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Right this moment, we’re launching AWS Mainframe Modernization service that will help you modernize your mainframe functions and deploy them to AWS fully-managed runtime environments. This new service additionally gives instruments and sources that will help you plan and implement migration and modernization.
Since the introduction of System/360 on April 7 1964, mainframe computer systems have enabled many industries to rework themselves. The mainframe has revolutionized the way in which folks purchase issues, how folks guide and buy journey, and the way governments handle taxes or ship social providers. Two thirds of the Fortune 100 firms have their core companies situated on a mainframe. And in line with a 2018 estimate, $3 trillion ($3 x 10^12) in each day commerce flows by mainframes.
Mainframes are utilizing their very personal set of applied sciences: programming languages resembling COBOL, PL/1, and Pure, to call just a few, or databases and knowledge information resembling VSAM, DB2, IMS DB, or Adabas. In addition they run “utility servers” (or transaction managers as we name them) resembling CICS or IMS TM. Current IBM mainframes additionally run functions developed within the Java programming language deployed on WebSphere Utility Server.
Lots of our clients operating mainframes informed us they need to modernize their mainframe-based functions to make the most of the AWS cloud. They need to enhance their agility and their capability to innovate, achieve entry to a rising pool of skills with expertise operating workloads on AWS, and profit from the continuous AWS pattern of enhancing price/efficiency ratio.
Utility modernization is a journey composed of 4 phases:
- First, you assess the state of affairs. Are you able to migrate? You outline the enterprise case and educate the migration staff.
- Second, you mobilize. You kick off the undertaking, determine functions for a proof of idea, and refine your migration plan and enterprise instances.
- Third, you migrate and modernize. For every utility, you run in-depth discovery, resolve on the best utility structure and migration journey, replatform or refactor the code base, and check and deploy to manufacturing.
- Final, you function and optimize. You monitor deployed functions, handle sources, and be certain that safety and compliance are updated.
AWS Mainframe Modernization helps you throughout every section of your journey.
Assess and Mobilize
Through the evaluation and mobilization section, you may have entry to evaluation and growth instruments to find the scope of your utility portfolio and to rework supply code as wanted. Usually, the service helps you uncover the property of your mainframe functions and determine all the info and different dependencies. We offer you built-in growth environments the place you may adapt or refactor your supply code, relying on whether or not you might be replatforming or refactoring your functions.
Utility Automated Refactoring
You might select to make use of the automated refactoring sample, the place mainframe utility property are mechanically transformed into a contemporary language and ecosystem. With automated refactoring, AWS Mainframe Modernization makes use of Blu Age instruments to transform your COBOL, PL/1, or JCL code to Java providers and scripts. It generates trendy code, knowledge entry, and knowledge format by implementing patterns and guidelines to rework screens, listed information, and batch functions to a contemporary utility stack.
Utility Replatforming
You may additionally select to replatform your functions, that means transfer them to AWS with minimal adjustments to the supply code. When replatforming, the fully-managed runtime comes preinstalled with the Micro Focus mainframe-compatible parts, resembling transaction managers, knowledge mapping instruments, display screen and maps readers, and batch execution environments, permitting you to run your utility with minimal adjustments.
This weblog put up may also help you study extra about nuances between replatforming and refactoring.
DevOps For Your Mainframe Purposes
AWS Mainframe Modernization service gives you with AWS CloudFormation templates to simply create steady integration and steady deployment pipelines. It additionally deploys and configures monitoring providers to watch the managed runtime. This lets you preserve or proceed to evolve your functions as soon as migrated, utilizing finest practices from Agile and DevOps methodologies.
Managed Companies
AWS Mainframe Modernization takes care of the undifferentiated heavy lifting and gives you with absolutely managed runtime environments based mostly on 15 years of cloud structure finest practices when it comes to safety, excessive availability, scalability, system administration, and utilizing infrastructure as code. These are all necessary for the business-critical functions operating on mainframes.
The evaluation instruments, growth instruments, and the replatforming or refactoring runtimes come preinstalled and able to use. However there’s far more than preinstalled environments. The service deploys and manages the entire infrastructure for you. It deploys the required community, load balancer, and configure log assortment with Amazon CloudWatch, amongst others. It manages utility versioning, deployments, and excessive availability dependencies. This protects you days of designing, testing, automating, and deploying your personal infrastructure.
The absolutely managed runtime contains in depth automation and managed infrastructure sources you can function by way of the AWS console, the AWS Command Line Interface (CLI), and utility programming interfaces (APIs). This removes the burden and undifferentiated heavy lifting of managing a fancy infrastructure. It permits you to spend time and deal with innovating and constructing new capabilities.
