Cloud Computing Courses

It represents computing services offered via the public internet from third-party suppliers. These services are made accessible to those who intend to use them or purchase them. Moreover, it can be either on-demand or free for customers. So, customers can pay for the cycles, storage, or bandwidth being consumed.

In other words, in Public Cloud, the cloud provider provides a public cloud environment model via the internet on a pay-per-use basis to suffice the needs of multiple businesses.

Examples include AWS, Sun Cloud, and Microsoft Azure

ii. Community Cloud:

In this type, cloud services are provided to a specific group of customers from those organisations with shared issues. The cloud computing infrastructure can be owned, functioned, and handled by a single or multiple communal organisations/third-party organisations or a combination of both. In other words, it is a private cloud functioning like a public cloud in a controlled environment.

iii. Private Cloud:

It is a cloud computing system wherein IT services are delivered for the dedicated use of an organisation across private IT facilities. In this model, a single organisation only runs the cloud infrastructure. It can be operated on-site or off-site through a third party or organisation.

Usually, private cloud terminologies are used interchangeably with the VPC (virtual private cloud). A VPC is a private cloud using the cloud computing infrastructure of any third-party cloud provider; the inner cloud is obligatory.

Benefits of using a private Cloud include higher customizability, more security, and improved control over the server. Although the private cloud is costlier than the public cloud, it is appropriate for large-scale businesses looking for higher security, privacy, and safety.

iv. Hybrid Cloud:

Hybrid cloud computing refers to a computer environment that assimilates a private and government cloud to share apps and information. This model lets organisations benefit from a government cloud's computer capacity and flexibility for critical and impervious computing functions. Also, hybrid cloud computing assures safety behind a commercial firewall for high-priority information and apps.

The hybrid cloud model is popular as one of the greatest flexible, scalable, and economic environments with superior cloud computing security.

Get to know the fundamental aspects of Cloud Computing from the below sections:

1. Shared resources, software, and information:

Shared resources:

Cloud services are like freeware. The resources in the Cloud would be available in the shared pool. If there is a requirement for any resources on a dynamic basis, then they request to share a pool, and specific resources will be delivered to the users.

Resources are present as clusters. The group of clusters is selected with the help of the Advanced Ant colony optimisation algorithm. Every node communicates using the heartbeat messaging, stating their distinct status to the neighbouring and primary nodes. Moreover, the users request data or applications from the servers. After the request is approved, it will be securely delivered through DMZ (De-militarized zone) techniques. Various algorithms work to provide data security in three layers.

The cloud computing network model allows access to computer resources and information from anywhere a connection is available. The shared pool of resources that Cloud computing offers includes networks, data storage space, computer processing power, and dedicated corporate and user applications.

Software:

Cloud computing characteristics incorporate the definition of cloud computing software. The establishment of remote services defines what software is in cloud computing. Cloud computing software represents an innovation from conventional local storage and computing. The reason is an enhancement in data, infrastructure, and applications. All of them are available over the Internet.

You can visualise the expediency of IT operations with an Internet connection and a browser. This defines software in cloud computing for typical cloud functions. When connected to decent Internet connectivity, the cloud computing software guarantees efficient distribution of cloud computing services. Consequently, it unlocks the likelihood of remote work and access anywhere, anytime.

List of functions that define Cloud computing software:

• Email
• Creating and testing apps
• Storage, backup, and data retrieval
• Software delivery on-demand
• Audio and video streaming

Information:

Before the advent of cloud computing, IT professionals and other individuals were wholly dependent on local hardware stores. It implies that all the data professionals will store their information and data over a physical device for quick and easy data access. But in that case, the access is restricted to a single physical location, and there are more chances of data loss if the physical data storage components get damaged.

On the other hand, when network connectivity is in cloud computing, the access is not limited to a single physical location, and there are reduced chances of data loss.

2. Ubiquitous network access:

Ubiquitous computing processes information which connects processors and devices to benefit from continuous availability. The purpose is to make processing and computing available anytime and anywhere, with the help of any connected device or sensitive edge device.

