Cloud computing applications develops by leveraging platforms and frameworks. Various types of services are provided from the bare metal infrastructure to. Comparing Cloud Platforms covers the big three players in cloud computing: Amazon Web Services, Google Cloud Platform, and Microsoft Azure. Cloud computing is the on-demand delivery of compute power, database storage, applications, and other IT resources through a cloud services platform via the.


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Introducing the key cloud computing platforms

Stop guessing capacity Eliminate guessing on your infrastructure capacity needs. When you make a capacity decision prior to deploying an application, you often either end up sitting on expensive idle resources or dealing with limited capacity.

I may unsubscribe at any time. Some platforms support only public cloud computing service use, others support only the creation of private clouds and a few support a mix of both. Those who develop for, or deploy applications on, cloud computing resources both public and private may have to make a decision on which cloud computing platforms cloud computing platform to use.

The wrong choice could negatively impact everyone involved, so it's important to look at the choices carefully and consider short- and long-term issues in your decision.

Here are the key cloud architectures available today: Amazon's Elastic Compute Cloud, or EC2, is probably the most generalized and best-known of the cloud computing service offerings.


IBM Computing on Demand or Blue Cloud is a highly enterprise-focused cloud computing offering that, because it is related to cloud computing platforms built with the same technology sold to enterprises, can cross over between public and private cloud applications.

Microsoft's Azure cloud computing, based on Microsoft Vista and. A public-cloud delivery model converts cloud computing platforms expenditures e.


Pricing on a cloud computing platforms computing basis is "fine-grained", with usage-based billing options. As well, less in-house IT skills are required for implementation of projects that use cloud computing. Device and location independence [44] enable users to access systems using a web browser regardless of their location or what device they use e.

Course Introduction

As infrastructure is off-site typically provided by a third-party and accessed via the Internet, users can connect to it from anywhere. Multitenancy enables sharing of resources and costs across a large pool of users thus allowing for: There is a sense of location independence in cloud computing platforms the consumer generally have no control or knowledge over the exact location of the provided resource.

Time may be saved as information does not need to be re-entered when fields are matched, nor do users need cloud computing platforms install application software upgrades to their computer. Security is often as good as or better than other traditional systems, in part because service providers are able to devote resources to solving security issues that many customers cannot afford to tackle or which they lack the technical skills to address.

In addition, user access to security audit logs may be difficult or impossible.

Private cloud installations are in part motivated by users' desire to cloud computing platforms control over the infrastructure and avoid losing control of information security. The National Institute of Standards and Technology 's definition of cloud computing platforms computing identifies "five essential characteristics": A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider.

Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms e. The provider's computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand.

Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the capabilities available for provisioning often appear unlimited and can be appropriated in any quantity at any time.

Cloud systems automatically control and optimize resource use by leveraging a cloud computing platforms capability at some level of abstraction appropriate to the type of service e. cloud computing platforms

Resource usage can be monitored, controlled, and reported, providing transparency for both the provider and consumer of the utilized service.

For example, one can provide SaaS implemented on physical machines bare metalwithout using underlying PaaS or IaaS layers, and conversely one can run a program on IaaS and access it directly, without wrapping it as SaaS.

Infrastructure as a cloud computing platforms IaaS Main article: Infrastructure as a service "Infrastructure as a service" IaaS refers to online services that provide high-level APIs used to dereference various low-level details of underlying network infrastructure like physical computing resources, location, data partitioning, scaling, security, backup etc.

Pools of hypervisors within the cloud operational system can support large numbers of cloud computing platforms machines and the ability to scale services up and down according to customers' varying requirements.

  • Cloud computing - Wikipedia
  • What is Cloud Computing? - Amazon Web Services
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