A scale up server increases its workload capacity by adding memory and processing power, e.g. building "up" vs. "scale out" or adding server units.
HPE's scale-up computing portfolio meets the requirements for high performance, availability, reliability, and disaster tolerance for data-intensive. The scale-up scaled workloads such as in-memory and structured databases, including HPE Integrity Superdome X with ProLiant DL580 Servers, ProLiant DL560 Servers, and BL660c Gen9 servers.
Definition
There are two fundamental approaches to addressing increasing workloads: "Scale Up" meets the challenge through a bigger, more powerful server with added memory and compute capacity. This vertical building "up" of the server contrasts with the “scale out” approach, which adds server units to the workload horizontally. A scale up server is one that is designed to enable the simple and cost-effective addition of system resources to itself, enabling the "scale up" approach to work.
When do we need the scale up server?
Scale up servers are valuable in a number of scenarios, including:
- When the workload itself is best performed on fewer machines, each with a high level of compute power
- When physical space and/or electrical power is limited and a small number of high-powered servers are more suitable than a large number of low-power ones
- When software licensing factors favour the use of fewer servers
- When the complexity of setting up a “scale out” collection of servers is not justified by the workload
Learn more about the Scale Out Servers
Except scale up servers, HPE also provide scale out servers.
Object-oriented and virtualized storage and horizontally scaled workloads such as Apache Hadoop require computing platforms with performance scalability, density optimization, storage simplicity, and configuration flexibility. HPE meets these requirements through a scale-out computing portfolio that includes HPE Apollo 2000 and 4000 systems, as well as HPE Landing Servers.