Comprehensive AWS and Azure Cloud Computing Course Summary and Key Projects

Hello and welcome to this cloud computing full course by simply learn. Did you know that the cloud engineers

are among the most in demand professionals today? As more companies shift online, cloud computing is rapidly

expanding making skilled cloud professional highly valuable. With excellent salaries and career growth

opportunities, it's a great time to enter this field. But what exactly is cloud computing? In simple terms, it is

the delivery of service like storage, computing power and networking over the internet known as the cloud. This

technology allows businesses to scale quickly and efficiently. So in this course, we will walk you through

essences topics such as an introduction to cloud computing and steps to become a cloud engineer. We will also cover cloud

security, compare AWS and Azure and explore every topic you need to know in order to master cloud computing and AWS.

We will also discuss project ideas and certification to boost your cloud computing career. So before we begin, if

you are interested in getting certified in cloud, check out Simpson's cloud architect certification program. Build

expertise in AWS, Microsoft Azure and GCP with our cloud architect certification course. Plus, we have

included an exam voucher for any one Azure course. So you can get certified hassle-free. Gain access to official AWS

authorized self-arning content and master the ins and outs of cloud architectural principle. So don't forget

to check out the course link from the description box below and the pin comment. So without any further ado,

let's get started. Imagine you're the owner of a small software development firm and you want to scale your business

up. However, a small team size, the unpredictability of demand and limited resources are roadblocks for this

expansion. That's when you hear about cloud computing. But before investing money into it, you decide to draw up the

differences between on-remise and cloud-based computing to make a better decision. When it comes to scalability,

you pay more for an on-remise setup and get lesser options, too. Once you've scaled up, it is difficult to scale down

and often leads to heavy losses in terms of infrastructure and maintenance costs. Cloud computing on the other hand allows

you to pay only for how much you use with much easier and faster provisions for scaling up or down. Next, let's talk

about server storage. On premise systems need a lot of space for their servers, notwithstanding the power and

maintenance hassles that come with them. On the other hand, cloud computing solutions are offered by cloud service

providers who manage and maintain the servers, saving you both money and space. Then we have data security.

On-remise systems offer less data security thanks to a complicated combination of physical and traditional

IT security measures. Whereas cloud computing systems offer much better security and let you avoid having to

constantly monitor and manage security protocols. In the event that a data loss does occur, the chance for data recovery

with on-remise setups are very small. In contrast, cloud computing systems have robust disaster recovery measures in

place to ensure faster and easier data recovery. Finally, we have maintenance. On premises systems also require

additional teams for hardware and software maintenance, loading up the costs by a considerable degree. Cloud

computing systems on the other hand are maintained by the cloud service providers, reducing your costs and

resource allocation substantially. So now thinking that cloud computing is a better option, you decide to take a

closer look at what exactly cloud computing is. Cloud computing refers to the delivery of ondemand computing

services over the internet on a pay as you go basis. In simpler words, rather than managing files and services on a

local storage device, you'll be doing the same over the internet in a costefficient manner. Cloud computing

has two types of models, deployment model and service model. There are three types of deployment models: public,

private, and hybrid cloud. Imagine you're traveling to work. You've got three options to choose from. One, you

have buses, which represent public clouds. In this case, the cloud infrastructure is available to the

public over the internet. These are owned by cloud service providers. Two, then you have the option of using your

own car. This represents the private cloud. With the private cloud, the cloud infrastructure is exclusively operated

by a single organization. This can be managed by the organization or a third party. And finally, you have the option

to hell a cab. This represents the hybrid cloud. A hybrid cloud is a combination of the functionalities of

both public and private clouds. Next, let's have a look at the service models. There are three major service models

available. EAS, pass and SAS. Compared to on-remise models where you'll need to manage and maintain every component

including applications, data, virtualization, and middleware, cloud computing service models are

hassle-free. Refers to infrastructure as a service. It is a cloud service model where users get access to basic

computing infrastructure. They are commonly used by IT administrators. If your organization requires resources

like storage or virtual machines, is the model for you. You only have to manage the data runtime, middleware,

applications, and the OS while the rest is handled by the cloud providers. Next, we have pass. Pass or platform as a

service provides cloud platforms and runtime environments for developing, testing, and managing applications. This

service model enables users to deploy applications without the need to acquire, manage, and maintain the

