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 — Time Series Fundamentals

Covers the time-series data model — series identity, sample resolution, and the write/query tradeoffs baked into that model.

2 — Metric Types

Distinguishes counter, gauge, histogram, and summary semantics and the aggregation rules each type permits or forbids.

4 — Cardinality Management

Covers estimating and bounding active series count before a label change ships, and the incident patterns an unbounded label causes.

1 — RBAC

Why a role grants an action but never a data scope, the three independent layers every telemetry query passes through, and why a small role set plus label-based scoping beats a sprawl of fine-grained roles.