Pragmatic execution tracing
This talk covers contemporary execution tracing technologies; from gathering execution traces, storage, and analysis.
Optimizing application latency and speed is a difficult challenge since many factors could lead to slowdown --> network IO, CPU scheduler, waiting on a mutex, database, other services... Many of those non-CPU intensive activities don't show on the traditional profilers (pprof) and aren't visible on flame graphs. Tracing method execution calls in time, from the moment it starts, until it ends with adding metadata enables us a deeper insight into our program, hidden otherwise. Additionally distributed tracing tracks request over multiple services, complementing logging for the microservice architecture.
Friday, 2018-10-05 @ 17:25
> Skill level: advanced
> Duration: 25 min
His parents committed a grave mistake, and at age 12 introduced him to Pascal and Logo. Since then he's programmed in various languages, from C, C++ to Haskell and Go. Distributed systems and machine learning are his interest areas, as well as watching Marvel action movies. Aside from free time tinkering he gathers his experience in international internships, creating AI Battleground project, and MinION deep learning basecaller (bioinformatics). Currently, he's DevOps at one local startup.