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Generative AI has introduced many new potentialities to organizations. It has outfitted them with new talents to retire technical debt, modernize legacy methods, and construct agile infrastructure to assist unlock the worth that’s trapped of their inner information. Nevertheless, many enterprises nonetheless rely closely on legacy IT infrastructure, notably mainframes and VMware-based methods. These platforms have been the spine of important operations for many years, however they hinder organizations’ capacity 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 evident, however the journey has historically been advanced and dangerous.
The complexity spans a number of dimensions. Financially, organizations face mounting licensing prices and costly migration initiatives. Technically, they have to untangle legacy dependencies whereas assembly compliance necessities. Organizationally, they have to handle the transition of groups who’ve constructed careers round legacy methods and navigate undocumented institutional information.
AWS Remodel 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 the whole course of. Via clever insights, automated code transformation, and human-in-the-loop workflows, organizations can now deal with even probably the most difficult modernization initiatives with higher confidence and effectivity.
Mainframe workload migration
AWS Remodel for mainframe is the primary agentic AI service for modernizing mainframe workloads at scale. The specialised mainframe agent accelerates mainframe modernization by automating advanced, resource-intensive duties throughout each part of modernization — from preliminary evaluation to ultimate deployment. It streamlines the migration of legacy purposes constructed on IBM z/OS Db2, together with COBOL, CICS, DB2, and VSAM, to fashionable cloud environments–slicing modernization timelines from years to months.
Let’s have a look at a couple of examples of how AWS Remodel may also help you thru completely different features of the migration course of.
Code evaluation – AWS Remodel gives complete insights into your codebase, mechanically analyzing mainframe codebases, creating detailed dependency graphs, measuring code complexity, and figuring out part relationships
Documentation – AWS Remodel for mainframe creates complete technical and useful documentation of mainframe purposes, preserving important information about options, program logic, and information flows. You’ll be able to work together with the generated documentation by an AI-powered chat interface to find and retrieve info shortly.
Enterprise rule extraction – AWS Remodel extracts and presents advanced logic in plain language so you possibly can acquire visibility into enterprise processes embedded inside legacy purposes. This permits each enterprise and technical stakeholders to realize a higher understanding of software performance.
Code decomposition – AWS Remodel presents 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 features. The answer additionally streamlines migration planning by an interactive wave sequence planner that considers consumer preferences to generate optimized migration methods.
Modernization Wave Planning – With its specialised agent, AWS Remodel for mainframe creates prioritized modernization wave sequences based mostly on code and information dependencies, code quantity, and enterprise priorities. It permits modernization groups to make data-driven, custom-made migration plans that align to their particular organizational wants.
Code refactoring – AWS Remodel can refactor hundreds of thousands of traces of mainframe code in minutes, changing COBOL, VSAM, and DB2 methods into fashionable Java Spring Boot purposes whereas sustaining useful equivalence and remodeling CICS transactions into internet companies and JCL batch processes into Groovy scripts. The answer gives high-quality output by configurable settings and bundled runtime capabilities, producing Java code that emphasizes readability, maintainability, and technical excellence.
Deployments – AWS Remodel gives customizable deployment templates that streamline the deployment course of by user-defined inputs. For added effectivity, the answer bundles the chosen runtime model with the migrated software, enabling seamless deployment as an entire bundle.
By integrating clever documentation evaluation, enterprise guidelines extraction, and human-in-the-loop collaboration capabilities, AWS Remodel helps organizations speed up their mainframe transformation whereas lowering danger and sustaining enterprise continuity.
VMware modernization
With fast adjustments in VMware licensing and assist mannequin, organizations are more and more exploring 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 advanced, poorly documented environments managed by a number of groups, resulting in vendor lock-in and collaboration challenges that hinder migration efforts additional.
AWS Remodel is the primary agentic AI service for VMware modernization of its form that lets you overcome these difficulties. It might offset danger 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 advanced 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 gives 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.
Establishing
Earlier than you can begin utilizing the service, it’s essential to first allow it by navigating to the AWS Remodel console. AWS Remodel requires AWS IAM Identification Heart (IdC) to handle customers and setup acceptable permissions. If you happen to don’t but have IdC arrange it would ask you to configure it first and return to the AWS Remodel console later to proceed the method.
With IdC obtainable, you possibly can then proceed to picking the encryption settings. AWS Remodel offers you the choice to make use of a default AWS managed key or you should utilize your individual customized keys by AWS Key Administration Service (AWS KMS).
After finishing this step, AWS Remodel 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 search out them. You should 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 online 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 Remodel by a devoted internet expertise. To get the url, navigate to Settings the place you possibly can test your configurations and duplicate the hyperlinks to the AWS Remodel internet expertise the place you and your groups can begin utilizing the service.
Discovery
AWS Remodel can uncover your VMware atmosphere both mechanically by AWS Utility Discovery Service collectors or you possibly can present your individual information by importing present RVTools export information.
To get began, select the Create or choose connectors job and supply the account IDs for a number of AWS accounts that will likely be used for discovery. It will generate hyperlinks that you could comply with to authorize every account for utilization inside AWS Remodel. You’ll be able to then transfer on to the Carry out discovery job, the place you possibly can select to put in AWS Utility Discovery Service collectors or add your individual information resembling exports from RVTools.
Provisioning
The steps for the provisioning part 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 possibly can import your RVTools information or NSX exports from Import/Export from NSX, if relevant, and allow AWS Remodel to know your networking necessities.
You need to then proceed working by 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.
Assessment the proposed adjustments and, if you happen to’re completely satisfied, begin the deployment strategy of the AWS sources to the goal accounts.
Deployment
AWS Remodel 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 job and use the hyperlink to navigate to the service console, then comply with the directions to configure it.
After establishing service permissions, you’ll proceed to the implementation part of the waves created by AWS Remodel and begin the migration course of. For every wave, you’ll first be requested to make varied decisions resembling setting the sizing desire and tenancy for the Amazon Elastic Compute Cloud (Amazon EC2) cases. Affirm your picks and proceed following the directions given by AWS Remodel 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 possibly can change to the dashboard at any time to test on progress.
With its agentic AI capabilities, AWS Remodel presents a strong resolution for accelerating and de-risking mainframe and VMware modernization workloads. By automating advanced evaluation and transformation processes, AWS Remodel 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 Remodel for mainframe is out there in US East (N. Virginia) and Europe (Frankfurt) Areas. AWS Remodel for VMware presents completely different availability choices for information assortment and migrations. Please discuss with the AWS Remodel for VMware FAQ for extra particulars.
Pricing – At the moment, we provide our core options—together with evaluation and transformation—for gratis to AWS clients.
Listed below are a couple of hyperlinks for additional studying.
Dive deeper into mainframe modernization and study extra about about AWS Remodel for mainframe.
Discover extra about VMware modernization and the best way to get began along with your VMware migration journey.
Take a look at this interactive demo of AWS Remodel for mainframe and this interactive demo of AWS Remodel for VMware.
— Matheus Guimaraes | @codingmatheus
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