01 Aug

Cloud computing & its Deployment models

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Cloud computing services can be of three type’s private, public or hybrid.

Private cloud services are those services that can be delivered from a business’s data center to internal users. It offers the adaptability and accessibility of the cloud while retaining its management, control, and security to local data centers and being common for all. Internal users may or may not be billed for services through IT chargeback. Common private cloud technologies and its vendors include VMware and OpenStack.

In the public cloud model, a third-party cloud service provider is chosen who delivers the cloud services over the internet. These services are sold on demand, typically by a minute or by an hour, even though there are long-term commitments available for many services. Organizations pay for the CPU cycles, storage or bandwidth they consume in a particular timeframe.Leading public cloud service providers are Amazon Web Services (AWS), Microsoft Azure, IBM and Google Cloud Platform.

To read about Cloud Computing and its benefits

 

hybrid cloud is a combination of public cloud services and an on-premises private cloud, with joint automation between the two. With the help of hybrid cloud, companies can run critical workloads or sensitive applications smoothly on the private cloud and use the public cloud to handle workload bursts or spikes in demand which helps to maintain its performance and stability.

The primary goal of a hybrid cloud is to build a unified, automated, scalable environment that takes advantage of all that public cloud infrastructures, while still maintaining control over critical data.

 

Types of cloud computing services

Cloud computing is constantly changing over time; it has never been the same forever. It has been divided into three service categories: infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS).

IaaS providers, like AWS, provide a virtual server instance and storage, APIs that enable users to migrate workloads to a VM. Users have been allocated with storage capacity and they can start, stop, access and configure the VM and storage as they desire. The companies that are IaaS providers present their users with small, medium, large, extra-large and memory- or compute-optimized instances, in addition to normal customized instances, for various workload needs that vary to the user to user.

In the PaaS model, the organizations that are cloud providers host development tools on their infrastructures. Users can access these tools over the internet using different APIs, web portals or gateway software. PaaS is used for general software development, and many PaaS providers host the software after it is developed. Common PaaS providers are as follows Salesforce’s Force.com, AWS Elastic Beanstalk, and Google App Engine.

SaaS is a distribution model that can deliver software applications over the internet to its users; these applications are often called web services. Users can access the SaaS applications and its services from any location using a computer or mobile device that has an internet access. One common example of a SaaS application is Microsoft Office 365 which is used for productivity and email services.

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Emerging cloud technologies and services

Organizations that provide cloud services are competitive in nature and they constantly expand their services to differentiate themselves from their competitors. This has led public IaaS providers to offer far more than common compute and storage instances for such organizations.

For example, Serverless, which is an event-driven computing system is a cloud service that executes specific functions, like image processing and database updates. Traditional cloud changes require users to establish a compute instance and load the code into that instance. Then, the user needs to decide how long to run and pay for that particular instance.

With serverless computing, developers simply need to create a code, and the cloud provider will load and execute that code in response to real-world situations, so users need not worry about the server or instance aspect of the cloud deployment. Users will only pay for the number of transactions that they incur. AWS Lambda, Google Cloud Functions, and Azure Functions are examples of such serverless computing services.

 

You can also take a look at Cloud Computing

 

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Cloud computing security

Security remains a primary concern for organizations that are contemplating cloud adoption – especially those who are looking for public cloud adoption. Companies that are Public cloud service providers share their elemental hardware infrastructure between numerous customers, as this platform is a multi-tenant environment. This environment needs extensive isolation between the logical compute resources. At the same time, the access to public cloud storage and compute resources is guarded by account login credentials and can only be accessed by authorized officials.

Many organizations bound by complex regulatory obligations and governance standards still vary to place data or workloads in the public cloud due to the fear of outages, loss or theft. However, this fear is fading, as logical isolation has proven to be truly reliable, and the addition of data encryption and various identity and access management tools has improved security within the public cloud and proved it to be secure and safe.

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