Nhazi
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.
Nkarachọ
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
Oge ojiji
• Microservices performance monitoring
• Distributed transaction tracking
• Root cause analysis for failures
• Service dependency mapping
• API latency optimization
• Troubleshooting production issues
Ndụmọdụ ịwụnye
**Docker Installation:**
```bash
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
```
Ndụmọdụ ntọala
**Instrumentation (Python):**
```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
```