Category: Mainframe & Legacy

Learn the compelling benefits of mainframe modernization, how generative AI can simplify the process, and how Accenture and Amazon Web Services (AWS) can accelerate implementation. Mainframe Modernization in the cloud improves agility and scalability by migrating challenging legacy systems to more flexible and open solutions.

Learn how Virtusa, an AWS Premier Tier Services Partner, leverages generative AI through their Helio platform to modernize legacy applications. Using Amazon Q Developer Agent and Amazon Bedrock, Virtusa automates code transformation and documentation, enabling faster Java upgrades and mainframe migrations while reducing modernization costs and complexity.

Enterprises are seeking mainframe modernization to drive efficiency, agility, and innovation. A Kyndryl survey revealed that 95% are migrating mainframe applications to the cloud, with 37% of workloads being relocated on average. Despite challenges like workforce shortage, businesses report increased profitability and millions in average annual savings through modernization. Kyndryl offers expertise, tools, and solutions to assist clients in navigating this complex journey seamlessly while enhancing operational efficiency.

Traditional mainframe applications create data integration challenges when modernizing on the cloud. VirtualZ’s Lozen allows secure, real-time access to mainframe data from AWS without replication. This simplifies application migration while retaining the mainframe system of record. Lozen utilizes efficient data transformation and optimized protocols to improve performance, and is zIIP-eligible for additional cost savings.

Many organizations are migrating mainframe workloads to AWS to modernize applications and infrastructure. Mainframe batch jobs are business-critical, so AWS integrated its Mainframe Modernization service with BMC’s Control-M workflow orchestrator. Control-M automates and monitors batch jobs on-premises and in the cloud. This integration provides end-to-end visibility, prevents service degradation, and avoids missed SLAs.

As organizations modernize mainframe applications, integrating mainframe batch workloads into cloud environments is a key challenge. Stonebranch’s scheduler integrates with AWS Mainframe Modernization service to enable centralized, automated scheduling and monitoring of mainframe batch jobs on the cloud. This improves efficiency, optimizes costs, and accelerates mainframe modernization by enabling seamless workload orchestration across legacy and modern platforms.

Many enterprises have significant portions of their workloads running either as batch or online but still operating on mainframe technologies. Delve into the complex landscape of modernizing mainframe applications and migrating them to AWS, exploring the significant challenges that organizations face and how HCLTech’s Advantage Modernize Framework overcomes these challenges and paves the way for a successful and efficient transition to AWS.

To embark on a successful journey of mainframe modernization, it’s crucial to have a plan that aligns with business priorities and technical drivers. AWS Mainframe Modernization Service provides multiple approaches to meet customers’ objectives. Some of these approaches are automated from assessment to migration, and this post provides an overview of the relevance, challenges, approach, and methodology employed by Wipro and AWS

Legacy technologies can be challenging to maintain and integrate with modern applications, channels, and architectures. Modernizing such systems requires specialized expertise to decouple and expose core architecture, and a carefully planned approach to minimize risks, control costs, and ensure success. Learn how OpenLegacy helps enterprises untangle monolithic core systems with its integration technology to build APIs from legacy assets like mainframes and midrange systems.

As technology advances and business requirements change, organizations may find themselves needing to migrate away from legacy data processing systems like HBase, Solr, and HBase Indexer. Explore the advantages of migrating from HBase, Solr, and HBase indexer to a modern data ecosystem based on AWS, and dive deep on the discuss architecture, design, and pathways for implementation. This post offers insights and guidance from Rackspace for those looking to embark on this intricate migration journey.