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Cloud and Platform Engineering

Secure, cost-aware cloud foundations for data and AI, in the right region.

Data and AI workloads stress cloud platforms differently from traditional applications: large storage, bursty compute, GPUs and strict data residency. Foundations built for web apps often fall short.

We design and build the landing zones, container platforms and cost controls data and AI need, including regional and sovereign options in the UAE and Saudi Arabia.

What is included

Service offerings

07.1

Cloud strategy for data and AI

Which workloads go where: public, hybrid, sovereign or on premises.

  • Workload placement
  • Provider and region options
  • Business case

07.2

Landing zones

Secure, governed cloud foundations with identity, network and policy.

  • Landing zone design
  • Infrastructure as code
  • Guardrail policies

07.3

Kubernetes and containers

Container platforms for data, ML and AI workloads.

  • Platform design
  • Cluster build
  • Platform runbooks

07.4

Data residency and sovereign cloud

Designs that keep data and processing in-country where required.

  • Residency assessment
  • Region and service mapping
  • Control design

07.5

FinOps

Cost visibility, allocation and optimisation for data and AI spend.

  • Cost dashboards
  • Tagging and allocation
  • Optimisation plan

When to call us

Signs you need this

  • Cloud bills grow faster than usage.
  • Unclear which cloud services and regions satisfy residency rules.
  • Each team builds its own environment.
  • GPU and AI workloads need a home.

Approach

How we work

  1. 01Place

    Decide where each workload should run and why.

  2. 02Found

    Build secure, automated foundations as code.

  3. 03Enable

    Give teams self-service platforms with guardrails.

  4. 04Optimise

    Track and reduce cost continuously.

Standards and frameworks

Aligned with recognised practice

  • Provider cloud adoption frameworks (AWS, Azure, Google Cloud)
  • FinOps Framework
  • NCA Cloud Cybersecurity Controls (KSA)

Solutions

Where this service is applied

Data foundations

Modern Data Platforms

One governed platform for analytics and AI, designed for your scale and your region.

View solution Applied AI

Enterprise AI Assistants

Secure assistants that know your business and act within your rules.

View solution Applied AI

Knowledge and Retrieval Systems

Make the organisation's knowledge findable, citable and usable by AI.

View solution

Technology

Platforms we work with

Vendor-neutral: examples of platforms commonly used in this service. Names identify technologies only and do not imply a partnership.

  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Oracle Cloud Infrastructure
  • Core42
  • Kubernetes
  • Terraform
  • Red Hat OpenShift
See the full technology ecosystem →

Insights

Further reading

Cloud Strategy for Data and AI

Most enterprises do not need to chase GPUs or the best model across clouds. They need to run AI where their governed data already lives, decide deliberately how much residency they will pay for, and keep the exit cheap.

Read →

Multi-Cloud, Hybrid or Concentration?

Symmetric multi-cloud is the most expensive way to reduce cloud risk, and regulators do not require it. For most enterprises the stronger posture is deliberate concentration on one primary cloud, with a tested exit and multi-cloud only where a workload earns it.

Read →

Kubernetes for Data and AI

Kubernetes has become the default substrate for AI inference, but it is an operating model, not a product. Adopt it when you can staff a platform team and have enough workloads to share it; otherwise, buy the managed service and keep your containers portable.

Read →

AI Data Residency in KSA and the UAE

Hosted in the region is not the same as processed in the region. For most frontier models, a Gulf deployment today stores your data locally and sends your prompts abroad, so residency has to be decided per workload and per feature.

Read →

Talk to us about Cloud and Platform Engineering

Engage this service on its own or as part of a solution. We will agree scope, outcomes and the right team with you.

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