Observability Engineering

A book-shaped table of contents for observability engineering: foundations through architecture, metrics, logging, tracing, profiling, OpenTelemetry, instrumentation, Kubernetes/cloud, data platforms, visualization, alerting, SRE integration, cost, security, platform engineering, AI-driven operations, and MAANG interview preparation — cross-linking existing prometheus/grafana-cloud/kubernetes/sre/platform-engineering notes instead of duplicating them.

1 — AWS

Covers CloudWatch's metric/log/trace surfaces and where AWS-native telemetry needs augmenting with OTel for cross-account visibility.

2 — Azure

Covers Azure Monitor and Application Insights as the native telemetry surface, and their integration points with an OTel-based pipeline.

3 — Google Cloud

Covers Google Cloud's operations suite (Cloud Monitoring/Logging/Trace) and its native OTLP ingestion path.

5 — Multi Cloud

Covers the added complexity of a telemetry pipeline that must normalize signals from more than one cloud provider's native tooling.