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This is valuable feedback. Understanding whether CI slowdowns come from resource saturation (high CPU/memory usage) or workflow inefficiencies (poor parallelism, I/O waits, network latency) is essential for optimizing pipeline performance. |
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big +1 on this ,,,agree with everything Payal said. native per-job resource graphs would save a ton of guesswork
then kill it at the end of the job and upload monitor.log as an artifact. crude but gives you a timeline you can plot afterward
none of these give you the clean integrated graph experience this discussion is asking for though,,,,,,just a way to get some visibility while waiting on a native feature 🩷🩷🩷🩷 |
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🏷️ Discussion Type
Product Feedback
💬 Feature/Topic Area
Metrics & Insights
Discussion Details
When trying to improve the performance of CI runs it is rather important to know whether the bottleneck is too high resource utilization (CPU, Memory) or inability to use the resources (e.g. not enough build/test concurrency, being latency bound, ...).
Measuring those resources is possible today, but it's complicated, platform dependent and the output cannot easily be shown in a immediately understandable way (like graphs in the per-job view and in the already existing usage / performance metric views, so one can see things like whether CPU utilization has increased over time).
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