Go pprof Web
A developer-focused tool that analyzes Go pprof web data to surface CPU and memory hotspots, top functions, and call graphs for performance tuning.
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About This Tool
The tool implements a domain-focused parsing and aggregation pipeline for pprof data. Required features include: ingesting profile data from local files or remote URLs; parsing CPU, memory, and blocking profiles; normalizing units (ns for time; bytes for memory); computing per-function metrics (total time, samples, allocations); building a lightweight call-graph representation with parent-child contributions; producing summary metrics and structured data for downstream tooling. Optional/advanced features include: filtering by function name, time window, or sampling rate; exporting results as JSON or CSV; supporting multiple profiles in a single run; and detecting outliers.
Inputs include profile_type (CPU, memory, block, mutex), data_source (path or URL), time_window (start-end), and optional filters (focus_function, ignore_noise). Outputs include a structured report with total_samples, total_time_ns, top_functions by time, allocation bytes, and a call-graph data set; timeseries-ready data can be consumed by charts. Validation ensures profile format compatibility and unit consistency.
Parses pprof proto/binary; aggregates samples by function; sums self-time and cumulated time; computes percentages of totals; ranks top contributors; derives simple call paths; outputs JSON-friendly structures for automation. Edge cases and external data failures are handled gracefully. The tool assumes input is valid Go pprof data or a supported dump; excludes UI rendering, editing of profiling data, and non-Go profiler formats. It is not a replacement for Go toolchain installations.
How to Use
- Provide inputs: profile_type (CPU, memory, block, mutex) and data_source (path or URL).
- Optional: set focus_function, time_window, and filters.
- Run analysis: execute parsing and aggregation.
- Review outputs: inspect top functions, total time, allocations, and call-graph data.
- Export results: download as JSON or CSV for automation or reporting.
Frequently Asked Questions
Find Quick Answers
What data formats are supported?
Can I analyze remote pprof endpoints?
Can I focus on specific functions or time ranges?
What outputs are produced for automation?
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