Azure for Beginners - Full Course in 8 Hours

Learn about Microsoft Azure in this full course for beginners. You'll learn: Azure AD, Subscription, Resource Group, Network , Compute and Load Balancers, Storage Account, App Service, Azure with Docker Containers, and more

Azure for Beginners - Full Course in 8 Hours

1 - Azure AD, Subscription, Resource Group:

You’ll learn

•    Azure Beginners
•    Azure devops Beginners
•    Project management in Azure
•    A introduction to Azure Subscription Resource group and Resources

2 - Network , Compute and Load Balancers

You’ll learn:

•    Azure Beginners
•    Azure VNet and Compute
•    AzureLoad Balancer
•    Azure basics

3 - Storage Account

You’ll learn:

•    Azure Beginners
•    Cloud Computing Beginners
•    Azure Storage Account Beginners
•    Azure Fundamentals

4 - App Service

You’ll learn:

•    Azure Basics
•    Azure App Engine
•    Azure App Engine Basics
•    How to create an application using Azure App Engine

5 - Azure with Docker Containers

You’ll learn:

•    How to use Azure with containers
•    Basics of containers in Azure
•    Azure pipeline with Azure containers
•    Deploy containers into production

#azure #microsoftazure #cloud #cloudcomputing

Cloud Computing Explained for Beginners

What is Cloud Computing? Cloud Computing is a network of remote servers hosted on the internet for storing and retrieving data. Cloud computing is one of the most popular and widely used technologies in the world today. It allows users to access data and applications over the internet, without having to install or maintain any software. This means that cloud computing can be used for a variety of purposes, from storing personal files to working on corporate projects.

You may not always be aware of it, but you're enjoying the many fruits of the cloud just about every hour of every day. Many of the joys (and horrors) of modern life would be impossible without it.

Before we talk about what it does and where it's taking us, we should explain exactly what it is.

What is The Cloud?

The "cloud" is all about using other people's computers rather than your own. That's it. No, really.

Cloud providers run lots of compute servers (which are just computers that exist to "serve" applications and data in response to external requests), storage devices, and networking hardware. Whenever the impulse takes you, you can provision units of those servers, devices, and networking capacity for your own workloads.

When you add millions more users taken by similar impulses, you get the modern cloud.

For many – although not all – applications, there are enormous cost and performance benefits to be realized by deploying to a cloud. And countless applications – whether small, large or smokin' colossal – have found productive homes on one cloud platform or another.

So let's see how it all works and what you might be able to do with it.

Application Server Deployment Models

Over the decades, we've been through a number of models for running server workloads. In a way, all those changes have been the product of just two technologies:

• Networking protocols that permit communication between connected nodes
• Virtualization which permits fast, efficient, and cost-effective use of hardware resources for multiple and parallel uses

Networking, largely because it's now such a stable and well established technology, isn't something we'll focus on here. But we will get back to virtualization a bit later.

How Local Data Centers Work

In the old days, if you wanted to fire up a new server to perform a compute task, it was quite a process.

You would spend a week or so calculating how much compute power you'd need for your job, contact the sales reps at a few hardware vendors, wait for them to get back to you with bid tenders, and then compare the bids. Then, when you've selected one, you'd wait another couple of weeks for your new hardware to be delivered. Then you'd put all the pieces together, plug it all in, and start loading software.

The room where your servers ran would need a reliable and robust power supply and some kind of cooling system: like angry children, servers generate a great deal of heat but don't like being hot. You probably wouldn't want to do any other work in that room, since the noise of your servers' powerful internal cooling fans would be difficult to ignore.

While locally-deployed servers gave you all the direct, manual control over your hardware that you could need, it came at a cost.

For one thing, opportunities for infrastructure redundancy (and the reliability that comes with it) were limited. After all, even if you regularly backed up your data (and assuming your backups were reliable), they still wouldn't protect you from a facility-wide incident like a catastrophic fire.

You would also need to manage your own networking, something that could be particularly tricky – and risky – when remote clients required access from beyond your building.

By the way, don't be fooled by my misleading use of past tense here ("were limited," "backed up"). There are still plenty of workloads of all sizes happily spinning away in on-premises data centers. But the trend is, without question, headed in the other direction.

What is Virtualization?

As I hinted earlier, virtualization is the technology that, more than any other, defines the modern internet and the many services it enables.

At its core, virtualization is a clever software trick that lets you convince an operating system that it's all alone on a bare metal computer when it is, in fact, just one of many OSs sharing a single set of physical resources.

A virtual OS will be assigned space on a virtual storage disk, bandwidth through a virtual network interface, and memory from a virtual RAM module.

Here's why that's such a big deal. Suppose the storage disks on your server host have a total capacity of two terabytes and you've got 64GB of RAM. You might need 10GB of storage and 10GB of memory for the host OS (or, hypervisor as some virtualization hosts are called).

That leaves you a lot of room for your virtual operating system instances. You could easily fire up several virtual instances, each allocated enough resources to get their individual jobs done.

When a particular instance is no longer needed, you can shut it down, releasing its resources so they'll instantly be available for other instances performing other tasks.

But the real benefits come from the way virtualization can be so efficient with your resources. One instance could, say, be given RAM and storage that, later, proves insufficient. You can easily allocate more of each from the pool – often without even shutting your instance down. Similarly, you can reduce the allocation for an instance as its needs drop.

This takes all the guesswork out of server planning. You only need to purchase (or rent) generic hardware resources and assign them in incremental units as necessary. There's no longer any need to peer into the distant future as you try to anticipate what you'll be doing in five years. Five minutes is more than enough planning.

Now imagine all this happening on a much larger scale: Suppose you've got many thousands of servers running in a warehouse somewhere that are hosting workloads for thousands of customers. Perhaps one customer suddenly requests another terabyte of storage space.

Even if the disk that customer is currently using is maxed out, you can easily add another terabyte from some other disk, perhaps one plugged in a few hundred meters away on the other side of the warehouse. The customer will never know the difference, but the change can be virtually instant.

Cattle vs pets

Server virtualization has changed the way we look at computing and even at software development.

No longer is it so important to build configuration interfaces into your applications that'll allow you to tweak and fix things on the fly. It's often more effective for your developers and sysadmins to build a custom operating system image (nearly always Linux-based) with all the software pre-set. You can then launch new virtual instances based on your image whenever an update is needed.

If something goes wrong or you need to apply a change, you simply create a new image, shut down your instance, and then replace it with an instance running your new image.

Effectively, you're treating your virtual servers the way a dairy farmer treats cows: when the time comes (as it inevitably will), you remove an old or sick cow, and then bring in another (younger) one to replace it.

Anyone who's ever been involved with legacy server room administration would gasp at such a thought! Our old physical machines would be treated like beloved pets. At the slightest sign of distress, we'd be standing, concerned, at its side, trying to diagnose what the problem was and how it can be fixed.

If all else failed, we'd be forced to reboot the server, hoping against hope that it came back up again. If even that wasn't enough, we'd give in and replace the hardware.

But the modularity we get from virtualization gives us all kinds of new flexibility. Now that hardware considerations have been largely abstracted out of the way, our main focus is on software (whether entire operating systems or individual applications). And software, thanks to scripting languages, can be automated.

So using orchestration tools like Ansible, Terraform, and Puppet, you can automate the creation,  provisioning, and full life cycle management of application service instances. Even error handling can be built into your orchestration, so your applications could be designed to magically fix their own problems.

Virtual machines vs containers

Virtual instances come in two flavors. Virtual machines (or VMs) are complete operating systems that run on top of – but to some degree independent of – the host machine.

This is the kind of virtualization that uses a hypervisor to administrate the access each VM gets to the underlying hardware resources, but such VMs are generally left to live whichever way they choose.

Examples of hypervisor environments include the open source Xen project, VMware ESXi, Oracle's VirtualBox, and Microsoft Hypver-V.

Containers, on the other hand, will share not only hardware, but also their host operating system's software kernel. This makes container instances much faster and more lightweight (since their images don't need to include a kernel).

Not only does this mean that containers can launch nearly instantly, but that their file systems can be transported between hosts and shared. Portability means that instance environments can be reliably reproduced anywhere, making collaboration and automated deployment not only possible, but easy.

Examples of container technologies include LXD and Docker. And enterprise container implementations include Google's open source Kubernetes orchestration system.

How Public Clouds Work

Public cloud platforms have elevated the abstraction and dynamic allocation of compute resources into an art form. The big cloud providers leverage vast networks of hundreds of thousands of servers and unfathomable numbers of storage devices spread across data centers around the world.

Anyone, anywhere, can create a user account with a provider, request an instance using a custom-defined capacity, and have a fully-functioning and public-facing web server running within a couple of minutes. And since you only pay for what you use, your charges will closely reflect your real-world needs.

A web server I run on Amazon Web Services (AWS) to host two or three of my moderately busy websites costs me only $50 a year or so. And it has enough power left over to handle quite a bit more traffic.

