Newgen Software Technologies Modernizes Platform Architecture, Cutting Database Costs by 30%

When Newgen started, it deployed its solutions directly into customer data centers. As cloud adoption grew, the company expanded its portfolio to a cloud model across different cloud providers, giving customers more flexibility and cost efficiency.

As the market evolved, Newgen saw clear signals to modernize further. Customer organizations were scaling rapidly, with user concurrency rising from a few hundred to thousands, requiring a more responsive and scalable infrastructure. At the same time, customers were becoming more cost-conscious and expected solutions that could flex with usage and avoid large upfront infrastructure investments. Competitive pressures also intensified, with rivals offering similar capabilities at lower prices through modern, cloud-native architectures.

To stay competitive, Newgen treated these shifts as an opportunity to sharpen its platform. The business set out to modernize its architecture with a microservices-based, containerized approach on AWS to optimize infrastructure costs through efficient resource use and elastic scaling. This would also help accelerate the delivery of new features. “We wanted to upgrade our environment powering the NewgenONE platform to improve scalability and efficiency,” says Anagat Pareek, vice president of cloud and cybersecurity at Newgen. The initiative aimed to energize Newgen’s technical teams as well, equipping them with the latest cloud-native skills to drive future innovation.

The first step in Newgen’s modernization roadmap was rethinking its database strategy. The company had already transitioned from a proprietary software database to PostgreSQL on Amazon Elastic Compute Cloud (Amazon EC2), achieving strong performance and reliability. Building on this foundation, Newgen began planning its next phase: containerizing its applications to strengthen efficiency and competitiveness. “We wanted to bring down costs through more efficient infrastructure usage and scaling on demand,” says Pareek. “Standardizing on microservices would ensure our continued competitiveness.”

To accelerate its modernization journey, Newgen partnered closely with its AWS team, including AWS Enterprise Support. Weekly meetings, architectural workshops, and ongoing guidance from AWS Solutions Architects supported benchmarking and testing efforts. “Engaging with our AWS support team gave us valuable expertise to fall back on,” says Pareek.

With AWS support, Newgen then migrated its PostgreSQL workloads from Amazon EC2 to Amazon Aurora for PostgreSQL without disruption. The fully managed service automated maintenance, patching, backup, and recovery tasks, reducing operational overhead. It also delivered stronger performance with auto-scaling, improved throughput, and advanced monitoring. “Compared to when we ran our proprietary solution, we reduced the total cost of ownership for our databases by 20–30 percent by migrating to Amazon Aurora for PostgreSQL,” says Satish Kumar Vijay, deputy general manager–cloud and cybersecurity at Newgen.

To boost resilience, Newgen adopted Amazon Aurora Global Database, enabling cross-region failovers with a recovery point objective (RPO) of under one second for planned failovers and under one minute for unplanned ones.

In parallel, Newgen began containerizing its platform applications using Docker and deploying them on Amazon Elastic Kubernetes Service (Amazon EKS). It standardized the containerized environment over four to five months with AWS guidance. By moving away from a monolithic application architecture, the team improved scalability and reduced costs. “Once our solutions needed to support 100 to 200 concurrent users, but that number has now increased by hundreds to thousands,” says Pareek. “With Amazon EKS, we no longer have to think about that figure’s continued rise.”

To further optimize cost and performance, Newgen migrated its Amazon Aurora workloads from x86-based instances to AWS Graviton processors. “Testing Amazon Aurora on AWS Graviton showed about 30 percent better price performance than our previous x86 processors, which made it the natural choice for our standard architecture,” says Soni Neelankavil, associate vice president at Newgen.

Today, around 60 percent of Newgen cloud customers have adopted Amazon Aurora PostgreSQL databases powered by AWS Graviton processors as part of their NewgenONE architecture. Customer response has been strong, with several businesses already signing up for container-based deployments. “We expect adoption to grow as our sales teams continue promoting the new architecture,” Pareek adds. The modernized stack has reduced management and operational overhead while improving scalability and reliability. “It helps us stay competitive in a market where customers are demanding more for less,” he explains.

Internally, the shift has energized teams by introducing new technologies and learning opportunities. “Exposure to containerization boosts morale—our engineers are gaining new skills while driving real business impact,” says Vijay.