IBM Geographically Dispersed Resiliency for IBM Power SystemsThis IBM® Redbooks® publication introduces and provides a broad understanding of the new IBM Geographically Dispersed Resiliency for IBM Power SystemsTM solution. The IBM Geographically Dispersed Resiliency for Power Systems solution is a set of software components that together provide a disaster recovery (DR) mechanism for virtual machines (VMs) running on an IBM POWER7® processor-based server or later. This document describes various components, subsystems, and tasks that are associated with the IBM Geographically Dispersed Resiliency for Power Systems solution. This book is targeted at technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) that are responsible for providing high availability (HA) and DR solutions and support on IBM Power Systems servers. Since the released of the first IBM Geographically Dispersed Resiliency for Power Systems V1.1.0, a new SP1 has been released which delivers the following capabilities and support changes to the offering. Note: This is a replacement offering for the Geographically Dispersed Resiliency (5799-DRP) PRPQ. Implementation services for Geographically Dispersed Resiliency are strongly recommended. Contact GDR@us.ibm.com for further information on the services available. Geographically Dispersed Resiliency for Power Systems V1.1.0 SP1 offers support for: IBM i as a guest operating system, adding to the current support for IBM AIX and Linux Geographically Dispersed Resiliency for Power Systems V1.1.0 SP1 includes new capabilities to help you achieve your disaster recovery objectives: Support for both synchronous and asynchronous replication of data through the IBM SAN Volume Controller Note: At the time this publication was written, the residency team developed the content utilizing IBM Geographically Dispersed Resiliency for Power Systems V1.1.0. For more information, refer to the IBM Geographically Dispersed Resiliency for Power Systems website at the following link: |