related architecture. If your organization is in need of a platform for creating software applications, pass

is the model for you. PASS only requires you to handle the applications and the data. The rest of the components like

runtime, middleware, operating systems, servers, storage, and others are handled by the cloud service providers. And

finally, we have SAS. SAS or software as a service involves cloud services for hosting and managing your software

applications. Software and hardware requirements are satisfied by the vendors. So you don't have to manage any

of those aspects of the solution. If you'd rather not worry about the hassles of owning any IT equipment, the SAS

model would be the one to go with. With SAS, the cloud service provider handles all components of the solution required

by the organization. Time for a quiz now. In which of the following deployment models are you as the

business responsible for the application data and operating system? One is two pass three SAS four is and pass. Let us

know your answer in the comment section below for a chance to win an Amazon voucher. Meet Rob. He runs an online

shopping portal. The portal started with a modest number of users, but has recently been seeing a surge in the

number of visitors. On Black Friday and other holidays, the portal saw so many visitors that the servers were unable to

handle the traffic and crashed. Is there a way to improve performance without having to invest in a new server?

Wondered Rob a way to upscale or downscale capacity depending on the number of users visiting the website at

any given point. Well, there is. Amazon Web Services, one of the leaders in the cloud computing market. Before we see

how AWS can solve Rob's problem, let's have a look at how AWS reached the position it is at now. AWS was first

introduced in 2002 as a means to provide tools and services to developers to incorporate features of Amazon.com to

their website. In 2006, its first cloud services offering was introduced. In 2016, AWS surpassed its 10 billion

revenue target. And now AWS offers more than 100 cloud services that span a wide range of domains. Thanks to this, the

AWS cloud service platform is now used by more than 45% of the global market. Now let's talk about what is AWS. AWS or

Amazon Web Service is a secure cloud computing platform that provides computing power, database, networking,

content storage, and much more. The platform also works with a pay as you go pricing model, which means you only pay

for how much of the services offered by AWS you use. Some of the other advantages of AWS are security. AWS

provides a secure and durable platform that offers end to-end privacy and security experience. You can benefit

from the infrastructure management practices born from Amazon's years of experience. Flexible. It allows users to

select the OS, language, database, and other services. Easy to use. Users can host applications quickly and securely.

Scalable. Depending on user requirements, applications can be scaled up or down. AWS provides a wide range of

services across various domains. What if Rob wanted to create an application for his online portal? AWS provides compute

services that can support the app development process from start to finish. From developing, deploying,

running to scaling the application up or down based on the requirements. The popular services include EC2, AWS

Lambda, Amazon Light Cell, and Elastic Beantock. For storing website data, Rob could use AWS storage services that

would enable him to store, access, govern, and analyze data to ensure that costs are reduced, agility is improved,

and innovation accelerated. Popular services within this domain include Amazon S3, EBS, S3 Glacier, and

Elastic File Storage. Rob can also store the user data in a database with AWS services, which he can then optimize and

manage. Popular services in this domain include Amazon RDS, Dynamo DB, and Red Shift. If Rob's businesses took off and

he wanted to separate his cloud infrastructure or scale up his work requests and much more, he would be able

to do so with the networking services provided by AWS. Some of the popular networking services include Amazon VPC,

Amazon Route 53, and Elastic Load Balancing. Other domains that AWS provides services in are analytics,

blockchain, containers, machine learning, internet of things and so on. And there you go. That's AWS for you in

a nutshell. Now, before we're done, let's have a look at a quiz. Which of these services are incorrectly matched?

1 [Music] 2

3 4. We'll be pinning the question in the comment section. Comment below with your

answer and stand a chance to win an Amazon voucher. Several companies around the world have found great success with

AWS. Companies like Netflix, Twitch, LinkedIn, Facebook, and BBC have taken advantage of the services offered by AWS

to improve their business efficiency. And thanks to their widespread usage, AWS professionals are in high demand.

