---
title: "Clinic to Cloud Azure Savings Case Study"
canonical: "https://data-driven.com/case-study/clinic-to-cloud-with-azure-optimisation/"
description: "See how an Azure infrastructure and DevOps audit cut Clinic to Cloud's Azure spend by 46% over a two-week change and measurement period."
---

Clinic to Cloud · Azure FinOps

# Clinic to Cloud cut Azure spend by _46%_

Data-Driven audited Azure and DevOps, removed or scaled down underused resources, and measured the change over two weeks.

![Clinic to Cloud team, logo, and application screens](/_astro/19-2.DsM_u5iJ_ZtLdsb.webp)

Project scope

## Audit Azure use, then measure each change

Clinic to Cloud’s Azure bill had grown as the product and development team grew. Data-Driven reviewed the infrastructure and DevOps process, then ranked changes by benefit and risk.

[Check the Microsoft Marketplace record](https://marketplace.microsoft.com/en-us/product/saas/data-drivenai1581501556049.cloudmonitor?tab=overview)[Explore CloudMonitor FinOps](/solution/cloudmonitor-finops/)

Results at the recorded scope

## The measured Azure bill fell after the changes

Data-Driven’s case record and the Microsoft Marketplace listing both publish the 46% Azure spend result.

46%

Reduction in Azure spend

2 weeks

Implementation and measurement period

$1000s

Monthly subscription savings described by the customer

> “Data-Driven AI did a comprehensive audit of our Azure infrastructure and DevOps processes. They identified and improved several areas, saving our company thousands of dollars each month in subscription costs.”

Rafic Habib

CEO, Clinic to Cloud

Cost pressure

## Growth made Azure ownership harder to see

The review treated cost as an engineering and operating concern.

1.  Azure subscription costs had risen as the service grew.
2.  More developers could make resource ownership and cost effects less clear.
3.  The DevOps process needed updates to match the platform.

Change method

## Remove or scale down resources in a measured order

The team identified underused resources and ranked actions by likely benefit and risk. It then applied and measured the changes over two weeks while watching system performance.

1.  Review Azure resources and the DevOps process.
2.  Find resources that can be removed or scaled down.
3.  Order the changes by benefit, risk, and service effect.
4.  Measure spend and performance after each set of changes.

Savings boundary

## The 46% result belongs to this Azure environment

The figure compares measured Azure spend after the project changes with the project baseline. It is not a guaranteed saving for another environment, and it does not describe a patient or clinical result.

### Rebuild the baseline for the next review

Set the billing window, workload demand, service-level checks, excluded costs, and change owner before calculating a saving.

## Discuss an Azure cost review

Bring the billing period, subscriptions, workload owners, change controls, and service baseline. We will use them to frame the review.

[Contact Data-Driven](/contact-us/)

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## Want to learn more?

Explore the rest of the site or get in touch with the team.

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