Architecture as Code in Practice

All courses / Architecture as Code / Module 4 / Chapter 14

Learning objectives

After the lesson the participant can:

• Describe the four stages of the adoption journey and the lead teams for each.
• Plan a pilot with a constrained workload, success criteria and deliverables.
• Review a change against the four areas of the resilience checklist.
• Propose mitigations for state management, dependency coordination and version compatibility problems.

Key concepts

Adoption journey

Four stages with one milestone each: Discovery (adoption vision and platform readiness), Pilot (landing zone and first reusable module), Scale (automated guardrails and onboarding of product teams) and Optimise (measured outcomes and a continuous improvement loop).

Front-loaded alignment

Aligning platform, security, finance and architecture on priorities early, through a current-state assessment, a cross-functional working group and agreement on vocabulary and service level objectives. Organisations that do so avoid the most common integration issues later.

Enablement flywheel

The cycle that keeps programmes sustainable by connecting cross-functional teams, skill development, knowledge sharing, communities of practice and career progression.

Resilience checklist

A review aide for change advisory boards and platform teams with four areas, pre-change validation, state resilience, recovery drills and rollback readiness, each with prompts and expected artefacts such as pipeline run identifiers and stored rollback plans.

Protected delivery workflow

Protected branches on production-aligned infrastructure repositories that demand successful status checks, review approvals and signed commits before merge, with infrastructure unit tests prominent among the gates.

Interactive exercises

Do them here and get feedback at once. Choose a card and then where it belongs, or drag it.

Teaching plan

Discussion

1. The chapter says a culture must treat infrastructure change as a product in its own right. What would be different in how your organisation funds and staffs it?
2. Which of the expected artefacts in the resilience checklist could your pipelines attach automatically today, and which would still be assembled by hand?
3. What makes a workload a good pilot candidate, and what makes one a poor choice even if the team is enthusiastic?

Written exercise

Self-test

Choose an answer to see whether it is right, or open the answer below each question.

1. Which activities belong to the Pilot stage of the adoption journey in the chapter's table?

   1. Define the adoption vision; assess platform readiness
   2. Automate guardrails; onboard product teams
   3. Establish the landing zone; deliver the first reusable module
   4. Measure outcomes; run the continuous improvement loop
   Show the answer

   C. Establish the landing zone; deliver the first reusable module
   The Pilot stage establishes the landing zone and delivers the first reusable module, led by the platform squad and a product team. The other options are Discovery, Scale and Optimise.

2. Under which area of the resilience checklist does the chapter ask whether a tested rollback script or inverse plan exists?

   1. Rollback readiness
   2. State resilience
   3. Pre-change validation
   4. Recovery drills
   Show the answer

   A. Rollback readiness
   Rollback readiness asks whether there is a tested rollback script or inverse plan that can run without manual edits, and whether feature flags or traffic controls are aligned with the release.

3. What mitigation does the chapter give for the version compatibility challenge, where provider and module upgrades break workflows?

   1. Remote state backends with mandatory locking, frequent backups and reconciliation
   2. Modular designs with explicit dependency declarations
   3. A freeze on all upgrades until the next annual review
   4. Staged rollouts, compatibility matrices and automated integration tests
   Show the answer

   D. Staged rollouts, compatibility matrices and automated integration tests
   For version compatibility the mitigation is staged rollouts, compatibility matrices and automated integration tests, with version pinning as best practice. The first two options answer state management and dependency coordination.