Business Continuity Solution With Red Hat Openshift And Ibm Spectrum Virtualize For Public Cloud On Microsoft Azure

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Business Continuity Solution With Red Hat Openshift And Ibm Spectrum Virtualize For Public Cloud On Microsoft Azure

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Author : IBM
language : en
Publisher: IBM Redbooks
Release Date : 2022-05-17

Business Continuity Solution With Red Hat Openshift And Ibm Spectrum Virtualize For Public Cloud On Microsoft Azure written by IBM and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-17 with Computers categories.

The focus of this Blueprint is to facilitate the deployment of the hybrid cloud business continuity solution with Red Hat OpenShift Container Platform (RHOCP) on Microsoft Azure Cloud and Container Storage Interface (CSI) driver plug-in for IBM Block Storage and IBM® Spectrum Virtualize for Public Cloud (SV4PC) on Microsoft Azure Cloud. This solution is designed to protect the data by using IBM Storage-based Global Mirror Replication, and the "volume replication" feature from IBM block storage CSI driver for IBM Storage. For demonstration purposes, MySQL containerized database is installed on the persistent volume (PV) that is created on the on-premises IBM FlashSystem® Storage. This storage is connected to the RHOCP cluster in the vSphere environment. CSI driver plug-in for IBM Block Storage (FS9100) and SV4PC on Azure is installed on Red Hat OCP on Azure and On-premises Red Hat OCP. The volume or logical unit number (LUN) from on-premises IBM FlashSystem Storage (FS9100) is replicated to IBM SV4PC on Microsoft Azure Cloud by using the IBM storage global mirror replication feature and the IBM CSI volume replication feature. The information in this document is distributed on an as-is basis without any warranty that is either expressed or implied. Support assistance for the use of this material is limited to situations where IBM Spectrum® Virtualize for Public Cloud is supported and entitled, and where the issues are specific to this Blueprint implementation.

Hybrid Multicloud Business Continuity For Openshift Workloads With Ibm Spectrum Virtualize In Aws

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Author : IBM
language : en
Publisher: IBM Redbooks
Release Date : 2020-10-20

Hybrid Multicloud Business Continuity For Openshift Workloads With Ibm Spectrum Virtualize In Aws written by IBM and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-20 with Computers categories.

This publication is intended to facilitate the deployment of the hybrid cloud business continuity solution with Red Hat OpenShift Container Platform and IBM® block CSI (Container Storage Interface) driver plug-in for IBM Spectrum® Virtualize on Public Cloud AWS (Amazon Web Services). This solution is designed to protect the data by using IBM Storage-based Global Mirror replication. For demonstration purposes, MySQL containerized database is installed on the on-premises IBM FlashSystem® that is connected to the Red Hat OpenShift Container Platform (OCP) cluster in the vSphere environment through the IBM block CSI driver. The volume (LUN) on IBM FlashSystem storage system is replicated by using global mirror on IBM Spectrum Virtualize for Public Cloud on AWS. Red Hat OpenShift cluster (OCP cluster) and the IBM block CSI driver plug-in are installed on AWS by using Installer-Provisioned Infrastructure (IPI) methodology. The information in this document is distributed on an as-is basis without any warranty that is either expressed or implied. Support assistance for the use of this material is limited to situations where IBM Spectrum Virtualize for Public Cloud is supported and entitled, and where the issues are specific to this Blueprint implementation.

Ibm Flashsystem 5200 Product Guide

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Author : Aldo Araujo Fonseca
language : en
Publisher: IBM Redbooks
Release Date : 2022-07-22

Ibm Flashsystem 5200 Product Guide written by Aldo Araujo Fonseca and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-22 with Computers categories.

This IBM® Redbooks® Product Guide publication describes the IBM FlashSystem® 5200 solution, which is a next-generation IBM FlashSystem control enclosure. It is an NVMe end-to-end platform that is targeted at the entry and midrange market and delivers the full capabilities of IBM FlashCore® technology. It also provides a rich set of software-defined storage (SDS) features that are delivered by IBM Spectrum® Virtualize, including the following features: Data reduction and deduplication Dynamic tiering Thin provisioning Snapshots Cloning Replication Data copy services Transparent Cloud Tiering IBM HyperSwap® including 3-site replication for high availability (HA) Scale-out and scale-up configurations further enhance capacity and throughput for better availability. The IBM FlashSystem 5200 is a high-performance storage solution that is based on a revolutionary 1U form factor. It consists of 12 NVMe Flash Devices in a 1U storage enclosure drawer with full redundant canister components and no single point of failure. It is designed for businesses of all sizes, including small, remote, branch offices and regional clients. It is a smarter, self-optimizing solution that requires less management, which enables organizations to overcome their storage challenges. Flash has come of age and price point reductions mean that lower parts of the storage market are seeing the value of moving over to flash and NVMe--based solutions. The IBM FlashSystem 5200 advances this transition by providing incredibly dense tiers of flash in a more affordable package. With the benefit of IBM FlashCore Module compression and new QLC flash-based technology becoming available, a compelling argument exists to move away from Nearline SAS storage and on to NVMe. With the release of IBM FlashSystem 5200 Software V8.4, extra functions and features are available, including support for new Distributed RAID1 (DRAID1) features, GUI enhancements, Redirect-on-write for Data Reduction Pool (DRP) snapshots, and 3-site replication capabilities. This book is aimed at pre-sales and post-sales technical support and marketing and storage administrators.

