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Jaeger

Monitorovanie

Distribuovaná sledovacia platforma na monitorovanie architektúr mikroslužieb

Nasadiť teraz Prehľadávať všetky aplikácie

Informácie o nasadení

Nasadenie: 2-5 min
kategória: Monitorovanie
Min. RAM: 1024MB
Podpora: Tickety a e-mail

Zdieľajte túto príručku

Prehľad

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.

Kľúčové vlastnosti a funkcie

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

Случаje uporabe

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

Príručka k inštalácii

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

Tipy na konfiguráciu

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

Technické požiadavky

Požiadavky na systém

  • Pamäť: 1024MB RAM

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