The AWS resources used by the video streaming company Netflix will probably cost a big more – undoubtedly in the millions of dollars per year. But they clearly think they're getting a good deal and prefer using AWS over hosting their infrastructure themselves.

Just who are all those public cloud providers, I'm sure you're asking? Well that conversation must begin (and, often, end) with AWS. They're the elephant in every room. The millions of workloads running within Amazon's enormous and ubiquitous data centers, along with their frantic pace of innovation, make them the player to beat in this race. And that's not even considering the billions of dollars in net profits they pocket each quarter.

At this point, the only serious competition to AWS are Microsoft's Azure which is doing a pretty good job keeping up with service categories and, by all accounts, is making good money in the process. There's also Alibaba Cloud which is mostly focused on the Asian market at this point. Google Cloud is in the game, but appears to be focusing on a narrower set of services where they can realistically compete.

As the barrier to entry in the market is formidable, there are only a few others who are getting noticed, including Oracle Cloud, IBM Cloud and, with a welcome naming convention, Digital Ocean.

How Private Clouds Work

Cloud goodness can also be had closer to home, if that's what you're after. There's nothing stopping you from building your own cloud environments on infrastructure located within your own data center.

In fact, there are plenty of mature software packages that'll handle the process for you. Prominent among those are the open source OpenStack (openstack.org) and VMware's vSphere (vmware.com/products/vsphere.html) environments.

Building and running a cloud is a very complicated process and not for the hobbyist or faint of heart. And I wouldn't try downloading and testing out OpenStack – even just to experiment – unless you've got a fast and powerful workstation to act as your cloud hosts and at least a couple of machines for nodes.

You can also have it both ways by maintaining certain operations close to home while outsourcing other operations in the cloud. This is called a hybrid cloud deployment.

Perhaps, as an example, regulatory restrictions require you to keep a backend database of sensitive customer health information within the four walls of your own operation, but you'd like your public-facing web servers to run in a public cloud. It's possible to connect resources from one domain (say, AWS) to another (your data center) to create just such an arrangement.

In fact, there are ways to closely integrate your local and cloud resources. The VMware Cloud on AWS service makes it (relatively) easy to use VMware infrastructure deployed locally to seamlessly manage AWS resources (aws.amazon.com/vmware).

The Value of Outsourcing Your Compute Operations

Why might you want to migrate workloads to the cloud? You might end up saving a lot of money. So there's that. Of course, it's not going to work out that way for every deployment, but there do seem to be a lot of use cases where it does.

To help you make informed decisions, cloud platforms often provide sophisticated calculators for you to compare the costs of running an application locally as opposed to what it would cost in the cloud. The AWS version of that is here: aws.amazon.com/tco-calculator

Part of the pricing calculus is the way you pay. The traditional on-premises model involved large up-front investments for expensive server hardware that you hoped would deliver enough value over the next five to ten years to justify the purchase. These investments are known as capital expenses ("Capex").

Cloud services, on the other hand, are billed incrementally (by the hour, or even minute) according to the number of service units you actually consume. This is normally classified as operating expenses (Opex).

Using the Opex model, if you need to run a server workload only once every few days for five minutes at a time in response to an external triggering event, you can automate the use of a "serverless" workload (using a service like Amazon's Lambda) to run only when needed. Total costs: perhaps only a few pennies a month to cover those minutes the service is actually running.

Besides cost considerations, there's a lot more going on in the cloud world that should attract your consideration. You've already seen how the lag time between the decision to deploy a new server on-premises and its actual deployment (weeks or months) compares to a similar decision/deployment process in a public cloud (a few minutes). But large cloud providers are also positioned to deliver environments that are significantly more secure and reliable.

As an example, you may remember our story about the DDoS attack from my article on Understanding Digital Security. That was the incident where the equivalent of 380,000 PDF books worth of data were used to bombard an AWS-hosted web service each second...and the service survived. Are you confident you could do that yourself?

And how about reliability through redundancy? Would your on-premises infrastructure survive a catastrophic loss of your premises? Even if you did the right thing and maintained off-site backups, how long would it take you to apply them to rebuilt, network-connected, and functioning hardware?

The big cloud platforms run data centers across physically distant locations around the world. They make it easy (and in some cases unavoidable) to replicate your data and applications in multiple locations so that, even if one data center goes down, the others will be fine. Can you reproduce that?

Cloud providers also manage content distribution networks (CDNs) allowing you to expose cached copies of frequently-accessed data at edge locations near to wherever on earth your clients live. This greatly reduces latency, improving the user experience your customers will get. Is that something you can do on your own?

One more thought. Most of the big investments into new IT technologies these days are being plowed into cloud ecosystems. That's partly because the big cloud providers are generating cash far faster than they can hope to spend it. But it's also because they're involved in a live-or-die race to capture new segments of the infrastructure market before the competitions claims them.

The result is that the sheer rate of innovation in the cloud is staggering. I earn a living keeping a close eye on AWS, and even I regularly miss new product announcements.

One of the reasons I avoid including screenshots of the AWS management console in my books and video courses is because their console is updated so often, the images will often be out-of-date before the book hits the street.

In some cases, this might mean that local deployments will run at a built-in disadvantage simply because they won't have access to the equivalent cutting edge technologies.

The Risks of Outsourcing Your Compute Operations

Having said all that, as with most things in life, choosing between cloud and local isn't always going to be as easy as I may have made it sound.

There may still be, for instance, laws and rules forcing you to keep your data local. There will also be cases where the math just doesn't work out: sometimes it really is cheaper to do things in your own data center.

You should also worry about platform lock-in. The learning curve necessary before you'll be ready to launch complex, multi-tier cloud deployments isn't trivial. And you can be sure that the way it works on AWS, probably won't be quite the same as what's happening on MS Azure. The knowledge investment you'll need to make once you make your choice will probably be expensive.

But what happens to that investment if the provider's policies suddenly change in a way that forces you off the platform? Or if they actually go out of business (could happen: Kodak, Blockbuster Video, and Palm were once big, too)?

And what about getting locked out of your account for some reason? How hard would it be for you to retool and reload everything somewhere else?

Just think ahead and make sure you're making a rational choice.

Thank you for reading!

Original article source at https://www.freecodecamp.org

#cloud #cloudcomputing

Google Cloud Platform for Beginners - Full Course in 10 Hours

This Google Could Platform full course will give you an introduction to Google Cloud Platform and will help you understand various important concepts that concern Cloud Computing and Google Cloud Platform with practical implementation

Google Cloud Platform Full Course | Google Cloud Platform Tutorial 

This Edureka video on 'Google Could Platform Full Course'' will give you an introduction to Google Cloud Platform and will help you understand various important concepts that concern Cloud Computing and Google Cloud Platform with practical implementation. Below are the topics covered in this Google Cloud Platform Tutorial:

• Introduction to google cloud platform
• How to create a GCP Account
• GCP Compute Services
• GCP Hybrid and MultiCLoud Services
• GCP Storage Services
• GCP Databases services
• GCP Networking Services
• GCP Security Services
• GCP Machine Learning Services
• GCP Pricing
• GCP Projects
• GCP Certifications 
• GCP Interview Q and A

#googlecloud #cloud #gcp #cloudcomputing 

Learn Microsoft Azure - Full Course in 12 Hours

Azure Full Course - 12 Hours | Learn Microsoft Azure | Azure Tutorial For Beginners

This Edureka Azure Full Course video will help you understand and learn Azure & its services in detail. This Azure Tutorial is ideal for both beginners as well as professionals who want to master Azure services.

#azure #cloud #cloudcomputing

AWS for Beginners - Full Course in 12 Hours

This AWS tutorial for beginners will help you understand what AWS is (Amazon Web Services), how did AWS become so successful, the services that AWS provides (AWS EC2, Amazon Elastic Beanstalk, Amazon Lightsail, Amazon Lambda, Amazon S3, Amazon redshift, amazon ECS, amazon route 53, amazon vpc, AWS CloudFront, AWS Pagemaker, AWS autoscaling, and AWS elastic beanstalk), the future of AWS and a demonstration on deploying, in the end, we'll also be discussing AWS certification and AWS interview questions for beginners and advanced level. This AWS tutorial video is suitable for those individuals who aspire to become AWS Certified Solution Architects. However, let's move ahead and understand what AWS actually is and what services AWS provides to an organization.

AWS Full Course | AWS Tutorial For Beginners | AWS Training For Beginners

The below topics are covered in this AWS tutorial:

• What is AWS?
• AWS Tutorial
• AWS EC2
• AWS Lambda
• AWS S3
• AWS IAM
• AWS cloud formation
• AWS ECS
• AWS route 53
• AWS Elastic beanstalk
• AWS VPC
• AWS SageMaker
• AWS CloudFront
• AWS Autoscaling
• AWS Redshift
• AWS vs. Azure
• AWS vs. GCP
• AWS vs. Azure vs. GCP
• Kubernetes on AWS
• How to become a solution architect
• AWS Interview Questions -Part 1
• AWS Interview Questions -Part 2

What is AWS?

