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Standard machine: 3.75 GB of RAM per virtual CPU; High-memory machine: 6.5 GB of RAM per virtual CPU; High-CPU machine: 0.9 GB of RAM per virtual CPU; Shared machine: CPU and RAM are shared between customers; Memory-optimized machine: greater than 14 GB RAM per vCPU. The prices mentioned below [5] are based on running standard Debian or CentOS ...
The following is a comparison of cloud-computing software and providers. ... Google Cloud Platform: 2013 Yes No No [1] ... Microsoft Azure: 2010 Yes Yes Yes [11] Yes
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.
Virtual machines, infrastructure as a service (IaaS), allowing users to launch general-purpose Microsoft Windows and Linux virtual machines, software as a service (SaaS), as well as preconfigured machine images for popular software packages. [13] Starting in 2022, these virtual machines are now powered by Ampere Cloud-native processors. [14]
Azure Virtual Desktop with Windows 10/11 Enterprise Multi-Session is a cloud-based alternative to an on-premise Remote Desktop Server (RDS). AVD is deployed in Azure Cloud as a virtual machine. License costs are already included in several Microsoft 365 subscriptions, including Microsoft 365 Business Premium or Microsoft 365 E3.
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]
Platform virtualization software, specifically emulators and hypervisors, are software packages that emulate the whole physical computer machine, often providing multiple virtual machines on one physical platform. The table below compares basic information about platform virtualization hypervisors.
Cloud applications differ from other applications in their scalability—which can be achieved by cloning tasks onto multiple virtual machines at run-time to meet changing work demand. [49] Load balancers distribute the work over the set of virtual machines. This process is transparent to the cloud user, who sees only a single access-point.
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