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Generative AI has introduced many new potentialities to organizations. It has outfitted them with new skills to retire technical debt, modernize legacy programs, and construct agile infrastructure to assist unlock the worth that’s trapped of their inside knowledge. Nevertheless, many enterprises nonetheless rely closely on legacy IT infrastructure, significantly mainframes and VMware-based programs. These platforms have been the spine of essential operations for many years, however they hinder organizations’ capability to innovate, scale successfully, and cut back technical debt in an period the place cloud-first methods dominate. The necessity to modernize these workloads is obvious, however the journey has historically been complicated and dangerous.
The complexity spans a number of dimensions. Financially, organizations face mounting licensing prices and costly migration tasks. Technically, they need to untangle legacy dependencies whereas assembly compliance necessities. Organizationally, they need to handle the transition of groups who’ve constructed careers round legacy programs and navigate undocumented institutional information.
AWS Rework instantly addresses these challenges with purpose-built agentic AI that accelerates and de-risks your legacy modernization. It automates the evaluation, planning, and transformation of each mainframe and VMware workloads into cloud based mostly architectures, streamlining your complete course of. By clever insights, automated code transformation, and human-in-the-loop workflows, organizations can now deal with even probably the most difficult modernization tasks with higher confidence and effectivity.
Mainframe workload migration
AWS Rework for mainframe is the primary agentic AI service for modernizing mainframe workloads at scale. The specialised mainframe agent accelerates mainframe modernization by automating complicated, resource-intensive duties throughout each section of modernization — from preliminary evaluation to remaining deployment. It streamlines the migration of legacy functions constructed on IBM z/OS, together with COBOL, CICS, DB2, and VSAM, to fashionable cloud environments–chopping modernization timelines from years to months.
Let’s have a look at just a few examples of how AWS Rework may also help you thru totally different points of the migration course of.
Code evaluation – AWS Rework supplies complete insights into your codebase, robotically analyzing mainframe codebases, creating detailed dependency graphs, measuring code complexity, and figuring out element relationships
Documentation – AWS Rework for mainframe creates complete technical and useful documentation of mainframe functions, preserving essential information about options, program logic, and knowledge flows. You’ll be able to work together with the generated documentation by means of an AI-powered chat interface to find and retrieve info rapidly.
Enterprise rule logic extraction – AWS Rework extracts and presents complicated logic in plain language so you’ll be able to achieve visibility into enterprise processes embedded inside legacy functions. This permits each enterprise and technical stakeholders to realize a higher understanding of software performance.
Code decomposition – AWS Rework provides refined code decomposition instruments, together with interactive dependency graphs and area separation capabilities, enabling customers to visualise and modify relationships between parts whereas figuring out key enterprise capabilities. The answer additionally streamlines migration planning by means of an interactive wave sequence planner that considers consumer preferences to generate optimized migration methods.
Modernization Wave planning – With its specialised agent, AWS Rework for mainframe creates prioritized modernization wave sequences based mostly on code and knowledge dependencies, code quantity, and enterprise priorities. It allows modernization groups to make data-driven, custom-made migration plans that align to their particular organizational wants.
Code refactoring – AWS Rework can refactor hundreds of thousands of traces of mainframe code in minutes, changing COBOL, VSAM, and DB2 programs into fashionable Java Spring Boot functions whereas sustaining useful equivalence and remodeling CICS transactions into internet providers and JCL batch processes into Groovy scripts. The answer supplies high-quality output by means of configurable settings and bundled runtime capabilities, producing Java code that emphasizes readability, maintainability, and technical excellence.
Deployments – AWS Rework supplies customizable deployment templates that streamline the deployment course of by means of user-defined inputs. For added effectivity, the answer bundles the chosen runtime model with the migrated software, enabling seamless deployment as a whole package deal.
By integrating clever documentation evaluation, enterprise logic extraction, and human-in-the-loop collaboration capabilities, AWS Rework helps organizations speed up their mainframe transformation whereas lowering threat and sustaining enterprise continuity.
VMware modernization
With fast modifications in VMware licensing and help mannequin, organizations are more and more exploring alternate options regardless of the difficulties related to migrating and modernizing VMware workloads. That is aggravated by the truth that the buildup of technical debt sometimes creates complicated, poorly documented environments managed by a number of groups, resulting in vendor lock-in and collaboration challenges that hinder migration efforts additional.
AWS Rework is the primary agentic AI service for VMware modernization of its form that lets you overcome these difficulties. It could possibly offset threat and speed up the modernization of VMware workloads by automating software discovery, dependency mapping, migration planning, community conversion, and EC2 occasion optimization, lowering handbook effort and accelerating cloud adoption.