Amazon web service is an online platform that provides scalable and cost-effective cloud computing solutions. AWS is a broadly adopted cloud platform that offers several on-demand operations, like compute power, database storage, content delivery, etc., to help corporates scale and grow.

AWS Services

Amazon has many services for cloud applications. Let us list down a few key services of the AWS ecosystem and briefly describe how developers use them in their business.
Amazon has a list of services:
✅Compute service
✅Storage
✅Database
✅Networking and delivery of content
✅Security tools
✅Developer tools
✅Management tools

#aws #amazonwebservices #cloud #cloudcomputing

AWS Training for Beginners - Full Course

AWS Full Course | AWS Tutorial For Beginners | AWS Training For Beginners

This AWS tutorial for beginners will help you understand what AWS is (Amazon Web Services), how did AWS become so successful, the services that AWS provides (AWS EC2, Amazon Elastic Beanstalk, Amazon Lightsail, Amazon Lambda, Amazon S3, Amazon redshift, amazon ECS, amazon route 53, amazon vpc, AWS CloudFront, AWS Pagemaker, AWS autoscaling, and AWS elastic beanstalk), the future of AWS and a demonstration on deploying, in the end, we’ll also be discussing AWS certification and AWS interview questions for beginners and advanced level. This AWS tutorial video is suitable for those individuals who aspire to become AWS Certified Solution Architects. However, let's move ahead and understand what AWS actually is and what services AWS provides to an organization.

The below topics are covered in this AWS tutorial:

• What is AWS?
• AWS Tutorial
• AWS EC2
• AWS Lambda
• AWS S3
• AWS IAM
• AWS cloud formation
• AWS ECS
• AWS route 53
• AWS Elastic beanstalk
• AWS VPC
• AWS SageMaker
• AWS CloudFront
• AWS Autoscaling
• 0AWS Redshift
• AWS vs. Azure
• AWS vs. GCP
• AWS vs. Azure vs. GCP
• Kubernetes on AWS
• How to become a solution architect
• AWS Interview Questions -Part 1
• AWS Interview Questions -Part 2

What is AWS?

Amazon web service is an online platform that provides scalable and cost-effective cloud computing solutions. AWS is a broadly adopted cloud platform that offers several on-demand operations, like compute power, database storage, content delivery, etc., to help corporates scale and grow.

AWS Services
Amazon has many services for cloud applications. Let us list down a few key services of the AWS ecosystem and briefly describe how developers use them in their business.
Amazon has a list of services:
 

• ✅Compute service
• ✅Storage
• ✅Database
• ✅Networking and delivery of content
• ✅Security tools
• ✅Developer tools
• ✅Management tools

#aws #amazonwebservices #programming #developer #softwaredeveloper #computerscience #cloud #cloudcomputing

What is Cloud Computing?

In this tutorial, you'll learn about what cloud computing is, its types and deployment models.

What is Cloud Computing?

Cloud computing is on-demand delivery of IT resources and computing services over the Internet, such as servers, storage, databases, networking, software, analytics, and more.

After Cloud

Types of Cloud Computing

Service Models

Infrastructure as a service

• Provides whole infrastructure of a computer as a service.
• In this, we get complete access to the computer OS.
• This eliminates the need for every organization to maintain the IT infrastructure.

Platform as a Service

• This provides the development and deployment tools required to develop applications.
• We need not have access to whole OS.

Software as a Service

• This is a way of delivering applications/software over the Internet as a service.
• Instead of installing and maintaining software, you can simply access it via the Internet. This frees you from complex software and hardware management.

Deployments Models

Public Cloud

• This provides a shared platform that is accessible to the general public through an Internet connection.
• If we have a valid billing agreement with CSP(Cloud Service Provider), then we can use their services.

Private Cloud

• In this, the infrastructure is dedicated to a single organization.
• This is also known as an internal cloud or corporate cloud.

Hybrid Cloud

• A hybrid cloud is the combination of both public and private cloud deployment models. 

To illustrate the differences between public and private cloud deployment models, please see the diagram below:

Original article source at https://www.c-sharpcorner.com

#cloud #cloudcomputing

Learn AWS for Beginners - Full Course

AWS Full Course | AWS Tutorial For Beginners | AWS Training For Beginners

This AWS tutorial for beginners will help you understand what is AWS (Amazon Web Services), how did AWS become so successful, the services that AWS provides (AWS EC2, Amazon Elastic Beanstalk, Amazon Lightsail, Amazon Lambda, Amazon S3, Amazon redshift, amazon ECS, amazon route 53, amazon vpc, AWS CloudFront, AWS sagemaker, AWS autoscaling, and AWS elastic beanstalk), the future of AWS and a demonstration on deploying, in the end, we’ll also be discussing AWS certification and AWS interview questions for beginners and advanced level. This AWS tutorial video is suitable for those individuals who aspire to become AWS Certified Solution Architects. However, let move ahead and understand what AWS actually is and what are the services that AWS provides to an organization.

The below topics are covered in this AWS tutorial:

• What is AWS?
• AWS Tutorial
• AWS EC2
• AWS Lambda
• AWS S3
• AWS IAM
• AWS cloud formation
• AWS ECS
• AWS route 53
• AWS Elastic beanstalk
• AWS VPC
• AWS SageMaker
• AWS CloudFront
• AWS Autoscaling
• 0AWS Redshift
• AWS vs Azure
• AWS vs GCP
• AWS vs Azure vs GCP
• Kubernetes on AWS
• How to become a solution architect
• AWS Interview questions -Part 1
• AWS Interview questions -Part 2

What is AWS?

Amazon web service is an online platform that provides scalable and cost-effective cloud computing solutions. AWS is a broadly adopted cloud platform that offers several on-demand operations like compute power, database storage, content delivery, etc., to help corporates scale and grow.

AWS Services

Amazon has many services for cloud applications. Let us list down a few key services of the AWS ecosystem and a brief description of how developers use them in their business.
Amazon has a list of services:

• ✅Compute service
• ✅Storage
• ✅Database
• ✅Networking and delivery of content
• ✅Security tools
• ✅Developer tools
• ✅Management tools

#aws #cloud #cloudcomputing #amazonwebservices

Create Serverless Logic with Azure Functions

In this tutorial, you'll learn how to create Serverless Logic with Azure Functions. The Serverless computing is a great option for hosting business logic code in the cloud. With serverless offers such as Azure Functions, you can write your business logic in the language of your choice.

What is Serverless Computing?

You can think of serverless computing as a function as a service, or a microservice that is hosted on a cloud platform.

In this setup, your business logic runs as functions, and you do not have to manually create or scale infrastructure. The cloud platform (Microsoft Azure in this case) manages the infrastructure. This implies that your app is automatically scaled out or down depending on the load.

Microsoft Azure has several ways to build this sort of architecture. The two most common approaches are Azure Logic Apps and Azure Functions, which we will focus on in this tutorial.

What are Azure Functions?

Azure functions are a serverless application platform. It enables developers to host business logic that can be executed without provisioning infrastructure.

Azure functions provide intrinsic scalability, and users are charged only for the resources that they use. It's also important to note that you can write your function code in the language of your choice, including C#, F#, JavaScript, Python and PowerShell Core.

Support for package managers like NuGet and NPM is also included, so you can use popular libraries in your business logic.

By the end of this tutorial, you will be able to:

• Create an Azure function app in the Azure portal.
• Exercise a function using triggers.
• Monitor and test your Azure function from the Azure portal.

Prerequisites

You will need a valid and active Microsoft Azure account to follow along with this tutorial. You can use either:

• Free Azure Trial: With this option, you will start with $200 Azure credit and will have 30 days to use it, in addition to free services.
• Azure for Students: This offer is available for students only. With this option, you will start with $100 Azure credit with no credit card required and access to popular services for free whilst you have your credit.

Step 1 – Create Your Azure Function App

To host business logic that can execute without provisioning infrastructure, you need to create your Azure Function app.

After you've created a valid and active Microsoft Azure account, you will then navigate to the Azure portal.

The User Interface of the Microsoft Azure portal

Click the Create a resource button.

Menu showing "Function App" option

In the menu, you will see that Function App appears. Click the Create button to create a function app. You will then see the Create Function App pane.

If the Function App button does not appear, select Compute in the Categories list and then select Function App in the pane.

Enter details for the function app

At this point, enter the project details on the Basics tab before clicking the Review + create button.

The Subscription option may differ for you. It will depend on the Azure subscription you have available.

For the Resource group option, select a pre-created one if you are familiar with Azure and have one created. Else, create a new one using the Create new button.

A resource group simply implies grouping together similar services on your Azure account, so it makes it easier to manage.

For the Function App name option, enter a globally unique app name, which becomes part of the base URL of your service. Mine is named salim-freeCodeCamp-functions.

For the Publish option, select Code.

For the Runtime Slack option, select Node.js which is the language we use to implement the function examples in this tutorial. Leave the Version option as default.

Fill in the Region option with a geographical location closest to where you are. A region is a set of physical data centers that serve as servers. Since, I am in based in Nigeria, I selected South Africa North.

