Uprofiler

Uprofiler is a cross-language performance profiling tool designed to help developers understand the runtime behavior of software applications. It collects CPU sampling data, memory allocation information, and I/O activity, and presents findings through flame graphs, call trees, and dashboards. The project emphasizes low overhead and interpretability, making it suitable for use during development and in production when profiling is safe.

Architecture and data flow: Uprofiler uses a lightweight in-process agent that instruments or samples code, a data collector or service that aggregates traces, and a user interface for analysis. Profiling can be performed via sampling to minimize impact or via instrumentation for precise measurements, depending on the user's needs.

Language and platform support: The tool provides language bindings or adapters for common languages such as C, C++, Java, Python, and Go, and runs on major operating systems including Linux, Windows, and macOS, as well as within containers and cloud environments.

Core features: CPU profiling with call graphs, memory profiling with allocation and lifetime tracking, thread and concurrency visualization, I/O profiling, and trace timelines. Uprofiler supports exporting data to standard formats and integrating with continuous integration pipelines and development environments.

Usage model: Developers install the profiling agent in their application, configure the profiling scope and duration, and execute workloads. The resulting reports can be explored in a web UI or exported as flame graphs, call trees, and traces for further analysis.

History and governance: Uprofiler is maintained by an open-source community and hosted on a public repository. Development follows an ongoing release cycle with community contributions and issue tracking, enabling scrutiny and peer review of its profiling data and instrumentation.

See also: profiling tools, performance analysis, flame graph, performance monitoring.