Centralize Jaeger Trace Sampling Without Redeploying Services
Change Jaeger trace sampling centrally without redeploying instrumented services.
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jaegertracingChoosing a Jaeger Backend: Cassandra vs Elasticsearch vs PostgreSQL
Decide which Jaeger backend—Cassandra, Elasticsearch, or PostgreSQL—fits your scale and operational needs. This guide compares write/read paths, scalability, and pagination, then walks through a concrete Cassandra deployment and validation steps.
cassandra
elasticsearchUsing Jaeger Adaptive Sampling to Control Trace Volume in High‑Traffic Services
Learn how Jaeger adaptive sampling dynamically adjusts trace collection to cut storage usage while preserving visibility into latency‑critical and bursty traffic.
Choosing a Jaeger Storage Backend for Production Tracing
Choose between Elasticsearch, Cassandra, and in-memory storage for Jaeger based on span volume, retention, and operational capacity.
Controlling Trace Volume with Jaeger Remote Sampling
Stop hardcoding trace probabilities. Learn how to use Jaeger remote sampling to centrally control trace volume and prioritize critical operations without redeploying services.
Instrument a Spring Boot Microservice with OpenTelemetry Auto-Instrumentation and Jaeger
A step-by-step guide to adding OpenTelemetry auto-instrumentation to a Java Spring Boot app, exporting spans to Jaeger via OTLP, and verifying distributed traces.
opentelemetryFine‑Tuning Jaeger with Adaptive Sampling: A Practical Guide
Adaptive sampling in Jaeger lets you keep observability depth while trimming storage and network costs. This guide walks through configuration, verification, and trade‑offs for microservice environments.
Jaeger Adaptive Sampling: Stop Drowning in Healthy Traces
Fixed sampling wastes storage on healthy traffic while missing rare errors. Jaeger's Adaptive Sampling dynamically adjusts per-operation rates via a collector feedback loop—here's how to configure it, where it breaks, and how to verify it works.
Jaeger Distributed Sampling: Configuring Probabilistic and Remote Samplers in Java
Distributed sampling in Jaeger lets you reduce tracing overhead by emitting only a fraction of traces. This guide shows Java client configuration, common pitfalls, and verification steps.