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  2. Google Cloud Shell - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Shell

    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. [1][2][3] Cloud Shell is available to all Google Cloud users ...

  3. Google Cloud Platform - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Platform

    Ruby. ASN. 396982. Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google that provides a series of modular cloud services including computing, data storage, data analytics, and machine learning, alongside a set of management tools. [2] It runs on the same infrastructure that Google uses internally for its end-user ...

  4. Google Compute Engine - Wikipedia

    en.wikipedia.org/wiki/Google_Compute_Engine

    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 ...

  5. Google App Engine - Wikipedia

    en.wikipedia.org/wiki/Google_App_Engine

    Google App Engine (also referred to as GAE or App Engine) is a cloud computing platform used as a service for developing and hosting of web applications. Applications are sandboxed and run across multiple Google-managed servers. [2] GAE supports automatic scaling for web applications, allocating more resources to the web application as the ...

  6. Google Cloud Dataflow - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Dataflow

    Google Cloud Dataflow. Google Cloud Dataflow is a fully managed service for executing Apache Beam pipelines within the Google Cloud Platform ecosystem. Dataflow provides a fully managed service for executing Apache Beam pipelines, offering features like autoscaling, dynamic work rebalancing, and a managed execution environment. [1]

  7. Google data centers - Wikipedia

    en.wikipedia.org/wiki/Google_data_centers

    Google data centers are the large data center facilities Google uses to provide their services, which combine large drives, computer nodes organized in aisles of racks, internal and external networking, environmental controls (mainly cooling and humidification control), and operations software (especially as concerns load balancing and fault tolerance).

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