IBM z Systems: The Mainframe Comes Back With a Vengeance

IBM z Systems: The Mainframe Comes Back With a Vengeance

I’m at IBM Edge this week and in an IBM z Systems presentation. This is a bit of a “Back To The Future” segment for me because z Systems is the latest implementation of the IBM Mainframe which I very first learned to program on. If we went back to one thousand nine hundred eighty four when I entered the tech market, that decade the common belief was that the mainframe was dead as an architecture. But at the heart of the mainframe was the idea that computational power was more efficient if centralized, and that a system optimized on I/O could better treat a massive number of clients than individual remote systems. While originally individual servers better segmented workloads; thanks to virtualization and the idea of “the cloud” once again the concept of the mainframe is stylish, albeit as a sort of super-server at scale.

But, recently, blockchain has turned the mainframe from being competitive to becoming cutting edge—and rather than pursuing industry standard servers, abruptly it is leading them.

Let’s talk IBM z Systems this week.

One of the fresh components enabling z Systems to function in the current world is Ez-Source which is an IBM acquisition. This implement provides for the centralized management of a multiplicity of software platforms and applications visually. This instrument helps firms to simplify their code base, identify and eliminate dead code, and to analyze the code so that it can be optimized against the platform.

This permits you to leverage the hardware and software assets in the system and expose them to developers in a managed style. This takes core mainframe applications and permits them to become exposed as a cloud service to clients and mobile devices. This is mostly for mainframe legacy applications carrying over legacy applications to fresh platforms.

There is a lot of stigma connected to the mainframe being hard to develop for and even stiffer to switch and manage. IBM demonstrated a bank application that was rapid to set up, focused on providing a lot of deep customer interaction, and connected a broad multiplicity of data and existing back end applications in a style that was seamless to the user, a fictional bank customer, very rapidly and in line with other modern platforms. While the user interface was rough—suggesting IBM could have spent more time on making it pretty—the level of abstracted complexity was compelling and showcased that a mainframe was competitive, in terms of user practice and time to market, with current generation products and likely far lighter to implement when being tied to existing legacy systems.

IBM then moved to analytics and collective statistics showcasing the vast majority of companies are aggressively using analytics to manage their advertising spend particularly on the web. IBM argued that the massive amount of data needed to do this analysis in a timely manner, and the need to connect various data sources in order to get accurate analysis both uniquely tied to z Systems’ unique technology advantages. These analytics also apply to analyzing the system and optimizing it for the related fountains. This not only helps assure that sophisticated analytics are done timely and entirely but that the resources used can be optimized, reducing the underlying costs. Customer demonstrations revolved around Apache Spark which was represented as the Java of data analysis.

The demonstration was on a fictional bank wanting to reduce churn and showcasing the capability of a mainframe solution to better chart and identify churn risk—the customers that intend to leave the bank—and estimate the related revenue loss. This would permit the bank to resource and prioritize remedial deeds toward those customers that represented the greatest risk, better protecting their customer base and assuring their revenue stream.

IBM has been a massive supporter of Linux and its support for Linux on the mainframe has enabled mainframe users to aggressively deploy current generation applications. Supporting a multiplicity of Linux distributions, hypervisors, languages, runtimes, management platforms, databases, and analytics platforms this has been one of the big drivers for z Systems sales in latest years. This coupled with IBM’s community efforts permits this platform—once thought to be obsolete—to remain enormously competitive, bridging legacy workloads and current workloads and creating the ideal solution for an enlargening number of customers who have found that the cloud, and a system optimized on I/O go together very nicely, very nicely indeed.

Wrapping Up: Blockchain

It amazes me how often the technology industry calls a technology dead only to find that it not only isn’t dead, but those old ideas have current relevance. The mainframe, now z Systems, is a ideal example of this. It went into decline because it’s I/O advantage didn’t help much in a world that required applications run on dedicated hardware, but with the emergence of hypervisors and the cloud concept all of a sudden I/O is significant and much of what I’ve talked about above speaks to why the mainframe is competitive again.

However, with the emergence of blockchain in the financial community as a way to better assure transactions and massively reduce fraud, the mainframe actually has a fat potential competitive advantage over separate servers. Blockchain improves financial contracting document flow massively as a process and z Systems presently has a sixty percent spectacle advantage over industry standard servers and is more secure with blockchain.

All of a sudden, mainframes are not only not obsolete, they are cutting edge, go figure. Yep the mainframe is back, with a vengeance.

About Author

As President and Principal Analyst of the Enderle Group, Rob provides regional and global companies with guidance in how to create credible dialogue with the market, target customer needs, create fresh business opportunities, anticipate technology switches, select vendors and products, and practice zero dollar marketing. For over twenty years Rob has worked for and with companies like Microsoft, HP, IBM, Dell, Toshiba, Gateway, Sony, USAA, Texas Instruments, AMD, Intel, Credit Suisse Very first Boston, ROLM, and Siemens.

