IBM Power Systems Virtual Server Guide for IBM i IBM Power Systems Virtual Server Guide for IBM i

IBM Power Systems Virtual Server Guide for IBM i

Dino Quintero and Others

Publisher Description

This IBM® Redbooks® publication delivers a how-to usage content perspective that describes deployment, networking, and data management tasks on the IBM Power Systems Virtual Server by using sample scenarios.
During the content development, the team used available documentation, IBM Power Systems Virtual Server environment, and other software and hardware resources to document the following information:

IBM Power Systems Virtual Server networking and data management deployment scenarios
Migrations use case scenarios
Backups case scenarios
Disaster recovery case scenarios

This book addresses topics for IT architects, IT specialists, developers, sellers, and anyone who wants to implement and manage workloads in the IBM Power Systems Virtual Server. This publication also describes transferring the how-to-skills to the technical teams, and solution guidance to the sales team.
This book compliments the documentation that available at the IBM Documentation web page and aligns with the educational materials that are provided by IBM Garage for Systems Technical Education.

GENRE
Computing & Internet
RELEASED
2022
30 March
LANGUAGE
EN
English
LENGTH
280
Pages
PUBLISHER
IBM Redbooks
SELLER
International Business Machines Corp
SIZE
12.5
MB
SAP HANA Platform Migration SAP HANA Platform Migration
2020
IBM PowerAI: Deep Learning Unleashed on IBM Power Systems Servers IBM PowerAI: Deep Learning Unleashed on IBM Power Systems Servers
2019
IBM PowerHA SystemMirror V7.2.3 for IBM AIX and V7.22 for Linux IBM PowerHA SystemMirror V7.2.3 for IBM AIX and V7.22 for Linux
2020
Implementing High Availability and Disaster Recovery Solutions with SAP HANA on IBM Power Systems Implementing High Availability and Disaster Recovery Solutions with SAP HANA on IBM Power Systems
2018
IBM Data Engine for Hadoop and Spark IBM Data Engine for Hadoop and Spark
2016
IBM Spectrum Scale (formerly GPFS) IBM Spectrum Scale (formerly GPFS)
2017