Cloud Computing Full Course 2026 | Cloud Computing Tutorial For Beginners | Simplilearn

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[Music] Hey there, welcome to our cloud computing full course by Centular. Are you looking for a fast growing highpaying tech career? The cloud computing full course is your gateway to a booming industry. With more businesses shifting to the cloud, the demand for cloud computing professionals is skyrocketing. Companies are increasingly adopting cloud platforms like AWS, Azure and Google Cloud to run their operations scale efficient and enhance security. Now this shift has made cloud computing one of the most in demand skills today with salaries ranging from $80,000 to $15,000 based on experience and expertise. This course we will start with the basics of cloud computing. what it is, why is it important, and how businesses use it to streamline their operations. You'll also explore leading cloud platforms like AWS, Azure, and Google Cloud, and even gain practical knowledge of cloud storage, compute, and networking. You won't just be learning theory. Now, this course includes hands-on project that will give you real world experience and skills that are directly applicable in the cloud computing today. And by the end of this course, you'll be ready to pursue cloud roles, earn certification, and unlock job opportunities in this high demand field. So, are you ready to start this course? Let's get started. Now, before we move on, if you're looking to futureproof your tech career, this professional certificate program in cloud computing and devops by ENIC Academy, IT Gojharti is the perfect choice for you. In just eight months, you'll gain hands-on expertise across AWS, Azure and Google Cloud, master DevOps like Genkins, Docker, Kubernetes, and work on 30 plus real world projects. What makes this program stand out? You'll get official Azure certifications, IIT Goi credentials, access to live master classes, and even a campus immersion opportunity. Plus with AI powered job assistance, resume building and interview preparation, you are set up for real career growth. So what are you waiting for? Hurry up and enroll now and you can find the course link below. >> Before cloud computing existed, if we need any IT servers or application, let's say a basic web server, it does not come easy. Now, here is an owner of a business. And I know you would have guessed it already that he's running a successful business by looking at the hot and fresh brewed coffee in his desk and lots and lots of paperwork to review and approve. Now, he had a smart, not only smartlooking, but a really smart worker in his office called Mark. And on one fine day, he called Mark and said that he would like to do business online. In other words, he would like to take his business online. And for that he needed his own website as the first thing. And Mark puts all his knowledge together and comes up with this requirement that his boss would need lots of servers uh database and softwares to get his business online which means a lot of investment. And Mark also adds that his boss will need to invest on acquiring technical expertise to manage the hardware and software that they will be purchasing and also to monitor the infrastructure. And after hearing all this, his boss was close to dropping his plan to go online. But before he made a decision, he chose to check if there are any alternatives where he don't have to spend a lot of money and don't have to spend acquiring technical expertise. Now that's when Mark opened this discussion with his boss and he explained his boss about cloud computing and he explained his boss the same thing that I'm going to explain to you in some time now about what is cloud computing. What is cloud computing? Cloud computing is the use of a network of remote servers hosted on the internet to store, manage and process data rather than having all that locally and using local server for that. Cloud computing is also storing our data in the internet from anywhere and accessing our data from anywhere throughout the internet. And the companies that offer those services are called cloud providers. Cloud computing is also being able to deploy and manage our applications, services and network throughout the globe and manage them through the web management or configuration portal. In other words, cloud computing service providers give us the ability to manage our applications and services through a global network or internet. Example of such providers are Amazon Web Service and Microsoft Azure. Now that we have known what cloud computing is, let's talk about the benefits of cloud computing. Now I need to tell you the cloud benefits is what is driving cloud adoption like anything in the recent days. If you want an IT resource or a service now with cloud, it's available for me almost instantaneously and it's ready for production almost the same time. Now this reduces the go live date and the product and the service hit the market almost instantaneously compared to the legacy environment and because of this the companies have started to generate revenue almost the next day if not the same day. Planning and buying the right size hardware has always been a challenge in legacy environment and if you're not careful when doing this we might need to live with a hardware that's undersized for the rest of our lives. With cloud, we do not buy any hardware, but we use the hardware and pay for the time we use it. If that hardware does not fit our requirement, release it and start using a better configuration and pay only for the time you use that new and better configuration. In legacy environments, forecasting demand is an full-time job. But with cloud you can let the monitoring and automation tool to work for you and to rapidly scale up and down the resources based on the need of that R. Not only that the resources, services, data can be accessed from anywhere as long as we are connected to the internet and even there are tools and techniques now available which will let you to work offline and will sync whenever the internet is available. Making sure the data is stored in durable storage and in a secure fashion is the talk of the business and cloud