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[Music] What if you could design the cloud system that powered Netflix, Airbnb or even NASA? Sounds exciting? Well, that's exactly what AWS solutions architects do. And in this AWS full course by Simply Learn, we will show you how to become one. Cloud computing is the backbone of today's digital world. And AWS which is Amazon Web Services sits right at the top. With companies across every industry moving to the cloud, skilled AWS professionals are in massive demand and the salaries definitely reflect that. In this course, we will take you from absolute beginner to cloud pro. You will start with the fundamentals of AWS, understand how the cloud work and then dive into real world projects that will help you think and build like an AWS solution architect. And along the way, you will get the knowledge and confidence to prepare for AWS certification too. So what makes this course different? We will focus on hands-on practical learning, no dry theory, just real examples and projects that make you job ready. And by the end, you will know how to design, deploy and manage scalable cloud systems like a pro. So guys, let's get started. Before we comment, here's a quick information. If you are interested in mastering the cloud and building a highpaying career in one of the most fastest tech domain, the cloud architect master program is the perfect choice for you. This 4 month live online course help you gain hands-on expertise across AWS, Microsoft Azure and Google Cloud, preparing you for top global certifications. You will earn official Microsoft course certificates, get access to AWS authored content, and even receive Azure exam voucher, all included with Simply Learn's job assist program. You'll also get resume building help, recruiter visibility through IM jobs and career guidance to land your dream role. So guys, what are you waiting for? Hurry up and enroll now and you can find the course link below. >> We're going to talk about AWS here. By the way, I'm Sam. I work as an cloud architect and technical author with simply learn. In this section, we're going to talk about what is cloud computing and how things were before AWS. And we're going to talk about what is AWS and the benefits of AWS and the products and services that Amazon offers as of now. And then finally we're going to end this session with a project that uh is going to help us understand how to create a genkins build server for continuous integration. And in this project we will learn about uh how to deploy and host genkins and opensource automation software predominantly used for CI/CD otherwise continuous integration and continuous development. So what is cloud computing? Cloud computing is the ondemand delivery of computer resources through a cloud platform accessed via the internet and it is a it's also a pay as you go service be it compute capacity or database or storage in cloud we access them through the internet and that too on a pay as you go pricing model let's talk about how things were before AWS existed Xedia as we know as the people logistic company or the company that helps people move around the world with ease has a certain problem before they decided to migrate to AWS and migrating to AWS was a solution to their problem. Back then booking ticket was an unpleasant experience compared to what it is now. It generally would take a long time to book a ticket and sometimes it would time out if there is a promotion or if a huge sale announced and if the environment is not scaled up to meet the demand and sometimes it would time out if there is a promotion or if a huge sale announced and they could not scale up the environment and keep up with the speed of the promotion. That's when they got introduced to AWS and with the AWS power to increase the capacity of the environment on the fly solved their scaling issue. Instead of waiting on the new hardware to arrive and wondering what to do with the hardware when the promotion is over with AWS, we can quickly scale up the environment when there is a need and scale down the environment during lull periods. Now that being said, let's talk about what is AWS. Amazon Web Services or in short AWS is a secure cloud service platform offering compute power, database, content delivery and other functionality that you would need to help your business scale and grow. AWS is a very secure cloud platform and such security cannot be imagined in on premises without spending a fortune. Almost any type of applications can be created and deployed in the cloud which includes the latest IoT applications, machine learning, artificial intelligence and so on. And the best part is we can avail this service from anywhere as long as we have an active internet. And all this is availed on pay as you go subscription. Now let's talk about the benefits of AWS. AWS cloud platform is very easy to use. One needs no complicated programming or compute knowledge to access and use this environment even with less programming and compute knowledge. One could become a probe in accessing and maintaining the cloud. The products and services offered are very flexible in nature and that provides room for us to easily integrate the service to other services in AWS and services outside AWS. Cloud in general is a very reliable service and AWS in specific is very reliable. Cloud in general is very reliable and when we talk about uh AWS it's very true. A statistic says that about 95% of the cloud computing in the whole world is run on AWS due to AWS reliable nature. The services in AWS are scalable by nature and most of the services provide click button scaling. Services in AWS are very cost effective and it becomes very true when you start using more. Services in AWS are very cost effective and it becomes very true when you start using more service. Services in AWS are very cost effective and it becomes more true when we start using more since when we start using more service the per unitit price drops down even further. Security in the cloud is at its highest with encryption and a multiffactor authentications and being able to audit the logs. One can be sure that when one hosts a service in AWS, they are hosting it in an