AI Observability and Sensitive Data
AI debugging wants prompts and tool results, which are the most sensitive data a request holds. This guide shows what to record by default, how far redaction can be trusted, and how to control access.
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Head and Tail Sampling
Head sampling decides whether to keep a trace before it has run; tail sampling decides after it has collected the trace’s spans for a bounded wait. The choice determines which failures you can find and how far you can trust the rates you compute.
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Metrics, Logs, and Traces for Services
Telemetry only helps if it carries context, stays affordable, and respects privacy. This article instruments a service with OpenTelemetry and examines cardinality, sampling, propagation, and redaction choices.