Ubiquitous computing can be a system that transmits information to another system seamlessly. For example, a fitness watch alerts when there is an incoming call from a cell phone and lets the call be completed from the watch. Another example can be systems that study and regulate relevant parameters like the thermostat (regulates temperature) or smart speakers (controls sound).

In Ubiquitous network access, you can perceive the use of cloud computing as versatile. Data available as images, documents, email, etc., can be transferred to the cloud. Subsequently, users can access information from a smartphone, tablet, desktop, or any other cloud computing network device anytime, anywhere.

3. Rapid elasticity:

Rapid elasticity denotes scalable provisioning or the potential to offer scalable services. Many Cloud Computing experts consider this type of scalable model as one of the five core facets of cloud computing.

Rapid elasticity helps to obtain scalable services and additional space in the use of cloud computing. Cloud computing services permit businesses and clients to carry out their work seamlessly. Rapid elasticity lets users and clients benefit from the scalable services of cloud computing.

This concept enables users automatically request extra space in the cloud. Since cloud computing services are already deployed, provisioning can be unified for the users and clients.

The key goal of Rapid elasticity in cloud computing is to benefit clients and users with practical computing.

4. Measured service:

Measure service implies that cloud services are supervised for quality and efficiency. The corresponding metrics can streamline decisions about which services to adopt and the perfect way to compute the pricing of services.

In other words, a measured service is the one in which the cloud provider measures or supervises the delivery of services. The reasons for measurement can be billing, productive use of resources, or comprehensive predictive planning.

The NIST refers to measured service as a setup wherein cloud systems may regulate a tenant or user’s use of resources by implementing a metering capability in the system. Moreover, in automated remote services, measurement tools will provide the provider and customer with an explanation of what is already used.

Measured service guarantees that although direct interaction exists for a service change, the service change is still recorded to let it negotiate or deal with a later date. For example, a service charge can be recorded at a later date in a billing cycle.

The three prominent models of Cloud services are SaaS (Software-as-a-Service), PaaS (Platform-as-a-Service), and IaaS (Infrastructure-as-a-Service). An organisation can use any one or all three as per the requirements. Two other models of Cloud services are Serverless computing and FaaS (Function-as-a-Service).

1. SaaS (Software-as-a-Service):

The saas in cloud computing is alternatively known as Cloud applications or Cloud-based software. It is application software being hosted in the Cloud. It can be accessed and used in any of the three ways. These ways are a web browser, an API integrating your mobile operating system or desktop, and a dedicated desktop client.

In the majority of the cases, SaaS users pay a monthly or yearly subscription fee. In some cases of saas in cloud computing, the ‘pay-as-you-go’ pricing option as per your actual usage is also available.

Apart from quick deployment, cost savings, and scalability, SaaS also provides the following benefits:

• Protection against data loss:

Since your application data is present in the cloud, you will not lose data of your application when the device breaks or crashes.

• Automatic upgrades:

As soon as the providers add new features, they get updated for you. No need to organise an on-premises upgrade.

• Versatility:

SaaS is the key delivery model for most commercial software prevalent today. But there are myriad—SaaS solutions available, ranging from focused industry applications to AI software to business software databases.

2. PaaS (Platform-as-a-Service)

The platform as a service in cloud computing (PaaS) facilitates software developers with an on-demand platform. This platform has a comprehensive software stack, hardware, infrastructure, and development tools. These tools enable applications' operation, development, and management without the expense, complexity, and rigidity of upholding that platform on-premises.

The PaaS in cloud computing allows the cloud provider to host everything, including networks, servers, operating system software, storage, databases, middleware, etc. They can host all of these in their data centre. Developers must choose from a menu to boot up environments and servers they require to operate, develop, test, set up, upkeep, update, and scale their applications.

Recently, PaaS in cloud computing is usually developed over containers representing a virtualised compute model. Containers will virtualise the operating system so that developers can bundle their applications with only the operating system services required to operate on any platform. During application packaging, there is no need for modification and middleware.

One of the famous paas examples in cloud computing is Red Hat OpenShift. It is developed based on Docker containers and Kubernetes.