environment which has been built with enterprise security in mind. All right, let's now talk about or talk briefly about the different products and services available in the cloud. Some of the products and services available in the cloud are compute storage, database, migration services, networking and content delivery, developer tools and services available for managing the AWS environment, tools needed for machine learning development, analytic tools needed for security and identity compliance, tools needed for mobile application services, tools needed for IoT and gaming development are some of the products that are available in AWS. All right, let's first talk about compute uh service. Now, compute service, it enables us to uh develop, deploy, run and scale our applications and workloads on the cloud. You might agree with me that compute service is the fundamental of any applications and AWS provides many options to use those comput services in the cloud. Starting from EC2, which is a VM in the cloud to Lambda, which is serverless computing in the cloud to compute service. Compute service also includes container services and services that help batch processing and deploying applications and load balancing the request when we run our applications on multiple servers and services that help batch processing and developing applications and load balancing the request when we run our applications in multiple servers. We're going to talk about two compute products in specific. Let's talk about EC2. EC2 is a service with resizable compute capacity in the cloud that allows business subscribers to run application programs in the computing environment. And the best part here is EC2 is resizable. Anytime there is more demand, I can simply resize my computer uh to meet the demand. On the other hand, Lambda is a serverless compute service used to execute backend codes. It really helps us to focus on the core competencies like application building the code. Let's talk about storage service for a while. AWS storage is known for its durability and availability with S3 being the object storage for the internet where users or application can directly upload and download the content from the internet and EBS being a durable block storage that gets attached to the EC2 instance and Glacier being the archival solution in the cloud and storage gateway being the gateway for storing data locally and having a backup in the cloud in case of disaster. Let's talk about two important uh storage service products in the cloud which is S3. Now S3 is an web-based cloud storage service. It's designed for online backup and archiving of data. And the best part about S3 is that it provides level 9 durability which means once we store the data in S3 the chances of losing the data is nearly zero. EBS on the other hand provides persistent and resizable and migratable storage to the VMs or EC2s that we can run in the cloud. Now let's talk about the database offerings in the cloud. Beginning with RDS for SQL and DynamoB for NoSQL and Elastic Cache for web caching services and Amazon Redshift for pabyte scale data warehousing services. AWS database service provides all the database service needs we might have. Let's talk about two database uh services in specific. RDS. RDS is an web service that is designed to simplify the setup, operation, and scaling of the relational database in the cloud. And Dynamo DB is an fast and flexible NoSQL database service which is well known for its low latency and scalability performance. Network and content delivery service contributes to the uh infrastructure as a service side of the cloud. It provides a secure cloud infrastructure and connects our physical network to our private virtual network with low latency and high transfer speeds. And under networking and content delivery services, VPC is virtual private cloud networking in the cloud. Route 53 is the DNS service in the cloud. And direct connect is a service that connects our on premises with AWS environment through point-to-point cables. and CloudFront is content delivery network or caching service throughout the world. Let's talk about the VPC for a while. VPC it enables us to launch AWS resources into a virtual network that we define in the cloud. VPC resembles very similar to our office network with uh subnets, firewalls, private zones, public or DMZ zones and lot more. We can also create a VPN connection between on premises and cloud environment through this VPC and route 53. It is a scalable and highly available domain name system web service that helps to route the end users to the internet application. Now AWS is an domain registar as well and uh here we can buy domain names for our organization and use them to mask the IP addresses behind it. And by the way, if you didn't know already, DNS is the one that translates human readable names like uh www.xyz.com into the numeric IP address. Let's talk about developer tool services. Now developer tool services in Amazon provides services where developers can store and application source code and automatically build, test and deploy applications on AWS out of which AWS codear enables us to quickly develop, build and deploy applications in AWS. And code build is a fully managed build service that compiles source code, runs test, and produces software packages that are ready to deploy. And code deploy on the other hand is a service that automatic that automates is a service that automates software developments to a variety of compute services including Amazon EC2, Amazon Lambda, and even instances running on premises. and AWS code pipeline is a continuous integration and continuous delivery service for fast and reliable application and infrastructure updates. Let's talk about uh codear. Codestar is a service designed for developers where they can quickly deploy, build and develop applications on AWS. AWS codear provides a unified user interface enabling us to easily manage our software development activities in one place. With AWS Codear, we can set up our entire continuous delivery tool chain in minutes, allowing us to start releasing codes faster. And not only that, AWS Codear makes it easy for you or your whole team to work together