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 4.2K GitHub stars and 217 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?
New Relic
The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.
Kibana
Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.
Grafana
Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
Sentry
Sentry’s Application Monitoring platform helps developers see performance issues, fix errors faster, and optimize their code health.
Amazon CloudWatch
It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment.
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