answers that million-dollar question. With cloud, the data can be stored in an highly durable storage and replicated to multiple regions if you want and uh the data that we store is encrypted and secured in a fashion that's beyond what we can imagine in local data centers. Now let's bleed into the discussion about the types of cloud computing. Very lately there are multiple ways to categorize cloud computing because it's ever growing. Now we have more categories. Out of all these six sort of stand out you know categorizing cloud based on deployments and categorizing cloud based on services and again under deployments categorizing them based on how they have been implemented. You know is it private, is it public or is it hybrid and again categorizing them based on the service it provides. Is it infrastructure as a service or is it platform as a service or is it software as a service? Let's look at them one by one. Let's talk about the different types of cloud based on the deployment models first. In public cloud, everything is stored and accessed in and through the internet. And um any internet users with proper permissions can be given access to some of the applications and resources. And in public cloud we literally own nothing. Be it the hardware or software everything is managed by the provider. AWS, Azure and Google are some examples of public cloud. Private cloud on the other hand with private cloud the infrastructure is exclusively for an single organization. The organizations can choose to run their own cloud locally or choose to outsource it to a public cloud provider as managed services. And when this is done, the service, the infrastructure will be maintained on a private network. Some examples are VMware cloud and some of the AWS products are very good example for private cloud. Hybrid cloud has taken things to the whole new level. With hybrid cloud, we get the benefit of both public and private cloud. Organizations will choose to keep some of their applications locally and some of the application will be present in the cloud. One good example is NAZA. It uses hybrid cloud. It uses private cloud to store sensitive data and uses public cloud to store and share data which are not sensitive or confidential. Let's now discuss about cloud based on service model. The first and the broader category is infrastructure as a service. Here we would uh rent the servers network storage and we'll pay for them in an hourly basis but we will have access to the resources we provision and for some we will have root level access as well. EC2 in AWS is a very good example. It's a WM for which we have root level access to the OS and admin access to the hardware. The next type of service model would be platform as a service. Now in this model the providers will give me a pre-built platform where we can deploy our codes and our applications and they will be up and running. We only need to manage the codes and not the infrastructure. Here in software as a service the cloud providers sell the end product which is a software or an application and we directly buy the software on an subscription basis. It's not the infra or the platform but the end product or the software or a functioning application and we pay for the hours we use the software and in here the client maintains full control of the software and does not maintain any equipment. Amazon and Azure also sell products that are software as service. This chart sort of explains the difference between the four models starting from on premises to infrastructure as a service to platform as a service to software as a service. This is self-explanatory that uh the resource managed by us are huge in on premises that towards your left as you watch and it's little less in infrastructure as a service as we move further towards the right and further reduced in platform as a service and there's really nothing to manage when it comes to software as a service because we buy the software not any infrastructure component attached to it. Now let's talk about the life cycle of the cloud computing solution. The very first thing in the life cycle of a solution or a cloud solution is to get a proper understanding of the requirement. I didn't say get the requirement but said get a proper understanding of the requirement. It is very vital because only then we will be able to properly pick the right service offered by the provider. Getting a sound understanding the next thing would be to define the hardware. Meaning choose the comput service that will provide the right support where you can resize the compute capacity in the cloud to run application programs. Getting a sound understanding of the requirement helps in picking the right hardware. One size does not fit all. There are different services and hardwares for different needs you might have like EC2 if you're looking for is and lambda if you're looking for serverless computing and ECS that provides containerized servers. So there are a lot of hardware available. Pick the right hardware that suits your requirement. The third thing is to define the storage. Choose the appropriate storage service where you can back up your data and a separate storage service where you can archive your data locally within the cloud or from the internet and choose the appropriate storage. There is one separately for backup called S3 and there is one separately for archival that's for glacier. So you know you knowing the difference between them really helps in picking the right service for the right kind of need. Define the network. Define the network that securely delivers data, video and applications. Define and identify the network services properly. For example, VPC for network, route 53 for DNS and direct connection for private P2P line from your office to the AWS data center. Set up the right security services. IM for authentication and authorization and KMS for uh data encryption at rest. So there are variety of security products available. We got to pick the right one that suits our need. And there are a variety of deployment and automation and monitoring tools that you can pick from. For example, cloudatch is for monitoring. Autoscaling is for being elastic and cloud formation is define the