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2. Google Compute Engine - Wikipedia

   en.wikipedia.org/wiki/Google_Compute_Engine

   The GCEU was created by Anthony F. Voellm out of a need to compare the performance of virtual machines offered by Google. It is approximated by the Coremark(TM) benchmark run as part of the PerfKitBenchmarker Open Source benchmark created by Google in partnership with many Cloud Providers.

3. Google Cloud Platform - Wikipedia

   en.wikipedia.org/wiki/Google_Cloud_Platform

   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.

4. 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]

5. Google Cloud Shell - Wikipedia

   en.wikipedia.org/wiki/Google_Cloud_Shell

   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, including those on the free tier, at no additional cost.

6. Cloud-computing comparison - Wikipedia

   en.wikipedia.org/wiki/Cloud-computing_comparison

   The following is a comparison of cloud-computing software and providers. IaaS (Infrastructure as a service) ... Google Cloud Platform: 2013 Yes No No [1]

7. Serverless computing - Wikipedia

   en.wikipedia.org/wiki/Serverless_computing

   A useful analogy here is between rental car (traditional cloud Virtual Machines) versus ride share apps like Uber or Lyft (serverless computing). Immediate cost benefits are related to the lack of operating costs, including: licenses, installation, dependencies, and personnel cost for maintenance, support, or patching. [18]

8. Virtual machine - Wikipedia

   en.wikipedia.org/wiki/Virtual_machine

   In computing, a virtual machine (VM) is the virtualization or emulation of a computer system. Virtual machines are based on computer architectures and provide the functionality of a physical computer. Their implementations may involve specialized hardware, software, or a combination of the two.

9. Elasticity (computing) - Wikipedia

   en.wikipedia.org/wiki/Elasticity_(computing)

   A cloud virtual machine (VM) can be acquired at any time by the user; however, it may take up to several minutes for the acquired VM to be ready to use. The VM startup time is dependent on factors, such as image size, VM type, data center location, number of VMs, etc. [5] Cloud providers have