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DevOps & observability · #jaegertracing
Learn how to implement distributed tracing in Java microservices using OpenTelemetry and Jaeger to identify latency bottlenecks and visualize request flows.
Stop overloading your storage with redundant traces. Learn how to use Jaeger's probabilistic sampling to maintain system visibility while drastically reducing observability overhead.
When microservices churn millions of spans, storage costs skyrocket. Jaeger’s probability‑based sampler lets you keep a representative slice of traffic without code changes. Learn how to configure it, verify it, and balance cost versus 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.
A technical guide for choosing between In-Memory, Elasticsearch, and Cassandra storage backends for Jaeger, focusing on scalability, searchability, and operational overhead.
Stop choosing between storage crashes and missing traces. Learn how Jaeger's Adaptive Sampling dynamically adjusts trace rates to balance observability with operational costs.
Goal: configure the Jaeger Agent so that its UDP listeners (6831 for Thrift compact, 6832 for Thrift binary) are bound to predictable host ports in a repeatable development environment, ensuring that instrumented applications always send traces to the same address. Uncertainty: the Jaeger Agent does not enforce a fixed binding address unless explicitly suppl
Goal Develop a test harness for a Jaeger client that can be run in CI or local environments without using real production credentials. Constraints and Uncertainty The Jaeger client library expects an authentication token or basic auth header when sending spans to a secured collector. Using production credentials in tests is forbidden by policy, yet the colle
Jaeger Tracing Sampling A configuration utilizing a static local sampler functions correctly in a local development environment. Production Sampling Failure This same setup results in zero sampled traces when deployed to production infrastructure. What is the documented fallback behavior of Jaeger client libraries when the remote sampling endpoint is unreach
cassandra