3. IaaS (Infrastructure-as-a-Service):

The infrastructure as a service in cloud computing facilitates on-demand access to the core computing resources. These resources can be networking, physical and virtual servers, and storage on the Internet on a ‘pay-as-you-go’ basis.

IaaS in cloud computing allows end-users to scale and contract resources as required. So, it decreases the need for upfront capital expenses or needless on-premises or owned infrastructure. Also, it eliminates the need for overbuying resources to house periodic spikes in usage.

Contrasting PaaS and SaaS, IaaS lets the users employ the least possible control of computing resources. In the early 2010s, when IaaS was introduced, it was the famous cloud computing model. For several years after its launch, it remained the Cloud model for several types of workloads. But nowadays, the usage of PaaS and SaaS is progressing faster.

4. Serverless computing:

Also known as simply serverless, the Serverless cloud computing model unloads all the tasks related to backend infrastructure management. These tasks are patching, provisioning, scheduling, and scaling. Cloud providers will look after these tasks. Hence, developers can concentrate on the code and implement better business logic relevant to their applications.

This model operates application code according to a per-request basis only. It automatically scales the supporting infrastructure up according to the number of requests. Moreover, customers only have to pay for the resources used when the application operates. No charges for idle capacity.

5. FaaS (Function-as-a-Service):

FaaS is a subset of serverless computing. It enables developers to implement fragments of application code (known as functions) according to specific events. Tasks except the code include virtual machine operating system, physical hardware, and web server software management. The cloud provider automatically handles these tasks in real-time when the code runs. When the code execution finishes, these tasks will stop operating. The start and end of billing happen as per the execution of the code.

• Economical:

Cloud computing services discard the capital expenditure of purchasing software & hardware and setting up and operating an on-site data centre. A Cloud network includes continuous electricity for power and heat dissipation, racks of servers, and IT experts for dealing with the infrastructure.

Irrespective of the Cloud computing service model being used, organisations only have to pay for the computing resources used. No need to extend data centre capacity to administer unforeseen spikes in demand or business growth. Moreover, by implementing cloud computing services, they can appoint their IT staff to focus on more strategic tasks.

• Fast speed:

The biggest benefit of cloud computing is fast speed. The majority of the Cloud computing services provide on-demand and self-service. Hence, even a massive amount of computing resources can be handled in minutes. It only demands a few mouse clicks. So, businesses benefit from excellent flexibility and can enhance their work productivity.

• High efficiency:

Usually, on-site data centres need ample ‘racking and stacking’ that includes software patching, hardware setup, and other laborious IT management tasks. This is where the benefits of cloud computing are significantly noticeable. Cloud computing eliminates a lot of these tasks. Hence, IT teams can dedicate their time to accomplishing other significant business objectives.

Enterprises need not worry about the core infrastructure. They can develop new applications and quickly bring them into production.

• Performance:

Even the largest Cloud Computing services operate on a global network of secure data centres. These data centres are repeatedly upgraded to the newest generation of quick and efficient computing hardware. Compared to a single corporate data centre, it offers various benefits like enhanced economies of scale and low network latency for applications.

• Security:

Several Cloud providers present a broad collection of technologies, policies, and controls. As a result, there is an enhancement in the strength of data security in cloud computing. Hence, your data, apps, and infrastructure stay safe against impending threats.

Compared to enterprise data centres, Cloud computing security is stronger due to the high-level security mechanism that Cloud computing services implement.

• Reliability:

Cloud computing services make disaster recovery in cloud computing, data backup, and business continuity less expensive and easy to use. The reason is data can be mirrored at numerous redundant sites on the Cloud provider’s network.

• Flexibility:

The architecture of cloud computing lets enterprises and their users access Cloud services from any place with decent Internet connectivity. They can scale services economically and easily.

Instead of buying excess capacity that remains unused during low traffic, the elasticity of Cloud computing lets you scale the capacity according to the traffic. Also, you can benefit from the global network of your cloud provider to extend your applications to users all over the globe.

• Provides strategic value:

Cloud providers stay abreast with cutting-edge innovations and provide them as services to customers. So, enterprises can obtain more competitive benefits. Also, they can get a better return on investment than if they would have invested in soon-to-be outdated technologies.

