tempo
Guide for implementing Grafana Tempo - a high-scale distributed tracing backend for OpenTelemetry traces. Use when configuring Tempo deployments, setting up storage backends (S3, Azure Blob, GCS), writing TraceQL queries, deploying via Helm, understanding trace structure, or troubleshooting Tempo issues on Kubernetes.
distributed-tracing
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.
grafana
Observability visualization with Grafana and the LGTM stack (Loki, Grafana, Tempo, Mimir). Use when implementing dashboards, log aggregation, distributed tracing, or metrics visualization. Triggers: grafana, loki, tempo, mimir, dashboard, logql, traceql, observability stack, LGTM.