securely, allowing you to easily manage access and add owners, contributors, and viewers to our project. And not only that, AWS Codestar project comes with a project management dashboard, including an integrated issue tracking capabilities provided by Jira software. With the uh AWS codear project dashboard, we can easily track progress across our entire software development process from our backlog of work items to teams recent code deployments so on and so forth. AWS code build on the other hand is an cloud service that enables an IT developer to build and test code with continuous scaling. Now here you pay only for the build time that you have used. Now code build is an fully managed service that helps compiling source codes and run tests and produce software packages that are ready to deploy. AWS code with AWS code build we there is no need for us to provision manage and scale our own build servers. Code build scales continuously and process and processes multiple bills concurrently. So our bills are not left waiting in the queue because it's processed concurrently. Let's talk about security identity and compliance services available in Amazon. In general, the security identity and complaint services in Amazon helps us to maintain a secure environment in Amazon by providing services for user authentication for limiting the access to certain set of users on the AWS environment out of which I am or identity and access management. It's a product that enables us to manage access to AWS services and resources that enables us to manage access to AWS resources and services in a secure fashion. Using AM we can create and manage AWS users and groups and use permissions to allow and deny their access to AWS resources. On the other hand, KMS or key management service is a managed service that makes it easy for us to create and control the encryption keys used to encrypt our data. And Cognto, it lets us to add user sign up, sign in, and access control to our web and mobile apps quickly and easily. And WAFT or web application firewall helps us to protect our web applications from common web exploits that could affect application availability that could compromise security or consume excessive resources. And WAFT it gives us good control over which traffic to allow or block to our applications by sort of defining customizable web security rules. We can use WFT to create custom rules that block common attack patterns such as uh SQL injections or uh cross-sight scripting. And we can also create rules that are designed for our specific application. Out of all the four identity and access management, it helps us to control access to AWS services and resources for our users. With the identity and access management, I can restrict user access or I can give a user complete access to the environment. If it's an admin, I can assign complete access. And if it is a user, I can provide uh some privileged access or less or degraded or no access depending on the role that the user plays in the organization. And KMS is a service that helps us to create and control the encryption keys used to encrypt the data. And also uh we can use hardware security model HSM to protect the security of our data in the cloud. Also we can use hardware security model to protect the security of the key itself. And let's talk about the management tools and services available in Amazon. Management tools and services. It helps us to manage, monitor and automate all the resources running in the AWS infrastructure. Beginning with Cloudatch, a service which monitors the environment by receiving logs and creating a dashboard and sending alerts as needed. and cloud formation, a service that u a service through which we can deploy new environments using just templates and autoscaling a product that lets us to handle the dynamic traffic with ease by dynamically scaling up and scaling down the environment as needed. And cloud trail is another product or another monitoring tool that helps us to monitor or collect the logs of all the API calls to our environment and provides a searchable tool based on keywords and timestamps. Let's talk about cloudatch a bit more detail. Now cloudatch is a monitoring service for AWS. With cloudatch we can collect we can track the metrics. We can collect and monitor log files. We can also enable Cloudatch to set alarms and automatically react to changes in the AWS environment. Cloudatch can also monitor AWS resources such as EC2 instances, Dynamob tables, Amazon RDS instances as well as custom metrics generated by your application and services and any log files your applications would generate. Now we can use Cloudatch to get a systemwide visibility into resource utilization, application performance and operational health. We can use these insights to react and keep your applications running smoothly. And cloud formation on the other hand provides a common language for us to describe and provision all the infrastructure resources in our cloud environment. Now cloud form allows us to set up and model all our AWS resources so that we can spend less time in managing those resources and more time on our application. Now cloud formation is really an infrastructure as a code service where I can build an infrastructure based on the portable template I might be carrying. All right, in this demo session we'll talk about how to install genkins on Amazon Linux EC2 instance and before that let's talk about what is Genkins and what is the purpose of it, why it is used and all that stuff. Now what is Genkins? Now, Genkins is an open-source automation server and it provides lot of in-built plugins for deploying and automating any project. In short, you know, it's an continuous integration server and it is used for many purposes used for tasks that take care of continuous deployment and uh delivery and it provides these advantages like the developer now will not have to focus on fixing errors because errors are automatically handled by genkins and because of that it leads to faster development environment. All right, so how do we go about doing it? Let's get started. The first thing is to go to our console and uh launch an EC2 instance. Actually, let me walk you through the steps through