• Less dependency on on-site IT staff:

With Cloud computing deployed, there is no need for on-site data centres. So, no on-site IT staff is required for supervising the data centres. By offering 99.99% uptime Service Level Agreements, Cloud service providers have removed the dependency on on-site IT staff. But you’ll need staff that knows how to manage Cloud resources, migrate to the cloud, and underwrite the latest DevOps requirements in your fresh deployment.

• Backup and disaster recovery:

The users need not buy new infrastructure. The reason is Cloud environments offer various methods to effortlessly set up backup and disaster recovery. The users can make their data redundant across various geographic areas. Moreover, they can leverage various cost and speed options for different levels of backups to tailor their disaster recovery plans.

• Continuous revolution:

Cloud offerings are constantly updated to be cheaper and faster. For instance, AWS EC2 instances have perceived several generational modifications over the years. Moreover, owing to the à la carte usage (which can be prepaid for short periods or fully on-demand), users can anytime upgrade to the latest instance types.

Cloud computing strives to offer new services constantly. The relevant examples can be the ability to work across various Cloud providers and enhanced support for Machine Learning. Consequently, users can easily access the newest advancement without huge initial overheads.

You can follow these steps to build a web application in the Cloud:

Step-1: Understanding the Infrastructure

The traditional infrastructure is supposed to be failure-proof and robust. But when using a Cloud infrastructure, app developers can expect resource failure. The reasons for failure can be server crashes, instability of AWS services, and network switches functioning inefficiently. Hence, it is important to defend the application from failure. You can do that with the next step.

Step-2: Design for Failure

The most suitable way to manage the unreliable Cloud infrastructure is to design considering the redundancy. Ascertain that all operational components of the application execute in a paired topology at least. So, it can be two web servers or two application logic layers, or mirrored database servers.

Once you have ascertained this, the next step is to scatter the redundant segments of the application. You can position them in various data centers or in the diverse region or position them such that any outage will not influence the working of the application.

Step-3: Estimate Load Variance

Since the applications are the fundamental customer interface, one must anticipate erratic loads. The underlying reasons are the number of customers is significantly growing and the customer use can differ as per the impulse of the hour. Hence, the solutions must be formulated such that they allow appending extra resources when required and dropping off them when traffic decreases.

To estimate load variance, you will need a database. The DBA installs MySQL, configures it, and connects it to the storage. Finally, an operations group will look after keeping the MySQL system up and running. It is essential to outspread your thinking beyond ‘cloud as infrastructure’ and perceive its true worth as ‘cloud as computing capability.

Understanding Cloud Computing

1. PaaS:

Platform as a Service (PaaS) deals with the core infrastructure like network, servers, storage, and databases. It looks after these aspects when organisations focus on supervising and setting up the applications. The cloud computing examples for platforms that provide a PaaS environment include Microsoft Azure, AWS Elastic Beanstalk, Apache Stratos, and Google App Engine.

2. SaaS:

SaaS (Software as a Service (SaaS)) allows hosting and supervising the software application. It focuses on security patching, software up-gradation, and fundamental infrastructure. It delivers comprehensive software apps on the Internet. This delivery is according to the demand and subscription to the particular service that is operated and managed by the cloud service provider.

The saas examples in cloud computing include Salesforce, Cisco WebEx, Microsoft Office 365, and Google Apps.

3. IaaS:

The iaas in cloud computing is an extensively used category of cloud computing service. This is why it is often visualised as basic cloud computing. It contains fundamental building blocks of the Cloud. It offers access to the networking functionalities like operating systems, virtual servers, and data storage.

The benefit of using ideas in cloud computing is that it permits rental services to data storage space and computers. Moreover, it helps in improving the reliability, scalability, flexibility, and control of IT services on the Internet. It accomplishes this by eliminating the hardware in the workplace.

A few cloud computing examples of IaaS include Microsoft Azure, Amazon Web Services (AWS), Google Compute Engine (GCE), and Cisco Metacloud.

