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SolutionsCloud & DevOps

Platforms that hold up under real production load.

We harden cloud foundations, release pipelines, and operational visibility so delivery teams stop firefighting and start shipping on a predictable cadence.

Delivery pipelineGated CI/CD
SOURCE → PRODUCTION01Code02Build03Scan04Deploy05Observe06Optimize

Where this fits

Cloud work only matters when it makes delivery easier to trust.

We focus on the platform decisions that change day-to-day delivery — landing zones with governed access, CI/CD with real review gates, infrastructure as code, and telemetry that tells you what's actually happening in production.

  • Platform baseline and architecture hardening
  • Cloud landing zones with governed access patterns
  • CI/CD with review gates and release controls
  • Infrastructure as code and environment repeatability
  • Operational telemetry and incident visibility
  • Delivery risk and cost governance

Operational outcomes

Platform work should make delivery calmer, faster, and easier to inspect.

This page goes deeper on cloud foundations while still pointing back to the main Solutions page as the primary comparison surface.

01

Faster releases

Pipeline controls reduce manual handoffs and increase confidence in production promotions.

02

Stronger security

Access, policy, and deployment controls are embedded before release pressure grows.

03

Better visibility

Operational telemetry improves issue detection, diagnosis speed, and service recovery behavior.

04

Controlled cost

Cost observability helps teams track ownership, usage patterns, and optimization priorities.

Proof in production

A licensed, GUI-locked pipeline re-engineered to 100% scoring parity.

One engagement rebuilt a vendor-locked, GUI-driven scoring pipeline into containerized Kubernetes services — validated node-by-node to 100% parity with the legacy system, with CI/CD and a full audit trail added from day one.

Read the engagement

FAQ

Frequently asked

What does cloud and DevOps engineering include?

Banjubits' cloud and DevOps engineering covers the infrastructure, deployment, identity and access management, and reliability work required to run a production AI system or digital product after launch — including platforms such as Entra ID and AKS — with governance built into the delivery process.

Can Banjubits support AI systems in production?

Yes. Cloud and DevOps engineering is one of the three disciplines Banjubits delivers as a connected practice, alongside AI systems and digital products, so a production AI system gets the infrastructure and reliability foundations it needs to keep running after handoff.

What cloud technologies does Banjubits use?

Banjubits' documented engagement work includes technologies such as Entra ID, AKS, and KNIME Server, applied to production infrastructure, identity and access management, and data workflow needs within regulated and operational environments.

Running into release risk or platform limits?

Start with a focused platform assessment to map release flow, security gaps, cost pressure, and the fastest path to a steadier production cadence.