For the Operating System, it's been recommended for you based on your selection of runtime.

For the Plan option, select Consumption (Serverless). The plan you choose dictates how your app scales, what features are enabled, and how it is priced.

At this point, you can then click the Review + create button.

The validation and deployment process usually takes three to five minutes, give or take. Once the validation and deployment processes are complete for the Azure Function, you can then verify that your Azure function app is running.

Step 2 – Verify That Your Azure Function App is Running

When the deployment process is completed, select Go to resource. The Function App pane for your function will appear. In the Essentials section, select the URL link to open it in a browser.

The URL takes the look shown here

A default Azure web page will appear with a message that your Functions app is up and running.

Step 3 – Run Your Code On-Demand with Azure Functions

Now that you have created a function app, you will build, configure, and execute the function. To do these things, you need to understand two concepts – Triggers and Bindings.

Azure Functions are event-driven, so they run in response to an event. The event that starts a function is called a trigger, and a function must be configured with exactly one trigger.

Azure supports triggers for a range of services including:

• Blob Storage: Starts a function when a new or updated blob is detected.
• HTTP: Starts a function with an HTTP request.
• Timer: Starts a function on a schedule.
• Event Grid: Starts a function when an event is received from Event Grid.
• Microsoft Graph Events: Starts a function in response to an incoming webhook from the Microsoft Graph. Each instance of this trigger can react to one Microsoft Graph resource type.

A binding, on the other hand, is a declarative way to connect data and services to your function. Bindings interact with various data sources, which helps make sure you don't have to write the code in your function to connect to data sources and manage connections. The platform takes care of that complexity for you as part of the binding code.

Each binding has a direction – your code reads data from input bindings and writes data to output bindings. Each function can have zero or more bindings to manage the input and output data processed by the function.

In all, a trigger is a type of input binding that can initiate execution of some code. Microsoft Azure provides many bindings to connect to different storage and messaging services.

To run your code on-demand on Azure Functions, you must create your function to run your code within the function app using the predefined template.  

To do this, click the Function tag on the menu bar to the left of your function app's home page.

Functions tag on menu bar

Then click the + Create button to create the function to be used using the templates.

Create template button

Whilst leaving everything else as its default settings, you will select the Azure Queue Storage trigger template for this tutorial. The trigger will be run whenever a message is added to a specified Azure storage queue.

Click Create to create the function.

When you create a function from a template, several files are created, including a configuration file, function.json, and a source code file, index.js. Navigate to the Code + Test button on the left.  Select the function.json file in the dropdown. The code will take the form shown below:

Replace that code with the code in the block below:

{
  "bindings": [
    {
      "name": "order",
      "type": "queueTrigger",
      "direction": "in",
      "queueName": "myqueue-items",
      "connection": "MY_STORAGE_ACCT_APP_SETTING"
    },
    {
      "name": "$return",
      "type": "table",
      "direction": "out",
      "tableName": "outTable",
      "connection": "MY_TABLE_STORAGE_ACCT_APP_SETTING"
    }
  ]
}

At its core, this block of code simply implies that the function will be triggered when a message is added to the queue that's named myqueue-items and the return value will be run into the outTable.

Save and then Test/Run the function.

Upon clicking the Test/Run button, you will see the page shown below.

Leave the key as the default host key but edit the body. Change it to the following input:

{
	"name": Azure
}

On running, you will see this output:

This implies that your function runs well as the result automatically appears in the Output tab. The image above is blank because there is in fact no business logic added to the function.

How to test your Azure function

In general, there are two ways to test your Azure function – manually and in the Azure portal.

What you just did is through the Azure portal. You can start a function manually by triggering the configured trigger.

For instance, if you're using an HTTP trigger, you can use a tool, such as Postman or cURL, to initiate an HTTP request to your function endpoint URL, which is available from the function definition (Get function URL).

Conclusion

In this tutorial, you have seen that serverless computing is a great option for hosting business logic code in the cloud. You have seen that with serverless offers such as Azure Functions, you can write your business logic in the language of your choice.

Also, it is important to note that not only does the use of serverless computing solutions avoid the over-allocation of infrastructure (because they can be created and destroyed on demand), but they are also event driven. Event driven in the sense that they run only in response to an event (called a 'trigger'), such as a message being added to a queue, or receiving an HTTP request.

Original article source at https://www.freecodecamp.org

#serverless #azure #cloud #cloudcomputing 

Cloud Computing in Healthcare: Benefits and Challenges

In this article, we will learn about 5 Advantages of Cloud Computing in Healthcare. The ascendance of Cloud Computing is new to none. It has grown in leaps and bounds. With this growth, Cloud Computing has impacted several domains. In this article, we will discuss how Cloud Computing has impacted the Healthcare domain, and in the process, we will learn the advantages of Cloud Computing in Healthcare.

Global Impact of Cloud Computing on Healthcare

Cloud computing is emerging at a rapid pace, and the demand for it in the healthcare industry is on the rise. According to the article by Business Wire, the global cloud computing market in healthcare organizations is expected to rise by USD 25.54 billion during 2020-2024 at a CAGR of 23% approximately. 

The latest market research report by Technavio says that the market impact of cloud computing has significantly improved, and new job opportunities are created for healthcare professionals due to the COVID-19 pandemic. This has impacted the economic growth of healthcare industries globally. 

Without much ado, let’s discuss 5 key advantages of cloud computing in healthcare.

Collaboration

Collaboration may sound like a simple requirement but is an important one. Healthcare is one domain where a minute’s delay could be a cause of someone’s life. Hence, if we can have a system where we can store data centrally, that would be a great boon for all. What this would do is, it would make it easier to access a patient’s files across the globe with ease. In addition, this would give doctors the luxury and time to treat patients in need and dire circumstances.

Through cloud platforms, we can have a centralized system where the data management is quite simple. Storage becomes cheaper. You can get different options to access the patient data, providing you remote accessibility from anywhere in the world. With a vast cloud network, it can be accessed across the globe at a faster rate. Hence, Cloud Computing is easily a great boon to healthcare when it comes to collaboration.

Use of Big Data to Treat Patients

Big Data has taken the world by storm, and people have started understanding the importance of data in shaping their decisions. With Big Data, it is easier to understand information and narrow it down to solve different human problems. However, Big Data these days, is not only limited to solving business problems. This data can also be used to solve problems that concern treating patients. With all Cloud Computing abilities to host a huge amount of data, you can narrow down the data using Big Data on Cloud and can process it to understand patient problems quickly and find a solution to the patient’s illness.

Medical Research

We have just seen the power of what Big Data Analytics can do to manage and sort large amounts of data. If we step into the world of data analysis, there is a lot more we can do with Analytics and Cloud Computing combined for the medical world. With Cloud Computing, the first thing that helps analysis, is the ease with which we can access data needed for data analysis.

The next thing Cloud Computing does for us is, provide various services that help us implement Data Analysis on the data. There are dedicated services that ensure Data Science and Machine Learning implementation for research. It also provides the infrastructure to host these applications on Cloud, which can also be accessed across the globe.

We have seen the impact of COVID-19 across the globe. Cloud Computing, like many other types of research to study human bodies, and to find vaccines for some diseases, has helped in research for finding a cure for the novel coronavirus.

Remote Patient Care

IoT is another wonder that has influenced the technology market and the world by its presence. With IoT or the Internet of Things as we call it, it is easy to collect data using sensors and monitor various activities in real-time. With the use of IoT, we can have an impact on the healthcare industry. Let us try and understand how.

In the healthcare domain, it is important to monitor the health of the patients, and get constant data. With the Internet of Things, getting this data becomes easier, since we can connect the world using sensors. Now you can monitor a person’s pulse, using sensors.

A diabetic individual who needs to test his or her sugar levels every fortnight, may not need to visit the hospital each time. We can easily use machines that can be made smart enough with the help of IoT. These machines can then send the data to the doctors. As a patient, you can check your sugar levels at home and still ensure that your reports reach the hospitals on time.

In times like COVID-19, when we cannot filter out medical concerns, monitoring patients while at home can help save the effort of travelling to a hospital and yet be monitored by a doctor using IoT. This will work wonders when it comes to following social distancing across the globe. Forget hospitals, there are plenty of devices available these days that work for individual fitness and are powered by IoT.

You must be wondering, how does Cloud Computing contribute here? Majority of these IoT devices backup their data using Cloud Computing. Cloud Computing, just like Machine Learning and Data Science, provides plenty of services that help set up, maintain and monitor IoT devices across the globe, making it easy to monitor numerous activities across the globe.

Data Storage Scalability and Cost

We have discussed the importance of storing data on Cloud. What Cloud also does well, is it gives you options to store data. You can store data in different formats. Be it files that are structured and unstructured. What cloud does best, is it gives you the ability to store data in digital forms. What this means is that the data is available whenever we need it, and also across the globe. Also, you don’t have to keep physical copies of this data in paper forms.

