • Improve Performance: Using profiling data collected over time, Parca can with confidence and statistical significance determine hot paths to optimize. Additionally it can show differences between any label dimension, such as deploys, versions, and regions.
  • Understand Incidents: Profiling data provides unique insight and depth into what a process executed over time. Memory leaks, but also momentary spikes in CPU or I/O causing unexpected behavior, is traditionally difficult to troubleshoot are a breeze with continuous profiling.

Feedback & Support

If you have any feedback, please open a discussion in the GitHub Discussions of this project.
We would love to learn what you think!

Installation & Documentation

Check Parca's website for updated and in-depth installation guides and documentation!

parca.dev

Development

You need to have Go, Node and Yarn installed.

Clone the project

git clone https://github.com/parca-dev/parca.git

Go to the project directory

cd parca

Build the UI and compile the Go binaries

make build

Running the compiled Parca binary

The binary was compiled to bin/parca .

./bin/parca

Now Parca is running locally and its web UI is available on http://localhost:7070/.

By default Parca is scraping it's own pprof endpoints and you should see profiles show up over time. The scrape configuration can be changed in the parca.yaml in the root of the repository.

Configuration

Flags:

Usage: parca

Flags:
  -h, --help                    Show context-sensitive help.
      --config-path="parca.yaml"
                                Path to config file.
      --mode="all"              Scraper only runs a scraper that sends to a
                                remote gRPC endpoint. All runs all components.
      --log-level="info"        log level.
      --port=":7070"            Port string for server
      --cors-allowed-origins=CORS-ALLOWED-ORIGINS,...
                                Allowed CORS origins.
      --otlp-address=STRING     OpenTelemetry collector address to send traces
                                to.
      --version                 Show application version.
      --path-prefix=""          Path prefix for the UI
      --storage-tsdb-retention-time=6h
                                How long to retain samples in storage.
      --symbolizer-demangle-mode="simple"
                                Mode to demangle C++ symbols. Default mode is
                                simplified: no parameters, no templates, no
                                return type
      --symbolizer-number-of-tries=3
                                Number of tries to attempt to symbolize an
                                unsybolized location
      --metastore="badgerinmemory"
                                Which metastore implementation to use
      --debug-infod-upstream-servers=https://debuginfod.elfutils.org,...
                                Upstream debuginfod servers. Defaults to
                                https://debuginfod.elfutils.org. It is an
                                ordered list of servers to try. Learn more at
                                https://sourceware.org/elfutils/Debuginfod.html
      --debug-infod-http-request-timeout=5m
                                Timeout duration for HTTP request to upstream
                                debuginfod server. Defaults to 5m
      --store-address=STRING    gRPC address to send profiles and symbols to.
      --bearer-token=STRING     Bearer token to authenticate with store.
      --bearer-token-file=STRING
                                File to read bearer token from to authenticate
                                with store.
      --insecure                Send gRPC requests via plaintext instead of TLS.
      --insecure-skip-verify    Skip TLS certificate verification.
      --external-label=KEY=VALUE;...
                                Label(s) to attach to all profiles in
                                scraper-only mode.

Credits

Parca was originally developed by Polar Signals. Read the announcement blog post: https://www.polarsignals.com/blog/posts/2021/10/08/introducing-parca-we-got-funded/

Contributing

Check out our Contributing Guide to get started! It explains how compile Parca, run it with Tilt as container in Kubernetes and send a Pull Request.

Contributors ✨

Thanks goes to these wonderful people (emoji key):


Frederic Branczyk

πŸ’» πŸ“– πŸš‡

Thor

πŸ’» πŸ“– πŸš‡

Matthias Loibl

πŸ’» πŸ“– πŸš‡

Kemal Akkoyun

πŸ’» πŸ“–

Sumera Priyadarsini

πŸ’» πŸ“–

JΓ©ssica Lins

πŸ“–

Holger Freyther

πŸ’»

Sergiusz Urbaniak

πŸš‡

PaweΕ‚ Krupa

πŸš‡

Ben Ye

πŸ’» πŸš‡

Felix

πŸ’» πŸ“– πŸš‡

Christian Bargmann

πŸ’»

Yomi Eluwande

πŸ’» πŸ“–

Manoj Vivek

πŸ’» πŸ“–

Monica Wojciechowska

πŸ’» πŸ“–

Manuel RΓΌger

πŸš‡

Avinash Upadhyaya K R

πŸ’»

Ikko Ashimine

πŸ’»

Maxime Brunet

πŸ’»

rohit

πŸ’»

Ujjwal Goyal

πŸ“–

This project follows the all-contributors specification. Contributions of any kind welcome!

Directories ΒΆ

Path Synopsis
cmd
gen
proto/go/parca/debuginfo/v1alpha1
Package debuginfov1alpha1 is a reverse proxy.
Package debuginfov1alpha1 is a reverse proxy.
proto/go/parca/profilestore/v1alpha1
Package profilestorev1alpha1 is a reverse proxy.
Package profilestorev1alpha1 is a reverse proxy.
proto/go/parca/query/v1alpha1
Package queryv1alpha1 is a reverse proxy.
Package queryv1alpha1 is a reverse proxy.
proto/go/parca/scrape/v1alpha1
Package scrapev1alpha1 is a reverse proxy.
Package scrapev1alpha1 is a reverse proxy.
internal
go/debug/elf
Package elf implements access to ELF object files.
Package elf implements access to ELF object files.
pkg
runutil
Package runutil provides helpers to advanced function scheduling control like repeat or retry.
Package runutil provides helpers to advanced function scheduling control like repeat or retry.

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