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Use cases

Instrument one endpoint group with metrics and spans

Observability and operability|The work pauses once the plan is written. Somebody reads the approach and approves it before any code exists, and the run continues from there.

A group of endpoints with no latency or error data, instrumented with a dashboard query included.

The ticket

Add metrics and tracing spans to one endpoint group.

Acceptance criteria

  • Each endpoint reports latency, throughput, and error rate
  • Span names follow a convention and are asserted in tests
  • Cardinality is bounded, with no unbounded identifiers as labels
  • A dashboard query using the new signals is included

What lands as proof

A dashboard query returning real data from the new instrumentation, not just the instrumentation code.

Why teams defer it

  • Instrumentation is invisible until it is missing, and by then the outage is already underway.
  • A careless label explodes cardinality and the bill, so it needs somebody who knows the metrics backend.

Questions

What does the agent actually change?
The ticket is scoped to one outcome: add metrics and tracing spans to one endpoint group. Work that serves that outcome is in scope, and anything outside it is left for a separate ticket, so the pull request stays reviewable.
How do I know the work is done?
The pull request carries the evidence, not only the diff. Here that means span names asserted in tests, dashboard query included, so a reviewer can confirm the result without reproducing the work locally.
How much oversight does this need?
The run stops once the plan is written. Somebody reads the approach and approves it before any code exists, which is the cheapest moment to redirect the work.

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