Case Study

Migrating the Legacy Portal to a
Serverless, Cloud-Native Future

The transition to a serverless, cloud-native architecture on Azure significantly boosted scalability, responsiveness, and overall performance. This shift minimized maintenance overhead and infrastructure costs while accelerating feature deployment and improving operational efficiency.

At a Glance

Here, we migrated from a legacy portal to a serverless and cloud-native architecture on Azure. The transformation improved scalability and system responsiveness. Thus, the maintenance overheads have come down. It ultimately produced enhanced user experiences.

Key Highlights

Serverless, Cloud-
Native Migration

Microservices &
Containerization

Event-Driven
Processes

Scalability &
Responsiveness

Reduced Maintenance Overhead

Faster Feature
Deployment

Challenges

It is too difficult to integrate with modern digital services.

The competitive advantage is limited owing to high operational costs and slow feature updates.

The building of legacy portal based on scalability, legacy technology, and hindering performance

About Client

The client is a leading enterprise specializing in digital services and solutions, with a focus on delivering innovative platforms for a diverse range of industries. They manage complex, high-volume systems and are committed to enhancing user experiences through scalable, responsive, and efficient technology solutions. With a growing need for modernization, they sought to transition their legacy platforms to cloud-native, serverless environments to stay competitive and agile in the digital landscape.

Financial Services

Industry

Banking and Financial Institutions

Domain

North America

Location

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How We Worked?

We migrated the legacy portal to a serverless, cloud-native environment on Azure by refactoring the application with microservices and containerization. Using Azure Logic Apps and Azure Functions, we implemented scalable, event-driven processes to enhance system performance and responsiveness.

Key Highlights of the Solution

Microservices & Containerization: Refactored the application using microservices and containerization where needed to enhance scalability and flexibility.

System Re-architecture: Assessed the existing system and identified components for re-architecture to optimize performance and improve integration.

Event-Driven Architecture: Utilized Azure Logic Apps and Azure Functions to build scalable, event-driven processes, enabling real-time responsiveness.

Serverless Cloud-Native Migration: Migration to serverless, cloud-native environment on Azure improved scalability, performance, and reduced costs.

Optimized Infrastructure: Leveraged Azure’s scalable infrastructure to meet business demands and support rapid feature deployment.

Improved Operational Efficiency: Enhanced system responsiveness and reduced maintenance overhead, leading to improved operational efficiency and cost savings.

Technologies

Results

The migration to a serverless, cloud-native environment significantly enhanced the client’s operations across several key areas.

Customer satisfaction saw a marked increase due to faster feature deployment cycles, enabling quicker responses to market demands and customer needs.

The scalability and responsiveness of the system improved drastically, allowing for seamless handling of high volumes and ensuring a more agile infrastructure.

Additionally, maintenance overhead and infrastructure costs were drastically reduced, leading to more efficient resource management and lower operational expenses.

Increased Customer Satisfaction

Faster feature deployment improved user experience and satisfaction.

Improved Scalability & Responsiveness

The serverless architecture enabled seamless scaling and enhanced system performance.

Reduced Maintenance & Costs

The cloud-native solution lowered maintenance overheads and infrastructure costs.

Conclusion

The migration to a serverless, cloud-native architecture on Azure enhanced scalability, responsiveness, and performance, while reducing maintenance costs. This transformation improved operational efficiency, accelerated feature deployment, and increased customer satisfaction, positioning the client for future growth and competitiveness.

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