management process and tools. You can have complete control of your cloud environment if you define the management tools which monitors your AWS resources and or the custom applications running on AWS platform. There are variety of deployment automation and monitoring tools you can pick from like cloudatch for monitoring autoscaling for automation and cloud formation for a deployment. So knowing them will help you in defining the life cycle of the cloud computing solution properly and similarly there are a lot of tools for testing a process like code star and code build and code pipeline. These are tools with which you can build test and deploy your code quickly. And finally once everything is said and done pick the analytics service for analyzing and visualizing the data using the analytics services where we can start quering the data instantly and get a result. Now if you want to visually view the happenings in your environment you can pick attenna and other tools for analytics or EMR and which is elastic map reduce and cloud search. >> Thanks guys. Now we have Samuel and Rahul to take us through the full course in which they will explain basic framework of Amazon web services and explore all of its important services like EC2, Lambda, S3, AM and cloud formation. We'll also talk about Azure and some of its popular services. >> Hello everyone. Let me introduce myself as Sam, a multiplatform cloud architect and trainer. And I'm so glad and I'm equally excited to talk and walk you through this session about what AWS is and talk to you about some services and offerings and about how companies get benefited by migrating their applications and infra into AWS. So what's AWS? Let's talk about that. Now before that let's talk about how life was without any cloud provider and in this case how life was without AWS. So let's walk back and picture how things were back in 2000 which is not so long ago but lot of changes lot of changes for better had happened since that time. Now back in 2000 a request for a new server is not an happy thing at all because lot of uh money lot of uh validations lot of planning are involved in getting a server online or up and running. And even after we finally got the server it's not all said and done. a lot of optimization that needs to be done on that server to make it worth it and get a good return on investment from that server and uh even after we have optimized for a good return on investment the work is still not done. There will often be a frequent increase and decrease in the capacity and you know even news about our website getting popular and getting more hits. still an bittersweet experience because now I need to add more servers to the environment which means that it's going to cost me even more. But thanks to the present-day cloud technology, if the same situation were to happen today, my new server, it's almost ready and it's ready instantaneously. And with the swift tools and technologies that Amazon is providing in provisioning my server instantaneously and adding any type of workload on top of it and making my storage and server secure, you know, creating a durable storage where data that I store in the cloud never gets lost with all that features. Amazon has got our back. So let's talk about what is AWS. There are a lot of definitions for it but u I'm going to put together a simple and a precise definition as much as possible. Now let me iron that out. Cloud still runs on an hardware. All right. And uh there are certain features in that infrastructure in that cloud infrastructure that makes cloud cloud or that makes AWS a cloud provider. Now we get all the services, all the technologies, all the features and all the benefits that we get in our local data center like you know security and compute capacity and uh databases. And in fact you know we get even more cool features like uh content caching in various global locations around the planet. But again out of all the features the best part is that I get or we get everything on a pay as we go model. The less I use, the less I pay. And the more I use, the less I pay per unit. Very attractive, isn't it? Right. And that's not all. The applications that we provision in AWS are very reliable because they run on an reliable infrastructure and it's very scalable because it runs on an ondemand infrastructure and it's very flexible because of the designs and because of the design options available for me in the cloud. Let's talk about how all this happened. AWS was launched in uh 2002 after the Amazon we know as the online retail store wanted to sell their remaining or unused infrastructure as a service or as an offering for customers to buy and use it from them you know sell infrastructure as a service the idea sort of clicked and uh AWS launched their first product first product in 2006 that's like 4 years after the idea launch and In 2012, they held a big-sized customer event to gather inputs and concerns from customers and they were very dedicated in making those requests happen. And that habit is still being followed. It's still being followed as u reinvent by AWS. And at 2015, Amazon announced its revenue to be 4.6 billion. And in 2015 through 2016, AWS launched products and services that help migrate customer services into AWS. Well, there were products even before, but this is when a lot of focus was given on developing migrating services. And in the same year, that's in 2016, Amazon's revenue was 10 billion. And not but not the least as we speak Amazon has more than 100 products and services available for customers and get benefited from. All right, let's talk about the uh services that are available in uh Amazon. Let's start with this product called S3. Now S3 is an great tool for internet backup and it's it's the cheapest storage option in the object storage category. And not only that, the data that we put in S3 is retrievable from the internet. S3 is really cool. And we have other products like migration and data collection and data transfer products. And here we can not only collect data seamlessly but also in a realtime way monitor the data or analyze the data that's being received that there are cool products like uh AWS data transfers available that helps