Telemetry data is automatically collected information about the behavior, performance, and health of systems, applications, and infrastructure. It includes metrics, logs, traces, and events generated by software and hardware components. Importance:
Proactive issue detection: Identify problems before users experience them
Performance optimization: Understand bottlenecks and optimization opportunities
Capacity planning: Make informed decisions about scaling
Debugging: Troubleshoot issues in production environments
Business insights: Understand user behavior and system usage patterns
Compliance: Meet regulatory requirements for system monitoring Types of telemetry:
Performance metrics (latency, throughput)
Error rates and exceptions
Resource utilization (CPU, memory, disk)
Business metrics (user actions, revenue)
Security events and audit logs
Rewriting in plainer words…
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