Agent Skills
› wshobson/agents
› distributed-tracing
distributed-tracing
GitHub用于在微服务架构中实施分布式追踪（Jaeger/Tempo），以跟踪请求链路、定位性能瓶颈和故障点。适用于调试延迟问题、分析服务依赖及实现可观测性。
Trigger Scenarios
调试微服务延迟问题
分析请求在各服务间的流转路径
排查分布式系统中的错误传播
实施系统可观测性方案
Install
npx skills add wshobson/agents --skill distributed-tracing -g -y
SKILL.md
Frontmatter
{
"name": "distributed-tracing",
"description": "Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems."
}
Distributed Tracing
Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices.
Purpose
Track requests across distributed systems to understand latency, dependencies, and failure points.
When to Use
- Debug latency issues
- Understand service dependencies
- Identify bottlenecks
- Trace error propagation
- Analyze request paths
Detailed patterns and worked examples
Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.
Best Practices
- Sample appropriately (1-10% in production)
- Add meaningful tags (user_id, request_id)
- Propagate context across all service boundaries
- Log exceptions in spans
- Use consistent naming for operations
- Monitor tracing overhead (<1% CPU impact)
- Set up alerts for trace errors
- Implement distributed context (baggage)
- Use span events for important milestones
- Document instrumentation standards
Integration with Logging
Correlated Logs
import logging
from opentelemetry import trace
logger = logging.getLogger(__name__)
def process_request():
span = trace.get_current_span()
trace_id = span.get_span_context().trace_id
logger.info(
"Processing request",
extra={"trace_id": format(trace_id, '032x')}
)
Troubleshooting
No traces appearing:
- Check collector endpoint
- Verify network connectivity
- Check sampling configuration
- Review application logs
High latency overhead:
- Reduce sampling rate
- Use batch span processor
- Check exporter configuration
Related Skills
prometheus-configuration- For metricsgrafana-dashboards- For visualizationslo-implementation- For latency SLOs
Version History
- 367cb6a Current 2026-08-20 06:54
