Every production incident begins the same way: a dashboard turns red, a phone
buzzes, and someone asks, "What changed?" The quality of the answer — and the
speed at which it arrives — depends entirely on the observability platform
underneath. Yet most engineers only *use* observability tools. They configure
dashboards, write queries, copy-paste snippets. They never see the internals.

*The Signal Path* changes that. It follows **Lens**, an observability platform
built entirely from scratch. Starting with a single agent that reads raw Linux
`/proc` files, you will build a time-series database, a structured logging
pipeline, a distributed tracing engine, an anomaly detection system, and a
global-scale observability data lake.

Every component is built from first principles before it is compared to the
industry standard — Prometheus, Loki, OpenTelemetry, ClickHouse — that does
the same thing. Sixteen chapters, each with a companion repository of working
Go and Python code.

By the end, you will not just use observability tools. You will understand
them at the level of the engineers who built them.

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