If the hospital keeps digital records, they can fire up a query and tell you instantly about your previous visits and treatment progress. Having electronic medical records will help you access the data through mobile apps or any other device around the world. Suppose a natural disaster occurred at your place or some flu is spreading widely. The patients can quickly consult doctors through their smart devices. The doctors can track the patient’s condition and check if there is any medical condition through the previously stored records. This will help the doctors to reach out to other nearer doctors if there is an emergency. Hence, storing data is a significant contribution that Cloud Computing offers in the Healthcare domain.

We talked about Big Data, Machine Learning, IoT, and the data it generates. To store this data, we need servers that can handle this growing traffic or needs of infrastructure. All this storage, Data Scaling or the high-end domains we discussed, can be made available at a cheaper price to the world. With Cloud Computing, you have metered usage of resources. That means you do not have to buy these resources. Instead, you are renting these resources. You will be paying only for the resources you have used, and only for the time duration you have used these resources for. Some these services charge on a per second or a per minute basis. If you are using these resources for a certain number of minutes or seconds, then you will be charged only for those seconds or minutes. That is how Cloud Computing helps us optimise costs.

This blog was about the advantages of cloud computing. There are plenty more advantages that you can list down. This brings us to the end of this article on 5 Advantages of Cloud Computing in Healthcare. We hope you enjoyed it, and it piqued your interest in the Cloud Computing domain and its applications.

In case you have questions that concern Cloud Computing or Cloud platforms like Amazon Web Services, Microsoft Azure, and Google Cloud platform, do put those in the comment section below and our team would revert to you at the earliest. You can also check our Great Learning’s PGP Cloud Computing Courses and unlock your dream career.

Original article source at: https://www.mygreatlearning.com

#cloudcomputing 

Learn AWS (Amazon Web Services) for Beginners - Full Course

This AWS tutorial for beginners will help you understand what is AWS (Amazon Web Services), how did AWS become so successful, the services that AWS provides (AWS EC2, Amazon Elastic Beanstalk, Amazon Lightsail, Amazon Lambda, Amazon S3, Amazon redshift, amazon ECS, amazon route 53, amazon vpc, AWS CloudFront, AWS sagemaker, AWS autoscaling, and AWS elastic beanstalk), the future of AWS and a demonstration on deploying, in the end, we’ll also be discussing AWS certification and AWS interview questions for beginners and advanced level. This AWS tutorial video is suitable for those individuals who aspire to become AWS Certified Solution Architects. However, let move ahead and understand what AWS actually is and what are the services that AWS provides to an organization.

The below topics are covered in this AWS tutorial:

• What is AWS?
• AWS Tutorial
• AWS EC2
• AWS Lambda
• AWS S3
• AWS IAM
• AWS cloud formation
• AWS ECS
• AWS route 53
• AWS Elastic beanstalk
• AWS VPC
• AWS SageMaker
• AWS CloudFront
• AWS Autoscaling
• AWS Redshift
• AWS vs Azure
• AWS vs GCP
• AWS vs Azure vs GCP
• Kubernetes on AWS
• How to become a solution architect
• AWS Interview questions -Part 1
• AWS Interview questions -Part 2

What is AWS?

Amazon web service is an online platform that provides scalable and cost-effective cloud computing solutions. AWS is a broadly adopted cloud platform that offers several on-demand operations like compute power, database storage, content delivery, etc., to help corporates scale and grow.

AWS Services

Amazon has many services for cloud applications. Let us list down a few key services of the AWS ecosystem and a brief description of how developers use them in their business.
Amazon has a list of services:

• ✅Compute service
• ✅Storage
• ✅Database
• ✅Networking and delivery of content
• ✅Security tools
• ✅Developer tools
• ✅Management tools

#aws #amazonwebservices #cloud #cloudcomputing

How Is Cloud Computing Helping The Telecom industry Grow

In this article, we will learn together how Cloud Computing helps the telecom industry grow. Cloud Computing is gaining immense popularity for the last half a decade. It has made its impact on IT, Technology, and Business industries. This has led to a surge in global spend in the Cloud Computing domain. We will discuss the overview of Cloud Computing and its benefits in the telecom industry.

If you wish to become a certified professional in cloud computing, check out the Cloud Computing online course from Great Lakes Executive Learning, offering a PG Program in Cloud Computing certification. 

Overview of Cloud Computing

Let’s see the formal definition of Cloud Computing:

“Cloud Computing enables on-demand services like compute, storage, networking, software, database, etc., which can be accessed through the internet, and the user is not required to manage these resources.”

The main advantage of cloud computing is that you only pay for the cloud services you use, reducing your operating costs. Subsequently, you can run your infrastructure more efficiently.

Some of the essential Cloud services are:

• Pay as you go, payment model
• It is accessible from most parts of the world
• It can be accessed through the internet
• A vendor takes care of managing and monitoring these services
• The resources provided can scale up and down depending upon the requirement

Learn the basics of Cloud Computing with this Free Cloud Foundations Course.

Benefits of Cloud Computing in the Telecom Industry

Cloud Computing has made an enormous impact on the telecom industries. It has reduced operational and administrative costs for the telecom sectors and maintained a unified communication and collaboration with a massive Content Delivery Network. Cloud service providers allow telecom sectors to focus on essential business services rather than IT, server updates, or maintenance issues.

Let’s go through some vital benefits of cloud computing from the perspectives of telecommunications, service providers, and users.

Benefits of Cloud Computing from a Telecommunications perspective

Cloud Computing has significantly increased the reach of telecommunications across the world using advanced technologies. Some of its benefits include:

• Cloud Delivery Model: The platform delivers IT and communication services over any network (fixed, mobile, worldwide coverage) and can be used by any end-user connected devices, such as smartphones, PCs, televisions, etc.
• Communication Services: It delivers a vast range of communication services, such as audio calls and conferences, video calls and conferences, messaging, broadcasting, etc.
• Network Services: It provides high-grade network services, such as VPN, L4-L7 connections, etc., to ensure secure and high-performance services with end-to-end quality assurance for end users. 

Benefits of Cloud Computing from a Service Provider’s perspective

Cloud Computing can benefit itself by providing cloud services to telecom sectors. Some of its benefits include:

• Reduction in costs: Using cloud computing, service providers can provide software at lower rates with the help of virtualization and provisioning software, allocating efficient computing resources, thus reducing hardware costs as well.
• Highly scalable and flexible infrastructure: A vast scalable engine delivers building highly scalable and flexible infrastructure for users and partners, meeting the peak loads and seasonal variations demands.
• Efficient and flexible resource allocation and management: Using virtualization technology in cloud computing, cloud service providers can use flexible and efficient resources, such as IT, server, storage, network, etc.

Benefits of Cloud Computing from a User’s (Telecom) perspective

Cloud Computing has significantly increased several telecom industries’ business revenues by providing efficient and effective operations, leading to advanced technologies. Some of its benefits include:

• Reduction in costs: As previously mentioned, cloud computing helps in the reduction of operating costs of software and hardware resources, thus increasing the infrastructure’s efficiency and scalability.
• Data Centers: Cloud computing improves data centres’ efficiency and server utilisation through the collaboration between cloud service providers and telecom sectors.
• Scalable engine: Cloud service providers deliver a massively scalable engine to build scalable and flexible services to improve the business performance and revenue of telecom sectors.
• Pay-per-use payment model: Cloud service providers offer pay-as-you-go payment models where telecom sectors only need to pay for the services they utilised or subscription-based pricing.
• Low migration costs: If the telecom sectors (customers) are not satisfied with the cloud service, it is quite easy to migrate to a new solution by simple signing a new contract, transferring or migrating data, and retraining the customers at minimal costs.
• Service-mobility: Cloud services can be used by anyone who has internet access to devices that are not only desktops but also by mobile phones. It results in growing your business across the globe.
• Securing important data: Cloud computing offers data backup, where it allows telecom sectors to backup, store, and secure their critical data in multiple locations to carry on with the business immediately, although there is a natural disaster.
• Eco-friendly technology: Telecommunications and cloud computing together help to develop eco-friendly technologies. 

Now, let’s see a real-time example of a telecom company called SingTel that use cloud services.

SingTel: Singapore-based Telecommunications Company

The company launched SingTel Video-Analytics-as-a-Service (VAaaS), which is a cloud-based video analytics service developed by KAI Square Pte Ltd, a Singapore-based startup. The cloud service utilises a state-of-the-art cloud-based analytics platform for converting video data into customer intelligence to grow in the retail industry. The service takes untapped video images to utilise powerful analytics for translating them into commercially useful data. The information includes:

• It analyses the customer profiles and improvises the customer experience correspondingly
• It improves sales by putting up advertisements where customers mostly access or encounter
• It Improves staffing effectiveness
• It gains quick insights into performance across multiple store locations, which subsequently enables faster and more efficient business decisions

Using this information, retailers can improve their effectiveness and efficiency of their sales and marketing efforts, eventually enhancing their traffic flow.