Multicloud Solution For Business Continuity Using Ibm Spectrum Virtualize For Public Cloud On Aws Version 1 Release 1

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Author : IBM
language : en
Publisher: IBM Redbooks
Release Date : 2020-02-21

Multicloud Solution For Business Continuity Using Ibm Spectrum Virtualize For Public Cloud On Aws Version 1 Release 1 written by IBM and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-21 with Computers categories.

This document is intended to facilitate the deployment of the Multicloud Solution for Business Continuity by using IBM Spectrum Virtualize for Public Cloud on AWS. To complete the tasks it describes, you must understand the IBM FlashSystem 9100, IBM Spectrum Virtualize for Public Cloud on AWS Cloud. The information in this document is distributed on an "as is" basis without any warranty that is either expressed or implied. Support assistance for the use of this material is limited to situations where IBM Storwize® or IBM FlashSystem storage devices are supported and entitled and where the issues are specific to a blueprint implementation.

Ibm Cloud Pak For Data

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Author : Hemanth Manda
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-11-24

Ibm Cloud Pak For Data written by Hemanth Manda and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-24 with Computers categories.

Build end-to-end AI solutions with IBM Cloud Pak for Data to operationalize AI on a secure platform based on cloud-native reliability, cost-effective multitenancy, and efficient resource management Key FeaturesExplore data virtualization by accessing data in real time without moving itUnify the data and AI experience with the integrated end-to-end platformExplore the AI life cycle and learn to build, experiment, and operationalize trusted AI at scaleBook Description Cloud Pak for Data is IBM's modern data and AI platform that includes strategic offerings from its data and AI portfolio delivered in a cloud-native fashion with the flexibility of deployment on any cloud. The platform offers a unique approach to addressing modern challenges with an integrated mix of proprietary, open-source, and third-party services. You'll begin by getting to grips with key concepts in modern data management and artificial intelligence (AI), reviewing real-life use cases, and developing an appreciation of the AI Ladder principle. Once you've gotten to grips with the basics, you will explore how Cloud Pak for Data helps in the elegant implementation of the AI Ladder practice to collect, organize, analyze, and infuse data and trustworthy AI across your business. As you advance, you'll discover the capabilities of the platform and extension services, including how they are packaged and priced. With the help of examples present throughout the book, you will gain a deep understanding of the platform, from its rich capabilities and technical architecture to its ecosystem and key go-to-market aspects. By the end of this IBM book, you'll be able to apply IBM Cloud Pak for Data's prescriptive practices and leverage its capabilities to build a trusted data foundation and accelerate AI adoption in your enterprise. What you will learnUnderstand the importance of digital transformations and the role of data and AI platformsGet to grips with data architecture and its relevance in driving AI adoption using IBM's AI LadderUnderstand Cloud Pak for Data, its value proposition, capabilities, and unique differentiatorsDelve into the pricing, packaging, key use cases, and competitors of Cloud Pak for DataUse the Cloud Pak for Data ecosystem with premium IBM and third-party servicesDiscover IBM's vibrant ecosystem of proprietary, open-source, and third-party offerings from over 35 ISVsWho this book is for This book is for data scientists, data stewards, developers, and data-focused business executives interested in learning about IBM's Cloud Pak for Data. Knowledge of technical concepts related to data science and familiarity with data analytics and AI initiatives at various levels of maturity are required to make the most of this book.

Business Continuity Orchestration For Ibm Flashsystem Hybrid Cloud With Red Hat Ansible V1r2

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Author : IBM Storage
language : en
Publisher: IBM Redbooks
Release Date : 2021-06-04

Business Continuity Orchestration For Ibm Flashsystem Hybrid Cloud With Red Hat Ansible V1r2 written by IBM Storage and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-04 with Computers categories.

This document is intended to facilitate the deployment of Red Hat Ansible for IBM® FlashSystem. The document showcases the automation and orchestration of storage provisioning and copy services, such as Global Mirror, Global Mirror with change volumes, Metro Mirror for IBM FlashSystem® in hybrid cloud environments. The Ansible-based automation and orchestration for managing high availability environments by using HyperSwap for IBM FlashSystem storage also is described. To complete the tasks that are described, you must understand IBM FlashSystem and Red Hat Ansible. The information in this document is distributed on an "as is" basis without any warranty that is either expressed or implied. Support assistance for the use of this material is limited to situations where IBM FlashSystem storage devices are supported and entitled and where the issues are specific to a blueprint implementation.