achieve that. And then we have products like uh EC2 elastic compute cloud that's an resizable computer where we can anytime anytime alter the size of the computer based on the need or based on the forecast. Then we have simple notification services systems and tools available in Amazon to update us with notifications through email or through SMS. Now anything anything can be sent through email or through SMS if we use that service. could be alarms or uh it could be service notifications if you want stuff like that. And then we have some security tools like KMS key management system which uses AES 256bit encryption to encrypt our data at rest. Then we have Lambda a service for which we pay only for the time in seconds. Seconds it takes to execute our code and uh we're not paying for the infrastructure here. It's just the seconds the program is going to take to execute the code. So if it's a short program, we'll be paying in a milliseconds. If it's a a bit bigger program, we'll be probably paying in uh 60 seconds or 120 seconds. But that's lot cheap, lot simple and lots cost effective as against paying for service on an hourly basis, which lot of other services are. Well, that's cheap, but using lambda is a lot cheaper than that. And then we have services like uh route 53, a DNS service in the cloud. And now I do not have to maintain an DNS account somewhere else. and my cloud environment with AWS. I can get both in the same place. All right, let me talk to you about um how AWS makes life easier or how companies got benefited by using AWS as their IT provider for their applications or for the infrastructure. Now, Uni liver is a company and um they had a problem, right? And they had a problem and they picked AWS as a solution to their problem, right? Now this company was sort of spread across 190 countries and they were relying on a lot of digital marketing for promoting their products and their existing environment their legacy local environment proved not to support their changing IT demands and uh they could not standardize their old environment. Now they chose to move part of their applications to AWS because they were not getting what they wanted in their local environment. And since then you know rollouts were easy, provisioning your applications became easy and even provisioning infrastructure became easy and they were able to do all that in push button scaling and uh needless to talk about uh backups that are safe and backups that can be securely accessed from the cloud as needed. Now that company is growing along with AWS because of their swift speed in rolling out deployments and uh being able to access secure backups from various places and generate reports and in fact useful reports out of it that helps their business. Now on the same lines let me also talk to you about Kelloggs and how they got benefited by using Amazon. Now Kelloggs had a different problem. It's one of its kind. Now their business model was very dependent on uh an infer that will help to analyze data really fast right because they were running promotions based on the analyzed data that they get. So they being able to respond to the analyzed data as soon as possible was critical or vital in their environment and luckily SAP running on Hannah environment is what they needed and uh you know they picked that service in the cloud and that sort of solved the problem. Now the company does not have to deal with maintaining their legacy infra and maintaining their heavy compute capacity and maintaining their database locally. All that is now moved to the cloud or they are using cloud as their IT service provider and and now they have a greater and powerful IT environment that very much complements their business. Hi there, I'm Samuel, a multiplatform cloud architect and I'm very excited and honored to walk you through this learning series about AWS. Let me start the session with this scenario. Let's imagine how life would have been without Spotify. For those who are hearing about Spotify for the first time as Spotify is an online music service offering and it offers instant access to over 16 million licensed songs. Spotify now uses AWS cloud to store the data and share it with their customers. But prior to AWS, they had some issues. Imagine using Spotify before AWS. Let's talk about that. Back then, users were often getting errors because Spotify could not keep up with the increased demand for storage every new day. And that led to users getting upset and users cancelling the subscription. The problem Spotify was facing at that time was their users were present globally and were accessing it from everywhere and uh they had different latency in their applications and Spotify had a demanding situation where they need to frequently catalog the songs released yesterday, today and in the future. And this was changing every new day and the songs coming in rate was about 20,000 a day. And back then they could not keep up with this requirement and needless to say they were badly looking for way to solve this problem and that's when they got introduced to AWS and it was a perfect fit and match for their problem. AWS offered a dynamically increasing storage and that's what they needed. AWS also offered tools and techniques like storage life cycle management and trusted advisor to properly utilize the resource so we always get the best out of the resource used. AWS addressed their concerns about easily being able to scale. Yes, you can scale the AWS environment very easily. How easily, one might ask. It's just a few button clicks. And AWS solved Spotify's problem. Let's talk about how it can help you with your organization's problem. Let's talk about what is AWS first and then let's bleed into how AWS became so successful and the different types of services that AWS provides and what's the future of cloud and AWS in specific. Let's talk about that and finally we'll talk about a use case where you will see how easy it is to create a web application with AWS. All right, let's talk about what is AWS. AWS or Amazon web services is a secure cloud service platform. It is also pay as you go type billing model where there is no upfront or capital cost. We'll talk about how soon the service will be