To conclude, cloud computing has significantly impacted the telecom industries and various sectors like government and public enterprises, etc. The majority of organisations use cloud services to grow their business operations and meet customers’ demands. Many services-based organisations, like the cloud telecommunication sectors, are witnessing massive growth in their markets.

Original article source at: https://www.mygreatlearning.com

#cloudcomputing 

What Is Cloud Computing? | Cloud Computing industry Spends

In this article, we will learn together what is Cloud Computing? | Cloud Computing Industry Spend. Cloud Computing is the new oil of Application hosting and infrastructure planning. The demand for Cloud Computing has skyrocketed in the last half a decade. With increasing demands, businesses have realized the importance of investing in Cloud Platforms. In this article, we will be exploring Cloud Computing Industry spends and other pointers that concern this topic.

Let go ahead and take a look at the pointers we will be touching upon in this article:

• What is Cloud Computing?
• Market Share of Cloud Service Providers
• Cloud Computing Industry Spend

So let us start by understanding what is Cloud Computing in a nutshell. To bluntly define it,

What is Cloud Computing?

‘Cloud Computing is the process of providing cloud solutions or on-demand services like storage, compute, Database, networking etc on a pay as you go basis. Here the consumers can consume these resources through the internet and do not have to worry about maintaining or monitoring these services’.

To elaborate more on the definition, Cloud Computing lets you rent resources like compute, storage, networking etc. where you pay only for the resources you use and only for the time duration you use those resources for. With the ability to access these resources through the internet, you are not location bound. This means that you can fire up your laptop and start using these services from your existing location. Cloud Computing gives you resource management, and instant scalability meaning you do not have to worry about fluctuating data or traffic.

These features of scalability, pay as you go model, and vendor-based management and support means you get rid of all the major shortcomings associated with a normal On-Premise infrastructure. This is the reason why we see organisations migrating to Cloud and there is a spike in the interest of people wanting to make a career in the cloud computing domain.

This spike is not only common to people wanting to make a career in the domain but also people who plan to invest in this domain from a business perspective. Let us go ahead and understand what are popular platforms in this domain. And how do they stand from a cloud market perspective?
 

The market of Cloud Service Providers

Talking of Cloud Service providers, these are the vendors that provide the above-mentioned cloud computing services. There are plenty of Cloud Service providers in the market. However, there are few platforms that have gained a huge amount of popularity and have had a larger market share in the domain. Let us take look at some of the statistics. The image below shows Cloud Market leaders in terms of Cloud Services they provide.

From the image above it is clearly visible Amazon Web Services, Microsoft Azure and Google Cloud Platform are the market leaders in IaaS and PaaS public domain. IBM, Rackspace and NIT lead the way in Hosted Private Cloud Domain. Cloud services are also provided in other forms and it is visible that there are leaders in those domains from the graphs below.

This was about Market growth and shares in general terms. Let us go ahead and discuss Market share and IT spends of Companies from a granular perspective.

Cloud Computing Industry Spend

Talking of Industry spends, let us take a look at last year’s statistics. The statistics stated that Public cloud would have most of the majority of market share. And that was indeed correct. Public Cloud Market shares dominated in 2019 and more than per cent of the business that invested in the cloud had a share in Public Cloud Investments. It was followed by a private cloud and they too had a share in IT spending on Cloud. It was confirmed that 70 per cent of businesses also invested in private and Hybrid Cloud. (Note: hybrid clouds are those cloud, which is a combination of resources residing on both public and private clouds)

Talking of Investment Gartner forecasted that by 2021 the Public Clouds will potentially have 260+ billion US dollar investment. Whereas IDC stated that by 2023 the number is expected to Skyrocket to 500+ billion. This should paint a picture of the popularity of Public Cloud in the Business World.

Digging dip into these statistics, let us see what do the statistics say about the investments in different service domains of these public domains.

SaaS (Software as a Service) had more than 50 per cent of public cloud investments. Whereas IaaS (Infrastructure as a Service) was second on this list, thus making PaaS (Platform as a Service) the last on this list.

SaaS Market Share and IT Spend

SaaS is one of those service models that was known to the world the earliest. And it leads the way in terms of profit made by companies and also the investment that has happened. We have already discussed the fact SaaS had a larger market share. One of the reasons for it is the profits the businesses have made by investing in this domain. Q1 of 2019 showed the companies made a revenue in access of 23 Billion US dollars in a quarter. To learn more about SaaS, you can take up a SaaS course that will teach you the fundamental concepts and help you become job-ready.

Many vendors dominated the SaaS Cloud Market. The Key ones were Microsoft Azure, Salesforce, Adobe, SAP etc.

Microsoft Azure has acquired largest amount of SaaS market in 2019 with more than 15 per cent of the market with an annual growth of 34%. Most by any vendor. Hence we see it closing in on Amazon Web Services in overall Public Market share.

Second on this list was Salesforce with 12% of market share in SaaS domain and also showed an overall annual growth of 21 percent. Third and fourth on this list are Adobe and SAP with 10 and 6 percent of the market share in this particular domain. Oracle found the fifth position on the list with 6 percent of market share as well. 

Here is another image confirming the statistics we discussed above,

This does paint a pretty picture for SaaS Cloud. However, the picture has other faucets or sides that are worth looking into. SaaS does show of lot promise, however, it still owns just 20 per cent of the overall market. Companies out there are still largely based on, on-premise infrastructures. The comfort of not letting go of their security concerns and the familiarity of on-premise infrastructure could be one of the major reasons we see this. In recent times we have seen SaaS vendors pitching SaaS proposals and we see positives of people migrating to SaaS on larger fronts.

Let us take look at some infrastructure statistics for Cloud Computing. If we are to look into Gartner statistics, Gartner states that IaaS shows 31.3% of growth which is $32.4 billion from $24.7 billion in 2017.

The market has been dominated by five vendors that contribute almost 80% of the IaaS market. These vendors are:

• Amazon Web Services by Amazon
• Microsoft Azure Cloud Platform
• Alibaba Cloud Platform
• Google Cloud Platform
• IBM Cloud

Amazon Web Services

Amazon Web Services leads the Public Cloud Market by a margin. It holds more than half the world public cloud infrastructure. Amazon Web Services has dominated this market for quite a few years

Microsoft Azure

This platform has shown great leaps in the SaaS market as discussed already. Microsoft Azure has also shown tremendous growth in Public and IaaS cloud market in recent times. 

It has shown more than 70% growth last year. And it is expected to continue at this rate this year too.

Cloud platforms like Google Cloud Platform and Alibaba have it on list with taking up third and Fourth Positions respectively.

Taking about the PaaS market, Cloud Spends have soared here as well. In 2019 Platform as a Service generated $20 billion in terms of revenue. And it is expected to double by 2023. Now that is some number to note. However, when it comes to comparing it with other service models in terms of global spend or growth, the predictions, for now, are flat and do not show to boast for.

This brings us to the end of this article on Cloud Computing Industry Spends. I hope you know by now where the Cloud Market is heading. If this spiked up your interest in Cloud Computing. Then this is the best time to invest in Cloud Computing. So keep pursuing your cloud dream by learning about different Cloud Service providers in the market.

In case you have queries related to the topic discussed or to Cloud Computing in general. Then do let us know by putting those in the comment section below and somebody from our team will revert with a response at the earliest. Happy Learning!

Original article source at: https://www.mygreatlearning.com

#cloudcomputing #cloud 

12 Popular Cloud Computing Projects

In this article, we will learn about the top 12 cloud computing projects together. Cloud computing is adapting well to the shifting demands of today’s world. Businesses or educational institutions such as universities and schools must meet needs with cost-effective and scalable solutions. And to understand how to implement such solutions properly, one must first understand how cloud computing concepts can be mapped to real-time situations. Imagine if such issues were viewed as challenges and accepted in project proposals. Yes, these Cloud Computing project ideas are confined to Natural Language Processing or Artificial Intelligence algorithms that answer the customer or rural people’s inquiries well.

Introduction to Cloud Computing Projects

Cloud computing is one of the era’s most renowned and in-demand new technologies. It provides computer system resources like computing power and data storage to the end-users. Big Giants like Microsoft, Google & Amazon AWS were the first to launch it and have been the leaders since its inception. This article on “cloud computing projects” can help you to design projects.

Cloud Computing works on three different Service models, which are PaaS (Platform as a service), SaaS (Software as a service), and IaaS (Infrastructure as a service). Let’s deep dive to understand the strategies and high demand Cloud computing projects which can be used & can help you get an excellent job by developing an idea to make the best cloud computing projects of today’s day.

