Cloud Computing basics all we need to Know?

Cloud Computing Basics

Cloud Computing

Cloud computing requires data and programs to be stored and accessed the internet, not your computer’s hard drive of your computer. The cloud is just an Internet metaphor. This is called local storage and computing when you store information on or operate programs from the hard drive.

7 reasons for using this in organizations:

Cloud computing is a major change from the traditional thinking of IT resources by companies.

  • Cost
  • Speed
  • Global scale
  • Productivity
  • Performance
  • Reliability
  • Security

Types of cloud computing

  1. Public cloud: They are owned and operated by third-party cloud service suppliers that bring computer resources. Microsoft Azure  is a government cloud instance, the cloud supplier owns and manages all hardware, software and other supporting infrastructure with a government cloud. You access these facilities and use a web browser to handle your account.
  2. Private cloud: They refer to cloud computing resources used solely by a single company or organization. A private cloud can be located physically in the on-site data center of the company. Some businesses also pay for hosting their private cloud to third-party service suppliers. A private cloud is one in which a private network maintains the facilities and infrastructure.
  3. Hybrid cloud: Hybrid clouds combine public and private clouds combined with technology that enables sharing between them of information and apps. A hybrid cloud provides your company with higher flexibility, more deployment options, and helps optimize your current facilities, safety, and compliance by enabling information and apps to move between private and public clouds.

Cloud Computing Fundamentals:

  • Business value
  • Service deployment
  • Self-service deployment

As a service during Infrastructure and Platform in the form of IAAS and PAAS, is an evolutionary move towards a very significant change in its deployment model and business value.

For fast development, the conventional idea has been substituted by on-demand service, which is why actual SaaS prospects have not been properly achieved, active products are, as in reality, merely rebranded or repackaged by suppliers.

NOTE: An unlimited scalability is provided by the cloud infrastructure.

Models of Cloud Service:

  1. SaaS (Software as a Service):   The cloud application is heavily regulated by administrative power in this sort of model and the service provider is charged for updates, growth, maintenance, and safety. The service provider, therefore, monitors the final power over the entire implementation and the end-user is completely free of any service problems. A SaaS instance is Gmail, where Google is the supplier and we are only end-users.

Need of SAAS: With productivity and cooperation, SAAS can be introduced to create the job a little easier for                                           HR, PayRoll, and Sales.

Cloud-based services such as Dropbox, Windows Live, Amazon S3, Google Docs, and, etc.

Advantages of SaaS

  • Gain access to sophisticated applications
  • Pay only for what you use
  • Use free client software
  • Mobilize your workforce easily
  • Access app data from anywhere

NOTE: SAAS itself is an instance of individual use of more than 30 Google Cloud Services.

  1. PaaS (Platform as a Service): A software development, testing, and deployment policy are practically known as a platform and the entire SDLC is operated on a service model. It is devoted to designers, testers, and administrators of applications. Also provides everything needed to construct a cloud SaaS application.

The need for PAAS: The developer requires to focus solely on the growth of the application as the platform                                                         itself is responsible for everything.

Advantages of PaaS

  • Cut coding time
  • Add capacity for growth without adding employees
  • Develop for multiple platforms—including mobile—more easily
  • Use sophisticated tools affordably
  • Support geographically distributed development teams
  • Efficiently manage the application lifecycle
    1. Serverless Computing: It’s a server, facilities, and operating system abstraction. You don’t need to provide and handle any servers when building serverless applications, so you can take your mind off infrastructure issues. It’s a server, facilities, and operating system abstraction. It’s motivated by the response to near-real-time occurrences and triggers — in the cloud.

As a fully managed service, the developer is invisible to server management and capacity planning, and billing is based solely on consumed resources or the real-time your software is running.

  1. IaaS (Infrastructure as a service): Virtual pcs, cloud storage, parts of network infrastructure, such as firewalls and configuration facilities, etc, are nothing but IaaS. System Administrators are the users of this service and considering the use of CPUs per hour, data storage, network bandwidth, and infrastructure consumed respectively, the costs can be added and services can be used.

For example monitoring, auto-scaling.

Advantages of IaaS

  • Eliminates the capital expense and reduces the ongoing cost
  • Improves business continuity and disaster recovery
  • Innovate rapidly
  • Respond quicker to shifting business conditions
  • Focus on your core business
  • Increase stability, reliability, and supportability
  • Better security
  • Gets new apps to users faster

Cloud Computing and Virtualization

  1. A Virtualization is a software that virtualizes your hardware into various computers while various hardware systems are combined with cloud computing.
  2. A user receives specialized hardware in Virtualization while various hardware systems in cloud computing provide the user with one login setting.
  3. Cloud computing is best accessible from outside the office network, while Virtualization is only accessible from the office.
  4. Virtualization is not dependent on the cloud computing environment while cloud computing can not exist without virtualization. Cloud computing operates on IaaS while SaaS is the basis for virtualization.
  5. Shared computing resources such as software and hardware provide you with a cloud computing setting while virtualization goes into being after manipulation of machine/hardware.
  6. Cloud Computing provides you flexibility such as pay as you go, self-service, etc. while access to a virtualized environment won’t allow you to such features.
  7. Cloud computing is good for selling your service/software to external users, while Virtualization is the best way to set up a data center in the network/infrastructure of the company.
  8. In the cloud network, storage capacity is limitless while in virtualization it depends on the capacity of the physical server.

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