Telemetry Strategy
Overview
A telemetry strategy defines what signals are collected, how they are correlated, and how teams use them to make decisions.
Signal Model
- Logs for event narratives
- Metrics for trend and threshold monitoring
- Traces for request path diagnostics
flowchart LR
A[Application] --> B[Logs]
A --> C[Metrics]
A --> D[Traces]
B --> E[Observability Platform]
C --> E
D --> E
Practical Example
A strategy document may define required fields for all services: service name, version, environment, request id, and trace id.
Production Example
Platform teams typically define telemetry maturity levels with mandatory dashboards and alerts before services can move to production.
Common Pitfalls
- Collecting data without clear action paths
- No ownership for dashboards and alerts
- Inconsistent naming across teams
Key Takeaways
- Telemetry strategy aligns instrumentation with operational outcomes.
- Correlation fields are essential for incident investigation.
- Governance prevents observability entropy.