Scale-up is Dead, Long Live Scale-out!

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The Challenge of User Demand

Keeping up with user demand is a significant challenge for IT departments. The traditional scale-up approach suffers from significant limitations and cost issues that prevent it from satisfying the ever-increasing workloads of a 24×7 online society.

Massively Parallel Processing

The use of massively parallel processing and scale-out architectures is the solution, since they can readily and non-disruptively apply additional compute resources to meet any demand, at a much lower cost, and with improved service availability.

Data Replication

The use of a data replication engine, such as HPE Shadowbase, to share and maintain consistent data between multiple systems enables scale-out application and workload distributions across multiple compute nodes, which provides the necessary scalability and availability to meet the highest levels of user demand now and into the future.


Scale-up is Dead, Long Live Scale-out!Adobe PDF icon