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DataInn Technologies

Data Foundation

Cloud Solutions

A cloud foundation that is secure by default, cost-governed from day one, and ready for data and AI workloads.
Time to provision a compliant environmentMonthly cloud spend against budgetWorkloads migrated without unplanned downtimePolicy and guardrail coverage

Overview

Good cloud foundations are invisible: environments appear in minutes, guardrails catch mistakes, and the bill matches the plan. We build those foundations for data and AI workloads.

Outcomes we measure

  • Time to provision a compliant environment
  • Monthly cloud spend against budget
  • Workloads migrated without unplanned downtime
  • Policy and guardrail coverage

Problems we solve

Sound familiar?

  1. 01

    Accounts and subscriptions were created ad hoc, with no consistent network, identity or tagging.

  2. 02

    Cloud bills grow faster than usage and nobody can explain why.

  3. 03

    Migrations keep slipping because dependencies and data volumes were underestimated.

What we deliver

Concrete deliverables, not slideware.

  • Landing zones

    Account and subscription structure, networking, identity, logging and guardrails as code.

  • Migration plans and execution

    Wave planning, data migration and cut-over runbooks for databases, pipelines and applications.

  • FinOps and cost governance

    Tagging, budgets, anomaly alerts and right-sizing, with dashboards owners actually read.

  • Platform automation

    Infrastructure as code, CI/CD and policy-as-code so environments are repeatable.

How it works

From first call to production.

  1. 01

    Cloud assessment

    Review current estate, security posture, spend and the workloads that need to move.

    2–3 weeks

  2. 02

    Landing zone build

    Deploy the secure, governed foundation as code in your accounts.

    3–6 weeks

  3. 03

    Migrate in waves

    Move workloads and data with tested cut-over plans and rollback paths.

    6–12 weeks per wave

  4. 04

    Optimise

    Cost reviews, right-sizing and guardrail tuning on a regular cadence.

    Ongoing

Tech & frameworks

Tools we use — in your stack.

  • AWS
  • Microsoft Azure
  • Google Cloud
  • Terraform
  • OpenTofu
  • Kubernetes
  • GitHub Actions
  • Azure DevOps

Related projects

Case studies

Case studies for this service are being prepared. Ask us for references on a call.

FAQ

Frequently asked questions

Data Foundation

Related services

All data foundation services

Scope it with a senior practitioner

Book a 45-minute readiness call.

Where you are, what to fix first, and what it would take.