Jaeger
Jaeger is an open-source distributed tracing system for collecting, storing, querying, and visualizing trace data to monitor and troubleshoot distributed applications.
Troubleshooting Java, Second Edition
Jaeger is an open-source distributed tracing platform for collecting, storing, and visualizing traces across services.
- How it is used
- Supports debugging, performance analysis, and system-health investigation across complex service architectures.
- How deep it goes
- Explains trace IDs, spans, propagation, timelines, and telemetry roles, but stops short of installation or configuration procedures.
- Examples
- Uses checkout, order, fulfillment, Kafka, REST, trace trees, latency timelines, and a message-deserialization warning.
- What you can do after
- Diagnose/debug with it by following requests, locating delays, and identifying cross-service failures through trace timelines.
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Spring AI in Action
Jaeger is an open-source distributed-tracing system for collecting, storing, and visualizing trace data.
- How it is used
- Visualizes distributed traces from Spring Boot AI operations for deeper request-level observability.
- How deep it goes
- Explains Docker, dependencies, exporter configuration, endpoint properties, and trace inspection, but not Jaeger internals.
- Examples
- Shows Board Game Buddy traces for POST /ask requests and Qdrant query spans with inspectable tags.
- What you can do after
- Diagnose AI request behavior by inspecting Jaeger traces, spans, and tags.
gRPC Microservices in Go
Jaeger is an open-source distributed tracing and telemetry backend for collecting, storing, querying, and visualizing observability data.
- How it is used
- Provides tracing and performance views for finding problems across communicating microservices.
- How deep it goes
- Walks through Kubernetes installation and Go tracing configuration, then uses UI queries; it does not detail Jaeger’s storage internals.
- Examples
- Uses a Helm deployment, an instrumented Go Order service, and an Order-to-Payment request trace.
- What you can do after
- Operate/configure it to collect service traces and inspect request flow and latency in the Jaeger UI.
Cloud Observability in Action
Jaeger is an open-source distributed tracing system for collecting, storing, querying, and visualizing trace data.
- How it is used
- Supports distributed-trace collection, search, visualization, and incident investigation across microservices.
- How deep it goes
- Explains components, ingestion paths, storage integrations, setup, and trace exploration, but defers detailed correlation treatment.
- Examples
- Uses Docker Compose, an echo service, Grafana, OpenTelemetry, microservices, ClickHouse, trace tags, and a 404 trace search.
- What you can do after
- Operate/configure Jaeger locally, connect it to Grafana, route OpenTelemetry traces, inspect trace details, and correlate traces with metrics and logs.
Related concepts
- trajectoryused by · A trajectory is an ordered sequence of states, actions, events, or operations that records or describes progression through successive steps or over time.
- Zipkinalternative to · Zipkin is an open-source distributed tracing system for collecting, storing, querying, and visualizing timing and trace data across services.
- OpenTelemetryuses · OpenTelemetry is an open, vendor-neutral observability standard and framework for instrumenting software and generating, collecting, and exporting telemetry such as traces, metrics, and logs.
- ClickHouseuses · ClickHouse is an open-source, column-oriented database management system designed for high-performance analytical queries.
- OpenTelemetry Collectorused by · The OpenTelemetry Collector is a vendor-neutral service that receives, processes, and exports telemetry data.
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