Modernization of a Web Car Rental App

Automotive

Customer rating

4.9

This ranking reflects our expertise and success

About the client

In this business case, our customer was a major car booking service provider working in 160+ countries.

Location:Latvia

Project overview

The customer approached Andersen's team with a request to modernize their web app. Their goals were to ensure reliability, scalability, and enhanced UX. Also, they wanted to integrate a range of advanced technologies while maintaining PCI DSS compliance.

Duration48+ months

Technologies

AWS

React

Next.js

GraphQL

Storybook

.NET 8

Customer Challenges

The customer required a major overhaul of their web app to improve its dependability, flexibility, and user convenience. In general, their objectives included updating the tech stack, implementing a new design, ensuring PCI DSS compliance, and optimizing infrastructure for cost efficiency and future growth. Migrating to AWS was critical in this respect.

Solution

Andersen's solution involved comprehensive modernization. This included migrating the front-end from Node.js to Next.js, upgrading the back-end from .NET Framework 4.7.2 to .NET 8, and transitioning the database from MSSQL to PostgreSQL to boost cost efficiency and performance. The infrastructure was modernized with Kubernetes and Amazon OpenSearch Service, while autoscaling was optimized via Karpenter. On top of that, PCI DSS compliance was implemented to ensure security for a custom payment solution.

Migrating to AWS led to significant improvements in performance, scalability, and a reduction in operational risks. Previously, the infrastructure depended on self-managed solutions, e.g., Amazon OpenSearch Service and MSSQL, which demanded substantial administration, frequent upgrades, and incurred high-availability expenses. The web application's migration to AWS, including the transition to Amazon OpenSearch Service and Amazon RDS for PostgreSQL, has not only streamlined operations but also considerably lowered maintenance costs.

Further, the adoption of AWS services has optimized both operational expenses (OpEx) and capital expenditures (CapEx). Autoscaling (via HPA) dynamically reduces resource usage during low-load periods, while eliminating self-managed services cuts down on administrative and upgrade costs. AWS managed services have further reduced expenses on hardware, power, and data center rentals. Also, the active use of Amazon EC2 Spot Instances has significantly minimized compute costs.

Finally, the deployment of four additional front-end clusters has enhanced system performance by reducing average response times. This migration has delivered intangible benefits as well, including improved fault tolerance, enhanced UX, simplified infrastructure management, and a notable reduction in application downtime.

These results were achieved using the following AWS services: