• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
  • Articles
  • News
  • Events
  • Advertize
  • Jobs
  • Courses
  • Contact
  • (0)
  • LoginRegister
    • Facebook
    • LinkedIn
    • RSS
      Articles
      News
      Events
      Job Posts
    • Twitter
Datafloq

Datafloq

Data and Technology Insights

  • Categories
    • Big Data
    • Blockchain
    • Cloud
    • Internet Of Things
    • Metaverse
    • Robotics
    • Cybersecurity
    • Startups
    • Strategy
    • Technical
  • Big Data
  • Blockchain
  • Cloud
  • Metaverse
  • Internet Of Things
  • Robotics
  • Cybersecurity
  • Startups
  • Strategy
  • Technical

What is Mainframe Modernization?

Edward Huskin / 4 min read.
September 1, 2020
Datafloq AI Score
×

Datafloq AI Score: 84

Datafloq enables anyone to contribute articles, but we value high-quality content. This means that we do not accept SEO link building content, spammy articles, clickbait, articles written by bots and especially not misinformation. Therefore, we have developed an AI, built using multiple built open-source and proprietary tools to instantly define whether an article is written by a human or a bot and determine the level of bias, objectivity, whether it is fact-based or not, sentiment and overall quality.

Articles published on Datafloq need to have a minimum AI score of 60% and we provide this graph to give more detailed information on how we rate this article. Please note that this is a work in progress and if you have any suggestions, feel free to contact us.

floq.to/J4uZv

Technically speaking, mainframe modernization simply refers to the process of improving an enterprise’s existing mainframe footprint in several aspects, including interface, code, performance, maintainability, and cost. Some would say that modernizing the mainframe means replacement of these legacy systems with commodity servers, which is a bold claim since it calls for a drastic change.

In mainframe modernization, one should look at the bigger picture because, ultimately, the goal is to achieve a connected ecosystem. A business should determine where and how resources should be allocated to create a computing framework that integrates implementations across the organization. Essentially, modernizing a mainframe system involves the adoption of applicable modern philosophies and methodologies using existing applications or installing modern hardware or software. The most cost-effective approach is to take a look at what’s currently working and build upon that; mainframe modernization should build upon existing COBOL systems and incrementally improve or add capabilities. Replacement should be a last resort so as to preserve the functionality of existing platforms.

Modernization of COBOL systems can be achieved by integrating them with more modern cloud and mobile applications. Although referred to by many as a legacy system, COBOL applications are still used to power 65% of enterprise software and 70% of business transaction processing globally. Advances in technology have also made it simple to make enterprise COBOL work with Java, XML, and JSON. This provides the necessary data and host-based processing mobile applications require.

The integration of multi-platform DevOps is another approach to the modernization of the mainframe. To ensure that the mainframe remains a vital element in the development and deployment of modern applications, DevOps and agile should be combined with a unified development environment. This proves that, even today, it’s important to have an IT system and workforce that’s mainframe-ready. IT professionals should continue learning about new technologies and the changes that need to be implemented across the board to adopt them.

Practically speaking, the modernization of mainframe systems should address three main areas that provide an inherent challenge to the process of modernization in general.

  • Cost
    Cost is one of the major challenges with mainframe modernization because mainframe systems aren’t cheap. This is why mainframes are reserved for business-critical workloads. If more than half of your revenue is dependent on processes run by your mainframe, then cost is a non-issue. Running the same thing on commodity servers would require a multitude of servers, which would cost a lot more because you’re not only looking at the system itself but the facilities and manpower needed to maintain it.

  • Skills
    As it stands, fewer people remain that are proficient and have experience in maintaining a mainframe system. People in the IT industry have been clamoring for an education approach that will provide IT professionals with technical skill across the board, ensuring coverage of all systems, including the mainframe.


    Interested in what the future will bring? Download our 2023 Technology Trends eBook for free.

    Consent

  • Interface
    Migration to new technologies would lead to new, more modern interfaces that must be learned, and such a paradigm shift can be jarring to any business. Although there are risks in doing so, there’s no reason why mainframes shouldn’t be using modern interfaces. The key is in finding the right way of doing it for your business.

The Benefits of Mainframe Modernization

The mainframe is a robust system that has lived on through decades, and it can live for decades into the future if businesses take the time to modernize the system. Business applications change according to how the business develops, and having a modernization strategy ensures that your mainframe system keeps in tune with what your current business needs are. The main mainframe modernization benefits are the following:

  • Modernization of legacy stacks
    COBOL was a common programming language back in the heyday of the mainframe. As such, the majority of applications vital to government and the finance industry were written in COBOL code. The challenge today is that, due to rising workloads, the technical limitations of these legacy applications have become more apparent and made maintenance a challenge. Modernization uses the power of modern API’s to integrate these applications into modern distributed ones.

