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.

3 — Telemetry Pipelines

Covers building the reusable pipeline infrastructure (Collector fleets, routing config) that self-service onboarding depends on.

5 — GitOps

Covers deploying observability-as-code configuration through the same GitOps reconciliation loop as application deployments.

6 — Terraform

Covers managing observability backend resources (data sources, alert rules, access policies) as Terraform-managed infrastructure.

8 — Multi Region Design

Covers designing an observability platform's own multi-region topology so it does not share a single point of failure with the workloads it observes.