Observability, Monitoring & Telemetry Explained | Logs, Metrics, Traces & APM

In modern production systems, telemetry data is the foundation of observability and monitoring platforms such as Datadog, New Relic, and PagerDuty, playing a critical role in building reliable and resilient software systems. Telemetry eventually enables two primary objectives: enabling real-time monitoring and alerting when systems exhibit abnormal behavior, and helping engineers identify bottlenecks and performance issues across complex application workflows. This video breaks down the core types of telemetry data, explains widely used observability frameworks such as RED, USE, and the Four Golden Signals, and explores different monitoring approaches including Application Performance Monitoring (APM), Network Performance Monitoring (NPM), Real User Monitoring (RUM), Infrastructure Monitoring, and Synthetic Monitoring. The video places special emphasis on APM, illustrating its concepts and practical value through a detailed case study and real-world examples.

Topics that have not been covered:
- Profiling
- SLO, SLA, SLI
- Use of Datadog and New Relic to observe Traces / Spans.
- AIOps
- eBPF (Extended Berkeley Packet Filter)

Articles for references:
- https://opentelemetry.io/docs/concepts/signals/
- https://blog.devops.dev/use-cases-for-prometheus-histograms-and-summary-metrics-9cd14c75615e
- https://prometheus.io/docs/practices/histograms/

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Видео Observability, Monitoring & Telemetry Explained | Logs, Metrics, Traces & APM канала OnePercentEngineers