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  2. 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.

  3. 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 ...

  4. Scalability testing - Wikipedia

    en.wikipedia.org/wiki/Scalability_testing

    Vertical scaling, also known as scaling up, is the process of replacing a component with a device that is generally more powerful or improved. For example, replacing a processor with a faster one. Horizontal scaling, also known as scaling out is setting up another server for example to run in parallel with the original so they share the workload.

  5. Shard (database architecture) - Wikipedia

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

    Shard (database architecture) A database shard, or simply a shard, is a horizontal partition of data in a database or search engine. Each shard is held on a separate database server instance, to spread load. Some data within a database remains present in all shards, [a] but some appear only in a single shard. Each shard (or server) acts as the ...

  6. Database scalability - Wikipedia

    en.wikipedia.org/wiki/Database_scalability

    Database scalability has three basic dimensions: amount of data, volume of requests and size of requests. Requests come in many sizes: transactions generally affect small amounts of data, but may approach thousands per second; analytic queries are generally fewer, but may access more data. A related concept is elasticity, the ability of a ...

  7. Timeline of Amazon Web Services - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_Amazon_Web...

    The Amazon Web Services blog is launched, with a first blog post by Jeff Barr. [9][10] At the time, the name Amazon Web Services refers to a collection of APIs and tools to access the Amazon.com catalog, rather than the Infrastructure as a Service it would eventually become. [10][11][12][13] 2005. Prelude. A private precursor to AWS launches ...

  8. Amazon Elastic Compute Cloud - Wikipedia

    en.wikipedia.org/wiki/Amazon_Elastic_Compute_Cloud

    aws.amazon.com /ec2 /. Amazon Elastic Compute Cloud (EC2) is a part of Amazon 's cloud-computing platform, Amazon Web Services (AWS), that allows users to rent virtual computers on which to run their own computer applications. EC2 encourages scalable deployment of applications by providing a web service through which a user can boot an Amazon ...

  9. Amazon ElastiCache - Wikipedia

    en.wikipedia.org/wiki/Amazon_ElastiCache

    Amazon ElastiCache is a fully managed in-memory data store and cache service by Amazon Web Services (AWS). The service improves the performance of web applications by retrieving information from managed in-memory caches, instead of relying entirely on slower disk-based databases. ElastiCache supports two open-source in-memory caching engines ...