The Five Common Stereotypes When It Comes To Cloud Computing.

Companies can control exactly where their data is being held and can build the infrastructure in a way they want – largely for IaaS or PaaS projects – to give developers access to a pool of computing power that scales on-demand without putting security at risk. Private cloud allows organizations to benefit from the some of the advantages of public cloud – but without the concerns about relinquishing control over data and services, because it is tucked away behind the corporate firewall. The exact benefits will vary according to the type of cloud service being used but, fundamentally, using cloud services means companies not having to buy or maintain their own computing infrastructure.

Meanwhile spending on traditional, in-house IT continues to slide as computing workloads continue to move to the cloud, whether that is public cloud services offered by vendors or private clouds built by enterprises themselves. Netflix relies on cloud computing services to run its its video streaming service and its other business systems too, and have a number of other organisations. That includes consumer services like Gmail or the cloud back-up of the photos on your smartphone, though to the services which allow large enterprises to host all their data and run all of their applications in the cloud.

With SaaS, cloud providers host and manage the software application and underlying infrastructure and handle any maintenance, like software upgrades and security patching. Software-as-a-service (SaaS) is a method for delivering software applications over the Internet, on demand and typically on a subscription basis. Most cloud computing services are provided self service and on demand, so even vast amounts of computing resources can be provisioned in minutes, typically with just a few mouse clicks, giving businesses a lot of flexibility and taking the pressure off capacity planning.

Cloud computing eliminates the capital expense of buying hardware and software and setting up and running on-site datacenters—the racks of servers, the round-the-clock electricity for power and cooling, the IT experts for managing the infrastructure. The Federal Cloud Computing Strategy characterizes cloud computing as a profound economic and technical shift (with) great potential to reduce the cost of federal Information Technology (IT) systems while … improving IT capabilities and stimulating innovation in IT solutions.” One challenge for cloud computing is to have clearly and consistently categorized cloud services, which is identified as requirement 4 in the NIST cloud computing technology roadmap (NIST SP 500-293). However, cloud computing technology challenges many traditional approaches to datacenter and enterprise application design and management.

Simply put, cloud is shifting from an additional technology which is added on top of existing infrastructure towards becoming the core of several systems, including – and increasingly – mission-critical ones in the enterprise, enabling organizations to move at the faster pace they need, mixing public and private clouds. NIST defines PaaS as follows: (in PaaS), The capability provided to the consumer is to deploy onto the cloud infrastructure consumer-created or acquired applications created using programming languages, libraries, services, and tools supported by the provider. In our cloud computing definitions intro we called Platform-as-a-Service or PaaS the cloud for developers of various possible types of applications.

Also the customer service and contact center environment has been moving towards cloud in various areas: from full contact center applications to specific applications which are used in a customer service context (conferencing platforms, chatbots, integrated email management, UCC, you name it) The big boost came with the SaaS CRM (Customer Relationship Management) boom which, today, along with ERM (Enterprise Resource Management, as the name says software that enables managing resources, ranging from network resources to HR applications, manufacturing resources and more) account for the main portion of SaaS spending. The consumer does not manage or control the underlying cloud infrastructure but has control over operating systems, storage, and deployed applications; and possibly limited control of select networking components (e.g., host firewalls)”.

On a worldwide level public cloud services spending on IaaS will grow much faster than SaaS with a five-year compound annual growth rate of 30 percent according to IDC July 2017 data , covering the period until 2021. They can move workloads from one type of cloud to another, upscale in no time, adapt their cloud needs in function of demand and dispose of a wide range of additional tools in the cloud to accelerate application roll-out at scale, add intelligence to their cloud environments, protect the endpoints of their business with smart cloud-based security tools and deploy new software faster, not just by ‘putting it in the cloud’ but increasingly by truly migrating it to the cloud computing paradigm. As flexibility, business agility, the possibility to deploy and to scale fast are increasingly joining and even overtaking more traditional cloud benefits such as cost saving as organizations focus on optimization, innovation and transformation in an increasingly real-time economy where speed and time-to-market are essential and customers and end users expect fast and available applications and experiences, this flexibility also goes for the ‘mix’ and management of various clouds..

As the name indicates a private cloud is a specific cloud computing model that offers many computing resources as a service as we know them from the public cloud and from our cloud definitions with an important distinction: only the specific customer can use the – distinct – resource pool in this virtualized environment. Cloud is an additional layer of technologies that enables dynamic workload deployment through a higher degree of virtualization than in a traditional data center, leading to a virtual infrastructure (the mentioned shared resources) and enabling cloud services. One or two servers, a few clients (computers, thin clients), storage equipment, network services and all the systems and other hardware needed to run the business are all parts of an on-premises deployment, which again, can be enough – and can be complex.

On-premises, as a term, refers to the physical location of software, platforms, hardware and infrastructure (communications, storage, backup and much more), ranging from servers and server rooms to on-premises data centers.

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