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 — Prometheus

Covers Prometheus as the reference pull-based metrics engine — see the dedicated Prometheus book for full depth; this chapter covers only its role in the broader platform.

3 — Loki

Covers Loki's index-light, label-indexed log storage model and how it differs from full-text log indexing.

4 — Tempo

Covers Tempo’s object-storage-backed, trace-ID-lookup model for cost-efficient distributed trace storage.

6 — Elasticsearch

Covers Elasticsearch as a full-text-indexed log and event store, and its cost/flexibility tradeoff against label-indexed alternatives.