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Parallel Sysplex (US)
Coupling Facility options (US)
Parallel Sysplex availability checklist (US) [455KB]
Approaching continuous application availability
Since 1994, the zSeries sysplex architecture has helped provide rock-solid application availability. It allows clustered zSeries servers to provide resource sharing, workload balancing and data sharing capabilities for on demand data centers, allowing ultimate flexibility when supporting multiple applications.

While zSeries hardware, operating systems and middleware have long supported multiple applications on a single server, Parallel Sysplex (US) clustering allows multiple applications to communicate across servers-and it can even support one large application spanning multiple servers, resulting in optimal availability for that application.

With Parallel Sysplex clustering and its ability to support data sharing across servers, IT architects can design and develop applications that have one integrated view of a shared data store. This eliminates the need to partition databases, which in non-zSeries environments typically creates workload skews requiring lengthy and disruptive database repartitioning. This often means downtime for the application—as well as extra costs, lost revenue and missed opportunities for your business. Also, ensuring data integrity with non-zSeries partitioned databases often requires application-level locking, which in high-volume-transaction environments could lead to service-level agreements not being met.

Data sharing with Parallel Sysplex conveys the unique advantage of enabling non-disruptive database growth with automatic load rebalancing. zSeries shared database architectures also provide inherent locking services for the ultimate in data integrity.

Parallel Sysplex data sharing capabilities help to prevent obstacles to application availability caused by partitioned database architectures. Single-view database simplicity helps remove unnecessary complication in the IT infrastructure. A simpler IT infrastructure in turn reduces the likelihood of unexpected outages and the impact of planned outages.


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