Flame graph
A flame graph is a visualization of hierarchical stack-trace or resource-usage data in which nested regions have widths proportional to aggregated execution cost or resource consumption.
Cloud Observability in Action
A flame graph is a hierarchical visualization of collected stack traces in which horizontal extent represents call frequency or resource consumption and vertical position represents stack depth.
- How it is used
- Uses stack-profile visualizations to debug code and understand runtime or resource usage.
- How deep it goes
- Explains axes, rectangles, colors, and resource scope with a worked pprof example, but defers detailed rendering internals.
- Examples
- Demonstrates a Go pprof profile where slowTask() dominates CPU time and appears beneath main().
- What you can do after
- Diagnose CPU, memory, or I/O bottlenecks by reading widths, stack depth, and caller relationships.
Read how Cloud Observability in Action explains flame graph →
Latency
FlameGraph profiling is a visualization-based profiling technique that represents hierarchical sampled execution costs as nested horizontal bars.
- How it is used
- Uses sampled execution visualization to locate dominant code paths during performance optimization.
- How deep it goes
- Explains proportional stack-trace visualization and a profiling workflow, without detailing flame-graph rendering internals.
- Examples
- Uses recursive Fibonacci, memoization, iteration, Criterion measurements, and a generated performance flame graph.
- What you can do after
- Diagnose costly execution paths by profiling Rust benchmarks with Criterion and pprof.
Related concepts
- trajectoryproduced by · A trajectory is an ordered sequence of states, actions, events, or operations that records or describes progression through successive steps or over time.
- profilingproduced by · Profiling is the measurement and analysis of a program’s runtime behavior and resource use to characterize performance and identify bottlenecks.
- icicle chartequivalent to · An icicle chart is a hierarchical visualization that represents parent-child relationships with nested or stacked rectangular regions.
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