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Jaeger

Stebėjimas

Paskirstyta sekimo platforma mikropaslaugų architektūrų stebėjimui

Diegkite dabar Naršyti visas programas

Įdiegimo informacija

Diegimas: 2–5 min.
kategorija: Stebėjimas
Min. RAM: 1024MB
Pagalba: Bilietus ir el. laišką

Dalintis šiuo vadovu

Apžvalga

Jaeger is an open-source, end-to-end distributed tracing system developed by Uber Technologies and now a CNCF graduated project. It helps monitor and troubleshoot microservices-based distributed systems by tracking requests as they flow through multiple services, providing visibility into latency issues, bottlenecks, and service dependencies. Jaeger implements the OpenTracing standard (now part of OpenTelemetry) and provides critical insights for understanding system behavior, diagnosing performance problems, and optimizing complex service interactions in production environments.

Pagrindinės savybės

Distributed Context Propagation

Trace requests across microservices with correlation IDs

Performance Optimization

Identify bottlenecks and slow services in distributed systems

Root Cause Analysis

Pinpoint failure origins in complex service dependencies

OpenTelemetry Compatible

Works with OpenTelemetry instrumentation and collectors

Service Dependency Analysis

Visualize service dependencies and call graphs

Adaptive Sampling

Intelligent sampling to balance observability and overhead

Pareiškėjo pavardė, pareigos ir atsakomybė.

• Microservices performance monitoring
• Distributed transaction tracking
• Root cause analysis for failures
• Service dependency mapping
• API latency optimization
• Troubleshooting production issues

Montavimo vadovas

Docker Installation:
docker run -d --name jaeger \
  -e COLLECTOR_ZIPKIN_HOST_PORT=:9411 \
  -p 5775:5775/udp \
  -p 6831:6831/udp \
  -p 6832:6832/udp \
  -p 5778:5778 \
  -p 16686:16686 \
  -p 14250:14250 \
  -p 14268:14268 \
  -p 14269:14269 \
  -p 9411:9411 \
  jaegertracing/all-in-one:latest

# Access UI at http://localhost:16686

Konfigūracijos patarimai

Instrumentation (Python):
from jaeger_client import Config

config = Config(
    config={'sampler': {'type': 'const', 'param': 1},
            'logging': True},
    service_name='my-service')
tracer = config.initialize_tracer()

with tracer.start_span('operation') as span:
    span.set_tag('http.method', 'GET')
    # Your code here

Techniniai reikalavimai

Sistemos reikalavimai

  • Atmintis: 1024MB RAM

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