the PPT and then I'll show it in the console. So, let me first walk you through the steps in installing a Genkins server. In this lab, we're going to launch an VM or a virtual application server to host our Genkins installation and then we are going to deploy Genkins on top of it and then configure it as an build server. And for this we will need an AWS account to begin with and then a bit of experience in Genkins and then some familiarity on EC2 and how EC2 gets connected to VPC stuff like that. So when we're all done this is how the architect is going to look like you know users they get connected to EC2 instance which is a genin server and then there are slaves build slaves that can be monitored that can be used in deployment by the genin server. So let's see how it is done. All right. So let's first launch a server. Let it be an u Amazon Linux instance. I'm going to pick T2 micro because of the free eligibility and because this is a lab. That should be more than enough. And I'm going to keep this as default. You know, I'm going to stick with the default VPC. And I'm going to keep all the settings as defaults. And then I'm not going to add a storage. I'm going to keep the storage limited with the root volume. And then for security group, because we're going to access it through the internet, I would like port 80. In fact, since this is a lab environment and since I'll be tearing it down right after the lab is over, we're going to use all IP or we're going to use anywhere all traffic anywhere view and launch. And I already have a key pair that I have created. If you're not familiar with creating key pair, launching EC2 instance, you might need to spend some time watching the AWS EC2 video. That would help. So I already have a key pair that's attached to this account in this region. So I'm using that key pair to launch the instance. All right. And that's my genkins server. All right. So once that is installed, let's log into it. Since this being an Linux instance, I'm going to use putty to login and then use the key pair that we have downloaded to log in. And the key pair was right here. All right. Now I'm connected to it. As first thing we will have to install the Java environment. I'm going to show some commands towards the end. So if you're planning to do labs yourself, you can use those commands. They will be very handy. In fact, I can show it right now as we speak. So these commands are to install Java environment and it has two versions as we speak and I've chosen the latest version. So I've typed two and I've chosen the latest version in installing Java environment. The second is to install Apache Maven. Let me show you some commands that's used to install Apache Maven. And these commands vary from you know Linux version to Linux version. So if you're using a different Linux version, just be sure that you're using commands which are respective to that particular version. Right? Let's install Apache Maven. Looks like some of them are already installed and it's showing error for some but anyway it's an in it's considered unsuccessful installation and then let's install genkins and the commands to install genkins is right here. So these are to install genkins and I mean to download the software and install it and then start the genkins and make sure the genkins stays running even after a reboot. So let's run these commands. All right. Now Genkins should be ready or the genkins server is installed in our EC2 instance and it is ready for us to access. And the default port is port 8080. So let me go to the URL or IP. Let me go to that and then try accessing it using port 8080. There you go. So at the moment it's locked. It requires admin password to login and the admin password is present in this particular folder and this particular file in the Linux instance. So let me get that. Okay. One moment. Looks like the admin password is not present. Just give me one quick moment. Okay, it's just a permission issue. Let me check the password in that folder again with the elevated permissions. There you go. There's my password. All right. Once we're logged in, we can install all the suggested plugins. Now that's going to take some time to run and install all the selected all the default plugins needed to run a Genkins server. All right, it's done. Now as next thing it's going to ask for the admin username and password. You can choose as an existing administrator or you can also create an another admin user. In this case, I'm going to create another admin user. All right. So, the genkins server is installed. We can use the similar but slightly different procedure on the genkin nodes or the slave servers to make them genin slave and you know respond to the bills that we push or receive the bills or receive the jobs that we push through this genkins server. So we have built this um genkins server on Amazon AC2. A similar and slightly different procedures can be followed to build genkins build servers that can contact genkins server to receive jobs and you know start working. Thank you for watching. I believe you enjoyed the session. I'll meet you in another session. >> Let's dive straight into the top AWS services. So guys, our first service is Amazon EC2 which stands for Elastic Compute Cloud. So basically what it is, Amazon EC2 basically lets you rent virtual computers which is servers in the cloud. You can use them to run your applications without having to buy your own physical servers. And you'd be questioning that why this service is so important. So guys, the reason is that businesses no longer need to invest in expensive physical servers which can be difficult to maintain and scale. So EC2 allows companies to adjust their computing power based on the current needs ensuring they only pay for what they use. This flexibility helps companies to save cost during low traffic periods and manage high demand during peak times all without worrying about maintaining physical infrastructure. Now let me propose a case study where a company named Airbnb used EC2. So guys this was the challenge. Airbnb experienced issues with scaling during high traffic periods such as holidays and during major events which leading them to system slowdowns and potential