Cloud Infrastructure

Enterprise Cloud Cost Optimization Platform

Bringing financial accountability to cloud operations through real-time cost visibility, automated optimization, and FinOps best practices.

500+

Resources Optimized

98%

On-Time Delivery

6-Month

Full Deployment

Sector:Commercial

Client:Financial Services Firm

Duration:6 months

Role:FinOps Strategy & Cloud Optimization

Overview

EaseOrigin partnered with a mid-market financial services firm to design and implement an enterprise cloud cost optimization platform. The engagement established a FinOps operating model with real-time cost visibility dashboards, automated rightsizing recommendations, reserved instance management, and policy-driven guardrails to prevent cost overruns across 500+ cloud resources spanning development, staging, and production environments.

The Challenge

The firm's cloud spend had grown 60% year over year with no clear accountability or cost attribution. Engineering teams provisioned resources without visibility into spending impact, reserved instances were underutilized, and idle resources accumulated across environments. Finance and engineering operated in silos, with monthly billing surprises eroding trust and making budget forecasting unreliable.

Our Solution

EaseOrigin implemented a FinOps platform anchored by CloudHealth for cost management and Grafana for real-time visualization. We built automated rightsizing pipelines using Python and Lambda that continuously analyzed resource utilization and surfaced optimization recommendations. Terraform modules enforced tagging policies and cost allocation standards, while scheduled Lambda functions identified and flagged idle resources for review. A weekly FinOps review cadence was established between engineering leads and finance stakeholders.

Results

35% reduction in overall cloud spend within the first quarter

$2M+ in annualized cost savings identified and implemented

500+ cloud resources profiled, tagged, and optimized

Real-time cost dashboards with team-level spend attribution

Automated rightsizing recommendations delivered weekly

Reserved instance utilization improved from 45% to 92%

Technologies Used

AWSCloudHealthTerraformPythonGrafanaLambdaS3CloudWatch

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