They're highly paid and earn up to more than $127,000 perom. Once you're AWS

certified, you could be one of them, too. Hello everyone, welcome back to the channel. Today, I want to take you on a

journey that could transform your career, much like how cloud computing has transformed some of the world's most

innovative companies. Imagine Netflix, once a DVD rental service transforming into a streaming giant capable of

delivering highdefinition content to millions of users simultaneously. Or consider Airbnb, which has used cloud

computing to manage listings and bookings for millions of properties around the globe, providing a seamless

experience for host and travelers alike. Both Netflix and Airbnb utilized cloud technologies to efficiently scale their

businesses, manage large volumes of data and ensure high availability and performance. So by transitioning from

traditional costly and inflexible on premises infrastructure to scalable cloud environments, they significantly

reduce cost, accelerated innovation and improved user experience in real time. Now you might think that working on such

impactful projects requires years of experience and advanced degrees. But there's the good news guys. With the

right approach, you can start a career in cloud engineering in just 3 months. even if you are starting from scratch.

In this video, I will outline a clear, actionable plan that uses entirely free online resources to get you there. We

will cover the essential skills you need to learn, the certifications that can help validate your knowledge, and

practical projects that will make your resumes stand out. So, if you're ready to dive into the world of cloud

computing and perhaps one day contribute to the next big thing in tech, so stay tuned, guys. So, let's get started. And

the number one point you should start with is starting your cloud journey. So transitioning into cloud engineering may

seem daunting especially if you are new to this field. The first step is understanding why this is a valuable

career move. The cloud industry is booming with a projected market value of $800 billion by 2025 and the potential

to grow even further. This growth means a constant demand for skilled professionals making it an excellent

time to enter the field. Now that we understand the industry's potential, the next question is where should you start?

So you should choose a cloud provider. So choosing a cloud provider is a critical decision as it shapes your

learning path and future jobs opportunities. So the three major players are AWS, Azure and Google Cloud

Platform GCP. So starting with AWS. So AWS that is Amazon web services is often recommended for beginners because it has

the largest market share and a wide range of services which translates into more job opportunities. Now coming to

Azure that is another strong option especially if you're targeting jobs in enterprises that use Microsoft

technologies. Now coming to GCP that is Google cloud platform and it is gaining popularity and offers excellent features

especially in data analytics and machine learning. For beginners AWS is popular choice due to its widespread use and

extensive documentation. However, it's important to research the demand in your local job market and consider your own

interest when making a decision. And with the cloud provider chosen, the next step is to build a strong foundation in

the fundamental technologies that underpin cloud computing. So now before diving into cloud specific services,

it's essential to understand the foundational technologies that cloud computing relies on. These include

number one comes networking. So understanding how data moves across networks is crucial for setting up and

managing cloud infrastructure. Then comes operating systems. Familiarity with operating systems particularly

Linux is essential as most crowd environments run on Linux servers. Then comes virtualization. So this is the

process of creating virtual instances of physical hardware. That's a core concept in cloud computing. And then comes

databases. So knowledge of databases both relational and non-reational is critical for managing data in the cloud.

So with these foundational skills in place you are now ready to explore cloudspecific learning paths. So let's

start with certifications. So certifications can validate your knowledge and make you stand out in the

job market. For AWS, starting with the AWS cloud practitioner certification is advisable. This certification provides a

broad overview of cloud concepts and AWS services. It covers key areas such as compute services, storage options,

security measures, networking capabilities, and billing and pricing structures. Now coming back, while

certifications are valuable, they need to be complemented with practical hands-on experience to truly demonstrate

your skills. Here comes building projects or hands-on practice. So building projects is the most effective

way to apply what you have learned and to demonstrate your abilities to potential employers. So here are a few

beginner friendly projects to consider. Number one is setting up virtual machines. So start by launching an EC2

instance on AWS. Learn about the different instance types, configurations and the basics of server management.

Then comes the next project that is cloud storage systems. So experiment with services like S3 for object storage

and RDS for relational databases. Document the use cases and differences between these services. Then deploy a

web application. Host a static website using S3 and CloudFront which will teach you about web hosting, content delivery

and the basics of DNS management with route 53. Initially you can use the AWS console for these task but as you

progress try implementing these projects using infrastructure as core tools like Terapform. This approach not only

deepens your understanding but also aligns with industry best practices. In addition to practical projects, having

some coding knowledge can greatly enhance your capabilities as a cloud engineer. So now we'll see how you can

learn to code. While not always mandatory, coding skills can significantly enhance your effectiveness

as a cloud engineer. Languages like Python and Bash are particularly useful for scripting and automation. Even a

basic understanding can help with tasks such as writing scripts or server automation, managing cloud services or

resources programmatically, then implementing infrastructure as code. For those new to coding, check out simply

learn videos on YouTube, which offers excellent starting points. Coding skills not only make you more versatile, but

also open up opportunities to specialize in areas like DevOps or cloudnative development. And once you have built

your skills and some projects, it's time to start with the job hunting process. That is building your profile. Creating

a strong online presence is crucial when job hunting. Your LinkedIn profile should clearly reflect your new skills,

certifications, and projects. So here are some tips. Number one is optimize your LinkedIn profile. That is include a

professional photo and engaging summary and detailed description of your projects. Then comes network actively.

