This IBM® Redbooks Solution Guide describes how to use the strategies and the capabilities of IBM PureApplication® System to provide system high availability (HA) and disaster recovery (DR).
The goal of any enterprise is to operate systems uninterrupted for a long time and to reconstruct a data center’s operations in the event of disaster.
This IBM® Redbooks® publication Solution Guide describes how to use the strategies and the capabilities of IBM PureApplication® System to provide system high availability (HA) and disaster recovery (DR). PureApplication System provides a high availability framework to eliminate single points of failure. PureApplication System also provides technologies to aid in designing disaster recovery scenarios. Figure 1 shows a simple disaster recovery strategy.
Figure 1 - Simple DR strategy
Did you know?
System administration teams need solid tools and processes to provide system HA and system DR. IBM PureApplication System provides the technology to designhigh availability solutions and disaster recovery scenarios.
Business value
PureApplication System provides a flexible platform for running a wide range of application workloads in a cloud infrastructure. Its design helps to eliminate single points of failure with the goal of allowing applications that are running in the rack to achieve high levels of availability. Businesses that strive for high levels of resiliency must consider how to run workloads across multiple systems and even across geographically distributed data centers. This strategy alleviates problems by resolving them proactively outside of any single piece of hardware, a local network, or power supply. Therefore, a failure of network or equipment does not result in a potentially lengthy outage for that service.
Solution overview
The HADR solutions provided by PureApplication System are described as HADR scenarios in Implementing High Availability and Disaster Recovery in IBM PureApplication Systems V2, SG24-8246. The HADR scenarios describe how to build HADR solutions using a combination of patterns and HADR capabilities (both hardware and software) built into the PureApplication System.
Solution architecture: PureApplication System hardware HA
PureApplication System’s hardware redundancy is designed for HA. Compute nodes, network controllers, management nodes, virtualization nodes, storage controllers, and storage are all redundant and contribute to a highly available environment (Figure 2).
Figure 2 - PureApplication System, HA through hardware redundancy (W2500-384)
The following list notes the component level details available on a single rack system:
Scenario | Description |
Cell in a single rack in the primary data center | Cell in the same rack with transaction log stored in GPFS or database and shared by multiple nodes |
Cell across two racks in the primary data center | Transaction logs stored in GPFS or database. Multirack deployment of single pattern across two racks |
Two identical cells across the primary data center and secondary data center | Active/Passive. Transaction logs stored in GPFS or database |
Scenario | Description |
DB2 HADR Active/Standby in single rack in the primary data center | Single DB2 HADR pattern deployed on a single rack |
DB2 HADR Active/Standby across two racks in the primary data center | Single DB2 HADR pattern deployed using multi-rack deployment |
DB2 HADR Active/Standby across two racks in the primary data center | DB2 HADR Active and Standby in two patterns |
DB2 HADR Active/Standby in primary data center and same Active/Passive DR set-up in secondary data center | Uses block storage replication |
Scenario | Description |
Two WebSphere MQ instances (primary and standby) with MIQM - in same rack | Same pattern, Active/Standby in primary data center |
Two WebSphere MQ instances (primary and standby) with MIQM - across two racks | Active/Standby in primary data center. Split pattern for MQ. |
Scenario | Description |
WebSphere Application Server cell and DB2 HADR in a single rack in the primary data center. | Transactions stored in GPFS |
WebSphere Application Server cell and DB2 HADR in single rack in the primary data center. | Transactions stored in database |
WebSphere Application Server Active/Active across two racks, split cell and DB2 HADR in two separate racks in the primary data center. | Single pattern using multi-rack deployment. Transactions stored in database |
WebSphere Application Server Active/Active across two racks, split cell and DB2 HADR in two separate racks in the primary data center. | Split pattern across two racks. Transactions stored in database |
WebSphere Application Server Active/Passive, stray node in the primary data center . | Transactions stored in database |
WebSphere Application Server Active/Passive, two identical cells across primary data center. DB2 environment replicated on disaster recovery site. | Transactions stored in GPFS |
WebSphere Application Server Active/Passive, two identical cells across primary data center. DB2 environment replicated on disaster recovery site. | Transactions stored in database |
Model | Compute | Memory per core | Storage |
W2500- 32m | 32 cores | 16 GB | 2.4 TB SSD 24 TB HDD |
W2500- 64m | 64 cores | 16 GB | 2.4 TB SSD 24 TB HDD |
W2500- 96m | 96 cores | 16 GB | 2.4 TB SSD 24 TB HDD |
W2500- 128m | 128 cores | 16 GB | 2.4 TB SSD 24 TB HDD |
Model | Compute | Memory per core | Storage |
W2500- 32 | 32 cores | 32 GB | 6.4 TB 48 TB HDD |
W2500- 64 | 64 cores | 32 GB | 6.4 TB 48 TB HDD |
W2500- 96 | 96 cores | 32 GB | 6.4 TB 48 TB HDD |
W2500- 128 | 128 cores | 32 GB | 6.4 TB 48 TB HDD |
W2500- 160 | 160 cores | 32 GB | 6.4 TB 48 TB HDD |
Model | Compute | Memory per core | Storage |
W2500- 192 | 192 cores | 32 GB | 6.4 TB 48 TB HDD |
W2500- 224 | 224 cores | 32 GB | 6.4 TB 48 TB HDD |
W2500- 320 | 320 cores | 32 GB | 6.4 TB 48 TB HDD |
W2500- 384 | 384 cores | 32 GB | 6.4 TB 48 TB HDD |
Model | Compute | Memory per core | Storage |
W2700- 32m | 32 cores | 16 GB | 2.4 TB SSD 24 TB HDD |
W2700- 64m | 64 cores | 16 GB | 2.4 TB SSD 24 TB HDD |
W2700- 96m | 96 cores | 16 GB | 2.4 TB SSD 24 TB HDD |
W2700- 128m | 128 cores | 16 GB | 2.4 TB SSD 24 TB HDD |
Model | Compute | Memory per core | Storage |
W2700- 32 | 32 cores | 32 GB | 6.4 TB 48 TB HDD |
W2700- 64 | 64 cores | 32 GB | 6.4 TB 48 TB HDD |
W2700- 96 | 96 cores | 32 GB | 6.4 TB 48 TB HDD |
W2700- 128 | 128 cores | 32 GB | 6.4 TB 48 TB HDD |
W2700- 160 | 160 cores | 32 GB | 6.4 TB 48 TB HDD |
W2700- 192 | 192 cores | 32 GB | 6.4 TB 48 TB HDD |
W2700- 224 | 224 cores | 32 GB | 6.4 TB 48 TB HDD |
W2700- 320 | 320 cores | 32 GB | 6.4 TB 48 TB HDD |
W2700- 384 | 384 cores | 32 GB | 6.4 TB 48 TB HDD |
Program name | PID number | Charge unit description |
PureApplication System W2500 | 5725-Q93 | Per appliance installation |
PureApplication System W2700 | 5725-Q94 | Per appliance installation |
IBM Business Process Manager Pattern V8.5 | 5725-L40 | PVU based |
IBM WebSphere MQ Hypervisor Edition V7.5.0.x for Red Hat Enterprise Linux Server | 5725-C79 | PVU based |
IBM WebSphere MQ Hypervisor Edition V7.5.0.x for AIX® | 5725-F22 | PVU based |
The material included in this document is in DRAFT form and is provided 'as is' without warranty of any kind. IBM is not responsible for the accuracy or completeness of the material, and may update the document at any time. The final, published document may not include any, or all, of the material included herein. Client assumes all risks associated with Client's use of this document.