IBM z Systems: The Mainframe Comes Back With a Vengeance

IBM z Systems: The Mainframe Comes Back With a Vengeance

I’m at IBM Edge this week and in an IBM z Systems presentation. This is a bit of a “Back To The Future” segment for me because z Systems is the latest implementation of the IBM Mainframe which I very first learned to program on. If we went back to one thousand nine hundred eighty four when I entered the tech market, that decade the common belief was that the mainframe was dead as an architecture. But at the heart of the mainframe was the idea that computational power was more efficient if centralized, and that a system optimized on I/O could better treat a massive number of clients than individual remote systems. While originally individual servers better segmented workloads; thanks to virtualization and the idea of “the cloud” once again the concept of the mainframe is elegant, albeit as a sort of super-server at scale.

But, recently, blockchain has turned the mainframe from being competitive to becoming cutting edge—and rather than pursuing industry standard servers, all of a sudden it is leading them.

Let’s talk IBM z Systems this week.

One of the fresh components enabling z Systems to function in the current world is Ez-Source which is an IBM acquisition. This device provides for the centralized management of a multiplicity of software platforms and applications visually. This implement helps firms to simplify their code base, identify and eliminate dead code, and to analyze the code so that it can be optimized against the platform.

This permits you to leverage the hardware and software assets in the system and expose them to developers in a managed style. This takes core mainframe applications and permits them to become exposed as a cloud service to clients and mobile devices. This is mostly for mainframe legacy applications carrying over legacy applications to fresh platforms.

There is a lot of stigma connected to the mainframe being hard to develop for and even tighter to switch and manage. IBM demonstrated a bank application that was swift to set up, focused on providing a lot of deep customer interaction, and connected a broad diversity of data and existing back end applications in a style that was seamless to the user, a fictional bank customer, very rapidly and in line with other modern platforms. While the user interface was rough—suggesting IBM could have spent more time on making it pretty—the level of abstracted complexity was compelling and showcased that a mainframe was competitive, in terms of user practice and time to market, with current generation products and likely far lighter to implement when being tied to existing legacy systems.

IBM then moved to analytics and collective statistics showcasing the vast majority of companies are aggressively using analytics to manage their advertising spend particularly on the web. IBM argued that the massive amount of data needed to do this analysis in a timely manner, and the need to connect various data sources in order to get accurate analysis both uniquely tied to z Systems’ unique technology advantages. These analytics also apply to analyzing the system and optimizing it for the related geysers. This not only helps assure that sophisticated analytics are done timely and totally but that the resources used can be optimized, reducing the underlying costs. Customer demonstrations revolved around Apache Spark which was represented as the Java of data analysis.

The demonstration was on a fictional bank wanting to reduce churn and showcasing the capability of a mainframe solution to better chart and identify churn risk—the customers that intend to leave the bank—and estimate the related revenue loss. This would permit the bank to resource and prioritize remedial deeds toward those customers that represented the greatest risk, better protecting their customer base and assuring their revenue stream.

IBM has been a massive supporter of Linux and its support for Linux on the mainframe has enabled mainframe users to aggressively deploy current generation applications. Supporting a multiplicity of Linux distributions, hypervisors, languages, runtimes, management platforms, databases, and analytics platforms this has been one of the big drivers for z Systems sales in latest years. This coupled with IBM’s community efforts permits this platform—once thought to be obsolete—to remain utterly competitive, bridging legacy workloads and current workloads and creating the ideal solution for an enlargening number of customers who have found that the cloud, and a system optimized on I/O go together very nicely, very nicely indeed.

Wrapping Up: Blockchain

It amazes me how often the technology industry calls a technology dead only to find that it not only isn’t dead, but those old ideas have current relevance. The mainframe, now z Systems, is a flawless example of this. It went into decline because it’s I/O advantage didn’t help much in a world that required applications run on dedicated hardware, but with the emergence of hypervisors and the cloud concept abruptly I/O is significant and much of what I’ve talked about above speaks to why the mainframe is competitive again.

However, with the emergence of blockchain in the financial community as a way to better assure transactions and massively reduce fraud, the mainframe actually has a phat potential competitive advantage over separate servers. Blockchain improves financial contracting document flow massively as a process and z Systems presently has a sixty percent spectacle advantage over industry standard servers and is more secure with blockchain.

All of a sudden, mainframes are not only not obsolete, they are cutting edge, go figure. Yep the mainframe is back, with a vengeance.

About Author

As President and Principal Analyst of the Enderle Group, Rob provides regional and global companies with guidance in how to create credible dialogue with the market, target customer needs, create fresh business opportunities, anticipate technology switches, select vendors and products, and practice zero dollar marketing. For over twenty years Rob has worked for and with companies like Microsoft, HP, IBM, Dell, Toshiba, Gateway, Sony, USAA, Texas Instruments, AMD, Intel, Credit Suisse Very first Boston, ROLM, and Siemens.

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