Red Hat Openshift Container Platform For Ibm Zcx
Download Red Hat Openshift Container Platform For Ibm Zcx PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Red Hat Openshift Container Platform For Ibm Zcx book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Red Hat OpenShift Container Platform for IBM zCX
Application modernization is essential for continuous improvements to your business value. Modernizing your applications includes improvements to your software architecture, application infrastructure, development techniques, and business strategies. All of which allows you to gain increased business value from existing application code. IBM® z/OS® Container Extensions (IBM zCX) is a part of the IBM z/OS operating system. It makes it possible to run Linux on IBM Z® applications that are packaged as Docker container images on z/OS. Application developers can develop, and data centers can operate, popular open source packages, Linux applications, IBM software, and third-party software together with z/OS applications and data. This IBM Redbooks® publication presents the capabilities of IBM zCX along with several use cases that demonstrate Red Hat OpenShift Container Platform for IBM zCX and the application modernization benefits your business can realize.
Keeping Up With Security and Compliance on IBM Z
Non-compliance can lead to increasing costs. Regulatory violations involving data protection and privacy can have severe and unintended consequences. In addition, companies must keep pace with changes that arise from numerous legislative and regulatory bodies. Global organizations have the added liability of dealing with national and international-specific regulations. Proving that you are compliant entails compiling and organizing data from multiple sources to satisfy auditor's requests. Preparing for compliance audits can be a major time drain, and maintaining, updating, and adding new processes for compliance can be a costly effort. How do you keep constant changes to regulations and your security posture in check? It starts with establishing a baseline: knowing and understanding your current security posture, comparing it with IBM Z® security capabilities, and knowing the latest standards and regulations that are relevant to your organization. IBM Z Security and Compliance Center can help take the complexity out of your compliance workflow and the ambiguity out of audits while optimizing your audit process to reduce time and effort. This IBM Redbooks® publication helps you make the best use of IBM Z Security and Compliance Center and aid in mapping all the necessary IBM Z security capabilities to meet compliance and improve your security posture. It also shows how to regularly collect and validate compliance data, and identify which data is essential for auditors. After reading this document, you will understand how your organization can use IBM Z Security and Compliance Center to enhance and simplify your security and compliance processes and postures for IBM z/OS® systems. This publication is for IT managers and architects, system and security administrators
Optimized Inferencing and Integration with AI on IBM zSystems: Introduction, Methodology, and Use Cases
In today's fast-paced, ever-growing digital world, you face various new and complex business problems. To help resolve these problems, enterprises are embedding artificial intelligence (AI) into their mission-critical business processes and applications to help improve operations, optimize performance, personalize the user experience, and differentiate themselves from the competition. Furthermore, the use of AI on the IBM® zSystems platform, where your mission-critical transactions, data, and applications are installed, is a key aspect of modernizing business-critical applications while maintaining strict service-level agreements (SLAs) and security requirements. This colocation of data and AI empowers your enterprise to optimally and easily deploy and infuse AI capabilities into your enterprise workloads with the most recent and relevant data available in real time, which enables a more transparent, accurate, and dependable AI experience. This IBM Redpaper publication introduces and explains AI technologies and hardware optimizations, and demonstrates how to leverage certain capabilities and components to enable AI solutions in business-critical use cases, such as fraud detection and credit risk scoring, on the platform. Real-time inferencing with AI models, a capability that is critical to certain industries and use cases, now can be implemented with optimized performance thanks to innovations like IBM zSystems Integrated Accelerator for AI embedded in the Telum chip within IBM z16TM. This publication describes and demonstrates the implementation and integration of the two end-to-end solutions (fraud detection and credit risk), from developing and training the AI models to deploying the models in an IBM z/OS® V2R5 environment on IBM z16 hardware, and integrating AI functions into an application, for example an IBM z/OS Customer Information Control System (IBM CICS®) application. We describe performance optimization recommendations and considerations when leveraging AI technology on the IBM zSystems platform, including optimizations for micro-batching in IBM Watson® Machine Learning for z/OS. The benefits that are derived from the solutions also are described in detail, including how the open-source AI framework portability of the IBM zSystems platform enables model development and training to be done anywhere, including on IBM zSystems, and enables easy integration to deploy on IBM zSystems for optimal inferencing. Thus, allowing enterprises to uncover insights at the transaction-level while taking advantage of the speed, depth, and securability of the platform. This publication is intended for technical specialists, site reliability engineers, architects, system programmers, and systems engineers. Technologies that are covered include TensorFlow Serving, WMLz, IBM Cloud Pak® for Data (CP4D), IBM z/OS Container Extensions (zCX), IBM CICS, Open Neural Network Exchange (ONNX), and IBM Deep Learning Compiler (zDLC).