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PaaS providers which can run on IaaS providers ("itself" means the provider is both PaaS and IaaS): Software Amazon EC2 Rackspace GoGrid Mail.Ru (MCS) Other AppScale:
Kubernetes supports several abstractions of workloads that are at a higher level over simple pods. This allows users to declaratively define and manage these high-level abstractions, instead of having to manage individual pods by themselves.
The use of containers offers higher performance than virtualization because there is no hypervisor overhead. IaaS clouds often offer additional resources such as a virtual-machine disk-image library, raw block storage, file or object storage, firewalls, load balancers, IP addresses, virtual local area networks (VLANs), and software bundles. [41
Platform as a service (PaaS) or application platform as a service (aPaaS) or platform-based service is a cloud computing service model where users provision, instantiate, run and manage a modular bundle of a computing platform and applications, without the complexity of building and maintaining the infrastructure associated with developing and launching application(s), and to allow developers ...
IaaS requires time and expertise to make use of the infrastructure in the form of operating systems and applications. [4] Platform as a service (PaaS) includes the operating system and middleware, but not the applications. [5] [6] SaaS providers typically use PaaS or IaaS services to run their applications. [5]
IaaS services are typically billed as a utility: cost reflects the amount of resources allocated or consumed. Typically, IaaS involves the use of a cloud orchestration technology such as OpenStack, Apache CloudStack, or OpenNebula. It manages the creation of a virtual machine (VM) and decides on the hypervisor (i.e. physical host) in order to ...
It is mostly deployed as infrastructure-as-a-service (IaaS) in both public and private clouds where virtual servers and other resources are made available to users. [2] The software platform consists of interrelated components that control diverse, multi-vendor hardware pools of processing, storage, and networking resources throughout a data ...
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