Middleware Architecture

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Author : Mehdia Ajana El Khaddar
language : en
Publisher: BoD – Books on Demand
Release Date : 2021-12-22

Middleware Architecture written by Mehdia Ajana El Khaddar and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-22 with Computers categories.

Middleware refers to the intermediate software layer that bridges the gap between the heterogeneous hardware platforms and the backend applications requirements. It allows providing common services and programming abstractions and hiding the low-level management of the connected hardware. With the recent advances in distributed systems and enabling technologies, such as RFID, WSNs, IoT, IoE, cloud computing, context-aware pervasive computing, ubiquitous computing, etc., middleware design and development has become a necessity, taking increasing importance. This book provides a comprehensive overview of the different design patterns and reference models used in middleware architectures in general, followed by a description of specific middleware architectures dedicated to the use of the different emerging technologies, such as IoT, cloud computing, IEEE 802.11, etc. This book intends therefore to bring together in one place up-to-date contributions and remaining challenges in this fast-moving research area for the benefit of middleware systems’ designers and applications developers.

Accelerating Modernization With Agile Integration

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Author : Adeline SE Chun
language : en
Publisher: IBM Redbooks
Release Date : 2020-07-01

Accelerating Modernization With Agile Integration written by Adeline SE Chun and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-01 with Computers categories.

The organization pursuing digital transformation must embrace new ways to use and deploy integration technologies, so they can move quickly in a manner appropriate to the goals of multicloud, decentralization, and microservices. The integration layer must transform to allow organizations to move boldly in building new customer experiences, rather than forcing models for architecture and development that pull away from maximizing the organization's productivity. Many organizations have started embracing agile application techniques, such as microservice architecture, and are now seeing the benefits of that shift. This approach complements and accelerates an enterprise's API strategy. Businesses should also seek to use this approach to modernize their existing integration and messaging infrastructure to achieve more effective ways to manage and operate their integration services in their private or public cloud. This IBM® Redbooks® publication explores the merits of what we refer to as agile integration; a container-based, decentralized, and microservice-aligned approach for integration solutions that meets the demands of agility, scalability, and resilience required by digital transformation. It also discusses how the IBM Cloud Pak for Integration marks a significant leap forward in integration technology by embracing both a cloud-native approach and container technology to achieve the goals of agile integration. The target audiences for this book are cloud integration architects, IT specialists, and application developers.

Multicloud Solution For Business Continuity Using Ibm Spectrum Virtualize For Public Cloud On Aws

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Author :
language : en
Publisher:
Release Date : 2019

Multicloud Solution For Business Continuity Using Ibm Spectrum Virtualize For Public Cloud On Aws written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Cloud computing categories.

Cataloging Unstructured Data In Ibm Watson Knowledge Catalog With Ibm Spectrum Discover

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Author : Joseph Dain
language : en
Publisher: IBM Redbooks
Release Date : 2020-08-11

Cataloging Unstructured Data In Ibm Watson Knowledge Catalog With Ibm Spectrum Discover written by Joseph Dain and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-11 with Computers categories.

This IBM® Redpaper publication explains how IBM Spectrum® Discover integrates with the IBM Watson® Knowledge Catalog (WKC) component of IBM Cloud® Pak for Data (IBM CP4D) to make the enriched catalog content in IBM Spectrum Discover along with the associated data available in WKC and IBM CP4D. From an end-to-end IBM solution point of view, IBM CP4D and WKC provide state-of-the-art data governance, collaboration, and artificial intelligence (AI) and analytics tools, and IBM Spectrum Discover complements these features by adding support for unstructured data on large-scale file and object storage systems on premises and in the cloud. Many organizations face challenges to manage unstructured data. Some challenges that companies face include: Pinpointing and activating relevant data for large-scale analytics, machine learning (ML) and deep learning (DL) workloads. Lacking the fine-grained visibility that is needed to map data to business priorities. Removing redundant, obsolete, and trivial (ROT) data and identifying data that can be moved to a lower-cost storage tier. Identifying and classifying sensitive data as it relates to various compliance mandates, such as the General Data Privacy Regulation (GDPR), Payment Card Industry Data Security Standards (PCI-DSS), and the Health Information Portability and Accountability Act (HIPAA). This paper describes how IBM Spectrum Discover provides seamless integration of data in IBM Storage with IBM Watson Knowledge Catalog (WKC). Features include: Event-based cataloging and tagging of unstructured data across the enterprise. Automatically inspecting and classifying over 1000 unstructured data types, including genomics and imaging specific file formats. Automatically registering assets with WKC based on IBM Spectrum Discover search and filter criteria, and by using assets in IBM CP4D. Enforcing data governance policies in WKC in IBM CP4D based on insights from IBM Spectrum Discover, and using assets in IBM CP4D. Several in-depth use cases are used that show examples of healthcare, life sciences, and financial services. IBM Spectrum Discover integration with WKC enables storage administrators, data stewards, and data scientists to efficiently manage, classify, and gain insights from massive amounts of data. The integration improves storage economics, helps mitigate risk, and accelerates large-scale analytics to create competitive advantage and speed critical research.