outages. Managing their own server was very very costly and time consuming as they had to predict demand and manually add capacity which often led to over and under poisoning. Now I'll explain what over and under poisoning is but let us first look at what are the issues they faced. The first one they had the scaling issue which means that high traffic periods during holidays caused slowdowns and outages. Then there was a problem of server management. Managing physical servers was very expensive and complex. Then they had unpredictable demand. It was very hard to predict traffic spikes which led them to capacity problems. Then there was manual capacity addition. It also required manual intervention to scale up during the resources. And finally they had over or under poisoning which mean that often they had many servers or few servers which led to wasting resources or causing slowdowns. Now what was the solution guys? So after moving to Amazon EC2 Airbnb could automatically scale its infrastructure up and down based on the demand. EC2's pace as you go model allowed them to avoid the cost of overprovisioning and handle peak traffic seamlessly. So guys, there is some statistics which I want to share that Airbnb infrastructure scaled up by 3x during the peak period using EC2's autoscaling feature which led them to zero downtime during high demand seasons. They also reduce infrastructure costs by 20% by paying only for the capacity they needed. Now let us move to our second service. So guys our second service is Amazon S3 or simple storage service. What it is guys? Basically Amazon S3 is a cloud storage where businesses can store and retrieve any amount of data like documents, videos and backups. Why it was important guys? Basically S3 provides virtually unlimited secure storage that automatically scales with your needs. It eliminates the need for businesses to purchase and manage physical storage hardware. S3 also integrates easily with other AWS services making it a key component for storing large amount of data like backup application files or even media streaming content. Its high durability is around 99.99% which ensures that your data is safe and always accessible. Now let us look at a case study of Netflix. So guys during 2012 Netflix faced a massive outage due to a failure in their data storage system resulting in downtime that cost them millions in lost in revenue. Their existing infrastructure could not handle the massive amount of content that required constant maintenance. Now there are some of the problems with Netflix faced. The first one is massive outage which means that Netflix experienced a major data storage failure in 2012. Then they had to go through a significant downtime. This outage resulted in millions of dollars in lost revenue. They had inadequate infrastructure. Their existing storage system couldn't handle the large content volume. Then there was scalability issues and also constant maintenance. The infrastructure struggled to scale up with the growing user demand and also caused them lot of problems. Now after migrating to Amazon S3, Netflix was able to store massive amount of data. S3's scalability allowed Netflix to handle global content distribution without interruptions or data loss. Now let me show you some statistics, guys. So Netflix now streams to over 230 million users globally with S3 handling 1,000 pabytes of video content approximately. The switch to S3 reduced Netflix data loss risk to near zero and downtime dropped by 90%. So guys this was one of the case study where Netflix used S3 and this was the amazing result that they got. Now let us see of the one of the next Amazon web services which is Amazon RDS or Amazon relational database service. So what it is guys? RDS is a managed database service that takes care of setting up, maintaining and backing up databases for you. Why it is important guys? Because managing databases can be time consuming. It involves task like software updates, backups and scaling. RDS automates these tasks freeing up valuable time for businesses to focus on the other core activities with features like automated backups, multiszone availability and easy scaling. RDS helps businesses to ensure their databases are always running smoothly and securely without the headache of manual intervention. Now we'll take again the example of Netflix. So guys during this phase also Netflix suffered from a critical database outage leading to a data corruption and millions in losses. Managing on promises database was very very difficult as backups scaling and disaster recovery required significant resources and manual effort. Now these are some of the problems which Netflix faced. The first one was critical database outage where Netflix experienced a major database failure. Then they had to go through data corruption where this outage caused significant data corruption. There was massive losses because there was incident resulted in millions of dollars in losses. Then there were some on-premise challenges like managing their on-premise database was very complex and inefficient and there was also lack of automation because manual database management increase the risk of failure. So guys by using Amazon's RDS Netflix automated database backups patching and scaling RDS multi-aser deployment provided high availability and fault tolerance which ensured that data losses during the failure outages are very very minimal. Now there is some statistics that Netflix reduced its database recovery time from hours to minutes in using RDS. Their database operational cost also dropped by 50%. And due to the automated management features see how this service was very useful for Netflix. Now let us move ahead and try to understand our next service which is AWS Lambda. But before we discuss this service just a quick info guys. Simply learn has got cloud architects master program. You can master AWS, Azure, Google Cloud with the cloud architects course. You will build expertise in AWS, Microsoft Azure, GCP with the cloud architect certification course. You'll also receive exam vouchers which is included on any Azure course. You'll access official AWS authored self-arning content. Plus, you'll also master cloud