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Jaeger

Uzraudzība

Izplatīta izsekošanas platforma mikropakalpojumu arhitektūru uzraudzībai

Izvietot tūlīt Pārlūkot visas lietotnes

Ierīkošanas informācija

Izvietošana: 2–5 min.
kategorija: Uzraudzība
Min. RAM: 1024MB
Atbalsts: Biļetes un e-pasts

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Pārskats

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.

Galvenās iezīmes

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

Uzstādīšanas rokasgrāmata

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

Konfigurācijas padomi

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

Tehniskās prasības

Sistēmas prasības

  • Atmiņa: 1024MB RAM

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