available. Well, the service will be available in a matter of seconds. With AWS, you can also do identity and access management that is authenticating and authorizing a user or a program on the fly. And almost all the services are available on demand and most of them are available instantaneously. And as we speak, Amazon offers 100 plus services. And this list is growing every new week. Now that would make you wonder how AWS became so successful. Of course, it's their customers. Let's talk about the list of well-known companies that has their IT environment in AWS. Adobe. Adobe uses AWS to provide multi-ter operating environments for its customers. By integrating its system with AWS cloud, Adobe can focus on deploying and operating its own software instead of trying to, you know, deploy and manage the infrastructure. Airbnb is another company. It's an community marketplace that allows property owners and travelers to connect each other for the purpose of renting unique vacation spaces around the world. And uh the Airbnb community users activities are conducted on the website and through iPhones and Android applications. Airbnb has a huge infrastructure in AWS and they're almost using all the services in AWS and are getting benefited from it. Another example would be Autodesk. Autodesk develops software for engineering, designing and entertainment industries. Using services like Amazon RDS or relational database service and Amazon S3 or Amazon simple storage service, Autodesk can focus on deploying or developing its machine learning tools instead of spending that time on managing the infrastructure. AOL or American online uses AWS and using AWS they have been able to close data centers and decommission about 14,000 in-house and colloccated servers and move mission critical workload to the cloud and extend its global reach and save millions of dollars on energy resources. Bit Defender is an internet security software firm and their portfolio of softwares include antivirus and anti-spyear products. Bit Defender uses EC2 and they're currently running few hundred instances that handle about 5 terabytes of data and they also use elastic load balancer to load balance the connection coming in to those instances across availability zones and they provide seamless global delivery of service. Because of that, the BMW group, it uses AWS for its new connected car application that collects sensor data from BMW 7 series cars to give drivers dynamically updated map information. Canons offers imaging products division benefits from faster deployment times, lower cost, and global reach by using AWS to deliver cloud-based services such as mobile print. The office imaging products division uses AWS such as Amazon S3 and Amazon RA 53, Amazon CloudFront and Amazon IM for their testing, development and production services. Comcast, it's the world's largest cable company and the leading provider of internet service in the United States. Comcast uses AWS in a hybrid environment. Out of all the other cloud providers, Comcast chose AWS for its flexibility and scalable hybrid infrastructure. Docker is a company that's helping redefine the way developers build, ship, and run applications. This company focuses on making use of containers for this purpose. And in AWS, the service called Amazon EC2 container service is helping them achieve it. The ESA or European Space Agency. Although much of ESA's work is done by satellites, some of the programs, data, storage, and computing infrastructure is built on Amazon Web Services. ESA chose AWS because of its economical pay as you go system as well as its quick startup time. The Guardian newspaper uses AWS and it uses a wide range of AWS services including Amazon Kinesis, Amazon Redshift that power an analytic dashboard which editors use to see how stories are trending in real time. Financial Times FT is one of the world's largest leading business news organization and they used Amazon Redshift to perform their analysis. A funny thing happened. Amazon Red Shift performed so quickly that some analysis thought it was malfunctioning. They were used to running queries overnight and they found that the results were indeed correct just as much faster. By using Amazon Red Shift, FD is supporting the same business functions with costs that are 80%age lower than what was before. General Electric GE is at the moment, as we speak, migrating more than 9,000 workloads, including 300 desperate ERP systems to AWS while reducing its data center footprint from 34 to 4 over the next 3 years. Similarly, Harvard Medical School, HTC, IMDb, McDonald's, NAZA, Kelloggs and lot more are using the services Amazon provides and are getting benefited from it. And this huge success and customer portfolio is just the tip of the iceberg. And if we think why so many adapt AWS and if we let AWS answer that question, this is what AWS would say. People are adopting AWS because of the security and durability of the data and end-to-end privacy and encryption of the data and storage experience. We can also rely on AWS way of doing things by using the AWS tools and techniques and suggested best practices built upon the years of experience it has gained. Flexibility. There is a greater flexibility in AWS that allows us to select the OS language and database. Easy to use. Swiftness in deploying. We can host our applications quickly in AWS. Be it a new application or migrating an existing application into AWS. Scalability. The application can be easily scaled up or scaled down depending on the user requirement. Costsaving. We only pay for the compute power, storage and other resources you use and that without any long-term commitments. Now let's talk about the different types of services that AWS provides. The services that we talk about fall in any of the following categories. you see like you know compute storage database security customer engagement desktop and streaming machine learning developers tools stuff like that and if you do not see the service that you're looking for it's probably is because AWS is creating it as we speak now let's look at some of them that are very commonly used within comput services we have Amazon EC2 Amazon elastic beantock Amazon light sale and Amazon