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Cloud Computing And Its uses In Salesforce

What is Cloud Computing? 

The on-demand availability of computer system resources, particularly data storage (cloud storage) and processing power, without direct active management by the user is known as cloud computing. Functions in large clouds are frequently dispersed over several sites, each of which is a data center. Cloud computing often uses a "pay as you go" model, which can help reduce capital expenses but may also result in unanticipated running expenses for users. Cloud computing depends on resource sharing to accomplish coherence. Enrolling in the cloud computing courses to learn more about cloud computing..

Why Cloud Computing?

We must go back in time to a time before cloud computing was widely used or did not exist in order to fully grasp it. Not too far in the past, if we looked back 15-20 years, we would see that company operations and application hosting were extremely different. Take this hosting of applications as an example. We had to set up an infrastructure in order to host an application; we still do this now, but significantly differently. You had to purchase a stack of servers back then. These servers were much more expensive than they are now. This implied that there were substantial up-front expenses. Salesforce cloud computing infrastructure is one of the learning players in this segment.

Salesforce service cloud supports automated services, security, flexibility and much more. Join online Salesforce training to master the different concepts of Salesforce.

History of Cloud Computing

By the middle of the 1990s, the phrase "the cloud" was being used to describe this new digital space. Microsoft and Google soon entered a fight for market share in this virtual world. In the present scenarios, salesforce is leading provider of cloud based CRM.

The Cloud appeared overnight, and the growth of PaaS (Platform-as-a-Service), SaaS, and IaaS (Infrastructure-as-a-Service) created a new industry with its branch, the cyber-security business.

Everyone was using the Cloud for entertainment, healthcare, finance, and government, and the rush to enter this new industry was picking up speed. A cultural revolution that had never previously occurred in human history was being caused by the Cloud. As knowledge boundaries were broken down and information became more widely available, remarkable things emerged from the most unlikely places. The world was shifting thanks to tiny startups. Wealth was being made in far-off places, and creativity and innovation were now the purviews of the individual.

Elastic Compute Cloud (EC2), which allowed users to rent virtual computers and utilise their programmes and applications online, was introduced by Amazon Web Services on August 25, 2006, and was swiftly followed by Google Docs Services. After a little startup company named Netflix introduced its video streaming platform a year later, binge-watching took off. IBM joined the bandwagon with SmartCloud, and Apple introduced iCloud. Oracle also introduced its Cloud at about the same time.

Cloud Computing in Salesforce

Salesforce is one of the leading providers of cloud-based SAAS services with its Specialization in CRM. Salesforce's cloud computing based CRM allows organizations to reach their customers and partners. Salesforce CRM helps organizations to scale up business. Salesforce's services allow businesses to use cloud technology to better connect with customers, partners and potential customers. The software has become the number one for customer success and helps businesses track customer activity, market to customers and many more services. Salesforce CRM provides a way to access an on-demand network. This network is flexible and provides dependable computing resources. Since the software does not need to be installed locally on the PC, it enables platform independence. As a result, it makes our business apps collaborative and mobile. Salesforce tutorial will help you learn Salesforce from scratch. 

Cloud computing Service models:

Now that you know what is cloud computing, let’s look at the different service models present in that domain. 

  1. Software as a service (SaaS),

  2. Platform as a service (PaaS),

  3. Infrastructure as a service (IaaS),

  4. Mobile “backed” as a service (MBaaS),

  5. Serverless computing or function-as-a-Service(FaaS)

Software as a Service (SaaS):

The software as a service (SaaS) paradigm gives consumers access to databases and application software. The platforms that run the applications are managed by cloud service providers. In this model, cloud providers install and run application software in the cloud. Cloud customers access the programme through cloud clients. SaaS is also frequently referred to as "on-demand software". It is typically paid on a pay-per-use basis or utilising a subscription fee. The platform and infrastructure of the cloud where an application is hosted are not managed by cloud users. This makes maintenance and supports more accessible. This is mainly because the cloud user no longer needs to install and run the application on their machines. The scalability of cloud apps sets them apart from other types of software. There is only one access point visible to the cloud user. This process is transparent to them. Cloud applications can be multitenant. This means that every machine may serve more than one cloud-user organisation.

Platform as a Service (PaaS):

Vendors of PaaS give application developers access to a development environment. The developers can create the following:

  1. Development Standards 

  2. Distribution Channels

  3. Payment Methods.

In the PaaS models, cloud service providers supply a computer platform, which typically consists of an operating system, an environment, a database, and a web server. Instead of directly purchasing and controlling the underlying hardware and software layers, application developers write and execute their programme on a cloud platform. Some PaaS allow the cloud customer to avoid manually allocating resources by automatically scaling the underlying resources to fit application demand.

Some suppliers of integration and data management also deploy PaaS-specific applications as data delivery mechanisms. iPaaS (Integration Platform as a Service) and dPaaS are two examples (Data Platform as a Service). Customers may create, carry out, and control integration flows with the help of iPaaS. Customers design and deploy integrations using the iPaaS integration approach without having to set up or maintain hardware or middleware. Data management and integration products are provided by dPaaS as a fully managed service. The PaaS provider oversees the creation and execution of programmes under the dPaaS model by creating data applications for the client, not the client. Users of dPaaS can access data using data visualization tools.

