Jaeger

Jaeger

Jaeger is an open source, end-to-end distributed tracing system used for monitoring and troubleshooting microservices-based distributed systems. It allows developers to analyze latencies and errors across service calls.
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tracing monitoring microservices distributed-systems

Jaeger: Open Source Distributed Tracing System

An open source end-to-end distributed tracing system for monitoring and troubleshooting microservices-based distributed systems, allowing developers to analyze latencies and errors across service calls.

What is Jaeger?

Jaeger is an open source, end-to-end distributed tracing system used for monitoring and troubleshooting microservices-based distributed systems. It provides insight into transaction latency, errors, and dependencies across microservices architectures.

Key features of Jaeger include:

  • Distributed context propagation - Jaeger instruments microservices to propagate context/tracing data across process boundaries
  • Distributed transaction monitoring - Jaeger provides a UI and API to view distributed traces and analyze performance bottlenecks
  • Integration with OpenTracing API - Supports integration with OpenTracing instrumentation libraries
  • Storage backends - Supports Cassandra, Elasticsearch, Kafka, and other storage backends to store tracing data
  • Alerting - Can integrate with Prometheus and other systems to setup alerts for tracing metrics

Jaeger is useful for microservices teams to monitor system health, quickly troubleshoot errors, and analyze service dependency graphs. It provides an end-to-end picture of requests flowing across service boundaries. Teams can use Jaeger during CI/CD to validate performance impacts of code changes.

Jaeger Features

Features

  1. Distributed tracing
  2. Monitoring of microservices
  3. Troubleshooting errors in microservices
  4. Latency analysis across services
  5. OpenTracing compatible

Pricing

  • Open Source

Pros

Open source

End-to-end tracing

Language agnostic

Integrates with existing logging solutions

Visualization and query of traces

Cons

Complex deployment

Steep learning curve

Manual instrumentation required

Limited metrics compared to APM tools


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