Lambda Amazon EC2 provides compute capacity in the cloud now This capacity is secure and it is resizable based on the user's requirement. Now look at this. The requirement for the web traffic keeps changing and behind the scenes in the cloud EC2 can expand its environment to three instances and during no load it can shrink its environment to just one resource. Elastic beantock it helps us to scale and deploy web applications and it's made with a number of programming languages. Elastic beantock is also an easytouse service for deploying and scaling web applications and services deployed be it in java.net net, PHP, NodeJS, Python, Ruby, Docker and lot other familiar services such as Apache, Passenger and IIS. We can simply upload our code and Elastic Beantock automatically handles the deployment from capacity provisioning to load balancing to autoscaling to application health monitoring and Amazon lights is a virtual private server which is easy to launch and easy to manage. Amazon lights is the easiest way to get started with AWS for developers who just need a virtual private server. Light includes everything you need to launch your project quickly on a virtual machine like SSD based storage, a virtual machine, tools for data transfer, DNS management and a static IP and that too for a very low and predictable price. AWS Lambda has taken cloud computing services to a whole new level. It allows us to pay only for the compute time. No need for provisioning and managing servers. And AWS Lambda is a compute service that lets us run code without provisioning or managing servers. Lambda executes your code only when needed and scales automatically from few requests per day to thousands per second. You pay only for the compute time you consume. There is no charge when your code is not running. Let's look at some storage services that Amazon provides like Amazon S3, Amazon Glacier, Amazon EBS, and Amazon Elastic File System. Amazon S3 is an object storage that can store and retrieve data from anywhere. Websites, mobile apps, IoT sensors, and so on can easily use Amazon S3 to store and retrive data. It's an object storage built to store and retrive any amount of data from anywhere. With its features like flexibility in managing data and the durability it provides and the security that it provides, Amazon simple storage service or S3 is a storage for the internet. and Glacier. Glacier is a cloud storage service that's used for archiving data and long-term backups. And this Glacier is an secure, durable, and extremely lowcost cloud storage service for data archiving and long-term backups. Amazon EBS, Amazon Elastic Block Store provides block store volumes for the instances of EC2. And this elastic block store is highly available and a reliable storage volume that can be attached to any running instance that is in the same availability zone. ABS volumes that are attached to the EC2 instances are exposed as storage volumes that persistent independently from the lifetime of the instance and Amazon elastic file system or EFS provides an elastic file storage which can be used with AWS cloud service and resources that are on premises and Amazon elastic file system it's an simple it's scalable it's an elastic file storage for use with Amazon cloud services and for on premises resources it's easy to use and offers offers a simple interface that allows you to create and configure file systems quickly and easily. Amazon file system is built to elastically scale on demand without disturbing the application growing and shrinking automatically as you add and remove files so your application have the storage they need and when they need it. Now let's talk about databases. The two major database flavors are Amazon RDS and Amazon Redshift. Amazon RDS it really eases the process involved in setting up operating and scaling a relational database in the cloud. Amazon RDS provides costefficient and resizable capacity while automating time consuming administrative tasks such as hardware provisioning, database setup, patching and backups. It sort of frees us from managing the hardware and sort of helps us to focus on the application. It's also cost effective and resizable and it's also optimized for memory performance and input and output operations. Not only that, it also automates most of the services like taking backups, you know, monitoring stuff like that. It automates most of those services. Amazon Redshift. Amazon Redshift is a data warehousing service that enables users to analyze the data using SQL and other business intelligent tools. Amazon Red Shift is an fast and fully managed data warehouse that makes it simple and cost-effective analyze all your data using standard SQL and your existing business intelligent tools. It also allows you to run complex analytic queries against pabyte of structured data using sophisticated query optimizations and most of the results they generally come back in seconds. All right, let's quickly talk about some more services that AWS offers. There are a lot more services that AWS provides, but we're going to look at some more services that are widely used. AWS application discovery services help enterprise customers plan migration projects by gathering information about their on- premises data centers. You know, planning a data center migration can involve thousands of workloads. They are often deeply interdependent. Server utilization data and dependency mapping are important early first step in migration process. And this AWS application discovery service collects and presents configuration usage and behavior data from your servers to help you better understand your workloads. Route 53, it's a network and content delivery service. It's an highly available and scalable cloud domain name system or DNS service. And Amazon Route 53 is fully compliant with IPv6 as well. Elastic load balancing, it's also a network and content delivery service. Elastic load balancing automatically distributes incoming application traffic across multiple targets such as Amazon EC2 instance containers and IP addresses. It can handle the varying load of your application traffic in a single availability zones and also across availability zones. AWS autoscaling it