Secure, robust and flexible staging and deployment ensures repeatable and automated deployments of change to production environments meeting compliance requirements and minimizing business risk during the software build development and release process. It links each stage of the application lifecycle and connects software teams through better collaboration and supporting enterprise-wide process standardization and maturity during the software development process. This information is available for immediate access in a variety of standard or customized forms to suit your specific needs. RefWiz is used for conversions, upgrades, audits, migrations, daily maintenance, documentation, mergers, operations management including failure analysis , disaster recovery, change scope analysis, and much more. Company: Ubiquity As data center complexity increases, it becomes increasingly difficult to manage change.

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An IBM mainframe Several manufacturers and their successors produced mainframe computers from the late s until the early 21st Century, with gradually decreasing numbers and a gradual transition to simulation on Intel chips rather than proprietary hardware. The latter architecture has continued to evolve into their current zSeries mainframes which, along with the then Burroughs and Sperry now Unisys MCP -based and OS mainframes, are among the few mainframe architectures still extant that can trace their roots to this early period.

IBM received the vast majority of mainframe revenue. During the same period, companies found that servers based on microcomputer designs could be deployed at a fraction of the acquisition price and offer local users much greater control over their own systems given the IT policies and practices at that time.

Terminals used for interacting with mainframe systems were gradually replaced by personal computers. Consequently, demand plummeted and new mainframe installations were restricted mainly to financial services and government. In the early s, there was a rough consensus among industry analysts that the mainframe was a dying market as mainframe platforms were increasingly replaced by personal computer networks. That trend started to turn around in the late s as corporations found new uses for their existing mainframes and as the price of data networking collapsed in most parts of the world, encouraging trends toward more centralized computing.

The growth of e-business also dramatically increased the number of back-end transactions processed by mainframe software as well as the size and throughput of databases. Batch processing, such as billing, became even more important and larger with the growth of e-business, and mainframes are particularly adept at large-scale batch computing.

Another factor currently increasing mainframe use is the development of the Linux operating system, which arrived on IBM mainframe systems in and is typically run in scores or up to c.

Linux allows users to take advantage of open source software combined with mainframe hardware RAS. Supercomputers are used for scientific and engineering problems high-performance computing which crunch numbers and data, [27] while mainframes focus on transaction processing. The differences are: Mainframes are built to be reliable for transaction processing measured by TPC -metrics; not used or helpful for most supercomputing applications as it is commonly understood in the business world: the commercial exchange of goods, services, or money.

Transaction processing is not exclusive to mainframes but is also used by microprocessor-based servers and online networks. Supercomputer performance is measured in floating point operations per second FLOPS [29] or in traversed edges per second or TEPS, [30] metrics that are not very meaningful for mainframe applications, while mainframes are sometimes measured in millions of instructions per second MIPS , although the definition depends on the instruction mix measured.

Floating point operations are mostly addition, subtraction, and multiplication of binary floating point in supercomputers; measured by FLOPS with enough digits of precision to model continuous phenomena such as weather prediction and nuclear simulations only recently standardized decimal floating point , not used in supercomputers, are appropriate for monetary values such as those useful for mainframe applications.

In terms of computational speed, supercomputers are more powerful. In , [34] an amalgamation of the different technologies and architectures for supercomputers and mainframes has led to the so-called gameframe.


Tech Tips: Using ChangeMan ZMF and REST APIs to streamline mainframe DevOps

Tegis Should the day come to phase out the mainframe, it would be necessary to replace the entire CD pipeline, a core piece of technical infrastructure. Checkout the programs from production environment 3. Revert code in seconds. For historical and cultural reasons, this concept can be difficult for mainframe specialists to accept. Even the simplest, smallest-scale automated test depends on the availability and proper configuration of a test environment, and these are typically managed by a different group than the development teams.

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Ensure Quality at Every Step of the Software Development Lifecycle

The data sets are usually a Partitioned Organization ones with a unique naming convention. All the changeman controlled data sets will have a high level qualifier as OIN1. The data set will be something like PICM. There is internal security within CM that allows specifically named components to belong only to one project.

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