Platform engineering services

Turn platform administration into a path teams can use.

Databricks platform engineering is the specialty. Azure cloud engineering and Microsoft Intune services apply the same delivery discipline to the systems around it.

Primary service

Databricks platform engineering

Databricks consulting services for platform administration, Unity Catalog governance, infrastructure as code, and operations. The entry offer is the Databricks Well-Architected Assessment.

Explore Databricks consulting services

Supporting cloud service

Azure cloud engineering

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

Explore Azure cloud engineering

Supporting endpoint service

Microsoft Intune consulting

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

Explore Microsoft Intune consulting

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

    Work inside the day-to-day process and find where time and attention go.

    What you leave withA prioritized view of what to codify and what to fix first.

  2. Codify

    Bring the right live configuration into Git and make it the default change path.

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

  3. Operationalize

    Define a governance model for who can change what, how it is approved, and how it is released.

    What you leave withA governed path for the right people and teams to make changes safely.

  4. Enable

    Make the model clear and usable in daily work.

    What you leave withDocumentation, standards, and templates that fit the team.

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.

Beyond Databricks

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