Though they can be deployed to hosted cloud infrastructures, using Amazon Elastic Compute Cloud (Amazon EC2) as compute and Amazon Relational Database Service (Amazon RDS) as a database platform, their use of cloud is limited to infrastructure as a service (IaaS). These COTS products are often not cloud-native, which prevents them from taking advantage of the various cloud services. While custom batch jobs can undergo some migration to make them more cloud-friendly, COTS platform modernization poses a different kind of challenge. In most cases, enterprises are usually running custom-built batch jobs built on top of a COTS platform. Many customers take this opportunity to move to a modern architecture primarily to leave proprietary license locks and achieve optimum operational excellence to run predictable scheduled batch jobs. They play a crucial role in integrating multiple disparate applications by providing services to schedule, orchestrate, manage, and monitor batch jobs to enable process automation and improve efficiency.ĭuring the digital transformation journey, some customers want to lift and shift those COTS products to avoid any changes in their enterprise ecosystem.

Large enterprise customers depend heavily on commercial off the shelf (COTS) products for scheduling jobs or running batch jobs.

By Mittal Bhiogade, Chief IT Architect – Resolution Lifeīy Hitesh Bagchi, Chief Architect – Cognizantīy Pratip Bagchi, Sr.

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