Platform engineering services

Turn platform administration into a path teams can use.

Databricks, GitHub Enterprise, Azure, and Microsoft Intune services apply the same delivery discipline to governance, change, security, and client ownership.

Data platform service

Databricks platform engineering

Databricks consulting services for platform administration, Unity Catalog governance, infrastructure as code, and operations. Start with an assessment or a scoped implementation when the problem is clear.

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Developer platform service

GitHub Enterprise consulting

Establish repository governance, GitHub Actions controls, least-privilege access, audit evidence, and an operating model the client team owns.

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Cloud platform service

Azure cloud engineering

Improve networking, identity, security, governance, infrastructure as code, and delivery controls across an existing Azure estate.

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Endpoint platform service

Microsoft Intune consulting

Assess and import existing Intune policy, establish security baselines, and automate policy change with configuration as code.

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Focused starting point

Platform Assessment

Map how requests, permissions, configuration, and releases move, then identify what to improve first.

See the Platform Assessment

Platform engineering

What platform engineering means here

Software engineering discipline applied to the systems your teams build on: infrastructure as code, testing, delivery, and operations. Code is one mechanism, not the whole method.

Give platform changes a clear delivery path.

We identify which platform changes belong in code, then establish a clear process for reviewing, validating, approving, and delivering them.

Your team retains ownership, with native platform controls used where they are the better fit.

  1. Assess

    Review the live environment, ownership, access, controls, delivery paths, recovery, and daily operating work.

    What you leave withA prioritized view of the platform and the changes to address first.

  2. Govern

    Define who can request, review, approve, and release each change, with clear exceptions and evidence.

    What you leave withClear ownership, approval decisions, and documented exceptions.

  3. Codify

    Bring the right configuration into version control while native platform controls remain where they fit better.

    What you leave withAdministrative changes that are visible, reviewable, and repeatable.

  4. Operate

    Implement controlled changes, test recovery, monitor the platform, and give the client team clear runbooks and ownership.

    What you leave withValidated changes, recovery procedures, and runbooks the team can use.

Delivery engineering

One reviewable path from change to production

  1. Source

    Infrastructure, configuration, and policy under version control.

  2. Build

    Reviewable, repeatable change instead of console edits.

  3. Validate

    Testing, promotion, and recovery you can trust.

  4. Deploy

    Releases become boring, which is the point.

Across enterprise platforms

Bring us the operating problem, not a predetermined tool.

The same delivery discipline applies to cloud, identity, endpoint, and datacenter systems where platform work still depends on manual queues.

Discuss your platform

Let's talk about your platform.

Bring us in when platform change is slower or riskier than the business can afford.

Discuss your platform