Category: Data

This post is the first in a three-part series on DevOps on mainframe. Separate articles on transitioning mainframe to DevOps practice and on DevOps toolchain on mainframe will follow.

As a matter of fact, it is not simply standing, but constantly evolving — it kept and improved all the features like performance, stability, reliability and security, that have placed it at the very top of the tech world, while it also constantly adds new ones by adapting the existing features to fit the specific market demands.

Breaking the mainframe as a silo platform is necessary to speed up the delivery of enterprise solutions by orchestrated code promotion and the delivery of data from the mainframe to a heterogeneous enterprise environment.

Forming a single modular operation team that could manage the DevOPS pipeline in an enterprise environment, including previously isolated mainframe with a set of new DevOPS tools, eliminates the need for special mainframe operation teams, opening the platform to new talented staff and reducing operating costs of platform management.

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