Understanding Cloud Computing and its uses in AI

Cloud computing is that the delivery of various services through the web. These resources include tools and applications like data storage, servers, databases, networking, and software.

Rather than keeping files on a proprietary disk drive or local memory device, cloud-based storage makes it possible to save lots of them to a foreign database. As long as a device has access to the online, it's access to the info and therefore the software programs to run it.

Cloud computing may be a popular option for people and businesses for variety of reasons including cost savings, increased productivity, speed and efficiency, performance, and security.

What is Cloud Computing?

Cloud computing is known as intrinsically because the knowledge being accessed is found remotely within the cloud or a virtual space. Companies that provide cloud services enable users to store files and applications on remote servers then access all the info via the web. this suggests the user isn't required to be during a specific place to realize access thereto, allowing the user to figure remotely.

Cloud computing takes all the work involved in crunching and processing data far away from the device you carry around or sit and work on. It also moves all of that employment to large computer clusters distant in cyberspace. the web becomes the cloud, and voilà—your data, work, and applications are available from any device with which you'll hook up with the web, anywhere within the world.

Cloud computing are often both public and personal. Public cloud services provide their services over the web for a fee. Private cloud services, on the opposite hand, only provide services to a particular number of individuals. These services are a system of networks that provide hosted services. there's also a hybrid option, which mixes elements of both the general public and personal services.

Compared to traditional on-premises IT, and counting on the cloud services you decide on, cloud computing helps do the following:

Lower IT costs: Cloud allows you to offload some or most of the prices and energy of buying, installing, configuring, and managing your own on-premises infrastructure.

Improve agility and time-to-value: With cloud, your organization can start using enterprise applications in minutes, rather than waiting weeks or months for IT to reply to an invitation, purchase and configure supporting hardware, and install software. Cloud also allows you to empower certain users—specifically developers and data scientists—to help themselves to software and support infrastructure.

Scale more easily and cost-effectively: Cloud provides elasticity—instead of buying excess capacity that sits unused during slow periods, you'll scale capacity up and down in response to spikes and dips in traffic. you'll also cash in of your cloud provider’s global network to spread your applications closer to users round the world.

Deployment Models:

There are various sorts of clouds, each of which is different from the opposite. Public clouds provide their services on servers and storage on the web. These are operated by third-party companies, who handle and control all the hardware, software, and therefore the general infrastructure. Clients access services through accounts which will be accessed by almost anyone.

  • Private clouds are reserved for specific clientele, usually one business or organization. The firm's data service centre may host the cloud computing service. Many private cloud computing services are provided on a personal network.
  • Hybrid clouds are, because the name implies, a mixture of both public and personal services. this sort of model allows the user more flexibility and helps optimize the user's infrastructure and security.

The Cloud Computing Services:

Cloud Computing services are changing the way information technology is getting used by public institutions and personal organizations. Today, there are a spread of cloud computing services to fulfil almost any IT requirement. Organizations typically pay just for the cloud service they use, helping them reduce operating costs and run infrastructure more efficiently.

With every organization today entering the cloud world, it's essential to know the various sorts of services cloud computing offers. Although there are many sorts of cloud computing services, of these services have a couple of basic features and advantages in common and may be categorized into four basic cloud service offerings. Organizations can fly their business, small or big, to the cloud with these four differing types of cloud computing services

1. Infrastructure as a Service (IaaS)

The lower end of managed cloud computing services where hardware resources are provided by an external provider and managed for you. IaaS provides users access to computing resources like networking, processing power and data storage capacity.

IaaS helps users to use computing power or virtual machines without labour-intensive hardware investments or server management. Physically, the hardware resources are pulled from a spread of networks and servers distributed across different data centres, all of which are managed and maintained by the cloud service provider.

For example, say a user wants a Linux system, with IaaS he will get access thereto without having to stress about the networking of the machine on which Linux is installed or the physical system.

IaaS is useful for patrons who want to make cost-effective and highly scalable IT solutions where the expenses and complexities involved in managing hardware resources are outsourced to a service provider. Most of the IaaS packages include servers, networking, storage, and virtualization components while the users are liable for installing and maintaining databases, OS, applications, and security components.

Example of IaaS: Amazon EC2, Windows Azure, Rack space, Google Compute Engine.

Features and Benefits of IaaS Cloud Computing Service:

A typical infrastructure as a service offering saves both time and money because the underlying hardware found out and support is provided by the service provider.