Top 12 Cloud Computing Projects

Here are the top 12 cloud computing projects to refer

1. Data Mining Applications in Cloud Computing Projects
2. Developing the Eco-Friendly & sustainability based data centers
3. Chat Bots
4. Online Automation of a University Campus/College
5. Remote-controlled smart devices
6. Cloud-based Project in Healthcare & Pharma Sector
7. Smart Traffic Management
8. Bug Tracker
9. Detecting Data Leaks using SQL
10. Android Offloading
11. Blood Banking via Cloud Computing
12. Attendance Tracker

Check Out Great Learning’s Cloud Computing Course

Data Mining Applications in Cloud Computing Projects

In the current scenario, it can be easily found that data mining applications are being used in different industries. The main idea behind cloud computing is to maximize the cloud’s storage capacity by enabling more data storage & access as per the business needs. Distribution of the cloud servers on a global scale charges various users in proportion to the users’ location to the amount of data being transferred. The utility of a cloud computing project can be improved by adopting a nonlinear model to retrieve the data. This can help in reducing the cost of the execution cost. The Developers can go for deploying different execution of the application workflows so that the logs from cloud storage will be available simultaneously through the nonlinear solutions. This can be more cost-effective than a single source selection way of data retrieval. Such a cloud computing project idea can be a different thing & can go a long way. It can be available & beneficial for small & medium-scale enterprises. 

Developing Eco-Friendly & sustainability-based data centers

In today’s world, much awareness is being spread about the environment and its natural resources. Everybody is talking about planting trees, bio-gas, the greenhouse effect, and so on, to make the planet earth a better place to live and save for future generations. Everybody is environmentally conscious, and people have started teaching their kids about their responsibility to the environment. Being Digital, to a large extent, has helped shift to more energy-efficient and eco-friendly tools/modes of operation. Automobile companies have started making electric cars and motorbikes to help be environmentally friendly. But as a known fact, the deployment & the distribution of such cloud-based data involve a considerable amount of power cost.

So if we can find a way to develop cloud computing projects that can optimize the use of green energy, it can help save production costs and be eco-friendly too. If developed, such a project can be a great success, and various small, medium, and most significant business enterprises can benefit from it.  

The idea behind such projects is to optimize & reduce the power consumption incurred during the server deployment process. Such a project will be entirely based on the deployment stage because the main idea is to substitute traditional energy with renewable energy sources. Such a process of integrating sustainable energy with the data servers will reduce carbon emission, thereby a relief to the environment and will result in lowering the total cost of ownership of the cloud storage. Hence, if such a source of green energy is made available, this Project can be a reality soon. It depends on the availability of green energy.

Chat Bots

As we know, the current era of Artificial intelligence means that most of the work is done by Machines/Computers than the actual manual work by humans. A chatbot is one the artificial intelligence software which can reply to a query initiated by a user. So these Chatbots can communicate with humans when a user visits the site. These chatbots are one of the most famous & successful cloud computing projects. The idea behind developing such Chatbots is mainly for better & timely interaction, marketing, and customer experience 24/7. So a Website owner can always keep in touch with the customer frequently as & when needed. 

Some of the chatbots automatically give a reply based on predefined input patterns. A list of pre-stored responses is given in the system, & whenever a user asks any question, the bot matches its pattern with the system and gives the appropriate answer. So you can customize the stored data of the Chatbot as per the business requirement. This bot is mainly used in various e-commerce websites to make them more marketing & customer service-oriented.

Some of the bots do not have predefined answers for a pattern. Chatbots are amongst the most demanding cloud computing projects running today. So if you know the technology, This can help you get a job in the market & a great package too. Learn to create Chatbot for free!

Also Read: Basics of building an Artificial Intelligence Chatbot

Online Automation of a University Campus/College

Cloud computing systems are not untouched in the educational sector; they are also being used in the Education Sector. It helps gather data on the faculty, students, and visitors who visit the college campus. It comprises individual login portals for students, companies visiting the campus, and faculties. Each & every person registers using their portal & credentials. Such a Cloud computing project makes life easier for the Faculties in different divisions. They can easily search & Check student details & shortlist the students based on the profiles & reviewing them according to the criteria becomes more effortless & time-saving.

Admin will have access to all the said portals to have the authority to edit & update the data.  

Remote-controlled smart devices

It becomes so easy with Google Home for us to say, ‘OK, Google, turn off the bedroom light.’ Such home assistants are a great relief, and you don’t have to get up & switch off the lights. Technology has gone a way ahead. So much is being served on our plates by the boon of AI & Machine learning. There will be so many amongst us who are dependent on the internet of things for running our day-to-day life activities. From a smart tv to a smart refrigerator, Oven, Electric Cooker, & many more household gadgets run on automation.  

If we can think of Developing such loud computing projects which can give access to the owners to remotely control their smart devices the same way as our google home assistant does, imagine if we can instruct like OK Google, turn off the water heater or more relaxed while at a railway station/Café/Restaurant. With the vast scope in the field of Machine learning using data analytics and Artificial intelligence and software development, if such a project is done, it will be a hit & boon for technological innovations in this field. 

Cloud-based Project in Healthcare & Pharma Sector

As we all know, the Healthcare & Pharma sector is among the most desired domains for continuous innovations to improve the current facilities.

Due to the different diseases & the medical needs of the people, a lot of innovations & research keep going in these sectors. Let it be the Medicines, Drugs, equipment, diagnostic facilities, or healthcare solutions. We can come up with cloud-based projects by deploying such cloud-based intelligence systems in the research & the development of the most demanded/Required facilities can prove a boon to the sector & help in saving the lives of millions.

As Machine learning, Business Analytics, Intelligence, data analytics & AI are the top tools in the current business scenario, Such tools & technologies can be used for Research & Analysis purposes & play a significant role in analyzing the potential & possibility of such a project.

Smart Traffic Management

This project primarily leverages cloud computing capacity to lower your vehicle’s waiting time request during peak traffic hours. An application that may theoretically replicate the movement of vehicles such as cars, scooters, and three-wheelers after monitoring real-time traffic would be used to show such management.

This is one of those cloud computing project ideas that will assist beginners apprehensive about applying traffic management principles to real-world challenges to strengthen their decision-making process. This is because they will calculate the shortest route and time for a vehicle so that it does not get stuck in traffic. Still, thinking about how this project will determine the shortest route and duration for a car?

Vehicles moving in modern cities may be followed and monitored well using three-layered networks of a wireless sensor, vehicle routing, and updated coordinates of a vehicle’s source and destination. Later, video processing algorithms will calculate the amount of traffic impacting events. These events could be weather changes, driving zones, and other unique occurrences. Finally, traffic data will be retrieved and evaluated. This is to improve a vehicle’s overall efficiency in reaching its destination by selecting the shortest road accessible in the shortest amount of time.

Bug Tracker

Bug Tracker is easy to use and excellent at identifying and killing a wide range of bugs. These problems can be caused by communication, grammar, calculation, or command issues. Consider how such issues could be identified in a shorter period. By entering into this program with a legitimate login and strong password, a person utilizing this tracker (who may be an administrator, a staff member, or a client) can determine the kind and source of the bug. The person can then look over the details of the bug, such as when it was created, how long it stayed in the system, and so on.

If the bug isn’t directly or indirectly related to the administrator, they may pass the information on to a staff member or vice versa. If the same (i.e., bug) is bothering the consumers, the bug details may also be given to them. Customers who cannot locate remedies for a bug will be able to contact the administrator directly for the much-needed solutions. Customers will not have to waste time analyzing the Bug Tracker’s searches and labels. This is because the administrator has supplied methods to find and eliminate a bug in a shorter period.

Detecting Data leaks using SQL

Data leaks have grown widely in this modern era, and the repercussions are dangerous to innocent users. They might occur in a known or unknown manner due to various forms. Several data breaches occur when your password is stolen, when one of your pals successfully memorizes the keystrokes, or when ransomware takes control of your machine and mind. In this project, a system will be built using cloud technology and secured using AESX Encryption.

Are you considering how this may mitigate existing security flaws (SQL Injection)? The software that detects data breaches will perform content inspection and contextual analysis to accomplish this properly. Users (who may or may not be assaulters) will be classified using them based on the messages or behaviors on the internet. Later, if a user’s messages knowingly or unknowingly invite security vulnerabilities, such messages and users are identified. And the software (which is packed with DLP or Data Loss Prevention solutions) will intelligently restrict those users or take strict action against them. This is done to prevent losses in terms of money or mental health.

Overall, this project aims to protect the privacy and security of your personal information held on e-commerce sites where you may log in regularly or frequently.

Android Offloading

Android Offloading would be a straightforward way to make offloading easier. You may now inquire as to what the offloading entails. Offloading is a term that combines the words “off” and “loading” and refers to turning off or lessening the burden. Depending on the intricacy of the environment, that stress may be placed on an operating system such as Android or Windows. Students will propose an offloading architecture that utilizes cloud-based servers in this project. Such servers will reduce Android strain by allowing users to move heavy workload applications to virtual servers that take advantage of cloud storage.

As a result, numerous processes running in the foreground or background of your Android phones will be able to perform other critical activities now that space has been made accessible. Users can easily record the timestamp analysis by selecting a process or the corresponding file. This study will reveal how long existing programmes have been using Android resources and CPU power and what non-interactive components they contain. Non-interactive sections and space-consuming duties are relocated to cloud-based servers.

