Reducing Microservice Latency with OpenTelemetry and Jaeger Tracing
Learn how to implement distributed tracing in Java microservices using OpenTelemetry and Jaeger to identify latency bottlenecks and visualize request flows.
ReadMeFeed / Community knowledge
Real questions. Useful conversations. Find the people who know your stack.
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.
Jaeger offers constant, probabilistic, rate-limiting, and adaptive sampling. Here's how to choose between them, verify what clients actually received, and when you need tail sampling instead.
Deciding between OneAgent SDK and OpenTelemetry for custom metrics? Learn the trade-offs between native integration and vendor-neutrality to optimize your Dynatrace observability.
A practical guide to configuring OpenTelemetry Collector for reliable OTLP export with batching, retry backoff and dead letter handling to prevent silent telemetry loss.
Compare suitability, operational responsibilities and limits before choosing this technology for a project. Which trade-offs should guide the decision?
Recovery needs to recreate the working service and its required data after a machine or process is lost. Which artifacts and state need protection, and how should the restore be checked?
A performance change should improve the measured workload without sacrificing correctness or wasting capacity. Which measurements and bottlenecks should be considered first?