Resources are available on demand as and when required so there's no wastage of any unused resources and no delays on adding any resources.

Utility-based pricing model i.e., pay just for the resources you really use.

2 .Platform as a Service (PaaS)

This cloud computing service is a complicated version of IaaS. aside from just providing the IT infrastructure, PaaS also provides the computing platform and solution stack as a service. PaaS may be a cloud computing service that gives developers with a framework which will be used for building custom applications. Platform as a Service lets software developers build custom applications online without having to stress about data storage, data serving, and management.

A typical Platform as a Service offering consists of –

  • Hosting Solutions
  • OS
  • Software tools for design and development.
  • Environment for server-side scripting
  • DBMS
  • Network Access
  • Storage
  • Server Software
  • Support

Examples of PaaS solutions include Microsoft Azure, AWS Elastic Beanstalk, Force.com. by Salesforce, Google App Engine, Rack space Cloud Sites, OpenShift, and Apache Stratos

Features and Benefits of PaaS Cloud Computing Service:

PaaS makes software development easy even for non-experts as anybody can develop an application through the online browser with just one click functionality.

There is no need for the users to upgrade or update the infrastructure because the PaaS service provider handles all the update patches, upgrades, and regular software maintenance.

PaaS provides location independence as developers in several locations can work together on an equivalent application build.

There is no got to invest in physical infrastructure or in expertise required to manage it. the power to rent virtual IT infrastructure brings in great cost benefits for the users.

3 .Software as a Service (SaaS)

A special cloud computing service that comes with both IaaS and PaaS service offerings. SaaS may be a cloud computing service that gives application-level services tailored to diverse business needs like business analytics, CRM, or marketing automation. SaaS may be a cloud computing service offering that gives web-based software applications to customers on-demand. SaaS providers host a fully-functional application through a browser-based interface and make it accessible to the users through the web.

SaaS offerings allows the cloud to be leveraged for software architecture thereby reducing the overhead of support, maintenance, and operations because the applications run on systems belonging to the seller. SaaS is that the most familiar cloud computing service offering as users most frequently interact directly with SaaS applications like Netflix, Gmail, JIRA, Dropbox, or Salesforce.

SaaS may be a subscription-based offering where users subscribe software on a monthly basis instead if purchasing it so there are not any upfront costs involved. It also provides a provision to the users to finish the subscription when it's not needed.

Examples of SaaS solutions include SAP Business By Design, Zoho CRM, AppDynamics, Microsoft Office 365, Pardot Marketing Automation.

Features and Benefits of SaaS Cloud Computing Service:

There is no initial setup cost because the users can make use of the appliance as soon as they subscribe. there's no hardware cost also because the processing power is supplied by the service provider.

Flexible payments because the users buy the services on a pay-as-you-go model.

Any updates to the software are automatic and freed from charge.

SaaS provides cross-device compatibility because SaaS applications are often accessed through any internet enabled devices, like laptop, smartphone, or desktop.

Enterprises needn't engage an IT expert to download the software on multiple systems within the office nor need to worry about the keeping the software up-to-date on every PC.

4. Functions as a Service (FaaS)

Before we understand Functions as a Service, it's important to know the foremost popular tech term related to FaaS – serverless computing. Serverless computing may be a cloud computing model that takes away low-level infrastructure decisions and server management from the developers. the appliance architect needn't affect the allocation of resources because it is managed by the cloud service provider.

FaaS may be a brand-new and really young cloud computing service acting as a game-changer for several businesses. it's a serverless computing concept that lets software developers develop applications and deploy a private “function”, piece of business logic, or an action without maintaining a server. It increases the efficiency as developers needn't to think about server operations because they're hosted externally.

Examples of FaaS Solution include Google Cloud Function, Microsoft Azure Functions, Webtask.io, Iron.io, Open Whisk, and AWS Lambda.

Features and Benefits of FaaS Cloud Computing Service:

Money isn't wasted on inactive resources as users are billed counting on the quantity of functionality used.

Makes developers efficient as they will focus more on writing application-specific logic instead of having to affect the server logistics.

FaaS code is inherently scalable and fault-tolerant.

Example of Cloud Services:

Regardless of the type of service, cloud computing services provide users with a series of functions including:

  • Email
  • Storage, backup, and data retrieval
  • Creating and testing apps
  • Analysing data
  • Audio and video streaming
  • Delivering software on demand

Cloud computing continues to be a reasonably new service but is getting used by variety of various organizations from big corporations to small businesses, non-profits to government agencies, and even individual consumers.

