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  2. Scalability - Wikipedia

    en.wikipedia.org/wiki/Scalability

    Scalability is the property of a system to handle a growing amount of work. One definition for software systems specifies that this may be done by adding resources to the system. [ 1 ] In an economic context, a scalable business model implies that a company can increase sales given increased resources. For example, a package delivery system is ...

  3. Database scalability - Wikipedia

    en.wikipedia.org/wiki/Database_scalability

    Vertical database scaling implies that the database system can fully exploit maximally configured systems, including typically multiprocessors with large memories and vast storage capacity. Such systems are relatively simple to administer, but may offer reduced availability. However, any single computer has a maximum configuration.

  4. Shard (database architecture) - Wikipedia

    en.wikipedia.org/wiki/Shard_(database_architecture)

    Horizontal partitioning is a database design principle whereby rows of a database table are held separately, rather than being split into columns (which is what normalization and vertical partitioning do, to differing extents). Each partition forms part of a shard, which may in turn be located on a separate database server or physical location. There are numerous advantages to the horizontal ...

  5. Cloud storage - Wikipedia

    en.wikipedia.org/wiki/Cloud_storage

    Cloud storage. Cloud storage is a model of computer data storage in which data, said to be on " the cloud ", is stored remotely in logical pools and is accessible to users over a network, typically the Internet. The physical storage spans multiple servers (sometimes in multiple locations), and the physical environment is typically owned and ...

  6. Autoscaling - Wikipedia

    en.wikipedia.org/wiki/Autoscaling

    Autoscaling. Autoscaling, also spelled auto scaling or auto-scaling, and sometimes also called automatic scaling, is a method used in cloud computing that dynamically adjusts the amount of computational resources in a server farm - typically measured by the number of active servers - automatically based on the load on the farm.

  7. Hyperscale computing - Wikipedia

    en.wikipedia.org/wiki/Hyperscale_computing

    Hyperscale computing. In computing, hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system. This typically involves the ability to seamlessly provide and add compute, memory, networking, and storage resources to a given node or set of nodes that make up a larger computing, distributed ...

  8. Software as a service - Wikipedia

    en.wikipedia.org/wiki/Software_as_a_service

    Because cloud resources can be accessed without any human interactions, SaaS customers are provided with the abstraction of limitless computing resources, while economy of scale drives down the cost. [9] Another key feature of cloud computing is that software updates can be rolled out and made available to all customers nearly instantaneously. [10]

  9. ONTAP - Wikipedia

    en.wikipedia.org/wiki/ONTAP

    Horizontal scaling ONTAP clusterization came from Spinnaker acquisitions and often referred by NetApp as " Single Namespace ", "Horizontal Scaling Cluster" or "ONTAP Storage System Cluster" or just "ONTAP Cluster" and therefore often confused with HA pair or even with MetroCluster functionality.