architectural principles, design, and also deploy a scalable service on cloud platforms. So guys, hurry up now and join the course. The course link is mentioned in the description box. Now let us move ahead in the discussion of what is AWS Lambda. So guys, Lambda lets you run your code in the cloud without having to manage servers. Basically, it automatically scales up when needed and only charges for the time your code runs. Why it is important, guys? Because Lambda allows businesses to run code without worrying about servers or infrastructure, paying only for the compute time used. This means companies can handle fluctuating traffic without having to overprovision servers, which means that it will help in saving cost and reducing complexity. Lambda is ideal for event-driven applications where tasks are triggered based on the specific events such as a file upload or a user action. Now there's a company called iroot guys. So iRoot needed to process large volumes of data from millions of Roomba devices worldwide. Managing servers to handle this real-time data was very very complex and expensive especially when usage fluctuated. Now there was some problem guys with this that they had high data volume. They had realtime processing problems. They had a problem of server management. Then the cost challenges also came up and the scalability issues. Then iroot adopted AWS Lambda's serverless architecture to automatically scale based on the number of incoming requests. They no longer had to manage servers or pay for idle time as Lambda only charges for the exact compute time used. So guys, what was the result? That iRoot saw a 90% reduction in infrastructure cost by using Lambda's pay-per-use model. Lambda processed over 20 million events per day, scaling effortlessly without manual intervention. So guys, these were the success story of iRoot by using the AWS Lambda service. Now let us move ahead and discuss about our next service which is Amazon CloudFront. So guys, what is CloudFront? Basically CloudFront is a content delivery network that speeds up the delivery of websites, videos and other data to the users around the world. Why it is important guys? Because CloudFront reduces the time it takes to deliver the content to users, particularly those located far from the origin server. This is crucial for businesses that need to provide a fast and seamless experience to global audiences. Whether it's delivering videos, web applications or large files, CloudFront ensures low latency access improving the user satisfaction and engagement. So guys, you have heard about a company called Slack. Slack once experienced high latency and slow message delivery for users located far from their data centers. This created delays and inconsistent user experience especially for global teams collaborating in real time. Now let us see what were the problems faced by Slack. They had a problem of high latency where I have told you that users far from Slack's data center experience significant delay in message transmission. The slow message delivery was there. Geographical impact was one of the problem where the latency issues were more pronounced for global teams collaborating across distant locations. Then if we talk about real-time collaboration were also hindered. This delayed caused challenges for teams that rely on real-time communication which finally affected and disrupting the workflow and finally they had inconsistent user experience. So guys, by implementing Amazon's CloudFront, Slack was able to cache and deliver content from edge location closer to the users, reducing latency and improving overall performance. CloudFront's integration with AWS Shield also improved security against potential DDoS attacks. Now after using the service, Slack reduced the latency by 50% globally, providing realtime messaging to 10 plus million daily active users. They also experienced 40% faster file uploads and improved performance for international teams. So guys, this was a success story of Slack. Now let us move ahead and discuss about our next service which is Amazon EBS or Elastic Book Store. So guys, what it is? Basically, Amazon EBS provides high performance storage for application running on EC2 instance. It is like a virtual hard drive that you can attach to your EC2 server. Why it is important guys? Because EBS offers fast, reliable and persistent storage for applications that require consistent high performance storage like databases or big data applications. Businesses can scale storage up or down as needed. EBS automatically backs up the data with snapshots which ensures minimal downtime and data loss. So guys, there's a company called Expedia which faced performance issues with their existing storage system. It struggled to handle high volume of transactions during peak booking times leading to slow response times and frustrated customers. They had performance issues. They had high transaction volume problem like as I've told you during the booking busy periods. Then they had slow response time where customer experienced slow response affecting their ability to complete bookings efficiently. Then they had the problem during the peak booking. They faced challenges where the problem was basically the performance issues. Now the customers were also frustrated. So what Expedia did was Expedia migrated their databases from Amazon EBS which offered consistent low latency performance and automatic scaling to meet high demand periods. EBS also provided robust snapshots backups for disaster recovery. As a result, Expedia improved booking transaction speeds by 35% ensuring fast response time during their pre-travel seasons. They also increased their data through output by 2x supporting millions of daily searches queries without the delays. So this was a success story of Xedia guys. Now you'd be excited to know the next success story. So our next AWS service is Amazon VPC or Amazon virtual private cloud. What is Amazon VPC? Basically, VPC allows businesses to create a secure private network in the AWS cloud, giving them control over how their data and applications interact with the internet. Why this is important, guys? Basically, VPC provides businesses with full control over