Microservices architectures introduce latency and failure modes that traditional logging can’t capture. Distributed tracing provides end-to-end visibility, but implementing it correctly requires careful instrumentation.
Explore the architecture and implementation of observability pipelines using OpenTelemetry and Jaeger to gain visibility into distributed systems.
A field guide to implementing distributed tracing with OpenTelemetry across Kafka message boundaries and gRPC calls, including header propagation, instrumented producers and consumers, and the failure modes that leave orphaned spans.
How modern span processors decide what to keep, what to drop, and how to bucket latency without lying to you. We unpack tail-sampling evaluators and adaptive bucket strategies used in OpenTelemetry Collector pipelines.
A deep dive into trace context propagation, covering standards, transport mechanisms, pitfalls, and actionable OpenTelemetry guidance.