Cloud Cost Optimization

Kubernetes vs Fargate Cost Optimization

A cost optimization case study that simplified overengineered AWS compute and reduced spend without hurting release safety.

cloud cost optimization case study

Kubernetes vs ECS

cloud architecture

Terraform Kubernetes

Problem

The platform had drifted into a Kubernetes-first design even though the workloads were predictable and the team did not need that operational overhead.
Infrastructure cost was growing faster than product usage, and the delivery team was spending too much time on cluster operations instead of product releases.

Approach

Mapped workload patterns, deployment constraints, and operational risks before changing the hosting model.
Moved suitable services to lighter-weight runtime paths while retaining release controls, observability, and rollback discipline.
Used cost visibility and environment baselines to validate that the simplification actually improved margins.

Tools

AWS Fargate

Terraform

GitHub Actions

CloudWatch

Outcome

Lower monthly infrastructure spend with a smaller operational surface area.
Faster decision-making on where Kubernetes was still justified and where it was not.
A simpler cloud architecture aligned to the product stage rather than platform fashion.

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