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 — Uber

Covers Uber's published observability architecture and scaling decisions as a case study, cited from public engineering sources.

2 — Google

Covers Google's observability practices (Monarch, Dapper) and their influence on the broader industry's approach, cited from public sources.

3 — Meta

Covers Meta's internal observability and tracing infrastructure as described in public engineering writing.

4 — Netflix

Covers Netflix's observability and chaos engineering practices as described in public engineering writing.