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Description
The AWS Mainframe Modernization service offers a distinctive platform that facilitates the migration and modernization of your on-premises mainframe applications into a fully-managed, cloud-native runtime environment on AWS. By transitioning your applications to the cloud, you can eliminate the hardware and personnel expenses associated with conventional mainframes. This service enables you to systematically manage your entire migration process through a combination of infrastructure, software, and tools designed to refactor and convert legacy applications. It also allows for accelerated modernization and extensive regression testing in a scalable manner with its cloud-native capabilities. As a comprehensive suite of managed tools, AWS Mainframe Modernization provides the necessary infrastructure and software to modernize, migrate, test, and operate mainframe applications effectively. Embarking on your mainframe modernization journey becomes easier, leading to improved outcomes by leveraging specialized knowledge in the field. In addition, it simplifies project complexity and fosters better collaboration across different teams. Furthermore, you can automate the transformation of legacy programming language applications into agile Java-based services, utilizing AWS Blu Age and contemporary web frameworks, ensuring your applications are not only modernized but also optimized for the future. This service positions your organization to remain competitive and responsive in an ever-evolving technological landscape.
Description
Conventional techniques for integrating mainframe data, such as ETL, data warehouses, and connector development, are increasingly inadequate in terms of speed, accuracy, and efficiency in today’s business landscape. As the amount of data generated and stored on mainframes continues to surge, these outdated methods fall further behind. Data virtualization emerges as the solution to bridge this growing divide, automating the accessibility of mainframe data for developers and applications alike. This approach allows organizations to discover and map their data just once, after which it can be easily virtualized and reused across various platforms. Ultimately, this capability enables your data to align with your business goals and aspirations. By leveraging data virtualization on z/OS, organizations can simplify the complexities associated with mainframe resources. Moreover, data virtualization facilitates the integration of data from numerous disparate sources into a cohesive logical repository, significantly enhancing the ability to connect mainframe information with distributed applications. This method also allows for the enrichment of mainframe data by incorporating insights from location, social media, and other external datasets, promoting a more comprehensive understanding of business dynamics.
API Access
Has API
API Access
Has API
Pricing Details
$0.31 per hour
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/mainframe-modernization/
Vendor Details
Company Name
Rocket
Founded
1990
Country
United States
Website
www.rocketsoftware.com/product-categories/data-virtualization
