Monitoring & Observability
Jaeger Distributed Tracing Setup
When a request traverses multiple microservices, databases, and external APIs, finding where latency or errors originate requires distributed tracing. Jaeger collects trace spans from your services, correlates them into complete request traces, and provides visualization and querying tools. We deploy production-grade Jaeger with proper storage, sampling, and integration.
Need this done for your project?
We implement, you ship. Async, documented, done in days.
What We Deliver
A production-ready Jaeger deployment with collector, query service, and UI. Storage backend configured (Elasticsearch, Cassandra, or ClickHouse). OpenTelemetry SDK integration for your application. Sampling strategies tuned for your traffic volume. Service dependency graph. Grafana integration for trace-to-metric correlation. Retention policies and storage management.
OpenTelemetry Integration
We instrument your applications with OpenTelemetry SDKs (available for every major language) that generate trace spans for incoming requests, outgoing HTTP calls, database queries, cache operations, and message broker interactions. The OpenTelemetry Collector receives spans and exports to Jaeger. This vendor-neutral approach means you can switch tracing backends without re-instrumenting your code.
Sampling Strategies
Tracing every request is expensive at scale. We configure intelligent sampling: 100% sampling for errors and slow requests, probabilistic sampling for normal traffic (1–10% depending on volume), and rate-limited sampling to cap trace ingestion. Remote sampling lets you adjust rates without redeploying applications. The result is comprehensive visibility without runaway storage costs.
Storage & Performance
Jaeger supports multiple storage backends. Elasticsearch provides fast search across trace attributes. Cassandra handles very high write throughput. ClickHouse offers the best cost-efficiency for large trace volumes. We size storage based on your trace volume and retention needs, configure index rollover, and implement automated cleanup.
Trace Analysis
Jaeger UI visualizes request traces as waterfall diagrams showing each service's contribution to total latency. Service dependency graphs show how services communicate. Trace comparison identifies performance regressions. We integrate Jaeger with Grafana for trace-to-metric and trace-to-log correlation — click from a slow trace directly to the relevant logs.
How It Works
Purchase the engagement, submit your async brief with your microservice architecture and tracing requirements, and receive a production-ready Jaeger deployment within 5–7 business days. Instrumentation guides, dashboards, and operational documentation included.
Why Anubiz Engineering
100% async — no calls, no meetings
Delivered in days, not weeks
Full documentation included
Production-grade from day one
Security-first approach
Post-delivery support included
Ready to get started?
Skip the research. Tell us what you need, and we'll scope it, implement it, and hand it back — fully documented and production-ready.