Skip to main content

Understanding Cloud Computing

IaaS, Paas, SaaS

Cloud computing is commonly characterized as providing three types of functionality, referred to
Cloud computing refers to the delivery of computing services from a remote location over a network. The National Institute of Standards and Technology (NIST), a U.S. government agency, has a definition of cloud computing that is generally considered the gold standard. Rather than trying to create my own definition, I always defer to NIST's definition. The following information is drawn directly from it.
  • Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.
This cloud model is composed of five essential characteristics:

  • On-demand self-service: A consumer can unilaterally provision computing capabilities, such as server time and network storage, automatically as needed without requiring human interaction with each service provider.
  • Broad network access: Capabilities are available over the network and accessed via standard mechanisms that promote use by heterogeneous thin or thick client platforms (such as mobile phones, tablets, laptops, and workstations).
  • Resource pooling: 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. There's a sense of so-called location independence, in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (by country, state, or data.
  • Rapid elasticity: 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 to be unlimited and can be appropriated in any quantity at any time.
  • Measured service: Cloud systems automatically control and optimize resource use by leveraging a metering capability at a level of abstraction that's appropriate to the type of service (storage, processing, bandwidth, or active user accounts, for example). Resource usage can be monitored, controlled, and reported, providing transparency for both the provider and consumer of the utilized service.
  • service implies that the functionality isn't local to the user but rather originates elsewhere (a location in a remote location accessed via a network). The letters I, P, and S in the acronyms refer to different types of functionality, as the following list makes clear:
    • Infrastructure as a Service (Iaas): Offers users the basic building blocks of computing: processing, network connectivity, and storage. (Of course, you also need other capabilities in order to fully support IaaS functionality — such as user accounts, usage tracking, and security.) You would use an IaaS cloud provider if you want to build an application from scratch and need access to fairly low-level functionality within the operating system.
    • Platform as a Service (PaaS): Instead of offering low-level functions within the operating system, offers higher-level programming frameworks that a developer interacts with to obtain computing services. For example, rather than open a file and write a collection of bits to it, in a PaaS environment the developer simply calls a function and then provides the function with the collection of bits. The PaaS framework then handles the grunt work, such as opening a file, writing the bits to it, and ensuring that the bits have been successfully received by the file system. The PaaS framework provider takes care of backing up the data and managing the collection of backups, for example, thus relieving the user of having to complete further burdensome administrative tasks.
    • Software as a Service (SaaS): Has clambered to an even higher rung on the evolutionary ladder than PaaS. With SaaS, all application functionality is delivered over a network in a pretty package. The user need do nothing more than use the application; the SaaS provider deals with the hassle associated with creating and operating the application, segregating user data, providing security for each user as well as the overall SaaS environment, and handling a myriad of other details.

Comments

Popular posts from this blog

The best 5 differences of AWS EMR and Hadoop

With Amazon Elastic MapReduce (Amazon EMR) you can analyze and process vast amounts of data. It does this by distributing the computational work across a cluster of virtual servers running in the Amazon cloud. The cluster is managed using an open-source framework called Hadoop.

Amazon EMR has made enhancements to Hadoop and other open-source applications to work seamlessly with AWS. For example, Hadoop clusters running on Amazon EMR use EC2 instances as virtual Linux servers for the master and slave nodes, Amazon S3 for bulk storage of input and output data, and CloudWatch to monitor cluster performance and raise alarms.

You can also move data into and out of DynamoDB using Amazon EMR and Hive. All of this is orchestrated by Amazon EMR control software that launches and manages the Hadoop cluster. This process is called an Amazon EMR cluster.


What does Hadoop do...

Hadoop uses a distributed processing architecture called MapReduce in which a task is mapped to a set of servers for proce…

5 Things About AWS EC2 You Need to Focus!

Amazon Elastic Compute Cloud (Amazon EC2) - is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers.
Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction.

The basic functions of EC2... 
It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment.Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing you to quickly scale capacity, both up and down, as your computing requirements change.Amazon EC2 changes the economics of computing by allowing you to pay only for capacity that you actually use. Amazon EC2 provides developers the tools to build failure resilient applications and isolate themselves from common failure scenarios. 
Key Points for Interviews:

EC2 is the basic fundamental block around which the AWS are structured.EC2 provides remote ope…

6 Most Popular IoT Protocols Currently Being Used

The below is complete list of Protocols being used in Internet of things projects.

CoAP: Constrained Application Protocol. MQTT: Message Queue Telemetry Transport. XMPP: Extensible Messaging and Presence Protocol. RESTFUL Services: Representational State Transfer. AMQP: Advanced Message Queuing Protocol Websockets. 
Related:
5 Challenges in Internet-of-things mostly people look inHot IT Skills by Udemy and Dice