4. Examples of Cloud Computing services include:

Here are the various examples of Cloud Computing services:

1) Gmail, Facebook, Dropbox:

Cloud Computing is extensively used for file storage. This is because it offers ease of backup. The files are automatically synchronised from the desktop. The Social Networking platform demands efficient hosting to administer and store the data in real-time. Cloud communication offers click-to-call potentials from social networking sites and easy access to Instant messaging systems.

2) Banking and Financial Services:

Consumers can store financial information on the database of Cloud Computing service providers. Also, they can store the tax records through online backup services.

3) Education:

Microsoft and Google offer different services free of cost to their students and staff in various learning organisations. For example, Google App Education (GAE) lets users make the most of their workspace to make teaching more engaging.

4) Health Care:

Cloud computing helps medical professionals host analytics and information and perform diagnostics remotely. Doctors across the globe can instantly access the same medical information for quick prescriptions.

5) Big data Analytics

Cloud computing helps data scientists analyse their data patterns, predictions, correlations, and predictions and enhance their decision-making strategy. Open source tools like Cassandra and Hadoop can help with such tasks.

Drawbacks to Cloud computing:

• It faces privacy and security and privacy issues when utilising services from third-party providers
• It faces the threat of downtime, which results in poor connectivity or Internet breakdown
• Cyber-attacks can influence the implementation of Cloud Computing service
• A vendor lock-in situation may arise in which a consumer desires to shift to another vendor’s services; however, they need to pay a substantial cost for this shift.

Although there are myriad benefits of Cloud Computing, it has certain limitations, as discussed below:

• Variable performance:

When working in a Cloud environment, your application runs on a server that simultaneously offers resources to several other businesses. Any DDOS attack or covetous behaviour on your Cloud computing platform can influence the overall performance of your shared resource.

• Prone to technical issues:

There are high risks of outages and other technical issues with Cloud technology. Even the renowned cloud service providers might perceive this trouble notwithstanding preserving the high maintenance standards.

• Downtime:

Your Cloud provider might suffer from poor Internet connectivity, power loss, service maintenance, etc.

• Odds of security threat in the Cloud:

Before implementing Cloud technology, keep in mind that you would be sharing your organisation’s sensitive info with a third-party type cloud computing service provider. This information may be susceptible to hackers.

• Depends on Internet connectivity:

Decent Internet connectivity is mandatory in cloud computing. It is impossible to access Cloud in the absence of an internet connection. No other way is available to assimilate data from Cloud.

• Lower Bandwidth:

Several cloud storage service providers restrict the bandwidth consumption of their users. If an organisation exceeds the specified allowance, extra charges can be significantly expensive.

• Limited flexibility and control:

The Cloud infrastructure is wholly owned, administered, and supervised by the respective service provider. So, it assigns minimal control over the customer. A Cloud provider's management policies and end-user licence agreement (EULA) may levy limits on what customers can accomplish with their deployments.

• Risk of data privacy:

Customers often fear for their data safety. With cloud, there remains an issue regarding data confidentiality or breach. Thus cloud providers must ensure confidentiality and security.

• Inadequate Support:

Cloud Computing companies are unable to offer adequate customer support. Furthermore, they anticipate their user to rely on online help or FAQs. This can be a challenging task for non-technical individuals.

Every organisation involved with Cloud computing must have a thorough knowledge of the types of cloud computing. The lack of understanding of the types of clouds in cloud computing can lead to incorrect implementation of the Cloud computing service.

Let’s check out the details of the three key types of cloud computing services:

1. Public cloud:

This service is open to all to store and access information through the Internet via the pay-per-usage method. In this form of Cloud computing service, computing resources are administered and executed by the Cloud Service Provider (CSP).

Examples of Public Cloud:

• Amazon elastic compute cloud (EC2)
• IBM SmartCloud Enterprise
• Microsoft, Google App Engine
• Windows Azure Services Platform

2. Private cloud:

Alternate names for Private clouds are internal cloud and corporate cloud. Private cloud computing is used by organisations to build and administer their own data centre in cloud computing either internally or through a third party. Moreover, private cloud computing can be deployed through Open Source tools like Eucalyptus and Openstack.

