This blog is for Mainframe Modernization professionals to discuss and share perspectives, point of views and best practices around key trending topics. Discover the ART and science of mainframe modernization.

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Accelerate performance, Operational efficiency and Reduce run cost of core systems [Part 3/6]

I had discussed the three modernization strategies from Infosys in an earlier blog. If you remember, I'd stated that in order to address the challenges that come with modernization and provide a non-disruptive way to renew mainframe systems, we have a new ART (Accelerate, Renew and Transform) approach.

The ACCELERATE strategy focuses on improving the performance of batch and online mainframe core systems by reducing MIPS (Million Instructions per Second) consumption, improving the operational efficiency of these core systems using automation platforms; and for those systems that have been identified to have very high run cost (vis-à-vis business value delivered), migrate them to run on a scalable and cost efficient cloud based x86 platform.

The below diagram depicts the different 'Accelerate Solution' levers that could be applied for MIPS optimization, automation, migrating low value and low touch applications and processes out of Mainframe.

MFM_Blog 3of6_2.png

Levers that can be leveraged as part of the 'Accelerate' strategy

We have observed that most of the MIPS and performance optimization initiatives on Mainframe are focused only on what can be done within the constraints of the current application, platform and/or technologies that depend on the level of optimization already done, yielding minimal results. At times, it is important to look at it from an 'outside-in' perspective and see if these applications or workloads are best suited to continue to run on Mainframe or are they better suited to run on distributed platforms with minimal changes, or by re-architecting. Obviously, this has to be supplemented by a solid business case and minimal risk to make the chosen course viable.

When we recently analyzed the workloads for some of our large mainframe clients, we identified a set of processes which were of low business value resulting in high run cost. These jobs were of one of these types - ETL Jobs, Data/File Transmission Jobs, Reports, Data Archival, ODS and Data Sync Jobs. Most of these processes are batch processes and decoupled. Hence, these are best fit to be migrated to a cloud based data platform that can perform these tasks more efficiently, enabling new capabilities that are not easily possible on Mainframe.

Where are you seeing opportunities within your landscape to optimize?

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