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atelier/domains/observability/metrics.md
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Jon Chery 496303471d docs(milestone): complete v0.1 — initial framework
---ci---
project: atelier
phase: 7
milestone: v0.1
status: complete
phase_role: final
milestone_complete: true
requirements:
  covered: [ATELIER-01, ATELIER-02, ATELIER-03, ATELIER-04, ATELIER-05, ATELIER-06, ATELIER-07, ATELIER-08, ATELIER-09, ATELIER-10, ATELIER-11, ATELIER-12, ATELIER-13, ATELIER-14, ATELIER-15, ATELIER-16, ATELIER-17, ATELIER-18, ATELIER-19, ATELIER-20, ATELIER-21, ATELIER-22, ATELIER-23, ATELIER-24, ATELIER-25, ATELIER-26, ATELIER-27, ATELIER-28, ATELIER-29, ATELIER-30, ATELIER-31, ATELIER-32, ATELIER-33, ATELIER-34, ATELIER-35]
  partial: []
ship:
  milestone: v0.1
  type: NFR
  tag: v0.0.7
  merge: milestone/v0.1-atelier -> main
  release: https://git.cloudinit.dev/cloudinit-bot/atelier/releases/tag/v0.0.7
---/ci---

Milestone v0.1 — Initial Framework (NFR, complete).
8 core principles (C1-C8), 11 domains, 110 domain principles, 27 derived docs, 4 good + 3 bad examples, 4 language docs, full matrix, 3 review docs.
All 35 requirements covered. 7 patches (v0.0.0 pre-execution through v0.0.7 final). v0.0.7 IS the v0.1.0 milestone release.
2026-08-05 00:36:55 +00:00

1.9 KiB

Metrics — Derived Rules

Derives from domains/observability/first-principles.md P1 (Structured by Default), P4 (Cardinality Discipline), P8 (SLI/SLO Awareness).

The Four Golden Signals

Signal What
Latency Time to serve a request (p50, p95, p99)
Traffic Request rate (req/s)
Errors Error rate (errors/s, or % of traffic)
Saturation How full is the system (CPU, memory, queue depth)
  • All four are needed. Missing one is a blind spot.
  • Latency is percentiles, not average. Average hides the long tail.

Cardinality (P4)

  • Labels have bounded cardinality. user_id as a label = unbounded cardinality = unbounded bill.
  • High-cardinality dimensions belong in traces, not metrics.
  • A metric with user_id as a label is a 1M-series metric. That is a budget bomb.

Counter vs Gauge vs Histogram

Type What Example
Counter Monotonically increasing http_requests_total
Gauge A value at a point in time active_connections
Histogram Distribution of values http_request_duration_seconds
  • A counter never decreases. Use rate() over time to get the rate.
  • A gauge can go up and down. Use it for saturation.
  • A histogram gives percentiles. Use it for latency.

SLI/SLO (P8)

  • SLI (Service Level Indicator): a metric of good/total (e.g., 99.9% of requests < 500ms).
  • SLO (Service Level Objective): the target for the SLI (e.g., 99.9% over 30 days).
  • Error budget: 1 - SLO. If SLO is 99.9%, error budget is 0.1%. Spend it on feature risk, not bugs.
  • When the error budget is exhausted, freeze features. Fix reliability.

What Violates Metrics Discipline

Violation Principle
user_id as a label P4 Cardinality
Average latency only P8 (hides the tail)
No error rate metric P8 (no SLI)
1000 metrics, no SLO P8 (no objective)
A counter that decreases (type error)