Борис Джонсон критикует действия Терезы Мэй
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Борис Джонсон призвал премьер-министра «изменить ход переговоров» на Брексите. Это попытка положить конец критике поклонников Брексита, таких как Джонсон, которые выступают против планов Терезы Мэй о распространенном своде правил ЕС по ЕС, не имея альтернативного плана действий. Бывший министр иностранных дел, признал, что его альтернативный подход может потребовать продления переходного периода до 2020 года.
«Произошел коллективный провал правительства и крах воли со стороны британского истеблишмента, который должен выполнить мандат народа», - писал он в статье для «Телеграфа».
Джонсон сказал, что «широко признано, что Великобритания сейчас находится в слабой позиции на переговорах в Брексите», молчаливая критика переговорного подхода премьер-министра, который, по его словам, определяется «нервозностью» и «отсутствием убежденности». Он сказал, что премьер-министр «находится в тисках фатальной неуверенности относительного того, стоит ли покидать таможенный союз».
Якоб Рис-Могг повторил критику Джонсона, сравнив план Мэй с Графом Дракулой в том, что он «для того места жизни на солнце». Статья Джонсона не оспаривала руководство майя напрямую, но, скорее всего, подогревала спекуляции о том, что Джонсон может пойти против премьер-министра до того, как переговоры будут завершены.
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So it's no secret that cloud computing adoption is on Rice as you guys might have known Microsoft
Azure is one of the best and leading cloud service providers and
it certainly makes it to the list of top cloud computing skills.
That one must have if you want to make a career in this
domain then you have landed at right. Place hi, I welcome you all to this
full course on Microsoft Azure, which not only talks about is your fundamentals, but will also take you deep
at conceptual levels before we get into details.
Let's look at our agenda for today for better understanding and ease of learning
entire course is divided into multiple modules.
First module introduction to cloud is about what exactly cloud computing is different kind of
deployment and service models in cloud computing second model
is about as your fundamentals. Well in this module we will learn how to create a
short Street our account and we'll also discuss one of the code Computing service,
which is Usher virtual machine next up in the third module will discuss as your storage
services and database features in detail. Fourth module is
about different network services offered by assured in here will
discuss as your virtual Network and related Concepts like subnets security groups and many more
in fifth module. We will learn how to secure your Access to your resources using identity and access
Management Services like Azure active directory six module
is all about is your develops in this module. We'll learn how to simplify and accelerate entire divorce process using Azure develop services,
like a sewer pipeline as your boards Etc in seventh module will
talk about different services offered by Usher when you
are dealing with current training Technologies, like machine learning a iot and Manny, Moe also will be comparing after sure with other leading service providers like AWS and gcp final module is mostly korea-related in this module.
We'll discuss most frequently Asked interview questions in Azure
interviews will also discuss roles and responsibilities job Trends and skills that you should have to ease your interview.
Thank you everyone while you are at it. Please do not forget to subscribe at Eureka YouTube channel and hit the Bell icon to stay
updated with current trending Technologies. So let us move further and quickly
take a look at today's agenda first firstly, I would be discussing the basics of cloud as
in why it is needed and what it is exactly. I would also discuss the different models that cloud has to
offer to you like it's service models and also its deployment
models and also discuss the different Cloud providers that are there in the market and finally I would
finish things off with the demo part. I hope this agenda
is clear to all of you firstly let's understand why Cloud to understand this So we need to understand
the situation that existed before Cloud came
into existence. So what happened back then and firstly in order
to host a website, you have to buy a stack of servers and we all know that servers are very costly.
So that meant we ended up paying a lot of money next was the
issue of traffic. Now as we all know if you are hosting a website we are dealing with traffic that is not constant throughout the day and that meant more pain we would understand that as we move further and the other thing was monitoring and maintaining your servers.
Yes, this is a very big problem now all these issues. They led
to certain disadvantages. What are those as I mentioned servers
are very costly. Yes. The setup was again costly and thus you ended up paying a lot of money and there were other factors contributing to
this point. Let's discuss those as well. One troubleshooting was a big
issue since you're dealing with a business. Your Prime Focus
is on taking good decisions so that your business does well, but
if you end up troubleshooting problems, Soare you focus more on infrastructure related issues.
Then you cannot focus more on your business.
And that was a problem. So either you had to do multitasking or you have to hire
more people to focus on those issues thus again you ended up being more money as I've discussed the
traffic on a website is never constant.
And since it varies you are not certain about its patterns.
Say, for example, I need to host a website
and for that what I decided I am reserving to petabytes of total memory for my usage
based. On the traffic but as the traffic, where is there would be
times when the traffic is high and my whole to petabytes of data is
consumed or space is consumed Roger. But what if the traffic is very low for certain hours of the day.