Let’s Deploy an App
As standard, I like to indicate you the way it works. I’m utilizing a demo banking utility. The applying has been replatformed and is offered as two .zip information. The primary one incorporates the applying binaries, and the second the info information. I uploaded the content material of those zipped information to an Amazon Easy Storage Service (Amazon S3) bucket. As a part of the stipulations, I additionally created a PostgreSQL Aurora database, saved its username and password in AWS Secrets and techniques Supervisor, and I created an encryption key in AWS Key Administration Service (KMS).
Create an Surroundings
Let’s deploy and run the BankDemo pattern utility in an AWS Mainframe Modernization managed runtime atmosphere with the Micro Focus runtime engine. For brevity, I spotlight solely the primary steps. The full tutorial is offered as a part of the service documentation.
I open the AWS Administration Console and navigate to AWS Mainframe Modernization. I navigate to Environments and choose Create atmosphere.
I give the atmosphere a identify and choose Micro Focus runtime since we’re deploying a replatformed utility. Then I choose Subsequent.
Within the Specify Configurations part, I depart all of the default values: a Standalone runtime atmosphere, the M2.m5.massive EC2 occasion sort, and the default VPC and subnets. Then I choose Subsequent.
On the Connect Storage part, I mount an EFS endpoint as /m2/mount/demo. Then I choose Subsequent.
Within the Overview and create part, I assessment my configuration and choose Create atmosphere. After some time, the atmosphere standing switches to Obtainable.
Create an Utility
Now that I’ve an atmosphere, let’s deploy the pattern banking utility on it. I choose the Purposes part and choose Create utility.
I give my utility a reputation, and underneath Engine sort, I choose Micro Focus.
Within the Specify sources and configurations part, I enter a JSON definition of my utility. The JSON tells the runtime atmosphere the place my utility’s numerous information are situated and methods to entry Secrets and techniques Supervisor. You will discover a pattern JSON file in the tutorial part of the documentation.
Within the final part, I Overview and create the applying. I choose Create utility. After a second, the applying turns into accessible.
As soon as accessible, I deploy the applying to the atmosphere. I choose the AWSNewsBlog-SampleBanking app, then I choose the Actions dropdown menu, and I choose Deploy utility.
After some time, the applying standing adjustments to Prepared.
Import Information units
The final step earlier than beginning the applying is to import its knowledge units. Within the navigation pane, I choose Purposes, then select AWSNewsBlog-SampleBank. I then choose the Information units tab and choose Import. I’ll both specify the info set configuration values individually utilizing the console or present the placement of an S3 bucket that incorporates a knowledge set configuration JSON file.
I exploit the JSON file offered by the tutorial within the documentation. Earlier than importing the JSON file to S3, I substitute the $S3_DATASET_PREFIX variable with the precise worth of my S3 bucket and prefix. For this instance, I exploit awsnewsblog-samplebank/catalog.
After some time, the info set standing adjustments to Accomplished.
My utility and its knowledge set at the moment are deployed into the cloud.
Begin the Utility
The final step is to begin the applying. I navigate to the Purposes part. I then choose AWSNewsBlog-SampleBank. Within the Actions dropdown menu, I choose Begin utility. After a second, the applying standing adjustments to Working.
Entry the Utility
To entry the applying, I want a 3270 terminal emulator. Relying in your platform, a few choices can be found. I select to make use of a web-based TN3270 web-based shopper offered by Micro Focus and accessible on the AWS Market. I configure the terminal emulator to level it to the AWS Mainframe Modernization atmosphere endpoint, and I exploit port 6000.
As soon as the session begins, I obtain the CICS welcome immediate. I sort BANK and press ENTER to begin the app. I authenticate with person BA0001 and password A. The primary utility menu is displayed. I choose the primary possibility of the menu and press ENTER.
Congrats, your replatformed utility has been deployed within the cloud and is offered by a regular IBM 3270 terminal emulator.
Pricing and Availability
AWS Mainframe Modernization service is offered within the following AWS Areas: US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), Canada (Central), Europe (Frankfurt), Europe (Eire), and South America (São Paulo).
You solely pay for what you utilize. There are not any upfront prices. Third-party license prices are included within the hourly worth. Runtime environments for refactored functions, based mostly on Blu Age, begin at $2.50/hour. Runtime environments for replatformed functions, based mostly on Micro Focus, begin at $5.55/hour. This contains the software program licenses (Blu Age or Micro Focus). As standard, AWS Assist plans can be found. In addition they cowl Blu Age and Micro Focus software program.
Dedicated plans can be found for pricing reductions. The pricing particulars can be found on the service pricing web page.
And now, go construct 😉
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