Depending on the management and location, the National Institute of Standards and Technology (NIST) categorises private cloud into two parts:

• On-premise private cloud
• Outsourced private cloud

3. Hybrid cloud:

The hybrid Cloud represents a blend of the private cloud and public cloud. It is partially secure since anyone can access services that are operating on the Public Cloud. On the other hand, only the organisation's users can access the services which are operating on a private cloud.

Examples of Hybrid Cloud:

• Office 365 (MS Office and OneDrive)
• Google Application Suite (Google Apps, Gmail, and Google Drive)
• Amazon Web Services

The online cloud computing courses are better than offline cloud computing courses based on the following points:

• Many leading organisations look for candidates with online certification in cloud computing and relevant training to ensure their requirements for filling a cloud-related job role are best fulfilled.
• The best cloud computing courses in online mode thoroughly train students on how to develop and manage whole Cloud computing systems. Also, they teach how to construct critical cloud computing security measures that prevent attacks from hackers.
• Some of the best cloud computing certification courses in online mode involve students working on many different cloud computing projects along with easy-to-understand cloud computing tutorials. Students can showcase project experience in their CV and online certification in cloud computing.
• Many organisations perceive hassle when finding proficient Cloud computing specialists. So, they insist on hiring candidates from online cloud computing certification courses to save time and effort. Therefore, it is recommended that one must first obtain the online cloud computing training certification.

Any cloud computing courses from any training institute will usually include the following modules:

• Definition of cloud computing
• Components of Cloud Computing
• Categorization of the various service types
• Drivers of Cloud Solutions
• Building Cloud Networks
• Handling cloud security
• Business Demands for Cloud Computing
• Deployment of software solutions and web applications
• Exploring Platform as a Service (PaaS)
• Exploiting Software as a Service (SaaS)
• Delivering Platform as a Service (PaaS)
• Deploying Infrastructure as a Service (IaaS)
• Evaluating the architecture
• Building a Business Case
• Migrating to the Cloud
• Emergent Trends and Practice

In 2022-23, we will witness rapid adaptation and growth of Cloud computing. The focus will be on the deployment of cloud computing platforms andCloud tools to enhance a specific function (for example shifting to Zoom meetings). More holistic strategies focused on corporate-level cloud migration.

As per the predictions from Gartner, the global expenditure on Cloud services is anticipated to reach over $482 billion in 2022, up from $313 billion in 2020. The availability of Cloud gaming platforms like Amazon Luna and Google's Stadia will perceive an increased amount of investment in 2022-23. Furthermore, we will observe the arrival of augmented reality and cloud virtual (AR/VR) that should facilitate enhanced use of cheaper and smaller headsets.

By 2022, India is expected to observe more than a million Cloud computing job roles. The reason is more organisations shift their operations to the Cloud infrastructure, as per a report by Great Learning.

Cloud computing has become the technology that nearly all organisations look for in recent years. The reason is it is easy, quick, and cost-effective. Note that the traditional computing approach is less cost-effective and time-consuming. Because Cloud computing technology aids organisations in extending their operations and enhancing their profits, there is accelerating demand for Cloud computing courses in India.

One of the prominent reasons behind the high demand for this course in India is that it would be a challenging technology to master in the future. Therefore, a lot of organisations migrate their operations to Cloud. The job roles like Cloud Architect, Cloud Infrastructure Engineer, Cloud Software Engineer, and Cloud Enterprise Architect are in huge demand in India. This is another reason for the rise in demand for Cloud computing courses in the country.

Many leading organisations in India prioritise hiring candidates who can look after data security in cloud computing for their business. Therefore, there is a continued rise in the demand for pursuing the course in India.

The starting salary of a Cloud Computing Specialist is ₹ 501K/year in India. And the average salary of a Cloud Computing Specialist is INR 4,00,238 per year in India.

Factors on which Cloud Computing Specialist salary in India depends:

The salary of a Cloud Computing Specialist in India can vary depending on diverse factors. In this section, we outline a few factors:

• Salary based on Employer
• Salary based on the job location
• Salary based on job role

1. Salary based on Employer:

Source: Indeed

2. Salary based on job location:

Highest paying cities in India for Cloud Computing Specialists:

Source: Indeed

3. Salary based on Job role:

Source: Payscale