Systems @Scale 2019 - Observability Infra Uber and Facebook

Yuri Shkuro, Software Engineer, Uber
Michael Bevilacqua-Linn, Software Engineer, Facebook
https://code.fb.com/core-data/systems-scale/
Distributed tracing systems are a tried-and-true tool for understanding systems at scale, ranging back over a decade to early research systems like X-Trace and Magpie, and popularized in industry with Google’s Dapper. Both Uber and Facebook operate large-scale distributed tracing systems, but each has a different focus. Uber’s Jaeger is used primarily as an observability tool, which gives engineers insight into failures in their microservices architecture, while Facebook has largely used its tracing system, Canopy, to get a detailed view of its web and mobile apps, including the creation of aggregate data sets with a built in trace-processing system. In this talk, Yuri and Michael walk through Canopy’s built-in trace processing, as well as Uber’s use of traces for more automated root cause analyses of distributed failures.

Видео Systems @Scale 2019 - Observability Infra Uber and Facebook канала Justin Miller