Cloud Cost Optimization for Enterprises

By TwistedTech Consulting

Introduction

Cloud adoption enables agility and scalability, but without architectural discipline and governance, costs can quickly spiral. In many enterprise programs we have worked on, more than 25–40% of cloud spend was attributed to over-provisioned resources, inefficient data pipelines, and lack of cost ownership.

Our Approach: Architecture-Led FinOps

At TwistedTech, we don’t treat cost optimization as a one-time exercise. We embed cost intelligence into the architecture using a FinOps-driven operating model:

Key Optimization Techniques We Apply

1. Right-Sizing Compute & Services

We analyze usage patterns across VMs, Kubernetes clusters, serverless functions, and managed services. Typical actions include:

2. Data & Storage Optimization

In data-intensive platforms (telemetry, healthcare systems, insurance analytics), storage and data movement are often the largest cost drivers. We:

3. Architectural Refactoring

Legacy monolithic services migrated “as-is” to the cloud often result in high baseline costs. We refactor these into:

Sample Outcome: In a large analytics platform, we reduced monthly cloud costs by 32% by redesigning ingestion pipelines, right-sizing compute, and introducing data lifecycle management — without impacting performance or compliance.

Embedding Cost Intelligence into Delivery

Beyond technical changes, we help organizations institutionalize cost governance:

Conclusion

Cloud cost optimization is not about cutting corners — it is about engineering efficiency into your architecture. With TwistedTech’s architecture-first FinOps approach, enterprises achieve sustained cost savings while improving scalability, reliability, and compliance.

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