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.

• Every route into production traced. Including portal edits, direct database changes and the deployment someone still runs from a laptop, because those are the routes a pipeline has to replace rather than sit beside.
• Delivery metrics from your own history. Lead time, deployment frequency, change failure rate and time to restore pulled from your existing repository and pipeline records rather than from opinion in a workshop.
• Estate reconciled against the code. The running environment compared with the code base to show what is managed, what is orphaned and what is managed twice by two different tools.
• Review and secret practice audited. Branching, code review, approval and secret handling checked against the evidence your auditors, insurers and enterprise customers actually ask for.
• Team capability assessed honestly. Skills and appetite judged before scope is set, because a platform nobody on your side can maintain is a liability rather than an asset.
• Sequenced backlog with a commercial case. Effort, dependencies, cost and the two or three measures that will define success, ordered so the early work pays for the rest.

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.

• Versioned, tested modules. Infrastructure written as modules with pinned provider and module versions, rather than one large template copied per environment and edited in place.
• State isolated and recovery rehearsed. State separated per environment with locking and restricted access, and the procedure for a lost or corrupted state file documented and practised rather than assumed.
• Plan published before apply. Pipelines that plan, publish the plan for review, gate on approval and only then apply, so nobody approves a change they have not seen.
• Deploy by digest, not by tag. Container build, registry, image scanning and immutable tagging, with deployment pinned to a digest so the artefact that was tested is the artefact that runs.
• Environments from blueprints. A new environment is a parameter file and a pull request, not a new project that invents its own conventions on the way through.
• Proven by a rebuild from empty. A non-production environment rebuilt into an empty subscription or account straight from the repository, with the elapsed time recorded 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.

• No long-lived deployment credentials. Federated workload identity replaces stored deployment secrets, so there is no cloud credential sitting in the pipeline to leak or to expire on a Friday.
• Vaulted secrets, not variables. Secrets and certificates held in a managed vault and referenced at deploy or run time, then removed from repositories, variable groups and configuration files.
• Policy enforced outside the pipeline. Guardrails expressed 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 entirely.
• Scanning with thresholds you set. Infrastructure code, dependencies and container images scanned on every pull request, failing the build at severity thresholds you agree rather than defaults we assume.
• Author and approver kept apart. Branch protection, mandatory review and a production release approval that cannot be given by the person who wrote the change.
• Controls mapped to your framework. Platform controls mapped to whatever 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-built, not handed down. The first modules and pipelines written alongside your engineers, so authorship and understanding sit with your team from the first sprint.
• Golden path with working example. The documented, supported way to create a service, plus an example repository a team can clone and deploy on day one.
• Runbooks for the real failures. Failed apply, stuck state lock, rollback and a change that applied only halfway, written for what actually happens rather than for the happy path.
• Ownership model named. Who maintains modules, who reviews platform changes and how a team requests a capability that does not exist yet, agreed and written down.
• Hand-over by doing, while we watch. Your team performs a production deployment and an environment rebuild while we observe rather than drive, which is the only hand-over test worth running.
• Adoption reported against the baseline. The share of the estate deployed through the platform, measured against the figure captured during assessment rather than described in general terms.

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.

• Pipeline health, not pipeline status. Failure rate and duration tracked, with the recurring failures teams have quietly learned to retry past raised as defects instead of tolerated as weather.
• Version currency on a cadence. Provider, module, base image and runtime versions kept current on a schedule and tested in a lower environment before production sees them.
• Drift returned to code or accepted. Scheduled drift detection, with each finding either corrected in code or recorded as an accepted exception carrying an owner and a review date.
• Exceptions reviewed monthly. Policy exceptions revisited so the ones that were only ever meant to be temporary get closed rather than inherited by the next engineer.
• Cost reported by environment. Spend broken down by environment and workload so idle non-production infrastructure is retired rather than quietly renewed each month.
• Modules extended as patterns appear. New workload patterns absorbed into the module library and blueprints, so teams do not fork the platform to get around it.