Cloud platform & FinOps

Production platform for data and AI

A three-environment AWS platform built to support application delivery, large-scale data processing, analytics, machine learning and AI workloads.

Environment: AWS, three controlled environments · Focus: Reliability, delivery and cost control · Operating model: Infrastructure as code and managed baselines

The challenge

Many workloads, one operating platform

The client needed separate development, staging and production environments for application delivery, scheduled data workflows, distributed processing, analytics and machine-learning jobs.

The work was not simply to provision cloud services. Reliability, access, observability, cost and support ownership had to be visible from the start.

Delivery approach

Platform foundation

EKS, private networking, managed data services and workload-aware baseline capacity.

Delivery controls

Terraform modules, environment-aware deployment paths and documented operating procedures.

Operations

Metrics, logs, alerts, runbooks, security controls and recurring cost review.

What changed

  • A repeatable route from code to controlled environments.
  • Clearer ownership of reliability, security and platform cost.
  • Shared operational controls across application, data and AI workloads.
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