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Automation in Legacy Modernization

Legacy Modernization and Cloud Computing are two important concepts, providing businesses with the opportunity to transform their operations through cost-effective architectures, improved scalability, streamlined operational processes, and enhanced adaptability. Through Legacy Modernization, companies are able to upgrade their legacy systems by replacing them with updated software while transferring existing data, functions, and business rules from the old system. By leveraging the cloud, businesses can benefit from a more agile infrastructure that is highly secure and reliable for storing large amounts of data and running countless applications. This allows businesses to easily scale up their operations as their needs evolve. The combination of Legacy Modernization and Cloud Computing provides successful organizations with an efficient way to meet customer demands in order to remain competitive in today’s ever-changing market.

Automation in cloud computing is a powerful tool for optimizing operations and bringing scalability to organizations. Automation can be used to streamline the process of configuring, deploying, and monitoring cloud infrastructure, enabling organizations to rapidly deploy applications at scale without manual effort or complexity. Additionally, automated provisioning and patch management processes can enable IT teams to quickly deploy/roll-out changes with minimum disruption as well as maintain optimal levels of service for users.

Scheduler integration is an important component for successful AWS mainframe modernization, as it allows workloads to be programmed, automated and scheduled in complex multi-tiered systems. By better managing time-sensitive data, transactional processes and resource allocation, scheduler integration enables scalability and reliability of mainframe systems while also making them more cost efficient. It helps drive improved performance by providing a secure platform to manage job requests and prioritize the most essential tasks or workflows. And because job scheduling functions are accessible via APIs, it simplifies deployment across different cloud services and makes management easier across both legacy IT systems as well as modern digital technologies.

AWS re:Invent 2022 was a highly anticipated event, first held in 2012 and now hosting over 65,000 attendees from around the world. This year’s virtual summit was packed full of announcements and exciting new features, focused on helping businesses unlock their potential through AWS cloud technology. Attendees received an immersive learning experience featuring interactive sessions covering topics such as AI, IoT, security, serverless computing and more. In addition to keynotes delivered by the top minds in cloud innovation and best practices from Amazon leaders, participants also had access to demos on the latest products within AWS’ expansive portfolio.

“Stonebranch UAC integration with AWS Mainframe Modernization Service” developed Praveen Kumar Jeyarajan along with co-authors Vaidyanathan Ganesa Sankaran and Huseyin Gomleksizoglu was well-received and played a strong foundation for the field of Automation and DevOps. The audience were demonstrated on how Stonebranch UAC Scheduler is integrated with AWS Mainframe Modernization service and the benefits of the integration for mainframe application migration and modernization.

Praveen Kumar Jeyarajan
Praveen Kumar Jeyarajan

The Stage speaker, Praveen Kumar Jeyarajan, Sr DevOps Architect at Amazon Web Services Inc., is a premier specialist and Subject matter expert in the world of Automation and DevOps. His significant contributions around DevOps, Test automation and legacy modernization has paved way to multiple innovations and developments of the field. While presenting at re:invent 2022, he demonstrated a range of use cases of Automation in the cloud (Legacy Modernization, DevOps and Migration) and went further to address scheduler integration with AWS Mainframe Modernization service. “The use of Automation in legacy modernization will reduce time-to-market, boost reliability, and motivate organizations to modernize applications at a faster pace,” he says.

Automation in cloud computing is used to automate tasks such as provisioning cloud infrastructure, optimizing performance, and ensuring compliance. It helps users to manage their data quickly, efficiently, and cost-effectively, and also ensures reliability, scalability, and security of data. Automation is becoming increasingly important as cloud environments become more complex and users need to move faster to stay competitive.