Agriculture
We help companies with their engineering needs in software development and help adopt cloud native technologies to make their infrastructure robust and scalable.
October 28, 2024
An agricultural-based customer, a global leader in agricultural machinery and financial services, approached AIN to modernize their legacy Debt Manager System, which was running on an aging mainframe infrastructure. The system, critical for managing loan portfolios, debt servicing, and financial operations, had become expensive to maintain and lacked the flexibility needed to adapt to the company’s evolving business requirements.
AIN was tasked with transforming the Debt Manager System into a modern, scalable, and cost-effective solution using AWS cloud services, ensuring seamless data migration, enhanced performance, and long-term sustainability.
The existing mainframe architecture made it difficult to scale operations efficiently, limiting the company’s ability to handle increasing data volumes as they expanded their loan and financial services.
The legacy mainframe system was expensive to maintain due to rising hardware costs, specialized support, and increasing licensing fees. Additionally, the system required significant manual effort for routine tasks like scaling and managing workloads.
Maintenance of the legacy system was both time-consuming and resource-intensive, with frequent system downtimes and challenges in meeting business needs for real-time data processing and analysis.
AIN's approach to IT modernization of the Debt Manager System involved a comprehensive shift from mainframe architecture to a cloud-based solution on Amazon Web Services (AWS). Our team focused on the following areas:
We designed and implemented a microservices-based architecture in AWS, ensuring flexibility, reliability, and scalability. The architecture leveraged services such as AWS Lambda, Amazon RDS, Amazon S3, and AWS Step Functions to handle business logic, data storage, and workflow automation.
A secure and seamless data migration strategy was employed, ensuring that all loan portfolios, financial records, and customer data were accurately transferred from the mainframe system to AWS without any data loss or downtime. We used AWS Database Migration Service (DMS) to facilitate the migration process.
With AWS’s auto-scaling capabilities, the new Debt Manager System could automatically adjust resources based on workload demands. This led to a more efficient use of computing resources, reducing costs and increasing system availability.
AIN incorporated AWS security best practices, using AWS Identity and Access Management (IAM), AWS Key Management Service (KMS), and AWS CloudTrail to ensure that the new system adhered to strict financial compliance and data security standards.
With the modernization, the Debt Manager System gained the ability to process data in real time, utilizing Amazon Kinesis and Amazon SNS to deliver real-time updates on loans, payments, and financial transactions, which improved customer service and operational efficiency.
The shift from a mainframe to AWS cloud reduced operational costs by 40%. The customer was able to eliminate high mainframe maintenance fees, hardware upgrades, and manual system scaling efforts, resulting in savings on both infrastructure and labor costs.
The new AWS cloud-based system allowed the company to scale operations dynamically based on demand. The auto-scaling feature provided by AWS enabled the system to handle increased data loads during peak times without manual intervention, improving system performance and reducing bottlenecks.
We incorporate interactive elements such as simulations, games, and challenges to make learning fun and rewarding, boosting engagement and knowledge retention.
Our e-learning solutions include built-in assessments, quizzes, and certification programs to track learning progress and ensure learners achieve key competencies.
We develop content in multiple languages, ensuring accessibility for a global audience. Our localization services adapt the content to specific cultural and regional contexts, making it more relevant for international learners.
The modernization of the Debt Manager System from a legacy mainframe to a cloud-based architecture on AWS marked a significant transformation in the customer’s IT landscape. AIN’s expertise in cloud computing and software engineering helped achieve substantial cost savings, improved scalability, and enhanced overall system performance. This modernization project not only future-proofed debt management operations but also positioned the company to drive innovation in their financial services for years to come.
Data and Analytics
Project Overview Several customers, ranging from global retail enterprises to financial services and healthcare organizations, approached AIN to modernize their outdated data warehouse systems. These clients were struggling with slow reporting, inefficient data processing, and limited scalability. Their legacy data...
October 28, 2024
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