Telemetry
Involves tracking key metrics and logs from applications, infrastructure and networks to monitor performance, diagnose issues and optimize resources.
Key Concepts
- Metrics:
- CPU and Memory Usage
- Response Time
- Error Rates
- Request Rates
- Throughput
- Logs:
- Error Logs
- Access Logs
- Debug Logs
- Traces: Records of the execution path through a system, especially in microservices or distributed architectures. Helps find time spent, bottlenecks and where failures occur.
- Events: One time occurrences, like Deployments, System Alerts, State Changes.
Best Practices for Effective Telemetry
- Identify the most important metrics that correlate with system health, user satisfaction and business goals (Key Metrics and Key Performance Indicators, KPIs)
- Add tracing and logging for critical functions
- Set Thresholds and Alerts
- Automate Data Collection
- Aggregate Data for when large volume exists
- Ensure Data security
- Correlate Data from Multiple Sources