Case Study
AWS-powered Solution Enhances Data Security and Performance for Client’s Financial Application

AWS-powered Solution Enhances Data Security and Performance for Client's Financial Application

The client designed an application to manage large financial data and requires a secure ecosystem to ensure data integrity and confidentiality. Recognizing the budget-friendly nature of AWS and its ability to support vital functions, People Tech Group initiated the implementation of a solution by evaluating service providers. This case study presents the problem faced by the client, the solution implemented using AWS, and the resulting benefits achieved.


The client, as a financial data management application, faced the challenge of establishing a secure environment for its operations. The sensitive nature of financial data necessitated a robust infrastructure capable of handling the scale and complexity of the application while ensuring data confidentiality, integrity, and availability. The existing infrastructure fell short of meeting these requirements, prompting the need for a reliable and secure solution.


To address the client’s requirements, People Tech Group undertook the implementation of an AWS-based solution. The following steps were taken to enhance the security and reliability of the client’s application:
Server Migration and Deployment: The existing servers were migrated to the AWS platform and deployed based on the specific requirements of the client. This ensured a seamless transition to the new infrastructure, minimizing downtime and disruption to operations. EC2 Instances with Windows Service: AWS EC2 instances were implemented with Windows services, providing the necessary computing resources for running the client’s application. These instances were configured with attached Autoscaling and Elastic Load Balancers to optimize performance and ensure high availability. Data Security in Amazon RDS: The financial data managed by the client was securely stored in Amazon RDS (Relational Database Service). Amazon RDS provided private subnets to isolate the data and protect it from unauthorized access. Additionally, automated backups were set up to ensure data resilience and disaster recovery capabilities.


The implementation of the AWS-based solution for the client yielded significant results, enhancing the security, reliability, and scalability of the application. The following benefits were realized:
Enhanced Security: By leveraging the secure infrastructure of AWS, the client’s sensitive financial data was safeguarded against unauthorized access, ensuring compliance with data protection regulations and maintaining customer trust.

Improved Performance and Availability: The utilization of EC2 instances with Autoscaling and Elastic Load Balancers optimized application performance and provided high availability. This resulted in improved user experience and minimized downtime due to infrastructure issues.

Cost-Effectiveness: AWS, being a budget-friendly platform, allowed the client to optimize its IT infrastructure costs. The pay-as-you-go model enabled efficient resource allocation and scalability, reducing unnecessary expenses.

Data Resilience and Disaster Recovery: The automated backups implemented in Amazon RDS ensured the availability of up-to-date data backups, reducing the risk of data loss and enabling quick recovery in case of any unforeseen incidents.
The implementation of an AWS-based solution provided the client with a secure and reliable ecosystem to manage its large financial data. The successful migration, deployment of EC2 instances, implementation of Amazon RDS for data security, and the resulting benefits demonstrated the effectiveness of the chosen solution in meeting the client’s requirements.

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