I'm actually not utilizing these servers. So I end up paying more money for the servers than I should be.
So yes upscaling was an issue. So all these things were an issue because we were paying more money.
We do not have sufficient time to take our decisions properly.
There was ambiguity. There was more trouble. All monitoring and maintaining all these
resources and apart from that one important point which we need
to consider is the amount of data that is being generated now and that was being generated then then it was okay,
but nowadays if you take a look at it the amount of data that is generated is
huge and this is another reason why Cloud became so important.
Yeah, as of mentioned the data now, we all know that everything is going online these days
and what that means is we shop online we buy food online.
We do almost everything. What is required
as an whatever information we need we get everything online your bookings
and reservations. Everything can be taken care of that means we have a
lot of data that is being generated these days
and this is Digital Data back in those times. We were communicating through verbal discussions
and all those things so through paperwork and that was a different
data to maintain since everything is moving on cloud or moving online.
The amount of data that we have is used these days and then when you have
this huge amount of data Are you need a space where you can actually go ahead
and maintain this data? So yes again, there was a nude of this
piece and all these issues that is your cost. You're monitoring your maintenance providing sufficient space.
Everything was taken care by Cloud. So let us
try to understand what this cloud is exactly. Well think of it as a
huge space that is available online for your usage.
This is a very generic definition to give you to be more specific.
I would be seeing that think of it as a collection of data
centers now. Yes, it does again at a place where you store your
data or you host applications basically, so when you talk about these data centers,
they were already existing. So what did Cloud
do differently? Well, what cloud did was it
made sure that you are able to orchestrate your various functionings applications managing your
resources properly by combining all these data centers together through a network and then providing you the
control to use this resources and to manage them properly to make it even more
simpler. I would say there was a group of people or organizations.
Basically that went ahead and bought these servers these compute capacities storage places compute services and all those things and they have their own channel or
Network. All you have to do was go ahead and rent those resources only to the amount you need it and also for the time that you needed.
So yes, this is what cloud did it let you rent the services that you need and you Only those services that you need
so you ended up paying for the services that you rented and you
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They take care of all the issues like your security your underlying infrastructures and all those things.
So you can freely focus on your business and stop worrying about all these issues.
So this is what cloud is in simple words. It's a huge space which has all these services
available and you can just go ahead and pick and render services that you want to use.
So what is cloud computing? Well, I've already discussed
that just to summarize it I would say it is nothing but an ability or it is a place
where you can actually store your data. You can process it and you
can access it from anywhere in the world.
Now. This is an important Point say for example,
you decide to choose a reason for infrastructure somewhere in u.s.
You can certain maybe China or maybe in India and you can still have access to all your resources that is there in u.s.
All you need is a good internet connection. So that is what cloud
does. Makes the world accessible it lets you have your applications wherever you want to and manage
them the way you want to so this was about cloud computing
guys. Next we would be discussing different service models.
Now you need to understand one thing you are being offered cloud
services the platform to use your services or your applications basically, but then different people have different requirements.
There are certain people who just want to consume a particular resource or there's certain people who actually want to go ahead and create The View.
Own applications great the own infrastructure and all those things.
So based on these needs we have particular service models that is your Cloud providers provide you with
a particular model which suits your needs. So let
us try to understand these models one by one we have these three models that
is your iaas your paas and your saas. I would be discussing them in the reverse order.
That is I would be talking about saas first and then I would
go upwards so let us start with saas or sad. SAS
is nothing but a software-as-a-service. Now what happens here
is basically you are just consuming a service which
is already being maintained and handled by someone else to give you
a valid example. We have a Gmail. All you do is
you send mail to people and you receive mails and whatever functionality you
do is you just use the service that is there. You do not have to maintain it.
You do not have to worry about up scaling down scalings
security issues and all those things. Everything is taken care by Google say for example But yard email is what I'm talking about Google manages everything
here. So all you have to worry about is consuming that service now this model is known as software as a service that is saas.
Next we have passed that is platform as a service now here you are provided with a platform where you can actually go
ahead and build your own applications to give you an example.
We have our Google app engine. Now when you talk about Google app engine, what you can do is you can go ahead and you can create your own applications and you
can put Put it on Google app engine so that others can use it as well.
So in short you are using the platform to create your own applications, and lastly
we have iaas that is infrastructure as a service. Now.
What do I mean by this? Well, the whole infrastructure is provided to you so that
you can go ahead and create your own applications. That is an underlying structure is
given to you based on that. You can go ahead and choose your operating systems the
kind of Technology you want to use on that platform
the applications you want to build an old those things.
