More charts can mean less clarity
A wall of CPU, memory, request count, and error graphs can still leave you unable to answer why one customer is stuck. Observability is about asking new questions without shipping new code every time.
The useful signal is usually already there.
Systems stories get more interesting when you can feel the pressure move through the stack.
Emit the story of the request
Logs, metrics, and traces should share ids and vocabulary. That lets you move from symptom to path to cause without guessing.
Shared attributes make telemetry joinable.
Start with user pain
Ask what a user would report, then make sure telemetry can answer it: who was affected, when it started, what changed, and which dependency was slow or wrong.
Flip the switches and watch the story turn into a tiny operating model.
Telemetry should shorten the mystery
The point is not to collect everything. The point is to make production explain itself faster.