Building an Observability Platform
From system behaviour to operational action
Begin with the debugging loop every engineer already uses, then build an observability platform one block at a time. Learn telemetry before tool names; add metrics, logs, traces, profiles, collection, storage, investigation, action, scale, cost, security, and incident evidence progressively.
- 01Observability as an Operational Control Loop
- 02Telemetry Signals as Complementary Evidence
- 03The Telemetry Collection Layer
- 04Collector Deployment Patterns
- 05Prometheus as the Local Metrics Engine
- 06Alertmanager and Notification Control
- 07Metric Cardinality as a Platform Constraint
- 08Where Local Prometheus Stops
- 09Mimir: The Distributed Metrics Backend
- 10Prometheus Remote Write: The Delivery Contract
- 11Loki: Logs by Stream, Not Full-Text Index
- 12Tempo: Distributed Traces and Causal Evidence
- 13Pyroscope: Continuous Profiles as Code-Level Evidence
- 14Grafana: One Investigation Surface, Many Backends
- 15Cross-Signal Correlation: One Investigation, Four Databases
- 16The Full Observability Platform Architecture
- 17The Components in One Map
- 18Small, Medium, and Large Deployments
- 19The Cost Model of Each Signal
- 20The Telemetry Schema Is an API
- 21Security and Privacy Boundaries
- 22Common Architectural Mistakes
- 23A Practical Implementation Sequence
- 24The Final Mental Model