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RAM: 1024MB
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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.

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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

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

@ action

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

@ action

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

Ka'idojin Kwarewa

Bukatun tsarin aiki

  • Ƙwaƙwalwa: 1024MB RAM

Yi Ƙimanta Wannan Labarin

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@ action

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