Here’s how I built a website, Profilerpedia, using a Google Sheet as the backing database. Profilerpedia aims to map the profiling ecosystem and connect software with profilers and profilers with great analysis
Logging a stack trace is a useful way to tell why a method is being called. But it's not always so easy to log a backtrace. Tools like dtrace and linux-perf can log
These are my notes from Gene Kim’s book The Unicorn Project: A Novel about Digital Disruption, Developers, and Overthrowing the Ancient Powerful Order. I enjoyed this book and recommend it. I delayed
pprof -tagroot lets you break down & visualise pprof software profiles by custom, domain-specific key-value pairs (Labels, aka Tags) attached to each stack sample.
I mapped out over 100 Profilers, what Profile Data Formats they output, and what Profiler UIs can visualise those formats: Profilerpedia