Apache 2 License Build Container parca Discord 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.
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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!
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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.
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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.
- 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.
If you have any feedback, please open a discussion in the GitHub Discussions of this project. We would love to learn what you think!
Check Parca's website for updated and in-depth installation guides and documentation!
You need to have Go, Node and Pnpm installed.
Clone the project
git clone https://github.com/parca-dev/parca.git
Go to the project directory
cd parcaBuild the UI and compile the Go binaries
make build
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.
Flags:
Usage: parca [flags]
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.
--http-address=":7070" Address to bind HTTP server to.
--http-read-timeout=5s Timeout duration for HTTP server to read
request body.
--http-write-timeout=1m Timeout duration for HTTP server to write
response body.
--port="" (DEPRECATED) Use http-address instead.
--log-level="info" Log level.
--log-format="logfmt" Configure if structured logging as JSON or as
logfmt
--otlp-address=STRING The endpoint to send OTLP traces to.
--otlp-exporter="grpc" The OTLP exporter to use.
--otlp-insecure If true, disables TLS for OTLP exporters (both
gRPC and HTTP).
--cors-allowed-origins=CORS-ALLOWED-ORIGINS,...
Allowed CORS origins.
--version Show application version.
--path-prefix="" Path prefix for the UI
--mutex-profile-fraction=0
Fraction of mutex profile samples to collect.
--block-profile-rate=0 Sample rate for block profile.
--enable-persistence Turn on persistent storage for the metastore
and profile storage.
--storage-active-memory=536870912
Amount of memory to use for active storage.
Defaults to 512MB.
--storage-path="data" Path to storage directory.
--storage-enable-wal Enables write ahead log for profile storage.
--storage-snapshot-trigger-size=134217728
Number of bytes to trigger a snapshot. Defaults
to 1/4 of active memory. This is only used if
enable-wal is set.
--storage-row-group-size=8192
Number of rows in each row group during
compaction and persistence. Setting to <= 0
results in a single row group per file.
--storage-index-on-disk Whether to store the index on disk instead
of in memory. Useful to reduce the memory
footprint of the store.
--symbolizer-demangle-mode="simple"
Mode to demangle C++ symbols. Default mode
is simplified: no parameters, no templates,
no return type
--symbolizer-external-addr-2-line-path=""
Path to addr2line utility, to be used for
symbolization instead of native implementation
--symbolizer-number-of-tries=3
Number of tries to attempt to symbolize an
unsybolized location
--debuginfo-cache-dir="/tmp"
Path to directory where debuginfo is cached.
--debuginfo-upload-max-size=1000000000
Maximum size of debuginfo upload in bytes.
--debuginfo-upload-max-duration=15m
Maximum duration of debuginfo upload.
--debuginfo-uploads-signed-url
Whether to use signed URLs for debuginfo
uploads.
--debuginfod-upstream-servers=debuginfod.elfutils.org,...
Upstream debuginfod servers. Defaults to
debuginfod.elfutils.org. It is an ordered
list of servers to try. Learn more at
https://sourceware.org/elfutils/Debuginfod.html
--debuginfod-http-request-timeout=5m
Timeout duration for HTTP request to upstream
debuginfod server. Defaults to 5m
--profile-share-server="api.pprof.me:443"
gRPC address to send share profile requests to.
--store-address=STRING gRPC address to send profiles and symbols to.
--bearer-token=STRING Bearer token to authenticate with store
($PARCA_BEARER_TOKEN).
--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.
--grpc-headers=KEY=VALUE;...
Additional gRPC headers to send with each
request to the remote store (key=value pairs).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/
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.
Thanks goes to these wonderful people (emoji key):
Frederic Branczyk
π» π π Thor
Thor
π» π π Matthias Loibl
Matthias Loibl
π» π π Kemal Akkoyun
Kemal Akkoyun
π» π Sumera Priyadarsini
Sumera Priyadarsini
π» π
JΓ©ssica Lins
π Holger Freyther
Holger Freyther
π» Sergiusz Urbaniak
Sergiusz Urbaniak
π PaweΕ Krupa
PaweΕ Krupa
π Ben Ye
Ben Ye
π» π
Felix
π» π π Christian Bargmann
Christian Bargmann
π» Yomi Eluwande
Yomi Eluwande
π» π Manoj Vivek
Manoj Vivek
π» π Monica Wojciechowska
Monica Wojciechowska
π» π
Manuel RΓΌger
π Avinash Upadhyaya K R
Avinash Upadhyaya K R
π» Ikko Ashimine
Ikko Ashimine
π» Maxime Brunet
Maxime Brunet
π» π rohit
rohit
π»
Ujjwal Goyal
π Javier Honduvilla Coto
Javier Honduvilla Coto
π» Marsel Mavletkulov
Marsel Mavletkulov
π» Kautilya Tripathi
Kautilya Tripathi
π» Jon Seager
Jon Seager
π»
Philip Gough
π» Boran Seref
Boran Seref
π» Wen Long
Wen Long
π» cui fliter
cui fliter
π Alfonso Subiotto MarquΓ©s
Alfonso Subiotto MarquΓ©s
π»
TomHellier
π» Stefan VanBuren
Stefan VanBuren
π» Carlos Tadeu Panato Junior
Carlos Tadeu Panato Junior
π Daniel (Shijun) Qian
Daniel (Shijun) Qian
π» Alex Vest
Alex Vest
π
This project follows the all-contributors specification. Contributions of any kind welcome!
We use Meticulous to automatically test our UI for any unwanted changes.