What is Parca?
It is a continuous profiling project. Continuous profiling is the act of taking profiles (such as CPU, Memory, I/O and more) of programs in a systematic way. It collects, stores and makes profiles available to be queried over time.
Parca is a tool in the Performance Monitoring category of a tech stack.
Parca is an open source tool with 3.8K GitHub stars and 205 GitHub forks. Here’s a link to Parca's open source repository on GitHub
Who uses Parca?
Parca Integrations
Parca's Features
- A multi-dimensional data model with series of profiles identified by the profile type and key/value pairs
- A label-selector based query language
- Query engine specifically designed for profiling data
- Optimized, built-in storage
- Support for pushing and pulling profiles from targets
- Targets are discovered via service discovery or static configuration
- Super low overhead profiler, powered by eBPF
Parca Alternatives & Comparisons
What are some alternatives to Parca?
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Git
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Python
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jQuery
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