  • Reduced MIPS costs
    Mainframes aren’t cheap to maintain, and this cost only grows as workloads increase. One of the main drivers of this increase in cost is the licensing required by specific hardware and software. Mainframe modernization allows you to offload transactions into a distributed data fabric, effectively addressing this issue with MIPS costs.

  • Cloud integration
    Maintaining a mainframe doesn’t prevent a business from using a cloud-based platform. Modernizing a mainframe system makes it possible to leverage the benefits of the cloud using a mainframe architecture since a mainframe has characteristics similar to those of the cloud, including massive storage and the capability for workload virtualization.

Leaving a Legacy With the Mainframe

Modernization is a phase that all businesses must go through if they are to stay afloat in this ever-evolving business landscape ruled by technology. However, as with any core change, the prudent approach is to tackle modernization in phases so it’s not too bitter a pill to swallow. Focus on what the business needs now and determine the tools required to meet those needs. Technologies, especially new ones, should be assessed on a case-by-case basis and not be taken as the best by virtue of its newness. Your modernization process should be placed according to how your business develops so that your computing platform works for you and not the other way around.

Categories: Big Data
Tags: 360-degrees, DevOps, hardware, server

About Edward Huskin

Edward Huskin is a freelance data and analytics consultant. He specializes in finding the best technical solution for companies to manage their data and produce meaningful insights.

Primary Sidebar

E-mail Newsletter

Sign up to receive email updates daily and to hear what's going on with us!

Publish
AN Article
Submit
a press release
List
AN Event
Create
A Job Post
Host your website with Managed WordPress for $1.00/mo with GoDaddy!

Related Articles

The Advantages of IT Staff Augmentation Over Traditional Hiring

May 4, 2023 By Mukesh Ram

The State of Digital Asset Management in 2023

May 3, 2023 By pimcoremkt

Test Data Management – Implementation Challenges and Tools Available

May 1, 2023 By yash.mehta262

Related Jobs

  • Software Engineer | South Yorkshire, GB - February 07, 2023
  • Software Engineer with C# .net Investment House | London, GB - February 07, 2023
  • Senior Java Developer | London, GB - February 07, 2023
  • Software Engineer – Growing Digital Media Company | London, GB - February 07, 2023
  • LBG Returners – Senior Data Analyst | Chester Moor, GB - February 07, 2023
More Jobs

Tags

AI Amazon analysis analytics app Apple application Artificial Intelligence BI Big Data business CEO China Cloud Companies company content costs court crypto customers Data digital future Google+ government industry information machine learning market mobile Musk news Other public research revenue sales security share social social media strategy technology twitter

Related Events

  • 6th Middle East Banking AI & Analytics Summit 2023 | Riyadh, Saudi Arabia - May 10, 2023
  • Data Science Salon NYC: AI & Machine Learning in Finance & Technology | The Theater Center - December 7, 2022
  • Big Data LDN 2023 | Olympia London - September 20, 2023
More events

Related Online Courses

  • Oracle Cloud Data Management Foundations Workshop
  • Data Science at Scale
  • Statistics with Python
More courses

Footer


Datafloq is the one-stop source for big data, blockchain and artificial intelligence. We offer information, insights and opportunities to drive innovation with emerging technologies.

  • Facebook
  • LinkedIn
  • RSS
  • Twitter

Recent

  • 5 Reasons Why Modern Data Integration Gives You a Competitive Advantage
  • 5 Most Common Database Structures for Small Businesses
  • 6 Ways to Reduce IT Costs Through Observability
  • How is Big Data Analytics Used in Business? These 5 Use Cases Share Valuable Insights
  • How Realistic Are Self-Driving Cars?

Search

Tags

AI Amazon analysis analytics app Apple application Artificial Intelligence BI Big Data business CEO China Cloud Companies company content costs court crypto customers Data digital future Google+ government industry information machine learning market mobile Musk news Other public research revenue sales security share social social media strategy technology twitter

Copyright © 2023 Datafloq
HTML Sitemap| Privacy| Terms| Cookies

  • Facebook
  • Twitter
  • LinkedIn
  • WhatsApp

In order to optimize the website and to continuously improve Datafloq, we use cookies. For more information click here.

Dear visitor,
Thank you for visiting Datafloq. If you find our content interesting, please subscribe to our weekly newsletter:

Did you know that you can publish job posts for free on Datafloq? You can start immediately and find the best candidates for free! Click here to get started.

Not Now Subscribe

Thanks for visiting Datafloq
If you enjoyed our content on emerging technologies, why not subscribe to our weekly newsletter to receive the latest news straight into your mailbox?

Subscribe

No thanks

Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.

Necessary Cookies

Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.

If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.

Marketing cookies

This website uses Google Analytics to collect anonymous information such as the number of visitors to the site, and the most popular pages.

Keeping this cookie enabled helps us to improve our website.

Please enable Strictly Necessary Cookies first so that we can save your preferences!