their cloud network, including IP addresses, subnets, and security. It allows businesses to securely connect their onremises infrastructure to the cloud and ensures that sensitive data is kept separate from the public internet. For industries like finance and healthcare, this level of security is critical for meeting regulatory compliance. What was the challenge guys? So there is a company name called Capital One. Capital One needed a secure and scalable cloud solution to manage its sensitive financial data while meeting strict regulatory requirements. Their on-promises infrastructure was expensive to maintain and difficult to scale securely. So guys, they had problems like need for security, scalability challenge, they had a problem of regulatory compliance, they had high maintenance cost and they it was very difficult to scale securely. So guys, by creating an isolated virtual private cloud, Capital One securely migrated its application and data to AWS. VPC gave them full control over their networking environment, ensuring compliance with data privacy regulations while reducing infrastructure costs. Capital One basically reduced their infrastructure management cost by 30% by using the VPC. They achieved 99.99% of uptime for critical applications thanks to secure scalable cloud infrastructure of VPC. So guys this was one success story of capital one. Now let us look at another Amazon web service which is Amazon AM or Amazon identity and access management. What it is guys? Basically, IM lets businesses control who can access their AWS resources by setting permissions and user roles. It is important because IM ensures that only authorized individuals can access sensitive resources, reducing the risk of security breaches. It's a critical tool for controlling access in large organizations where multiple teams need different level of access to cloud resources. IM also supports multiffactor authentication which adds an extra layer of security. Now what is the challenge guys which a company named Autodex faced? So Autodex had a global workflows and managing users to access various AWS resources was becoming very complex. They needed a way to ensure that only authorized users could access sensitive data and resources while maintaining security across the board. So they faced a problem of complex user access management. Then there was a need for authorized access. Then there was a global workforce challenge with Autodesk faced. Then they had to also maintain their security standards. And they had a problem of access control. They needed a solution on access control where a more efficient and a scalable system was required by Autodesk to simplify and secure user access management across the AWS resources. So guys, Autodesk implemented AWS IM to manage permissions and access control across their global team. With IM they created detailed user roles and policies ensuring secure access based on need and reducing the risk of data breaches. So guys Autodesk reduced unauthorized access incidents by 60% after implementing IM. They decreased the time spent on access management by 40%. Thanks to the IM's centralized control system and that was possible. So this is how Autodesk solved this problem. Now let us move ahead and discuss about our next service. This is a very amazing service guys. Its name is Amazon SQUS or Amazon simple Q service. Basically Amazon SQS is a messaging service that allows components of systems to communicate with each other by sending and receiving messages between distributed applications. Why it is important guys? Because SQS allows systems to scale independently by decoupling tasks, meaning different part of an application can work on their own schedule without being dependent on one another. It's useful for batch processing, eventdriven applications and microservices. I know it sounds bit of a technical jargon but these are some of the scenarios where SQS is used. So guys, you have heard about this famous company called Disney Plus. Disney Plus face challenges in managing their large volume of user request especially during their release of popular shows and movies. Handling real-time requests without overloading the system was a constant issue. They faced problem like high user request volume, realtime request handling. Then system overload risk was there because the platform constantly struggled with the risk of system overload during peak viewing times. Scalability challenges were also there because handling large number of concurrent users required scalable solution and also consistent user experience means they ensure to have a smooth and uninterrupted experience for all the users during high demand periods which was not happening. Now Disney Plus adopted Amazon SQS to ceue and process task efficiently decoupling their application components. This ensured that tasks such as streaming requests were processed smoothly even during high traffic periods. And finally, Disney Plus handled over 1 million requests per second during peak streaming periods with SQS ensuring no message was lost. The use of SQS improved systems performance by 25% enabling Disney Plus to deliver uninterrupted streaming experiences. So guys, this is a success story of Disney Plus. Now let us move ahead and discuss about our final service. Can you guess it guys? Yes, it is Amazon Dynamo DB. Dynamob is a fully managed NoSQL database service that is fast and scalable. It is ideal for applications that need to handle large amount of data with low latency. So this is the thing. Now you would be wondering why Dynamo DB is important. So guys, DynamoB is very essential for applications that experience rapid growth or fluctuating demand. Unlike the traditional databases, they might struggle to keep up the volumes of traffic. But Dynamo DB can automatically scale up to handle millions of requests per second. This is just something which I told you. Let me elaborate this by the story of a company called Lyft. So guys, Lyft needed a database that could handle millions of write requests in real time. But their traditional database systems could not scale efficiently to meet the demand leading to slow response time during busy hours. They had problem like real-time