Connect with professionals in the field. Join cloud computing groups and participate in discussions. And then

comes apply strategically. Tailor your resume for each job application, highlighting the skills and projects

that align with the job description. Applying for jobs can be a number game. So be persistent. It's also helpful to

reach out to recruiters or hiring managers directly to express your interest in the role. As you start to

gain experience in your first cloud role, consider specializing in a niche area to advance your career. And then

comes specializing and continuous learning. So specializing in a particular area of cloud computing can

make you more valuable and increase your earning potential. Possible specializations include DevOps that is

it focus on automation, continuous integration and continuous deployment practices. Then comes serverless

computing work with functions as a service that is FAS and other serverless architectures. And then comes security.

specialize in cloud security to protect data and infrastructure. The cloud industry is dynamic with new tools and

technologies emerging regularly. So continuous learning is key. So stay updated through online courses, webinars

and industry news. Finally, remember that the journey into cloud engineering is continuous and ever evolving. So we

talk about resources. So embarking on a career in cloud engineering is challenging but highly rewarding.

Utilize free resources like YouTube tutorials, community forums and documentation to guide your learning.

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 and

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 I 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-doll 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 NASA. 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 hardwares 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. There 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 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 u 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 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, they 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 you use

that service. It 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. If it's a short program, we'll be paying in 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 a 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 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-terabte 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 antiirus

and anti- spyware 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 Redshift

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 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 to 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 computer 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 retrive 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. 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 a 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 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, right? 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 DynamoB is the service that this application uses to

store data. There's my Dynamo DB. And if I go to tables, all 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 beanto 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 nojs 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, a 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 message queuing for an extremely large workload. And the most important part is that this

can be accessed from anywhere in the world. Now let's talk about how Azour can be used. Firstly for application

development. It could be any application mostly web applications. Then you can test the application see how well it

works. You can host the application on the internet. You can create virtual machines. Like I mentioned before with

the service you can create these virtual machines of any size or RAM that you want. You can integrate and sync

features. You can collect and store metrices. For example, how the data works, how the current data is, how you

can improve upon it. All of that is possible with these services and you have virtual hard drives which is an

extension of the virtual machines where these services are able to provide you a large amount of storage where data can

be stored. Talk about Azure in great length and breadth and if you're looking for a video that talks and walks you

through all the services in Azure then this could be one of the best video you could find in the internet. And without

any further delay let's get started. Everybody likes stories it. So let's get started with a story. In a city not so

far away, a CEO had plans to expand his company globally and called one of his IT personnel for an IT opinion. And this

guy has been in the company for a long time and is very seasoned with the company's infra and he nicely answered

the questions with what he foresaw and he said I have a good news and a bad news for us to go global. And he starts

with the good news. He said, "Sir, we're well on our way to become one of the world's largest shipping company." And

the bad news is, however, our data centers have almost run out of space and setting up new ones around the world

would be too expensive and very timeconuming. Now, the IT personnel, let's call him Mike. Now, he explains

the situation from how he saw it. But the CEO had done some homework about how he was going to do it and he answered

Mike saying, "Don't worry about that, Mike. I've come up with a solution for a problem and it's called Microsoft

Azure." Well, Mike is an hardworking and honest IT professional working for that company, but he did not spend time on

learning the latest technologies and he asked this question very honestly. Oh, how does it solve a problem? And the CEO

begins to explain Azure to Mike and he starts with what is cloud computing and then he goes on and talks about Azure

and the services offered by Azure and why Azure is better than the other cloud providers and what are the great

companies that uses Azure and how they got benefited out of it and then he winds it all up with the use cases of