So that is what an IAB S is infrastructure-as-a-service basically,
so these were the different models that I wanted
to talk about. So let us move further and discuss the next topic.
That is the different deployment models that are there.
Now when you talk about deployment models, you can also call them as different types of
clouds that are there in the market we have these three types.
That is your public Cloud your private cloud and your hybrid Cloud.
Let us try to understand these one by one now as
the name suggests the public Cloud it's available to
everyone you have a A service provider who makes these services or these resources available
to people worldwide through the internet. It is an easy and very inexpensive way of dealing with the situation because all you have to do
is you have to go ahead and rent this cloud and you're good to use and
it is available publicly. Next. We have the private Cloud now.
This is a little different here. You are provided with this service and you can actually go ahead and
create your own applications. And since it's a private Cloud
you're protected by a firewall. Add wall and you do not have to worry about various other
issues that are there at hand and next. We have our hybrid Cloud now.
It is a combination of your private cloud and your public
Cloud say, for example, you can go ahead and build
your applications privately you can use them. You can consume them you can use them efficiently.
When you sense that peak in your traffic. You can actually move it to public that is you can move it to the public cloud and even others can have access to it and they can use
it. So these are the three basic deployment models that are there
for you. Exposure or your usage rather and you can go ahead and use those as well.
I hope this was clear to all of you. So let us move further and try to understand the next topic that
has different Cloud providers that are there in the market.
Now as I've mentioned what happened was since Cloud came
into existence quite a few people went ahead and they bought
their own infrastructure and now they rent the
services to other people and when you talk about this infrastructure, they're
quite a few people out there who are actually providing these cloud services to different people
across the globe now when you talk about These
Cloud providers. The first thing that should come to your mind
is Amazon web services because it is highly popular and
it leaves other Cloud providers way behind. The reason I'm saying
this is the numbers that talk about Amazon web services to give you an example.
If you talk about its compute capacity. It is six times larger than all
the other service providers that are there in the market say for example, if you talk about the
other service providers in the market if the compute capacity combined was ex-army Has on web services
alone gives you a capacity of 6 x which is huge apart from
that. It's flexible pricing and various other reasons. That is the services it provides
and all those things. It is rightly a global leader and the fact
that it had a head start that is it started
way before many other services that are there
in the market. It actually gained popularity. And now we see quite a few organizations going ahead and using Amazon web services apart from that.
We have Microsoft Azure, which is a Microsoft product and we all All that when Microsoft decides to do something they
expect that they kill all the competition that is there in the market.
It is still not in terms with Amazon web services or few other service providers that are than the market but not
very neck to neck but it is probably the second best when you talk about
Amazon web services or the cloud service providers in the market.
So, yep, it has a lot of catching up to do when you compare it with Amazon web services, but it
is still a very good cloud service provider that is there in the market.
Then we have something called as Google Cloud platform again a very Very good cloud provider in the market.
Now. Why am I saying this? We all know the infrastructure that
Google has to offer to you. It has one of the best search engine that is then the
market and the amount of data they deal with every day
is huge. So they are the Pioneers when you talk about big
data and all those things and they know how to actually handle this amount of data and how to have an infrastructure that is very good.
That is why they have a very good facility and that leads to it being one
of the cheapest service providers in the market.
Yes, there are Features that DCP offers which are better, even than Amazon web services when you talk about its pricing and the reason for it is it has various other
services that are there water does is it helps you optimize various
costs how it uses analytics and various other ways by which it can optimize the amount of
power you use and that leads to less usage of power.
And since you are paying less for power that is provided as a paying less for power
you end up paying less for your services as well. So that is why It is so cost efficient.
Then the other service providers that is we
have digital ocean. We have to remark we have IBM which is again very popular.
But that is a discussion for some other time. As far as the service providers go.
These are the major ones that as we have Amazon web services.
We have Microsoft Azure, we have DCP which are talked about a
lot. This was about the basic Cloud providers and the basic intro which I wanted you all to have.
I hope you all are clear with whatever Concepts we've discussed in time.
So let us move further and switch into the demo. Let us try to explore a few of these services or
Cloud providers as in at least the introductory part.
Okay. So what I'm going to do is I'm going to switch into the console basically where we can take a look
at these Services one by one. So yes guys, what I've done is
I've cornered and have logged into my AWS account now AWS provides you
with a free tier and then they have the paid Services as well.
