Platform Engineering and Infrastructure as Code

We begin by measuring how change actually moves through your organisation, not how the process diagram says it does. The output is a costed, sequenced plan with success measures agreed before anyone writes a module.

• Trace every route a change can take into production, including portal edits, direct database changes and the deployment someone still runs from a laptop.
• Pull lead time, deployment frequency, change failure rate and time to restore from your existing repository and pipeline history rather than from opinion in a workshop.
• Reconcile the running estate against the code base to show what is managed, what is orphaned and what is managed twice by two different tools.
• Review branching, code review, approval and secret-handling practice against the evidence your auditors, insurers and enterprise customers actually ask for.
• Assess team skills and appetite honestly, because a platform nobody on your side can maintain is a liability rather than an asset.
• Deliver a sequenced backlog with effort, dependencies, commercial case and the two or three measures that will define success.

We build in increments that each leave you better off, starting with the workload where repeatability is worth the most. Nothing is handed over as a black box.

• Write infrastructure as versioned, tested modules with pinned provider and module versions, rather than one large template copied per environment.
• Isolate state per environment with locking and restricted access, then document and rehearse the recovery procedure for a lost or corrupted state file.
• Build pipelines that plan, publish the plan for review, gate on approval and only then apply, so nobody approves a change they have not seen.
• Stand up container build, registry, image scanning and immutable tagging, then deploy by digest so the artefact that was tested is the artefact that runs.
• Provide environment blueprints so a new environment is a parameter file and a pull request, not a new project with its own conventions.
• Prove the work by rebuilding a non-production environment into an empty subscription or account, and record the elapsed time as a baseline.

Guardrails belong inside the delivery path where they are cheap to satisfy, not in a review meeting weeks later. We build controls that fail a pull request rather than fail an audit.

• Replace long-lived deployment credentials with federated workload identity, so there is no cloud secret stored in the pipeline to leak or expire.
• Move secrets and certificates into a managed vault referenced at deploy or run time, and remove them from repositories, variable groups and configuration files.
• Express guardrails as policy that runs at pull request and again in the platform, so a non-conforming resource is caught even when the pipeline is bypassed.
• Scan infrastructure code, dependencies and container images on every pull request, failing the build at severity thresholds you set rather than defaults we assume.
• Enforce branch protection, mandatory review and separation between the person who writes a change and the person who approves its release to production.
• Map platform controls to the framework your board or customers ask about, such as the Essential Eight or ISO 27001, so evidence becomes a report rather than a project. We help you align to a framework; we do not certify you against one.

A platform only pays back when teams choose it over the shortcut. We build with your engineers rather than for them, and we hand over something they can extend without us.

• Pair-build the first modules and pipelines with your engineers, so authorship and understanding sit with your team from the first sprint.
• Publish a golden path: the documented, supported way to create a service, with a working example repository a team can clone on day one.
• Write runbooks for the failures that actually occur, including failed apply, stuck state lock, rollback and a change that applied only halfway.
• Agree an ownership model naming who maintains modules, who reviews platform changes and how a team requests a capability that does not exist yet.
• Run a hand-over exercise where your team performs a production deployment and an environment rebuild while we observe rather than drive.
• Report adoption as the share of the estate deployed through the platform, measured against the baseline taken during assessment.

Platforms decay quietly. Version pins age, temporary exceptions become permanent and drift accumulates, so under an agreed managed scope we keep the platform maintained after go-live.

• Monitor pipeline health, failure rate and duration, and raise the recurring failures that teams have quietly learned to retry past.
• Keep provider, module, base image and runtime versions current on a scheduled cadence, tested in a lower environment before production.
• Run scheduled drift detection and either return the change to code or record it as an accepted exception with an owner and a review date.
• Review policy exceptions monthly and close the ones that were only ever meant to be temporary.
• Report cost by environment and workload so idle non-production infrastructure is retired rather than quietly renewed each month.
• Extend modules and blueprints as new workload patterns appear, so teams do not fork the platform to get around it.