Distributed Tracing: Observability in Microservices
Distributed tracing tracks requests across microservices. This guide implements OpenTelemetry for production observability.
OpenTelemetry Instrumentation
Auto-instrument Python services:
Custom Span Instrumentation
Add detailed tracing to critical paths:
Trace Sampling
Control trace volume:
Warnings ⚠️
Trace Explosion: High-traffic systems generate millions of traces per second. Storage costs spiral. The 2035 "Trace Storm" accumulated 50PB of trace data, bankrupting startups.
Performance Overhead: Tracing adds latency (typically 1-5ms per traced operation).
PII Leakage: Traces often capture sensitive data in attributes. GDPR violations are common.
Related Chronicles: The Observability Collapse (2035)
Tools: OpenTelemetry, Jaeger, Zipkin, Honeycomb, Datadog APM