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जेगर

अनुगमन

माइक्रोसर्भिसेस आर्किटेक्चरहरूको अनुगमनको लागि वितरित ट्रेसिङ प्लेटफर्म

सूचना

तैनाती: २-५ मिनेट
कोटी: अनुगमन
न्युनतम RAM: 1024MB
सहयोग: टिकट र इमेल

यो मार्गदर्शक साझेदारी गर्नुहोस्

सारांश

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.

कुञ्जी विशेषताहरू

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

केस प्रयोग गर्नुहोस्

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

स्थापना मार्गदर्शक

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

कन्फिगरेसन टिप्स

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

प्राविधिक आवश्यकताहरू

प्रणाली आवश्यकता

  • स्मृति: 1024मेगाबाइट RAM

यो लेखको मूल्याङ्कन गर्नुहोस्

★★★★★
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