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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.
Google Cloud Platform is a part [8] of Google Cloud, which includes the Google Cloud Platform public cloud infrastructure, as well as Google Workspace (G Suite), enterprise versions of Android and ChromeOS, and application programming interfaces (APIs) for machine learning and enterprise mapping services.
Google Cloud Dataflow was announced in June, 2014 [3] and released to the general public as an open beta in April, 2015. [4] In January, 2016 Google donated the underlying SDK, the implementation of a local runner, and a set of IOs (data connectors) to access Google Cloud Platform data services to the Apache Software Foundation. [5]
Infrastructure as a service (IaaS) is the most basic form of cloud computing, where infrastructure resources—such as physical computers—are not owned by the user but instead leased from a cloud provider. As a result, infrastructure resources can be increased rapidly, instead of waiting weeks for computers to ship and set up.
The drawbacks of DaaS are generally similar to those associated with any type of cloud computing, such as the reliance of the user on the service provider's ability to avoid server downtime from terrorist attacks, power outages or natural disasters. A common criticism specific to the DaaS model is that when compared to traditional data delivery ...
In recent times, containerization technology has been widely adopted by cloud computing platforms like Amazon Web Services, Microsoft Azure, Google Cloud Platform, and IBM Cloud. [7] Containerization has also been pursued by the U.S. Department of Defense as a way of more rapidly developing and fielding software updates, with first application ...
Google Workspace (formerly G Suite, formerly Google Apps) is a collection of cloud computing, productivity and collaboration tools, software and products developed and marketed by Google. It consists of Gmail , Contacts , Calendar , Meet and Chat for communication; Drive for storage; and the Google Docs Editors suite for content creation.
Modern data centers must support large, heterogenous environments, consisting of large numbers of computers of varying capacities. Cloud computing coordinates the operation of all such systems, with techniques such as data center networking (DCN), the MapReduce framework, which supports data-intensive computing applications in parallel and distributed systems, and virtualization techniques ...