Eight Production Patterns for Distributed Tracing on Kubernetes
Distributed tracing is essential for debugging microservices. This post outlines eight practical patterns for implementing tracing with OpenTelemetry and GCP Cloud Trace in production.
Opentelemetry
Implementing OpenTelemetry Context Propagation Across Distributed Traces and Metrics Pipelines
Learn how OpenTelemetry context propagation works across distributed traces and metrics pipelines, covering W3C standards, baggage management, and production-ready patterns for correlated observability.
Observability Pipelines: Instrumenting Microservices with OpenTelemetry
Explore the architecture and implementation of observability pipelines using OpenTelemetry and Jaeger to gain visibility into distributed systems.
Distributed Tracing Across Kafka and gRPC With OpenTelemetry Context Propagation
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.
Inside OpenTelemetry's Span Processor: Tail-Sampling and Adaptive Bucket Aggregations
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.