Advantages of Cloud Computing:

  • Cloud-based software offers companies from all sectors variety of advantages, including the power to use software from any device either via a native app or a browser. As a result, users can carry their files and settings over to other devices during a completely seamless manner.
  • Cloud computing is way quite just accessing files on multiple devices. because of cloud computing services, users can check their email on any computer and even store files using services like Dropbox and Google Drive.6 7 Cloud computing services also make it possible for users to copy their music, files, and photos, ensuring those files are immediately available within the event of a tough drive crash.
  • It also offers big businesses huge cost-saving potential. Before the cloud became a viable alternative, companies were required to get, construct, and maintain costly information management technology and infrastructure. Companies can swap costly server centres and IT departments for fast Internet connections, where employees interact with the cloud online to finish their tasks.
  • The cloud structure allows individuals to save lots of space for storing on their desktops or laptops. It also lets users upgrade software more quickly because software companies offer their products via the online instead of through more traditional, tangible methods involving discs or flash drives for instance, Adobe customers can access applications in its Creative Cloud through an Internet-based subscription.8 this enables users to download new versions and fixes to their programs easily.

Disadvantages of the Cloud:

  • With all of the speed, efficiencies, and innovations that accompany cloud computing, there are, naturally, risks.
  • Security has always been an enormous concern with the cloud especially when it involves sensitive medical records and financial information. While regulations force cloud computing services to prop up their security and compliance measures, it remains an ongoing issue. Encryption protects vital information, but if that encryption key's lost, the info disappears.
  • Servers maintained by cloud computing companies may fall victim to natural disasters, internal bugs, and power outages, too. The geographical reach of cloud computing cuts both ways: A blackout in California could paralyze users in Ny, and a firm in Texas could lose its data if something causes its Maine-based provider to crash.
  • As with any technology, there's a learning curve for both employees and managers. But with many individuals accessing and manipulating information through one portal, inadvertent mistakes can transfer across a whole system.


Traditionally, security concerns are the first obstacle for organizations considering cloud services, particularly public cloud services. In response to demand, however, the safety offered by cloud service providers is steadily outstripping on-premises security solutions.

According to security software provider McAfee, today, 52% of companies experience better security within the cloud than on-premises (link resides outside IBM). And Gartner has predicted that by this year (2020), infrastructure as a service (IaaS) cloud workloads will experience 60% fewer security incidents than those in traditional data centres.

Nevertheless, maintaining cloud security demands different procedures and employee skillsets than in legacy IT environments. Some cloud security best practices include the following:

  • Shared responsibility for security: Generally, the cloud provider is liable for securing cloud infrastructure and therefore the customer is liable for protecting its data within the cloud—but it is also important to obviously define data ownership between private and public third parties.
  • Data encryption: Data should be encrypted while at rest, in transit, and in use. Customers got to maintain full control over security keys and hardware security module.
  • User identity and access management: Customer and IT teams need full understanding of and visibility into network, device, application, and data access.
  • Collaborative management: Proper communication and clear, understandable processes between IT, operations, and security teams will ensure seamless cloud integrations that are secure and sustainable.
  • Security and compliance monitoring: This begins with understanding all regulatory compliance standards applicable to your industry and fixing active monitoring of all connected systems and cloud-based services to take care of visibility of all data exchanges between public, private, and hybrid cloud environments.

Cloud Computing cases:

With 25% of organizations getting to move all their applications to cloud within subsequent year, it might seem that cloud computing use cases are limitless. But even for companies not planning a wholesale shift to the cloud, certain initiatives and cloud computing are a match made in IT heaven.

Disaster recovery and business continuity have always been a natural for cloud because cloud provides cost-effective redundancy to guard data against system failures and therefore the physical distance required to recover data and applications within the event of an area outage or disaster. All of the main public cloud providers offer Disaster-Recovery-as-a-Service (DRaaS).

Anything that involves storing and processing huge volumes of knowledge at high speeds—and requires more storage and computing capacity than most organizations can or want to get and deploy on-premises—is a target for cloud computing. 

Examples include:
  • Big data analytics
  • Internet of Things (IoT)
  • Artificial intelligence—particularly machine learning and deep learning applications.

For development teams adopting Agile or DevOps (or DevSecOps) to streamline development, cloud offers the on-demand end-user self-service that keeps operations tasks—such as spinning up development and test servers—from becoming development bottlenecks.

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