Learn/Course 19
Production · weeks 23

Reliability, monitoring & experimentation

Model quality decays while every infrastructure dashboard stays green.

Opening production brief

A measurable problem, before a model.

Users

Operators, product owners, and people affected by the reliability decision.

Data

SLIs/SLOs, delayed labels, drift, replay tests with version, owner, event time, and availability contracts.

Constraints

Model quality decays while every infrastructure dashboard stays green. Every solution must state latency, cost, capacity, and fallback limits.

Success

Offline evidence plus a deployable resolution: Joined data/model/service telemetry, drift policy, experiments, alerts, and runbooks.

CHAPTER 1

Frame and baseline

Turn the production problem into explicit data, metric, and baseline contracts.

  1. 01

    ML SLIs, SLOs, error budgets, ownership

    Use ml slis, slos, error budgets, ownership to move the reliability production brief toward a defensible release.

    65–90 min · checkpoint · deterministic lab
  2. 02

    Observe system, data, prediction, and business

    Use observe system, data, prediction, and business to move the reliability production brief toward a defensible release.

    65–90 min · checkpoint · deterministic lab
CHAPTER 2

Build and stress

Formalize the machinery, test counterexamples, and expose system limits.

  1. 03

    Diagnose, mitigate, and write postmortems

    Use diagnose, mitigate, and write postmortems to move the reliability production brief toward a defensible release.

    65–90 min · checkpoint · deterministic lab
  2. 04

    Randomized experiments and guardrails

    Use randomized experiments and guardrails to move the reliability production brief toward a defensible release.

    65–90 min · checkpoint · deterministic lab
CHAPTER 3

Resolve and operate

Join model behavior to architecture, observability, rollout, and rollback.

  1. 05

    Drift, retraining, rollback, continuous verification

    Use drift, retraining, rollback, continuous verification to move the reliability production brief toward a defensible release.

    65–90 min · checkpoint · deterministic lab
  2. HW

    Launch analysis and incident response

    Analyze a synthetic launch, verify assignment, estimate effects, inspect slices, and choose continue, pause, or rollback.

    Rubric · staged hints · reference resolution
Prerequisite guidance

3 concepts make this faster.

Prerequisites are guidance, never hard gates.

C02EvaluationA metric contract, leakage-safe validation, calibration analysis, and experiment plan.C17ML platformsA traced batch/stream platform with orchestration, registry, lineage, and ownership.C18Serving systemsBatch and online paths with batching, autoscaling, load tests, canaries, and rollback.
Ready to work the problem?

ML SLIs, SLOs, error budgets, ownership

Start lesson 01