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Table B-3 Recovery objective<br />
Type of outage Recovery time<br />
objective (downtime)<br />
Component failure (hardware, software,<br />
and network<br />
2 business hours 30 minutes<br />
Total outage is more than 1 day 48 hours 8 hours<br />
Recovery period<br />
objective (data at risk)<br />
Solution<br />
By applying Quick Sizer results and the sizing estimate from <strong>IBM</strong> Techline, we determined<br />
that we need a z196-702 with two central processors (CPs), one zIIP for the database server<br />
load, and 11 IFLs for the SAP NetWeaver AS load.<br />
Additional information: You can find the <strong>IBM</strong> Sizing and Planning Questionnaire for SAP<br />
Solutions at:<br />
http://www.ibm.com/support/techdocs/atsmastr.nsf/PubAllNum/PRS261<br />
For more information about using the SAP Quick Sizer, see “Questions for users of the<br />
SAP QuickSizer” at:<br />
http://www.ibm.com/support/techdocs/atsmastr.nsf/WebIndex/PRS2294<br />
To size the LPARs, give the production instances more memory than the minimum<br />
recommended by the Quick Sizer, because clients have experienced that memory proposed<br />
by Quick Sizer is conservative. However, development and QA instances can use the Quick<br />
Sizer recommendations.<br />
Because this system is new, we cannot estimate how much the processor is being used<br />
during production. Also the development systems might be more active during the SAP<br />
application customization and introduction phase. Therefore, we decided to share the<br />
processors between the production, development, and quality assurance instances for now.<br />
We might have to adjust the LPAR resources after the system workload settles, which is a<br />
good practice, because every client will have an individual SAP workload pattern. In<br />
particular, if SAP transactions or jobs were created or changed by LOB consultants, they<br />
often affect workload performance.<br />
For system recovery, we implement SCS in the z/OS LPAR to decouple it from the application<br />
server host. Also, this approach prepares the system if the client implements Parallel Sysplex<br />
data sharing and HA later. For data loss protection, use Metro Mirror to back up the DB2 log<br />
and data and to enable storage FlashCopy to use the DB2 BACKUP/RESTORE DATABASE utility,<br />
point-in-time recovery, and federated synchpointing of the applications.<br />
We designed four hosting LPARs: two for the database servers and two for the application<br />
servers. One pair of database servers and application servers is dedicated to production. The<br />
other pair hosts the development and QA instances. The database server partitions run each<br />
DB2 subsystem and one database instance per SAP application instance. Also one SCS<br />
instance is available per SAP database server instance in these LPARs. The application<br />
server LPARS are managed by z/VM as the host operating system. We have two application<br />
servers per production application, and one application per development and per QA<br />
application and instance. The exception is the Solution Manager, which has one application<br />
server central instance for production and one for QA and development, with no separate<br />
SCS servers and no separate QA or development instances. Also the SAProuter is available<br />
once per productions and QA or development.<br />
Appendix B. Planning, preparing, and implementing the SAP landscape 159