Honeycomb vs Parca
Overview
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CLI (Node.js)
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Detailed Comparison
We built Honeycomb to answer the hard questions that come up when you're trying to operate your software–to debug microservices, serverless, distributed systems, polyglot persistence, containers, and a world of fast, parallel deploys. | 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. |
High-performance querying against high-cardinality or sparse events.; Accepts any structured JSON objects with a write key.; Submit events via API.; Open source agents, log tailers, SDKs, and integrations.; Customizable high-performance query windows.; Customizable storage windows provide control over retention and costs.; Always have access to the the raw data behind query results and graphs.; Shared boards.; Individual and team query histories.; Triggers and notifications.; Secure Tenancy for data compliance. | 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 |
Statistics | |
GitHub Stars - | GitHub Stars 4.6K |
GitHub Forks - | GitHub Forks 242 |
Stacks 80 | Stacks 3 |
Followers 112 | Followers 5 |
Votes 8 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
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