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  2. Google Compute Engine - Wikipedia

    en.wikipedia.org/wiki/Google_Compute_Engine

    Google Compute Engine enables users (utilising authentication based on OAuth 2.0) to launch virtual machines (VMs) on demand. VMs can be launched from the standard images or custom images created by users. Google Compute Engine can be accessed via the Developer Console, RESTful API or command-line interface (CLI).

  3. Google Cloud Platform - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Platform

    Compute Engine – Infrastructure as a Service to run Microsoft Windows and Linux virtual machines. Google Kubernetes Engine (GKE) or GKE on-prem offered as part of Anthos platform [11] [12] – Containers as a Service based on Kubernetes. Cloud Functions – Functions as a Service to run event-driven code written in Node.js, Java, Python, or Go.

  4. Comparison of cluster software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_cluster_software

    Cost Some Grid Engine / Son of Grid Engine / Sun Grid Engine daimh Job Scheduler actively developed (stable/maintenance) Master node/exec clients, multiple admin/submit nodes HPC/HTC Open-source SISSL *nix Free No SynfiniWay: Fujitsu: actively developed HPC/HTC ? Unix, Linux, Windows: Cost Techila Distributed Computing Engine: Techila ...

  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 web applications. Applications are sandboxed and run across multiple Google-managed servers. [ 2 ]

  6. Google Cloud Dataflow - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Dataflow

    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]

  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).

  8. 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.

  9. Cloud computing - Wikipedia

    en.wikipedia.org/wiki/Cloud_computing

    The report also reveals that cost savings is the top cloud initiative for 60% of respondents. Furthermore, 65% measure cloud progress through cost savings, while 42% prioritize shorter time-to-market, indicating that cloud's promise of accelerated deployment is often overshadowed by cost concerns. [22]

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