What is Cloud computing?

Cloud computing covers anything that involves delivering hosted services over the internet. These services are divided into three categories: Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). All cloud services have three unique characteristics that differ them from traditional hosting:

  • They are commercial and sold on demand to users
  • They are flexible - a user can have as little or as much of the service as he wants at any time and can quickly outsource peaks of activity without long term commitment
  • They are fully managed by the cloud provider; the consumer requires only a computer and internet access.
  • Hybrid cloud gives you the benefits of both public and private clouds. e.g. you can put public-facing components in a public cloud, while storing customer-sensitive data in a private cloud.
  • The cloud is usually opaque to the end user as the end user does not have to manage the core technology. The end user’s only duty is to use the resources from the cloud on demand and upon predefined terms.
  • More specifically, in web hosting cloud computing means that all web hosting services (web, ftp, mail, etc) run on many different servers ensuring that a failure in one device will not cause a service failure.

Type of Clouds?

Clouds can be both private and public. Public clouds sell their services to anyone on the internet. Private clouds, on the other hand, are proprietary networks or data centres that supply hosted services to a selected number of people e.g. within a particular company or group of companies. Clouds can also be classified based of type of services they offer:

  • Infrastructure-as-a-Service (IaaS) - Buying access to computing capacity over the internet, such as servers or storage. Also known as utility computing, as it is like buying in a utility service such as gas or electricity. IaaS often employs virtualisation so users can create their own "virtual computer". This means they can specify the applications, software and operating system they want to deploy in the cloud. Advantages are that users don't need to worry about purchasing and running their own hardware but disadvantages include that it can be difficult to package up and run a computer remotely.
  • Platform-as-a-service (PaaS) - Developing applications that use web-based tools, so they run in a software environment (i.e. a platform) provided by another company.
  • Software-as-a-service (SaaS) - Using a complete application running on someone else's system. Web-based email and customer service management systems are examples of SaaS.

Benifits of Clouds

  • Reduction of costs: Unlike on-site hosting the price of deploying applications in the cloud can be less due to lower hardware costs from more effective use of physical resources.
  • Universal access: Cloud computing can allow remotely located employees to access applications and work via the internet.
  • Up to date software: A cloud provider will also be able to upgrade software keeping in mind feedback from previous software releases.
  • Choice of applications: Cloud computing also allows a business to use, access and pay only for what they use, with a fast implementation time
  • Potential to be greener and more economical: The average amount of energy needed for a computational action carried out in the cloud is far less than the average amount for an on-site deployment. This is because different organisations can share the same physical resources securely, leading to more efficient use of the shared resources.
  • Flexibility: Cloud computing allows users to switch applications easily and rapidly, using the one that suits their needs best. However, migrating data between applications can be an issue.

Hadoop as a Service in the Cloud (HaaS)

Hadoop provides a scheduling and resource management framework to execute map and reduce phases in a cluster environment. Big data applications help you make sense of your data and discover critical insights that drive business optimizations. But with large volumes of data, a shortage of expertise, and large upfront investments, your project costs can quickly spiral out of control. Running Hadoop on the cloud makes sense for similar reasons as running any other software offering on the cloud. For companies still testing the waters with Hadoop, the low capacity investment in the cloud is a no-brainer.

Being a batch-oriented system, typical usage patterns for Hadoop involve scheduled jobs processing new incoming data on a fixed, temporal basis. Companies collecting activity data from devices or web server logs ingest this data into an analytics application on Hadoop once or many in a day and extract insights from them. The load on compute resources of a Hadoop cluster varies based on the timings of these scheduled runs or rate of incoming data.

Microsoft Cloud Solutions



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