Let's discuss these one by one first. I would
talk about AWS then I will talk about gcp and to some extent I would also discuss a
juror as well, but But let's focus on AWS for first
one point, which I did not mention while going through the concepts was
AWS provides you with a free tier. Now when I see a free tier, this is where you do
not have to pay any upfront money. You can actually go ahead and have access to AWS services
and see how they work and once you are confident and comfortable with
them, you can actually go ahead and decide whether you want to
buy those services or not. So yes, these services are made available to you for free for one complete Year.
Yes. There are certain restrictions on it. But as long as you stay in those restrictions, you won't be Panting if you cross those restrictions.
Yes in abuse will charge you now. How does AWS do that?
Well, when you create an account, you have to
give in your credit card details or debit card details, when you do that database will cut a lump sum amount from your
account verify account and reinstate that amount back into your account so
that none of your money is used but just a verification is done that
this is your valid credit card or your debit card and once your 12 month free trial expires, then they would notify you that your free trial is over.
Would you want to go ahead and continue using our services if you say yes, then they would charge meanwhile, they won't charge you so
you can stay relaxed and you can actually go ahead and give you a credit
card or debit card details, but just make sure that you set an alarm and once your free trial gets over you
kind of either revoke your exes or go ahead and continue with the paid services that it abuse has
to offer to you. So what does this re-tear has to offer to you?
Basically, let's take a look at those. Well firstly we have compute Services when you talk about AWS and Name a few we have ec2.
We have Lambda which are popular Services now easy to is something like a raw server where
you can actually go ahead and post our websites and applications.
It is very popular. And if you want to use it, it obvious gives you 750 hours per month for
free. Then you have some service called as Amazon quick set which is basically an analytic service and I
won't get into the details of what it does basically, but
you have a space of 1 GB available to you that is nothing but spice capacity basically again, I won't get
into the details because I want to Stick to the surface as far as the session goes, then you have other
services like your database service, which is an RDS.
You have your storage service, which is S3 Amazon Lambda. Now Lambda is another compute service which is
similar to your ec2. But ec2 is more of a place
where you can host a websites. Where as Lambda does not let you host a website.
But yes, you can definitely go ahead and do a lot of background application work.
When you talk about AWS Lambda apart from that database also
provides with various videos that talk about how do you want to go ahead
and get started with using this? Sosa's how to create
an account how to create instances and all those things.
So this was about the free tier let us kinda move further and see how the console looks like.
You can actually go ahead and create your own instances. You can do a
lot of things. So this is what the different services that a device has
to offer to you. You have your compute Services developer tools machine learning and I'll takes storage database Services.
You can actually go ahead and use these on your own you can go ahead and create certain instances here now once
you click here oniy Easy to you get to see the number of instances that are active the security groups
that are there the keep is that you have let us see or take a
look at an instance. Basically. I would tell you how to create one.
I won't create one myself because I have certain ones running already.
I would just walk you through how the process works.
When you click on that launch instance. It will give you options in what kind of an instance
do you want to create so you can actually go ahead and pick the one that suits your need
based on the OS you're using and stuff like that since I'm using a Windows.
We'll be picking one for Windows and I would be using the one that is freely available to me or eligible for
my free tier. So when I say select I see that a free
tier eligible T2 micro instance is available to me.
I can either click on this and directly go to the final step of creation, or I can take a step
by step approach. That is if I want to modify it.
I can go ahead and given these details as in the number of instances my purchasing options Network subnet auto-assign public IP and
all those things. So let's click on next and we can also also put in these
details, but I'm going to stick to the default
decisions or the selections. You can also
go ahead and configure your security groups. I would talk about
that as well. Do not worry and finally it would say do you
want to remove and launch it? Once you click
on this you would have a new instance they would be couple of statistics and you'd have your instance available for use
to give you an example take a look at this as you can see.
I have two instances running and the security checks are
done and I can actually go ahead and do a lot of things with it.
I can actually go ahead I can connect to a server.
Again have my security group security policies. And when you have an instance,
you can do so many things for hosting a website and the other things that are there now,
I just mentioned keep are values and I mentioned security groups.
Now when you talk about the key pair it is
nothing but an authentication process that lets you use your instance.
It is a verification process. Basically it varies when you talk about using it on your
Linux and using it on your Windows Windows, you would need it for an external login as
far as when you talk about Linux you'll have To
go ahead into your terminal and generate those SSH or your secure server Keys basically or secret selkies rather and then log into
your website and then go ahead and use it on your server basically.
So this is what happens. So that is something that you called as a keeper value when you talk about AWS a keeper value once
created it is unanimous or it is not unanimous rather.