monitors your application and automatically adjusts the capacity to maintain steady and predictable performance at a lowest possible cost. Using AWS autoscaling, it's easy to set up application scaling for multiple resources across multiple services in minutes. Autoscaling can be applied to web services and also for DB services. AWS identity and access management. It enables you to manage access to AWS services and resources securely using IM. You can create and manage AWS users and groups and use permissions to allow and deny their access to AWS resources. And moreover, it's a free service. Now, let's talk about the future of AWS. Well, let me tell you something. Cloud is here to stay. Here's what in store for AWS in the future. As years pass by, we're going to have variety of cloud applications born like IoT, artificial intelligence, business intelligence, serverless computing and so on. Cloud will also expand into other markets like healthcare, banking, space, automated cars and so on. As I was mentioning some time back, lot or greater focus will be given to artificial intelligence and eventually because of the flexibility and advantage that cloud provides, we're going to see a lot of companies moving into the cloud. All right, let's now talk about how easy it is to deploy an web application in the cloud. So the scenario here is that our users like a product and we need to have a mechanism to receive input from them about their likes and dislikes and uh you know give them the appropriate product as per their need. All right. Though the setup and the environment it sort of looks complicated. We don't have to worry because AWS has tools and technologies which can help us to achieve it. Now we're going to use services like Route 53, services like Cloudatch, EC2, S3 and lot more. And all these put together are going to give an application that's fully functionable and uh an application that's going to receive the information uh like using the services like route 53, cloudatch, EC2 and S3. We're going to create an application and that's going to meet our need. So back to our original requirement, all I want is to deploy a web application for a product that keeps our users updated about the happenings and the new comingings in the market. And to fulfill this requirement, here is all the services we would need. EC2 here is used for provisioning the computational power needed for this application and EC2 has a vast variety of family and types that we can pick from for the types of workloads and also for the intents of the workloads. We're also going to use S3 for storage and S3 provides any additional storage requirement for the resources or any additional storage requirement for the web applications. And we're also going to use Cloudatch for monitoring the environment and cloudatch monitors the application and the environment and it uh provides trigger for scaling in and scaling out the infrastructure. And we're also going to use Route 53 for DNS and route 53 helps us to register the domain name for our web application. And with all the tools and technologies together, all of them put together, we're going to make an application, a perfect application that caters our need. All right. So, I'm going to use Elastic Beantock for this project. And the name of the application is going to be, as you see, GSG signup. And the environment name is GSG signup environment one. Let me also pick a name. Let me see if this name is available. Yes, that's available. That's the domain name. So, let me pick that. And the application that I have is going to run on NodeJS. So let me pick that platform and launch. Now as you see elastic beanto this is going to launch an instance. It's going to launch u the monitoring setup or the monitoring environment. It's going to create a load balancer as well and it's going to take care of all the security features needed for this application. All right, look at that. I was able to go to that URL which is what we gave and it's now having an default page shown up meaning all the dependencies for the software is installed and it's just waiting for me to upload the code or in specific the page required. So let's do that. Let me upload the code. I already have the code saved here. That's my code and that's going to take some time. All right, it has done its thing. And now if I go to the same URL, look at that. I'm being thrown an advertisement page. All right, so if I sign up with my name, email, and stuff like that. you know, it's going to receive the information and it's going to send an email to the owner saying that somebody had subscribed to your service. That's the default feature of this app. Look at that email to the owner saying that somebody had subscribed to your app and this is their email address, stuff like that. Not only that, it's also going to create an entry in the database. And Dynamo DB is the service that this application uses to store data. There's my Dynamo DB. And if I go to tables right and go to items, I'm going to see that a user with name Samuel and email address so and so has said okay or has shown interest in the preview of my site or product. So this is where or this is how I collect those information. Right? And some more things about the infrastructure itself is it is running behind an load balancer. Look at that. It had created a load balancer. It had also created an autoscaling group. Now that's the feature of elastic load balancer that we have chosen. It has created an autoscaling group. And now let's put this URL. You see this it's it's not a fancy URL. All right. It's an Amazon given URL. A dynamic URL. So let's put this URL behind our DNS. Let's do that. So go to services, go to route 53, go to hosted zone, and there we can find the DNS name. Right. So that's a DNS name. All right. All right, let's create an entry and map that URL to our load balancer. Right, and create. Now, technically, if I go to this URL, it should take me to that application. All right, look at that. I went to my custom URL and now that's pointed to my application. Previously my application was having a random URL and now it's having a custom URL. So what did we learn? We started the session with what is AWS. We looked at features and