Observability makes a change or failure understandable through evidence. These guides connect cache and inference signals to a consistent measurement vocabulary, with particular attention to latency distributions and meaningful comparisons.
Start with a question rather than a dashboard inventory. Define the time window, population, units, and sampling policy. Metrics can reveal a pattern; a trace or bounded diagnostic record can help explain it. Keep sensitive request content out of routine telemetry unless it is necessary and appropriately controlled.
Connect these ideas with the Analytics overview. If the question spans several parts of the system, the guide directory offers a sequence through the related decisions.
Averages can hide the requests that make an application feel unreliable. Learn what p95 and p99 describe, how to measure complete user journeys, and how to compare regional traffic and latency distributions without misleading aggregation.
Useful CDN analytics connects cache behavior, latency, and errors to a clear operational decision. Learn to define trustworthy metrics, interpret request and byte hit ratios, manage sampling and privacy, and test changes with meaningful guardrails.