Enterprise Applications

Porting an Enterprise App to System Z – My Experience Pt.3

Part 3 of 4: The Bad

As I’ve explained in Part 1 Basics and Part 2 Good, I did a proof of concept port of an Enterprise Application from Amazon Web Services on x86 to Linux on System z in 2017. The good news was I got to the point I needed to, the bad news was it was more than difficult to get there.

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Porting an Enterprise App to System Z – My Experience Pt.2

Part 2 of 4: The Good

I provided a simplistic overview of what I intended to port to Linux for System z in Part 1. The original application was built for x86 systems. As such, all binaries are built to run on x86 systems. The Docker containers that these applications run in are x86 binaries as well. So my job was to create the Linux for System z (aka S390X) binaries, with as little change as possible.

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Mainframe optimization on the high seas

Being in the mainframe business for about 10 years now, I hear interesting anecdotes from time to time, often from the most unlikely sources. I may have taken some liberty with the title, but it’s a true story, and it relates well to what I see in the mainframe business all the time.

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7 Ways to Control the Mighty Majestic Mainframe

Today’s mainframe systems run the world’s top industries’ mission-critical workloads. This includes large financial institutions like banks, insurance companies, healthcare organizations, utilities, government, military, and a multitude of other public and private enterprises.

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software urbanization

Software Urbanism: A challenging but highly rewarding strategy

Information Technology (IT) is rather young in human history. If you compare this sector with industry, IT is just at the beginning of its development. To illustrate this infancy, let’s consider the evolution of IT jobs. With the multiplication of tasks and jobs left to IT, teams grew in number but also in complexity. New fields of expertise emerged to cover these growing needs. Nowadays, a Fortune 500 company has hundreds of software products running on its infrastructure. More and more data are collected, processed, stored, combined, analyzed, distributed… The amount has grown by a factor of 10 in only 6 years.

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