tools, technologies, products that AWS provides. And we also looked at how AWS became very successful. Again, we looked into the benefits and features of AWS in depth. And we also looked at some of the services that AWS provides in random. And then we picked particular services and we talked about them like EC2 elastic beantock light sale lambda storage stuff like that. Then we also looked at the future of AWS what AWS holds in the store for us. We looked at that and then finally we looked at a lab in which we created an application using elastic beanto and all that we had to do was a couple of clicks and boom an application was there available that was connected to um the database and that was connected to the simple notification system that was connected to cloudatch that was connected to storage stuff like that what is Azure what's the big cloud service provider all about so Azure is a cloud computing platform provided by Microsoft Now it's basically an online portal through which you can access and manage resources and services. Now resources and services are nothing but you know you can store your data and you can transform the data using services that Microsoft provides. Again all you need is the internet and being able to connect to the Azure portal. Then you get access to all of the resources and their services. In case you want to know more about how it's different from its rival which is AWS, I suggest you click on the top right corner and watch the AWS versus Azure video so that you can clearly tell how both these cloud service providers are different from each other. Now, here are some things that you need to know about Azure. It was launched in February 1st, 2010, which is significantly later than when AWS was launched. It's free to start and has a pay-per-use model, which means like I said before, you need to pay for the services you use through Azure. And one of the most important selling points is that 80% of Fortune 500 companies use Azure services, which means that most of the bigger companies of the world actually recommend using Azure. And then Azure supports a wide variety of programming languages. The C, NodeJS, Java, and so much more. Another very important selling point of Azure is the amount of data centers it has across the world. Now it's important for a cloud service provider to have many data centers around the world because it means that they can provide their services to a wider audience. Now Azure has 42 which is more than any cloud service provider has at the moment. It expects to have 12 more in a period of time which brings its total number of regions it covers to 54. Now let's talk about Azure services. Now, Azure services have 18 categories and more than 200 services. So, we clearly can't go through all of them. It has services that cover compute, AI and machine learning, integration, management tools, identity, DevOps, web, and so much more. You're going to have a hard time trying to find a domain that Azure doesn't cover. And if it doesn't cover it now, you can be certain they're working on it as we speak. So, first, let's start with the compute services. First, virtual machine. With this service, what you're getting to do is to create a virtual machine of Linux or Windows operating system. It's easily configurable. You can add RAM, you can decrease RAM, you can add storage, remove it. All of it is possible in a matter of seconds. Now, let's talk about the second service cloud service. Now, with this you can create a application within the cloud and all of the work after you deploy it. deploying the application that is is taken care of by Azure which includes you know provisioning the application, load balancing, ensuring that the application is in good health and all of the other things are handled by Azure. Next up, let's talk about service fabric. Now with service fabric, the process of developing a micros service is greatly simplified. So you might be wondering what exactly is a micros service? Now a micros service is basically an application that consists of smaller applications coupled together. Next up, functions. Now, with functions, you can create applications in any programming language that you want. Another very important part is that you don't have to worry about any hardware components. You don't have to worry what RAM you require or how much storage you require. All of that is taken care of by Azure. All you need is to provide the code to Azure and it'll execute it and you don't have to worry about anything else. Now, let's talk about some networking services. First up we have Azure CDN or the content delivery network. Now the Azure CDN service is basically for delivering web content to users. Now this content is of high bandwidth and can be transferred or can be delivered to any person across the world. Now these are actually a network of servers that are placed in strategic positions across the world so that the customers can obtain this data as fast as possible. Next up we have express route. Now with this you can actually connect your on-premise network onto the Microsoft cloud or any of the services that you want through a private connection. So the only communication that happens is between your on-premise network and the service that you want. Then you have virtual network. Now with virtual network you can have any of the Azure services communicate with each other in a secure manner in a private manner. Next we have Azure DNS. So, Azure DNS is a hosting service which allows you to host their DNS or domain name system domains in Azure. So, you can host your application using Azure DNS. Now, for the storage services, first up, we have disk storage. With this storage, you're given a cost-effective option of choosing HDD or solidstate drives to go along with your virtual machines based on your requirements. Then you have blob storage. Now this is actually optimized to ensure that they can store massive amounts of unstructured data which can include text data or even binary data. Next you have file storage which is a managed file storage and can be accessible via the SMB protocol or the server message block protocol. And finally you have Q storage. Now with Q storage you can provide durable messa