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Reliability Analytics & Self-Serve Tooling1 / 2

2 min lesson

Building self-serve data tooling

Start at the first move in "Building self-serve data tooling" and carry it through to the proof.

Step 1 of 2

The JD is explicit: you build data tooling that lets engineers answer their own questions, instead of routing every reliability query through you. The win condition is fewer ad-hoc asks, not more dashboards.

This is the difference between a data scientist who gatekeeps and one who scales the org. Cursor wants the second kind. The core artifact is a metric layer that makes "agent success rate" mean one thing everywhere, plus interfaces an engineer can drive without a DS in the loop.

THE SELF-SERVE STACK YOU OWN

Interactive diagram. Tab through its regions; each focused region shows its detail in the panel below.

diagram: stack

Each layer rests on the one below - no clever dashboard recovers a dimension the instrumentation never logged.