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.

2 — The Signals

Metrics, logs, traces, profiles, and events — what each is built to capture, what it costs, and which question it actually answers vs. which one people mistakenly ask it.

1 — What Observability Actually Means

Observability vs. monitoring, the three-pillars critique, and why observability is a property of how a system was instrumented — not a tool you bought or a dashboard you built.

4 — Observability Maturity Model

Maps the crawl/walk/run/autonomous stages of observability maturity to concrete platform and process capabilities.

1 — Dashboard Design

The three-question test for a vanity panel, why the same underlying data needs a different dashboard for different audiences, and the top-down layout that mirrors how an investigation actually drills down.