Parca Agent is an always-on sampling profiler that uses eBPF to capture raw profiling data with very low overhead. It observes user-space and kernel-space stacktraces 19 times per second and builds pprof formatted profiles from the extracted data. Read more details in the design documentation.
The collected data can be viewed locally via HTTP endpoints and then be configured to be sent to a Parca server to be queried and analyzed over time.
- Linux Kernel version 5.3+ with BTF
See the Kubernetes Getting Started.
Parca Agent is continuously enhancing its support for multiple languages. Incomplete list of languages we currently support:
- C, C++, Go (with extended support), Rust
- .NET, Deno, Erlang, Java, Julia, Node.js, Wasmtime, PHP 8 and above
- Ruby, Python
Please check our docs for further information.
Note
Further language support is coming in the upcoming weeks and months.
Types of profiles that are available:
- On-CPU
- Soon: Network usage, Allocations
Note
Please check our docs if your language is supported.
The following types of profiles require explicit instrumentation:
- Runtime specific information such as Goroutines
To debug potential errors, enable debug logging using --log-level=debug.
Flags:
Usage: parca-agent
Flags:
-h, --help Show context-sensitive help.
--log-level="info" Log level.
--log-format="logfmt" Configure if structured logging as JSON or as
logfmt
--http-address="127.0.0.1:7071"
Address to bind HTTP server to.
--version Show application version.
--node="hostname" The name of the node that the process is
running on. If on Kubernetes, this must match
the Kubernetes node name.
--config-path="" Path to config file.
--memlock-rlimit=0 The value for the maximum number of bytes
of memory that may be locked into RAM. It is
used to ensure the agent can lock memory for
eBPF maps. 0 means no limit.
--mutex-profile-fraction=0
Fraction of mutex profile samples to collect.
--block-profile-rate=0 Sample rate for block profile.
--profiling-duration=10s The agent profiling duration to use. Leave
this empty to use the defaults.
--profiling-cpu-sampling-frequency=19
The frequency at which profiling data is
collected, e.g., 19 samples per second.
--profiling-perf-event-buffer-poll-interval=250ms
The interval at which the perf event buffer
is polled for new events.
--profiling-perf-event-buffer-processing-interval=100ms
The interval at which the perf event buffer
is processed.
--profiling-perf-event-buffer-worker-count=4
The number of workers that process the perf
event buffer.
--metadata-external-labels=KEY=VALUE;...
Label(s) to attach to all profiles.
--metadata-container-runtime-socket-path=STRING
The filesystem path to the container runtimes
socket. Leave this empty to use the defaults.
--metadata-disable-caching
Disable caching of metadata.
--local-store-directory=STRING
The local directory to store the profiling
data.
--remote-store-address=STRING
gRPC address to send profiles and symbols to.
--remote-store-bearer-token=STRING
Bearer token to authenticate with store
($PARCA_BEARER_TOKEN).
--remote-store-bearer-token-file=STRING
File to read bearer token from to
authenticate with store.
--remote-store-insecure Send gRPC requests via plaintext instead of
TLS.
--remote-store-insecure-skip-verify
Skip TLS certificate verification.
--remote-store-batch-write-interval=10s
Interval between batch remote client writes.
Leave this empty to use the default value of
10s.
--remote-store-rpc-logging-enable
Enable gRPC logging.
--remote-store-rpc-unary-timeout=5m
Maximum timeout window for unary gRPC
requests including retries.
--debuginfo-directories=/usr/lib/debug,...
Ordered list of local directories to search
for debuginfo files.
--debuginfo-temp-dir="/tmp"
The local directory path to store the interim
debuginfo files.
--debuginfo-strip Only upload information needed for
symbolization. If false the exact binary the
agent sees will be uploaded unmodified.
--debuginfo-compress Compress debuginfo files' DWARF sections
before uploading.
--debuginfo-upload-disable
Disable debuginfo collection and upload.
--debuginfo-upload-max-parallel=25
The maximum number of debuginfo upload
requests to make in parallel.
--debuginfo-upload-timeout-duration=2m
The timeout duration to cancel upload
requests.
--debuginfo-upload-cache-duration=5m
The duration to cache debuginfo upload
responses for.
--debuginfo-disable-caching
Disable caching of debuginfo.
--symbolizer-jit-disable Disable JIT symbolization.
--otlp-address=STRING The endpoint to send OTLP traces to.
--otlp-exporter="grpc" The OTLP exporter to use.
--object-file-pool-eviction-policy="lru"
The eviction policy to use for the object
file pool.
--object-file-pool-size=100
The maximum number of object files to keep in
the pool. This is used to avoid re-reading
object files from disk. It keeps FDs open,
so it should be kept in sync with ulimits.
