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Developer tools · #opentelemetry
High‑traffic services can flood Jaeger with spans. Remote sampling lets you set global, per‑service, and per‑operation rates centrally—without redeploying. Learn how to configure, verify, and trade‑off head‑based sampling versus tail‑based guarantees.
Compare Dynatrace OneAgent and OpenTelemetry Java agent for Kubernetes: automatic code-level visibility vs. vendor-neutral spans, licensing models, startup overhead, and a concrete Spring Boot verification checklist.
A decision guide that compares head‑based and tail‑based sampling strategies, outlines trade‑offs, and shows how to configure and validate each option in a high‑throughput system.
Learn how to configure the OpenTelemetry OTLP/gRPC exporter to reliably send trace data from your instrumented service to an observability backend.
Learn how to enable OpenTelemetry’s W3C TraceContext propagator so trace IDs flow unchanged between services, giving you whole traces in Jaeger or Tempo.
Learn how to implement OpenTelemetry Context Propagation to stop trace fragmentation in microservices using W3C Trace Context and Java SDK examples.
Learn how to implement distributed tracing in Java microservices using OpenTelemetry and Jaeger to identify latency bottlenecks and visualize request flows.
Learn how OpenTelemetry’s Java auto‑instrumentation agent provides zero‑code distributed tracing for Spring Boot services, with a concrete setup example and practical limits.
Missing HTTP client spans in OpenTelemetry Java can stem from agent mis‑configuration, exporter limits, or network issues. This diagnostic guide walks through symptoms, checks, fixes, and escalation steps to help you restore full trace visibility.
jaegertracing
dynatrace
kubernetes
grpc
java