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Mainframe Modernization with AWS (Blu Age)

Score7.4 out of 10

3 Reviews and Ratings

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What is Mainframe Modernization with AWS (Blu Age)?

Mainframe Modernization with AWS, based on the services of Blu Age, a company acquired by AWS, is a service to migrate and modernize mainframe infrastructure and applications. AWS boasts proven methodology, automated tools, and certified partners to replatform, refactor, or augment mainframe workloads to drive innovation, agility, and cost savings. Users of the service can move critical mainframe ecosystem to a cloud environment with global reach. AWS boasts an extensive catalog of open languages, databases, analytics, and cloud native services to modernize applications, deliver new business insights, and attract new skilled talent to deliver real business transformation and competitive differentiation.

Categories & Use Cases

Reviews

What users are saying about Mainframe Modernization with AWS (Blu Age).
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Nothing better than Blu Age in this era.

Incentivized
Chetan SoniView profile
Delivery module lead in Information Technology at Mphasis (10,001+ employees employees)

Use Cases and Deployment Scope

We used the Blu Age services to migrate our legacy COBOL applications to cloud using AWS.
It creates modern applications from legacy applications. It transforms the code and the database into latest modern framework.
There seems to be lot of potential in this requirement as many organisations wants to leave legacy applications and dependencies and transform the existing applications into modern framework and interfaces where there will be enough resource talent.

Pros

  • Convert the application code into new programming language
  • Converts the legacy databases into modern one.
  • Automated the process of doing the complex migration
  • Budget friendly process
  • Deployment is done in quick manner using devops pipeline.
  • Transforms the entire application into user friendly interface

Cons

  • Would not recommend this for complex banking applications.
  • Banking applications and business logic is stringent. Not an easy job to perform without running the test cases for millions of functionality.
  • To get success in transforming the banking applications, Blu Age has to think differently. They need to automate test cases within the tool to know the success rates. Business logic or code might give other results after conversion. Need to look into this aspect too.

Most Important Features

  • Automated process of conversion
  • Low failure rate
  • Budget friendly
  • Can run the mainframe workloads in the cloud
  • Partnership with IBM for the flawless migration to AWS.

Return on Investment

  • It definitely saves a lot for the organizations which is paying huge margins to IBM in terms of total cost of ownership.
  • It transforms your application into latest tech where the resource supply is plenty. Resource is easy to find for the support and maintenance activity.
  • Business can run longer without losing the customers.

Alternatives Considered

Google Cloud AI

Other Software Used

HCL Sametime, Temenos Payments, VisionPlus