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I prefer the standard "flame" layout, where the y-axis is counting stack depth upwards from zero at the bottom. Icicle charts are flame graphs upside down. My first talk on flame graphs was at USENIX LISA 2013, which ended up as a plenary talk ( youtube, slideshare, PDF): Variations I gave an updated talk explaining flame graphs at USENIX ATC 2017 titled Visualizing Performance with Flame Graphs, which is on youtube and slideshare ( PDF) Once you have a profiler that can generate meaningful stacks, converting them into a flame graph is usually the easy step. Operating Systemsįlame graphs can be generated from any profile data that contains stack traces, including from the following profiling tools: 6.Īlso see my CPU Flame Graphs page, and the presentation below. This visualization is fully explained in my ACMQ article The Flame Graph, also published in Communications of the ACM, Vol. The colors are usually not significant, picked randomly to differentiate frames. The top edge shows what is on-CPU, and beneath it is its ancestry. The wider a frame is is, the more often it was present in the stacks. The x-axis shows the stack profile population, sorted alphabetically (it is not the passage of time), and the y-axis shows stack depth, counting from zero at the bottom. E.g., file system contents (see instructions comparisons with treemaps and sunbursts). The example on the right is a portion of a CPU flame graph, showing MySQL codepaths that are consuming CPU cycles, and by how much.įlame graphs can also be used for any hierarchical data. The following pages (or posts) introduce different types of flame graphs: Recently I've been helping with d3-flame-graph. See the Updates section for other implementations.
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They can be generated using my open source programs on /brendangregg/FlameGraph, which create interactive SVGs.
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Systems Performance: Enterprise and the Cloud, 2nd Editionįlame graphs are a visualization of hierarchical data, created to visualize stack traces of profiled software so that the most frequent code-paths to be identified quickly and accurately.
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How To Add eBPF Observability To Your ProductīPF binaries: BTF, CO-RE, and the future of BPF perf tools USENIX LISA2021 Computing Performance: On the Horizon