Azure. So he begins his explanation saying Microsoft Azure is known as the cloud service provider and it works on

the basis of cloud computing. Now Microsoft Azure is formerly known as Windows Azure and it's uh Microsoft's

public cloud computing platform. It also provides a range of cloud services including some of them are compute

analytics storage and networking. We can always pick and choose from these services to develop and scale our

applications or even plan on running existing applications in the public cloud. Microsoft Azure is both a

platform as a service and infrastructure as a service. Let's now fit their conversation out and let's talk about

what is cloud computing Azure services offered by Azure. How is Azure leading when compared to other cloud service

providers and what are the companies that are using Azure? Let's talk about that. In simple terms, cloud computing

is being able to access compute services like servers, storage, database, networking, software analytics,

intelligence and lot more over the internet which is the cloud. with the uh flexibility of the resources that we use

like anytime I want a resource I can use one and it becomes available immediately and anytime if I want to retire an

resource I can simply retire a resource and not pay for it and we also typically pay only for the services that we use

and this helps greatly with our operating cost to run our infrastructure more efficiently and scale our

environment up or down depending on the business needs and changes. And all the servers and stoages and databases and

networking all that are accessed through the network of remote systems or remote computers hosted in the internet

typically in the provider's data center which is Azure in this case. Now we don't use any physical server or an

onremises server here. Well, we still use physical servers and VMs, you know, hosted on a hardware or a physical

server, but they're all in the provider environment and none of them sit on premises or in our data center. We only

access them remotely. It looks and feels the same except for the fact that they are in a remote location. We access them

remotely, do all the work remotely, and when we're done, we can shut it down and not pay for them. So some of the use

cases some of the use cases of cloud computing are creating applications and services. The other use cases are

storing or using cloud for storage alone. If there is one thing that ever grows in an organization is the storage.

Every new day there is a new storage requirement and it's very dynamic. It's very hard to predict. And if we go out

and buy a big storage capacity up front until we use the storage capacity fully, the empty stoages, you know, we're

wasting money on them. So instead, I can go for a storage which scales dynamically that's in the cloud. Put

storage or put data in the cloud and pay only for what you're storing. And for the next month, if you have deleted or

flushed out some files or data, pay less for it. So it's a very dynamic storage in the cloud and a lot of companies are

getting benefited from storing data in the cloud because of its u dynamic in nature and the cost that comes along

with it the cheap cost that comes along with it and also they give a lot of the providers like Azure they give uh data

replication for free they promise an SLA along with the data we store in the cloud so there's an SLA attached to it

and they also also provide data recoveries as well. If in case something goes wrong with the physical disk where

our data is stored, Azure automatically makes our data available from the redundant or other places where it had

stored our data because of the SLA they wanted to keep. The other use case for Azure is hosting websites and running

blogs using the compute service. Be it storing music and letting your users stream the music, Azure is a good place

to store music and stream the music with the benefit of CDN content delivery network which allows us to stream video

or audio files with great speed. You know with that with Azure our audio or video application works seamlessly

because they are provided to the client with very low latency and that improves the customer experience for our

application. Azure comput service is a good place for delivering software on demand. There are a lot of softwares

embedded softwares that we can buy using Azure and everything on a pay as you go service model. So anytime we need a

software, we can go out and immediately buy the software for the next 1 hour or 2 hour let's say and use them and then

return it back. We're not bound to any yearly licensing cost by that. Azure computing services has analytic

available for us with which we can analyze get a good visualization of what's going on in a network be logs be

the performance be the metrics you know instead of looking at logs and searching logs and trying to do manual things over

the heaps and heaps of logs that we have saved Azure Analytics Services helps us to get a good visual of What's going on

in the network? Where have we dropped? Where have we increased or what's causing what's the major driver? What is

the top 10 errors that we get in the server in the application? Stuff like that. Those can be easily gathered from

the Azure analytic services. Now cloud is really a very cool term for the internet. A good uh analogy would be

looking back. Anytime we look at a diagram when we do not know how things are transferred, we simply draw a cloud.

Right? For example, a mail gets sent from a person in one country to a person in the other country. A lot of things

happening in between from the time you hit the send button and the time the other person hits the read button.

