Flame Graph
A visualization of profiled software showing which functions consume the most CPU or wall-clock time. The x-axis is the stack population and the y-axis is call stack depth.
What is Flame Graph?
A visualization of profiled software showing which functions consume the most CPU or wall-clock time. The x-axis is the stack population and the y-axis is call stack depth.
Flame Graph is a advanced concept that sits in the Reliability & Resilience area of system design. Engineers reach for it whenever they need to reason about real-world trade-offs in that space — not just for textbook correctness, but because real production systems at companies like Netflix, Amazon, and Google make these decisions every day.
If you want to go deeper than this definition — with diagrams, code, and a quiz to lock it in — work through the "Flame Graph" lesson linked below. It walks through the why, the mechanism, the trade-offs, and how the giants actually use it in production.
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Full interactive lesson with diagrams, code examples, real-world references, and a quiz.
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Lessons that touch on Flame Graph as part of a larger topic.
See also
Related glossary terms you might want to look up next.
APM
Application Performance Monitoring: tools that track request latency, error rates, and dependencies in real time. Datadog, New Relic, and Grafana are popular APM platforms.
Observability
The ability to understand a system's internal state from its external outputs. Built on three pillars: metrics, logs, and traces.
Distributed Tracing
Tracking a request as it flows through multiple services in a distributed system. Each service adds its trace, creating a full picture of the request journey.