data handling, scaling limitations. They had they had high request volume, they had slow response times and also they needed a scalable solution for this problem. Now here comes the Dynamob. Lyft switched to Amazon's Dynamob which provided fast, scalable and serverless architecture with NoSQL database services. Dynamob ability to handle millions of requests per second ensured that Lyft could match drivers with riders in real time without latency. Now this is the thing which Lyft has seen. Lyft processed over two million ride request per day with Dynamob scaling automatically to meet the peak demand. They improved the response time by 70% ensuring a smooth experience for both drivers and writers. This is how Lyft solved this problem. What amazing service is Dynote? So let's start with what is AWS EC2? In simple terms, AWS EC2 is a web service that lets you rent machines, also known as instances. To run your applications, think of it as a renting powerful computer or server that you don't need to own or manage physically. You can choose the specification of machine like its processor, memory, and storage based on your requirements. And AWS takes care of all the maintenance, upgrades, and physical infrastructure behind the scenes. Before the cloud, if you wanted to run a web application or store data, you needed to buy physical servers. These servers took up space, required a lot of resources to manage and had a fixed processing power. EC2 makes all that obsolete providing scalable computing power at a fraction of a cost. Now let us try to understand what is instance. Now in the context of EC2 an instance refers to a virtual machine that runs on the AWS infrastructure. When you launch an EC2 instance you are essentially spinning up a virtual server that can run software, handle data and power applications just like physical server. Each instance can run an operating system such as Linux, Windows or Mac OS and perform tasks like hosting a website, running a database or supporting a web application. These instances have various configurations based on the amount of CPU, memory or storage they provide which is ideal for different use cases. Now let us talk about what are the differences between instance and service. One point of confusion for beginners is understanding the difference between an EC2 service and an instance. So here's a simple way to think about it. Think of it EC2 service as an entire platform or offering provided by AWS which gives you access to all the resources, tools and capabilities needed to create and manage virtual machines or instances. If we talk about instance, an instance is a actual virtual machine that lets you create using your EC2 service. So EC2 is a tool and instance is a object you create with it. It's like going to car a rental company like EC2 and renting a car instance. The company EC2 provides the vehicle you need to select on that it fits your needs which is basically the instance. Now you would be wondering why to choose AWS. So why should you use EC2 over traditional physical servers? The answer lies in the flexibility and cost effectiveness. In traditional computing, companies had to buy and maintain physical hardware. Scaling up or down meant by buying new servers and adding more resources manually. This could be expensive and timeconuming. With EC2, you can scale up or down instantly. If you need more computing power, you can add more instances or switch to a higher performance instance type. If you need less, you can scale down just as easily. Now if I talk about the next reason that is pay only for what you use. So EC2 charges based on the amount of compute resources you use. You don't have to worry about an ideal servers paying for unused capacity. Think of it as like pay as you go model which makes EC2 highly cost effective especially for startups or small businesses. Next is it also eliminates hardware management. AWS handles the hardware so you don't need to worry about the server maintenance replacements or upgrades. Now let us discuss about EC2 instance type choosing the right fit. So if I talk about AWS, it offers wide variety of EC2 instance types to cater to different use cases. Whether you are hosting a small website or running high performance application, there's an instance type suited for your needs. So here are some of the common instance type. The first one is general purpose instances. These are balanced instances and that offer a mix of CPU, memory and network performance. They are suitable for most applications such as web server, small databases. Compute optimized instances. These instances provide more CPU power making them ideal for workloads that require heavy computation like scientific simulations or video rendering. Next one is memory optimized instances. If your application needs large amounts of RAM, then these instances are a good fit. They are perfect for memory intensive task like in-memory caches or large scale data processing. Now let us discuss about the storage optimized instances. These instances provide high input output performance for applications that require large amount of fast storage such as big data analytics and data warehousing. When choosing an instance, consider factors like CPU requirements, memory, and storage needs. AWS offers detailed specifications for each instance type, making it easy to find the right one. Now, let us discuss about bustable performance instances or lowcost flexibility and how these are incorporated. So if I talk about burstable performance instances such as T2 series which are designed for workloads that don't require constant high performance but occasionally needs bursts of power. These instances are cost effective because they only use CPU power when necessary. When idle, they accumulate CPU credits that can be used when a spike in demand occurs. For example, a website that typically receives a small number of visitors but occasionally experience traffic spikes during promotions can benefit from a burstable instance. This saves money while ensuring the website performs well when the traffic increases. Next, we have cluster networking instances or high-speed communication. Cluster networking instances are a special type of EC2