Right? And we the simple and the easiest way of putting it in a picture is simply draw a cloud and on the one end one

person will be sending the email and on the other end the other person will be reading the email. So a cloud is a

really cool term for the internet. Now that's some basics about cloud computing. Now that we've understood

about cloud computing in general, let's talk about Microsoft Azure as a cloud service. Now, Microsoft Azure is a set

of cloud services to build, manage, and deploy applications on a network with the help of Microsoft Azure's

frameworks. Now, Microsoft Azure is a computing service created by Microsoft basically for building, testing,

deploying, and managing applications and services through a global network of Microsoft managed data centers. Now,

Microsoft Azure provides SAS which is software as a service and PAS which is platform as a service and IAS

infrastructure as a service and they support many different programming languages tools and framework and those

tools and framework include both Microsoft specific and third party software. Now let me pick and talk about

a specific service for example management. Azure automation provides a way for us to automate the manual long

running and frequently repeated task that are commonly performed task both in cloud and enterprise environment. It

saves us a lot of time and increases the reliability and it kind of gives a good administrative control and even

schedules the task automatically to be performed on a regular basis. To give you a quick history of Microsoft Azure,

it was launched on 1st February 2010 and it was awarded or it was called an industry leader for infrastructure and

platform as a service by Gartner. Now Gartner is the world's leading research and advisory company. This Microsoft

Azure supports a number of programming languages like C, Java and Python. All these cool services we get to use and

pay only for how much we use. For example, if we use for an hour, we only get to pay for an hour. Even the

costliest system available. And if we use them for an hour, we only pay for that particular hour. And then we're

done. No more billing on the resource that we have used. Microsoft Azure has spread itself more than 50 regions

around the world. So it's quite easy for us to pick a region and you know start provisioning and running our

applications probably from day one because the infrastructure and the tools and technologies needed to run our

application are already available. All that we have to do is commit the code in that particular region or build an

application and launch it in that particular region and they become live starting day one. Now because we have 50

regions around the world, we can very carefully design our environment to provide low latency services to our

customers. All right? Instead of in traditional data center let's say you know customers will have to or their

request will have to travel all the way around the globe to reach a data center which lives in the other side of the

planet and this adds more latency to it and it is really not feasible to build a data center uh near each customer

location because of the cost involved but with Azure it's possible. Azure already has data centers around the

world and all that we have to do is just pick a data center, build an environment there. They're available starting day

one. Number one, and also the cost is considerably saved because we are using a public cloud instead of an physical

infrastructure to serve those customers from a very local location. And the services that Azure is offering is ever

increasing. As of now, as we speak, we have like 200 plus services offered and uh they span through different domain or

different platform or different technologies available within the Azure console portal. Now, we're going to talk

about that later in this section. So, hold your breath till we talk about it. But for now, just know that we have like

200 plus services offered by Azure. Let's now talk about different services in Azure. Starting with artificial

intelligence plus machine learning where we have a lot of tools and technologies. So the wide variety of

services available in Azure includes artificial intelligence plus machine learning plus analytic services to get

an or to give us a good visual of how the data or how the application is performing or the type of the category

of data stored and to read from the logs. and variety of compute services, different VMs with different size and

different operating systems, different containers available, different type of databases available, a lot of developer

tools that are available for us and identity service to manage our users in the Azure cloud and those users can be

integrated or federated with let's say Google, Facebook, you know, LinkedIn. So there are some external federation

services they can be used to integrate with our identity system IoT's IoT services IoT tools and technologies

available and management tools to manage the users you know creating identity is one and then managing them on top of it

is a totally different thing and we have tools technologies to manage the uh users cool services for data migration

data migration is now made simple tools and technologies available for mobile application uh development and I can

plan my own network in the cloud with the networking services I can implement my own security both Azure provided and

third party security services on Azure cloud that's now possible and lot of storage options available in the cloud

so these are just a glimpse of the big list of services available in Azure cloud

So that was a glimpse of what's available in the cloud. Let's talk about the services in a specific. Let's take

compute for example. You know whenever we're building a new application or deploying existing ones. The Azure

compute service provides the infrastructure we need to run and maintain our application. We can easily

tap in the capacity that Azure cloud service has and we can scale our compute requirement on demand. We can also

containerize our application. We have the option of choosing Windows or Linux v machine and take the advantage of the

flexible options Azure provides for us to migrate our VMs to Azure and lot more. And these compute services also

include a full-fledged identity solution meaning integration with active directory in the cloud or in on premises

and lot more. Let's look at some of the services that this compute domain provides. Some of the services the

compute domain provides are virtual machines. And this Azure virtual machines gives us the ability to develop

and manage a virtual computer environment or a virtualized environment inside Azure's cloud environment that in

