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Google Cloud Platform is a part [7] 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 Compute Engine Unit (GCEU), which is pronounced as GQ, is an abstraction of computing resources. According to Google, 2.75 GCEUs represent the minimum power of one logical core (a hardware hyper-thread) based on the Sandy Bridge platform. The GCEU was created by Anthony F. Voellm out of a need to compare the performance of virtual ...
Google App Engine (also referred to as GAE or App Engine) is a cloud computing platform used as a service for developing and hosting web applications.Applications are sandboxed and run across multiple Google-managed servers. [2]
Cloud computing architecture refers to the components and subcomponents required for cloud computing.These components typically consist of a front end platform (fat client, thin client, mobile), back end platforms (servers, storage), a cloud based delivery, and a network (Internet, Intranet, Intercloud).
[5] [4] Google's 2017 paper describing its creation cites previous systolic matrix multipliers of similar architecture built in the 1990s. [8] The chip has been specifically designed for Google's TensorFlow framework, a symbolic math library which is used for machine learning applications such as neural networks. [9]
Google's internal cloud doesn't use virtualization, but product development on an external cloud platform started in 2014, leading to the launch of the Google Cloud Platform in 2016. Hölzle is also credited with changing Google Cloud's engineering culture "to make the transition from niche cloud to enterprise class cloud". [4]
Google worked with the Linux Foundation to form the Cloud Native Computing Foundation (CNCF) [19] and offered Kubernetes as the seed technology. Google was already offering a managed Kubernetes service, GKE, and Red Hat was supporting Kubernetes as part of OpenShift since the inception of the Kubernetes project in 2014. [20]
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 ...