GitHub - jlfwong/speedscope: 🔬 A fast, interactive web-based viewer for performance profiles.You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
Profiling and optimizing Go web applications - Artem Krylysov
Note This post was updated on 2021-04-25. Go has a powerful built-in profiler that supports CPU, memory, goroutine and block (contention) profiling. Enabling the profiler # Go provides a low-level profiling API runtime/pprof, but if you are developing a long-running service, it's more convenient to work with a high-level net/http/pprof package. All you need to enable the profiler is to import net/
Enhanced Intel SpeedStep® Technology and Demand-Based Switching on Linux* - Intel® Software Network
Using Intel.com Search You can easily search the entire Intel.com site in several ways. Brand Name: Core i9 Document Number: 123456 Code Name: Emerald Rapids Special Operators: “Ice Lake”, Ice AND Lake, Ice OR Lake, Ice* Quick Links You can also try the quick links below to see results for most popular searches. Product Information Support Drivers & Software
Profiling Python in Production - Nylas
We recently reduced CPU usage across our fleet by 80%. One key technique that made this possible was a lightweight profiling strategy that we could run in production. This post is about the ways we approached instrumentation, the tradeoffs involved, and some tools you can use to optimize your own apps (including code!). Background Nylas is a developer platform that provides APIs to integrate with
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GitHub - nylas/nylas-perftools: Distributed profiling on the cheap
