Case Study 1: Optimizing Azure Cloud for a Global Real Estate Technology Firm
Client Overview
A global technology services provider in the real estate domain, managing multiple external integrations and operating at scale on Microsoft Azure.
Requirement
The client was facing significantly high Azure cloud costs, primarily due to unoptimized Databricks API calls. Additionally, their systems lacked a standardized approach for integrating and managing third-party applications, resulting in complexity and reduced visibility.
Our Approach & Solution
We conducted a comprehensive Azure cloud consulting engagement to identify inefficiencies and architect a scalable solution.
- Detected excessive cost drivers, especially around Databricks API usage.
- Designed and implemented a centralized, event-driven API calling framework using Azure Event Grid, Data Factory, Service Bus, and CosmosDB.
- Enabled seamless and standardized third-party service integrations via a unified API layer.
- Brought structure, reusability, and observability into the cloud operations.
Results
- Up to 30% reduction in Azure cloud costs
- Greater visibility into API usage and performance
- Improved accountability for third-party interactions
- Faster onboarding of external services through standardized APIs
- Enhanced scalability and maintainability of integrations
- Event-driven design set the stage for future automation and data workflows