Case 09
OpenTelemetry Observability Mesh
OpenTelemetry Observability Mesh: Problem: Metrics, logs, and traces often exist separately, making incidents slower and ownership unclear. Constraints: Cardinality, sampling, cost, multi-service correlation, dashboard sprawl, and alert fatigue. Architecture: OpenTelemetry collection layer with service conventions, trace context propagation, metric normalization, log correlation, and dashboard/runbook links. Result: Production behavior becomes easier to understand from request path to workload to infrastructure signal.
- Problem
- Metrics, logs, and traces often exist separately, making incidents slower and ownership unclear.
- Constraints
- Cardinality, sampling, cost, multi-service correlation, dashboard sprawl, and alert fatigue.
- Architecture
- OpenTelemetry collection layer with service conventions, trace context propagation, metric normalization, log correlation, and dashboard/runbook links.
- Result
- Production behavior becomes easier to understand from request path to workload to infrastructure signal.
Related topics: AI infrastructure, Kubernetes/EKS, GitOps, Terraform, observability, platform engineering, cloud architecture.