a virtual private network. Now we will talk about virtual private network at a later point but as of now just uh know

that there are a lot of services available in Azure compute service that we can get benefited from. We can always

choose from a very wide range of uh compute options. For example, you know we have an option to choose the

operating system. We have the option to choose whether the system should be in on premises or in the cloud or do we

want to maintain the environment both in on premises and in the cloud. we have the option of choosing the operating

system whether we want to use our own operating system with some software attached uh to it or do we want to go

and buy the operating system from the cloud from Azure marketplace and these are just a few of the options available

for us when we want to buy the compute environment and these compute environments are easily scalable meaning

we can easily scale our VM instances from one instance to thousands thousands of virtual machines in a matter of

minutes or simply put in a couple of button clicks and all these services are available on a pay for what we use

model. Meaning there is no upfront cost. We use the service and then pay for the services that we have used. There's no

literal long-term commitment when it comes to using virtual machines in the cloud. And these most of the services

are built on a pay-per-minut billing basis. All right. And at no point because of the pay-per-

minute billing model, at no point we will be overpaying for any of the services. That's that's attractive,

isn't it? Now, let's talk about batch service. Now, batch service is always uh independent. Regardless of whether you

choose Windows or Linux, it's going to run fairly well. And with batch service we can take advantage of the uh

environment's unique features and not only that in short the batch service helps us to manage the whole batch

environment and also it helps to schedule the jobs. Now this Azure batch service is actually runs on a large

scale parallel and high performance computing. Because of that batch jobs are highly efficient in Azure. And when

we run batch services, this Azure batch creates a pool of computer nodes and uh installs the needed applications that we

want to run and then it schedules jobs to those individual nodes in those pools. As a customer, there is no need

for us to install a cluster or there is no need for us to install a software that actually schedules the jobs or even

to manage or even to scale those infrastructure or the uh software because everything is managed by Azure.

And this batch service is a platform as a service. There is no additional charge for using this batch service except for

I mean the only charges that we'll be paying is for the virtual machines that this service uses and uh the storage

that we will be using of course and uh the networking services that we will be using for this batch service. Let's

summarize this batch service. We have a choice of operating system that we can pick and use and it scales by itself.

Now the alternative for the batch would be cues but in cues we'll have to pre-provision and pay for the

infrastructure even if we're not using it but with a batch we only pay for what we use and this batch service helps us

to manage uh the application manage the scheduleuling as a whole as if they are just one thing as next thing in compute

domain let's talk about this fabric service now this fabric service is actually a distributed system platform

that helps us to package, deploy and manage a scalable and a very reliable micros service and containers. And what

does it help? This Azure fabric service helps us or it helps the developers and administrators so they can avoid the

complex infrastructure problems and they can focus only on implementing workloads or taking care of their development

taking care of their application instead of spending time on infrastructure. So what's service fabric? service fabric.

It provides runtime capabilities and uh life cycle management to applications that are composed of microservices. No

infrastructure management at all. And with service fabric, we can easily scale the application to tens or hundreds or

even to thousands of machines. Here machines represent containers. As next thing in compute domain, let's talk

about virtual machine scale set. Now this virtual machine scale set it lets us to create a group of identical load

balanced VMs. I just want to mention it again. It helps us to manage a group identical and load balanced VMs. The

number of instances or the number of VM instances in an in a scale set can increase or decrease in response to uh

the demand or in response to a schedule that we define. you know the resources needed on a Monday morning is not the

same as that would be required on a Saturday or a Sunday morning. All right. And even within the day the resources

that would be needed in the beginning of the business hour is not the resources that would be needed at noon or you know

after 8 or 9 in the evening. So the demands could actually vary in the environment and the skill set helps us

to take care of the varying demand or take care of the uh different infrastructure requirement at a

different schedule throughout the day throughout the week throughout the month or could be throughout the year as well.

The scale set also allows us to provide high availability to our applications and it helps us to uh centrally manage

configure and update a large number of VMs as if they they are just one thing. Now you might ask well virtual machines

are enough. Why would we need a virtual machine scale set? Just like I said this virtual machine skill set helps us uh

with uh a greater redundancy and improved performance for our applications and those applications can

be accessed through a load balancer that actually distributes uh the requests to the application instances. So in a

nutshell this virtual machine scale set it helps us to create a large number of identical virtual machines. number one.