Therefore, they allow smartphones to demonstrate robotic offload in real time. This would be an excellent assignment for beginners because it would assist organisations in determining whether or not their current systems can extract profit margins in the current market conditions!

Blood Banking via Cloud Computing

Blood banking is a way of facilitating blood transfusions that makes good use of existing scientific tools. This initiative can cater to such characteristics well depending on donors’ blood type and availability in that area. All thanks to a central database bolstered by the computational power of scalable and effective cloud storage. You could consider how doctors and other medical professionals will determine which donor is the best! The previous track records are the answer.

This cloud-based online Blood Banking system will highlight the significant contributions of donors in previous months or years and identify the quality of the results provided by their blood. Doctors and other practitioners can now be confident that they will have easy access to blood (A+, B+, AB+, or O-). This will also assist beginners in comprehending the relevance of blood banks. And the implications that patients must confront if the blood that could be transfused into their veins is not available during their scheduled times.

Attendance Tracker

Attendance Tracker could be a prize-winning project for college students or cloud computing newcomers. This is because a tracker like this will aid in the investigation of discrepancies in existing attendance statistics. Because the tracker has so much potential, it may determine which students are irregular in their courses. This will also determine the ones not able to grasp the concepts of their chosen fields.

Students may mesmerize their teachers or experienced authorities of management using this tracker. The tracker is compatible with the Azure cloud, which provides excellent analytics and networking for cloud-based applications. When you enter a student’s Enrolment Number or Name, information such as availability in classes and the number of lectures attended will appear. Because Azure cloud capabilities power the tracker, no proxies are possible.

Even the security provided is so comprehensive and practical that the students who often deceive their deans are found in a shorter period – just after the admin enters login credentials into this tracker. This will increase accuracy and transparency in any educational institution. This is because students and their parents will be notified about the status of leave requests and absences securely and cost-effectively.

Conclusion 

Cloud computing projects have a vast scope with great potential to transform the technological landscape to better the current business scenarios. So if we get a chance to extend and upgrade technology, it will also significantly impact businesses and society. As the scope of innovation remains expansive, the execution of such projects is a challenge and needs attention and risk to investment. But, cloud technology is such a remarkable thing that the techies have already established various projects, and there are many yet to be built in the current cutting edge technology and research & development, which keeps on working for a better tomorrow for every one of us.

So, we hope that you like our list of cloud computing project ideas. Our suggestion would be to quickly narrow down your favorite one to start work on it. Now, you can also learn cloud computing from a leading global university and secure a certification. 

Whether you want to get started in cloud computing or build on your existing knowledge, Great Learning Academy’s free cloud computing courses will give you the skills you need to succeed. These courses are perfect for anyone who wants to get ahead in the cloud computing field. In addition, these courses come with certification upon completion, which can help you land a job in the field.

Original article source at: https://www.mygreatlearning.com

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What Is Cloud Computing? Everything You Need to Know

In this article, we will learn together what is Cloud Computing? Every letter you consider. Cloud Computing has gained massive popularity in the past half decade, and this popularity growth appears to be an upward trend. With this rising popularity, everybody wants to make a career in the domain. So much so, that many people from non-technical domains with less or no knowledge are wanting to harness Cloud Computing’s popularity for career opportunities. In this article, we will be answering a question that bothers many, that is, can non coders have a career in cloud computing?

What is Cloud Computing?

Cloud Computing, in simple words, is nothing but providing on-demand services like:

• Storage
• Networking
• Computation
• Security
• Messaging

On metered usage, which can be accessed across the globe using the internet and all the resources are maintained and monitored by your vendor, giving you ample time to focus on your business. Many popular vendors in the market offer on-demand services. These are Amazon Web Services, Microsoft Azure, Google Cloud Platform etc. These vendors provide services in 245+ countries and serve in different locations across the globe.

Also Read: AWS EC2 Tutorial | What is AWS EC2?

With metered usage, we can use the resources and services offered by these vendors on a ‘pay as you wish’ basis. That means, we use a resource for N hours for N amount, then we will be charged only for that duration and the size of the resource. These resources are delivered to you in highly secured models in different offerings in the form of service and deployments models.

This was about what cloud computing is. Let us now go ahead and understand some career statistics and opportunities offered by Cloud Computing.

Cloud Computing Career Opportunities

Talking of career opportunities, Cloud Computing offers various career opportunities that serve different purposes in different forms. If we are to take a look at numbers that Cloud Computing attracts, then it is one of those skills that is the second most popular in terms of hard skills that companies are looking for in 2020.

An average Cloud Engineer makes 7-12 lakhs in India, and the pay increases as the experience and skillset increases. In the USA too the numbers are promising. An average Cloud professional makes USD 110K, and it can go up to $250K with relevant skillset and experience.

With Cloud Service vendors like Amazon Web Services and Microsoft Azure blooming at a very high rate, we see many companies wanting to hire people skilled in AWS, Azure and GCP. With 350 billion dollars expected to be invested in Cloud Computing this year, opting for a career in this domain may not be a bad option.

By now we know that Cloud Computing is a good career option. Let us try and answer a question, who is it for? Cloud Computing skilled individuals can have roles like:

• Cloud Engineer
• Cloud Architect
• Cloud Developer
• Cloud Administrator
• Cloud Practitioner
• Cloud Data Engineer
• Cloud Machine Learning Specialist
• Cloud Networking Specialist
• Cloud Security Engineer
• Cloud Support Engineer

However, Cloud vendors classify these roles in major categories such as:

• Cloud Solutions Architect: Ones who design or plan Cloud Solutions and Migrations
• Cloud Developers: Professional who can create these applications on cloud and create and migrate them to cloud
• Cloud Administrators: who can maintain the applications built or migrated to Cloud platforms

Some specialty certifications concern other roles that support applications that are built on the cloud. The question we are answering is, what can coders do on the cloud? And what can’t coders do? So let us move to the next bit of this article.

Also Read: What do I need to know to be a cloud ops engineer?

What Coders Can Do with Cloud Computing?

With all that we have discussed so far, we are sure you must have guessed Cloud Computing is a blessing for developers. As a developer, individuals can build host and manage applications on Cloud platforms easily. Thus, making it easy for them to create an application on the Cloud. With various services offered by Cloud Service vendors, user can migrate their existing code to cloud or even set up an environment to write code within minutes.

Platforms like Amazon Web Services and Microsoft Azure make it easy to implements many end to end DevOps practices on Cloud with numerous services they offer. With automation, it becomes insanely easy to build an application on a cloud which support for deployment and production management.

If you know API, then you transition in the computing world becomes easier. This helps communicate with third-party tools and applications on offer. These platforms support popular programming and scripting knowledge so that you can feel at home on these cloud platforms. Platforms like Amazon Web Services and Microsoft Azure have specialty certifications or role-based certifications that certify you as a developer or a DevOps engineer.

Is Cloud for coders? Definitely as a coder you will enjoy your work in Cloud Computing. Let us now see what non-coders can do on Cloud.

What Non-Coders can do with Cloud Computing?

So can non-coders have a career on Cloud? They can. But, it is not as easy as it would be for a developer or administrator. So to start with, we have already listed the benefits of knowing to code for cloud computing. So it is clear that having coding skills are always a plus for Cloud Computing.

However, it is important to address why we are using Cloud Computing. As mentioned, platforms such as Amazon Web Services, Microsoft Azure and Google Cloud Platform offer numerous services, many of which do not require you to code. So knowingly or unknowingly, we are already using Cloud.

Even if we take a look at prerequisites, it clearly states that it is good to have these skills but not mandatory. That means people wanting to make a career here can either have these or not. Let us understand this from a choice perspective.

Let us assume that you do not know coding but want to learn. In that case, it is good to have knowledge on following the points or develop skills in the following areas:

• Networking Fundamentals
• Basic Bash Fundamentals
• Learn a programming language

Two to three months’ investment of time is good enough for you to get started. What this will do, is give you more control over API usage, and you can advance into cloud computing very smoothly.

Let us now assume you are not very interested in learning to code. Just brush you Linux fundamentals, and basics of JSON, which should enough for you to help basics architecting on Cloud. You may get into non-technical roles, where you understand cloud computing, but at the same time take care of marketing or sales or pre-sales side of things. So there are numerous possibilities on can look into. The question is, how do you plan on approaching this problem? And how do you move ahead and solve your concerns in the domain?

Also Read: Future of Cloud Computing | Upcoming Trends

This brings us to the end of this article on ‘Can Non-Coders Have a Career on Cloud?’ We hope by now you are aware of how you can approach a cloud computing a role as a non-programmer or a non-coder. So do continue your journey of having a career in Cloud domain. In pursuit of your journey if you question concerning Cloud Computing, Cloud Careers or related to Amazon Web Services or Microsoft Azure or other Cloud Service provider, then feel free to put that in the chatbox below. Out team would revert with an answer at the earliest. Happy Learning! You can also enroll with Great Learning’s PG Cloud Computing Course and unlock you’re dream career.

Original article source at: https://www.mygreatlearning.com

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