Tag: Blu Age

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.

We are excited to launch the AWS Mainframe Modernization service, a unique platform for mainframe migration and modernization allowing customers and partners to plan, migrate, modernize, and run their on-premises mainframe workloads to a managed development and execution environment on AWS. The service enables two proven and popular patterns—replatforming and automated refactoring—and has the goal of mitigating the risks and accelerating mainframe-to-cloud projects.

Organizations migrate and modernize mainframes to AWS for agility, cost reduction, and for mitigating mainframe risks. Learn about the key agility attributes needed by mainframe workloads, and explore the evolutionary approach to quickly and incrementally modernize from a mainframe monolith to agile AWS services. In this post, we focus on application and infrastructure agility to change functionality, configuration, or resources quickly and inexpensively.

We are excited to highlight 99 AWS Partners that received new designations in March for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

Recognizing the complexity of a mainframe migration, AWS customers seek proven methodologies, tools, and best practices to empower successful migrations. The AWS Partner Network (APN) plays a critical role in these efforts by providing validated technology products and services for customers’ mainframe migrations. We are excited to announce the launch of the AWS Mainframe Modernization Competency which gives customers confidence in choosing AWS Partner to team up with.

Recognizing the complexity of a mainframe migration, AWS customers seek proven methodologies, tools, and best practices to empower successful migrations. The APN plays a critical role in these efforts by providing proven technology products and services for customers’ mainframe migrations. We are excited to pre-announce the launch of the AWS Mainframe Modernization Competency which gives customers confidence in choosing right right AWS Partners to team up with.

Mainframes typically host core business processes and data. To stay competitive, customers have to quickly transform their mainframe workloads for agility while preserving resiliency and reducing costs. There is a challenge in defining the agility attributes and prioritizing the corresponding transformations for maximum business value in the least amount of time. In this post, dive deep in the practical agility attributes needed by mainframe workloads, and how to accelerate the transformation towards such agility with AWS.

Mainframe workloads are often tightly-coupled legacy monoliths with millions of lines of code, and customers want to modernize them for business agility. Manually rewriting a legacy application for a cloud-native architecture requires lots of re-engineering. See how AWS Blu Age transformed a typical mainframe CICS application to AWS containers and AWS Lambda functions. You’ll also learn how to increase mainframe workload agility with refactoring to serverless and containers.

While modernizing customer mainframes, the team at AWS Blu Age discovered that Batch can be a complex aspect of a mainframe migration to AWS. It’s critical to design your AWS architecture to account for the key Batch stringent performance requirements such as intensive I/Os, large datasets, and short durations. Let’s explore how to migrate mainframe Batch to AWS microservices using AWS Blu Age automated transformation technology.