production metrics

Assess

Techniques

Operational measurements collected from live systems to detect and analyze failures.

Why it's here

Placed in Assess: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.

Evidence (1)

6InfoQ·10/16/2026research
Uber Automates Dependency Analysis in Its Service Mesh
Uber built an automated dependency analysis system that combines RPC middleware signals with production metrics to trace how caller and downstream failures relate. The system classifies dependencies as fail-close, fail-open, or unknown, helping address the limits of sampled distributed tracing for rare failures at Uber's scale.