0 means no limit.
--dwarf-unwinding-disable Do not unwind using .eh_frame information.
--dwarf-unwinding-mixed Unwind using .eh_frame information and frame
pointers.
--python-unwinding-disable
Disable Python unwinder.
--ruby-unwinding-disable Disable Ruby unwinder.
--analytics-opt-out Opt out of sending anonymous usage
statistics.
--telemetry-disable-panic-reporting
--telemetry-stderr-buffer-size-kb=4096
--bpf-verbose-logging Enable verbose BPF logging.
--bpf-events-buffer-size=8192
Size in pages of the events buffer.
--verbose-bpf-logging [deprecated] Use --bpf-verbose-logging.
Enable verbose BPF logging.Parca Agent supports Prometheus relabeling. The following labels are always attached to profiles:
node: The name of the node that the process is running on as specified by the--nodeflag.comm: The command name of the process being profiled.
And optionally you can attach additional labels using the --metadata-external-labels flag.
Using relabeling the following labels can be attached to profiles:
__meta_process_pid: The process ID of the process being profiled.__meta_process_cmdline: The command line arguments of the process being profiled.__meta_process_cgroup: The (main) cgroup of the process being profiled.__meta_process_ppid: The parent process ID of the process being profiled.__meta_process_executable_file_id: The file ID (a hash) of the executable of the process being profiled.__meta_process_executable_name: The basename of the executable of the process being profiled.__meta_process_executable_build_id: The build ID of the executable of the process being profiled.__meta_process_executable_compiler: The compiler used to build the executable of the process being profiled.__meta_process_executable_static: Whether the executable of the process being profiled is statically linked.__meta_process_executable_stripped: Whether the executable of the process being profiled is stripped from debuginfo.__meta_system_kernel_release: The kernel release of the system.__meta_system_kernel_machine: The kernel machine of the system (typically the architecture).__meta_thread_comm: The command name of the thread being profiled.__meta_thread_id: The PID of the thread being profiled.__meta_agent_revision: The revision of the agent.__meta_kubernetes_namespace: The namespace of the pod the process is running in.__meta_kubernetes_pod_name: The name of the pod the process is running in.__meta_kubernetes_pod_label_*: The value of the label*of the pod the process is running in.__meta_kubernetes_pod_labelpresent_*: Whether the label*of the pod the process is running in is present.__meta_kubernetes_pod_annotation_*: The value of the annotation*of the pod the process is running in.__meta_kubernetes_pod_annotationpresent_*: Whether the annotation*of the pod the process is running in is present.__meta_kubernetes_pod_ip: The IP of the pod the process is running in.__meta_kubernetes_pod_container_name: The name of the container the process is running in.__meta_kubernetes_pod_container_id: The ID of the container the process is running in.__meta_kubernetes_pod_container_image: The image of the container the process is running in.__meta_kubernetes_pod_container_init: Whether the container the process is running in is an init container.__meta_kubernetes_pod_ready: Whether the pod the process is running in is ready.__meta_kubernetes_pod_phase: The phase of the pod the process is running in.__meta_kubernetes_node_name: The name of the node the process is running on.__meta_kubernetes_pod_host_ip: The host IP of the pod the process is running in.__meta_kubernetes_pod_uid: The UID of the pod the process is running in.__meta_kubernetes_pod_controller_kind: The kind of the controller of the pod the process is running in.__meta_kubernetes_pod_controller_name: The name of the controller of the pod the process is running in.__meta_kubernetes_node_label_*: The value of the label*of the node the process is running on.__meta_kubernetes_node_labelpresent_*: Whether the label*of the node the process is running on is present.__meta_kubernetes_node_annotation_*: The value of the annotation*of the node the process is running on.__meta_kubernetes_node_annotationpresent_*: Whether the annotation*of the node the process is running on is present.__meta_docker_container_id: The ID of the container the process is running in.__meta_docker_container_name: The name of the container the process is running in.__meta_docker_build_kit_container_id: The ID of the container the process is running in.__meta_containerd_container_id: The ID of the container the process is running in.__meta_containerd_container_name: The name of the container the process is running in.__meta_containerd_pod_name: The name of the pod the process is running in.__meta_lxc_container_id: The ID of the container the process is running in.
Parca Agent is required to be running as root user (or CAP_SYS_ADMIN). Various security precautions have been taken to protect users running Parca Agent. See details in Security Considerations.
To report a security vulnerability, see this guide.
Check out our Contributing Guide to get started!
User-space code: Apache 2
Kernel-space code (eBPF profilers): GNU General Public License, version 2
Thanks to:
- Kinvolk for creating Inspektor Gadget; some parts of this project were inspired by parts of it.
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