IOpipe vs Parca
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Develop faster with realtime errors, metrics, logs, and profiling. Operate with confidence with monitoring and tracing for AWS Lambda based Serverless applications. | 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. |
metrics; tracing; profiling; alerts; error aggregation; logs; realtime dashboard; weekly reports; Slack integration; PagerDuty integration;
monitoring; error reporting; logging; metrics; analytics; serverless functions; AWS Lambda support; Serverless Framework support | 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 10 | Stacks 3 |
Followers 13 | Followers 5 |
Votes 2 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
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