Infrastructure as a service (IaaS):

IaaS is an online service offering high-level APIs to separate low-level components from high-level components.

The virtual machines are operated as guests by a hypervisor. 

Hypervisors can support a vast number of virtual machines. The services provided by these hypervisors can be scaled up or down as per the requirement.

A single Linux kernel directly installed on the physical hardware powers each segregated partition where Linux containers operate. The fundamental Linux kernel technologies used to manage, secure, and isolate containers are groups and namespaces. Since there is no hypervisor overhead, containerization is more performant than virtualization.

IaaS cloud can provide a few types of extra resources as well, like:

  1. Disc image library

  2. Raw block storage

  3. File or object storage

  4. Firewalls

  5. Load balancers

  6. IP addresses

  7. Virtual local area networks

  8. Software bundles.

Mobile “Backed” as a service (MBaaS):

Web app and mobile app developers are given a way to connect their applications to cloud storage. Cloud computing services are exposed to their applications through application programming interfaces (APIs). They customised software development kits in the mobile "backend" as a service (m) model, also known as backend as a service (BaaS) (SDKs). A few services which it provides are:

  1. User management, 

  2. Push notifications, 

  3. Social networking service integration, and 

  4. Many more 

Although most BaaS businesses date from 2011 or later, this cloud computing paradigm is relatively new, and trends suggest that enterprise customers are increasingly adopting these services.

Serverless Computing or Function-as-a-Service(FaaS):

A cloud computing code execution model called serverless computing allows the cloud provider to fully manage to start and stop virtual machines as needed to serve requests. Requests are billed by an abstract measure of the resources needed to fulfil the request rather than by the number of virtual machines needed to complete each request per hour. It does not indeed require running programmes without servers, despite the name. Because no servers or virtual machines are required to be purchased or rented. 

Function as a Service (FaaS) uses serverless computing to enable the deployment of individual functions in the cloud that run in response to events. It is a service-hosted remote procedure call. Some people believe that serverless computing falls within the category of FaaS, while others use the phrases interchangeably.

Development Models:

A cloud computing infrastructure is deployed in the following forms:

1. Private Cloud:

Private cloud refers to cloud infrastructure managed or hosted exclusively for a single business, whether internally or by a third party. It takes a lot of work to virtualize the business environment for a private cloud project, and the firm must reconsider its resource allocation choices. 

Although it can increase revenue, every project stage brings security concerns that must be resolved. Self-managed data centers typically require a lot of capital. They require room, equipment, and environmental controls. Periodic maintenance on these assets necessitates extra capital expenditures. Users "still have to acquire, create, and operate them," thus they do not gain from less hands-on control, and they "[lack] the economic paradigm that makes cloud computing such an appealing concept," which is why they have drawn criticism.

2. Public Cloud:

When a cloud service is given through a public network like the Internet, it is referred to as "public" and can be either free or available with a paid membership.  Although there aren't many architectural distinctions between public- and private-cloud services, security issues become much more pressing when resources (such as apps, storage, and other resources) are shared by numerous clients. Most public cloud providers offer direct-connection services that let clients safely connect their old data centers to their cloud-based software.

3. Hybrid Cloud:

A hybrid cloud comprises a public cloud and a private environment. It is like on-premises resources that are separate but linked together. The capacity to connect collocation, managed, and dedicated services with cloud resources is another definition of a hybrid cloud. A hybrid cloud service, according to Gartner, is a cloud computing service that combines private, public, and community cloud services from several service providers. A hybrid cloud service transcends isolation and provider boundaries, making it impossible to categorize it as a single type. By customizing one cloud service with another, it is possible to increase either the capacity or the capability of the cloud service.

Security and Privacy in Cloud:

Because the service provider can at any time access the data stored in the cloud, cloud computing raises privacy issues. Information could be deleted or altered unintentionally or on purpose. Numerous cloud service providers allow information sharing without a warrant with other parties when necessary for maintaining law and order—their privacy policies, which consumers must accept before using cloud services, allow for such. Policies, laws, and end-user preferences for data storage are all potential solutions to the privacy problem. To prevent unauthorised access, users can encrypt data processed or stored on the cloud. Systems for managing identities can offer workable answers to issues with cloud computing privacy. These systems determine the quantity of data that is accessible to each entity and make a distinction between authorized and unauthorized users. The systems create and describe identities, keep track of activities, and delete identities no longer needed.

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Limitations of Cloud Computing

To keep their cloud environment secure, most cloud service providers implement appropriate security standards and industry certifications. However, keeping data and files essential to your organization in virtual data centers could expose you to dangers.

Typical Threats are:

  1. Data leakage
  2. Account or service hijacking
  3. Data loss
  4. Exposed APIs and interfaces
  5. Attacks that disrupt services
  6. Vulnerabilities in technology

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