Relying on legacy solutions hindered the company’s ability to meet increasing customer demand and scale efficiently.
The previous environment limited innovation, making it harder to rapidly introduce new functionalities and meet evolving business requirements.
Inefficient resource allocation and reliance on costly services inflated operational expenses and constrained the company’s growth potential.
Optimizing Kubernetes-based deployments required specialized solutions to ensure reliable performance, simplified management, and seamless updates.
Applaudo collaborated with the mortgage lender to migrate their existing infrastructure from GCP to AWS, introducing a modern, cloud-native environment. Through careful planning, testing, and deployment, we integrated Kubernetes-based workloads into AWS, leveraging cloud-native tools to streamline operations, ensure high availability, and maintain consistent performance.
Our approach focused on delivering a more scalable architecture that readily accommodated growth and rapidly introduced new features. By optimizing resource allocation and enabling self-service capabilities, employees gained efficient workflows, reduced overhead, and more time to innovate. This holistic transformation paved the way for long-term success and sustainable expansion.
Implemented a robust, cloud-native platform that easily scaled to meet surging customer demand and supported rapid feature delivery.
Optimized resource allocation and leveraged cost-effective cloud services, lowering expenses and freeing capital for strategic initiatives.
Streamlined Kubernetes workloads, simplified processes, and introduced new features, empowering staff to focus on innovation and customer-centric enhancements.
VP of Engineering
Mortgage Lender