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Trace requests across microservices with correlation IDs
Identify bottlenecks and slow services in distributed systems
Pinpoint failure origins in complex service dependencies
Works with OpenTelemetry instrumentation and collectors
Visualize service dependencies and call graphs
Intelligent sampling to balance observability and overhead
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
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
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Deploy a kan 2 minti • Full root damar • Taimako ta tikiti da imel