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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 ]
A Google cluster has thousands of servers, and once the client has connected to the server additional load balancing is done to send the queries to the least loaded web server. This makes Google one of the largest and most complex content delivery networks. [94] Google has numerous data centers scattered around the world.
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 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 File System (GFS or GoogleFS, not to be confused with the GFS Linux file system) is a proprietary distributed file system developed by Google to provide efficient, reliable access to data using large clusters of commodity hardware. Google file system was replaced by Colossus in 2010. [1]
Google Cloud Shell is an online, browser-based command-line environment provided by Google Cloud Platform (GCP). It is a Debian-based virtual machine with a persistent 5 GB home directory, allowing users to manage their GCP resources and projects directly from their web browser.
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 ]
Cloud bursting is an application deployment model in which an application runs in a private cloud or data center and "bursts" to a public cloud when the demand for computing capacity increases. A primary advantage of cloud bursting and a hybrid cloud model is that an organization pays for extra compute resources only when they are needed. [ 68 ]
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