The method is organized into 4 phases: stock discovery, wave planning, community conversion, and server migration. It makes use of agentic AI capabilities to investigate and map complicated VMware environments, changing community configurations into AWS built-in constructs and lets you orchestrate dependency-aware migration waves for seamless cutovers. As well as, it additionally supplies a collaborative internet interface that retains AWS groups, companions, and clients aligned all through the modernization journey.
Let’s take a fast tour to see how this works.
Organising
Earlier than you can begin utilizing the service, you should first allow it by navigating to the AWS Rework console. AWS Rework requires AWS IAM Identification Middle (IdC) to handle customers and setup applicable permissions. For those who don’t but have IdC arrange it should ask you to configure it first and return to the AWS Rework console later to proceed the method.
With IdC accessible, you’ll be able to then proceed to picking the encryption settings. AWS Rework offers you the choice to make use of a default AWS managed key or you need to use your personal customized keys by means of AWS Key Administration Service (AWS KMS).
After finishing this step, AWS Rework will likely be enabled. You’ll be able to handle admin entry to the console by navigating to Customers and utilizing the search field to seek out them. You could create customers or teams in IdC first in the event that they don’t exist already. The service console will assist admins provision customers who will get entry to the net app. Every provisioned consumer receives an e mail with a hyperlink to set password and get their personalised URL for the webapp.
You work together with AWS Rework by means of a devoted internet expertise. To get the url, navigate to Settings the place you’ll be able to examine your configurations and duplicate the hyperlinks to the AWS Rework internet expertise the place you and your groups can begin utilizing the service.
Discovery
AWS Rework can uncover your VMware surroundings both robotically by means of AWS Utility Discovery Service collectors or you’ll be able to present your personal knowledge by importing present RVTools export information.
To get began, select the Create or choose connectors activity and supply the account IDs for a number of AWS accounts that will likely be used for discovery. It will generate hyperlinks you can comply with to authorize every account for utilization inside AWS Rework. You’ll be able to then transfer on to the Carry out discovery activity, the place you’ll be able to select to put in AWS Utility Discovery Service collectors or add your personal information similar to exports from RVTools.
Provisioning
The steps for the provisioning section are just like those described earlier for discovery. You join goal AWS accounts by coming into their account IDs and validating the authorization requests which can then allow the following steps such because the Generate VPC configuration step. Right here, you’ll be able to import your RVTools information or NSX exports from Import/Export from NSX, if relevant, and allow AWS Rework to grasp your networking necessities.
You must then proceed working by means of the job plan till you attain the purpose the place it’s able to deploy your Amazon Digital Personal Cloud (Amazon VPC). All of the infrastructure as code (IaC) code is saved in Amazon Easy Storage Service (Amazon S3) buckets within the goal AWS account.
Evaluation the proposed modifications and, in case you’re completely happy, begin the deployment technique of the AWS assets to the goal accounts.
Deployment
AWS Rework requires you to arrange AWS Utility Migration Service (MGN) within the goal AWS accounts to automate the migration course of. Select the Provoke VM migration activity and use the hyperlink to navigate to the service console, then comply with the directions to configure it.
After organising service permissions, you’ll proceed to the implementation section of the waves created by AWS Rework and begin the migration course of. For every wave, you’ll first be requested to make varied decisions similar to setting the sizing desire and tenancy for the Amazon Elastic Compute Cloud (Amazon EC2) situations. Affirm your alternatives and proceed following the directions given by AWS Rework till you attain the Deploy replication brokers stage, the place you can begin the migration for that wave.
After you begin the waves migration course of, you’ll be able to swap to the dashboard at any time to examine on progress.
With its agentic AI capabilities, AWS Rework provides a strong answer for accelerating and de-risking mainframe and VMware modernization workloads. By automating complicated evaluation and transformation processes, AWS Rework reduces the time related to legacy system migration whereas minimizing the potential for errors and enterprise disruption enabling extra agile, environment friendly, and future-ready IT environments inside your group.
Issues to know
Availability – AWS Rework for mainframe is on the market in US East (N. Virginia) and Europe (Frankfurt) Areas. AWS Rework for VMware provides totally different availability choices for knowledge assortment and migrations. Please check with the AWS Rework for VMware FAQ for extra particulars.
Pricing – Presently, we provide our core options—together with evaluation and transformation—for gratis to AWS clients.
Listed below are just a few hyperlinks for additional studying.
Dive deeper into mainframe modernization and be taught extra about about AWS Rework for mainframe.
Discover extra about VMware modernization and easy methods to get began together with your VMware migration journey.
Try this interactive demo of AWS Rework for mainframe and this interactive demo of AWS Rework for VMware.
— Matheus Guimaraes | @codingmatheus
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