It is primary to a particular instance and you should not lose it because if you do that instance becomes useless for you, so You have to
make sure that once you create a key value pair
that key value pair it stays with you and when you do try to connect to a server that
keeper value or its value is available with you so that basically you can switch to your server and
connect to it. And then you have something called as your security groups as well.
Now if you come down here you can go ahead and set in your Security Group policies.
Whatever. Those are you can create a new security group and you can just
go ahead and add rules as in what kind of security policies you want.
Say, for example, you have your HTTP https now if you're using
Windows, you'll be needing our DP and those kinds of rules.
You can go ahead and select a source you want to and accordingly you can set in your security
rules. Once you create on click on create you'd be having your Security Group up and running for
you and you can like stay assured that your so-called services are more than secure
here. So yeah, this was about Amazon web services and how its
interface looks like then you have something called as your gcp now gcp to has a free.
The only difference is gcp gives you an a balanced amount as in say some amount of US Dollars and you can the services are paid services,
but you can use this balance to go ahead and use those
services. So it pans out to similar approach which aw stakes in but if you talk about their pricing, aw
charges you on hourly basis, whereas your Google Cloud platform charges you and second
basis. So it is more affordable. Say for example, you stop using a particular instance at
two minutes. You'll be charged. Only for those two minutes, but if you stop
using an instance for two minutes in AWS would be charged for a complete are so that
is the difference between the two as far as logging in is concerned again, you'll be going ahead and giving in your
credit card details here as well. The difference is here.
You have to make sure that you do not enable your billing
because once you do that, trust me, you're going to end up paying a lot of money
because I accidentally left few instances open. The last time I logged in and
I was charged Hefty live without me being noticed. When you see a button missing that enable billing make sure that
you use it carefully because you do not want to be charged
for something that you are not using. So when you talk about gcp
this is how the interface looks like. You have all the
services here as well there you had your computer services
you have you have your compute engine basically and you can to come
here and create your instances. You can click here and you can go ahead and
go through the process of creating your instances,
but I won't be creating an instance as far as you are gcp is
concerned because I've given you a reason already. I'm happy working with AWS
for now. This is your dashboard where you get in all the information as in whatever is happening as far
as your account is concerned. So this is one of the accounts managed by a person I know who works with me and the
certain projects which he has gone ahead and created. So it's the information for
those details are the details for that project basically
and then you have something called as your Microsoft Azure now, I won't log in and
get into the details. But yeah it to provides you with similar services.
So is this what about the different cloud? Riders that are then the market and I
just wanted you all to have some understanding as in how do these things work?
And what do these Services have to offer to you? I hope this is clear to all of you.
Why a Microsoft is your why are you guys so interested in Microsoft
with yard. Now one thing is that Microsoft is your is actually becoming pretty big.
I mean the cloud leader on papers. It is AWS right now, but
if you see the growth with that has been happening in the past few years Microsoft is your is actually coming out pretty big.
Right? So and that is the reason if you look at this graph, there are the job opportunities for
Azure has been on a rice and that is like this is the primary reason that you guys want to learn about Microsoft with
your because obviously you want to make a
career shift into the cloud industry, right and for that availability of jobs
should also be a factor. And if you see the graph this graph is has actually been taken from indeed.com, right and as you can see the graph
is rising. So if you see as 2014 it was around .01% in the mid in the late 2016.
It's reached around .09 it came down to a fault. But then again it is at a
right. So this is apartment that you see but if you take my advice because I have seen the
industry as far as I know these jobs. Are going to increase multiples in the
future as well. Right? It's not only restricted to is or if you talk about AWS if talk about any Cloud technology, it
has become imperative for you to learn about
Cloud because it is the thing everything in the next 10 or 15 years is going to be on the cloud right any company which is still on its own for my servers will move
to the cloud one day or another because that is inevitable that Is something that has to happen and that is the reason it
becomes very important for you guys to skill up to the cloud
level right now talking about is your like I said, so jobs are increasing every day jobs are there for you?
So what needs to be done from you guys is prepare for the
exam. That is therefore Azure give that exam get the certification get hands-on experience and get the job.
This is the course. This is the path that you should have for taking a cloud computing roll.
Right having said that so that is this is the reason why we learning
about Microsoft Azure today moving on. Let's understand what Microsoft is your is exactly so Microsoft is your
is a growing locations through Microsoft's Global Network of data centers,
right? So by using the Microsoft infrastructure, you build deploy and manage applications on the has your environment
and Like as you're like I said, it's a cloud provider.
It provides you the cloud services you're using those cloud services,
but those cloud services are actually on the Microsoft infrastructure.
And that is what you are paying them for right? So, this is what Microsoft
Azure is all about guys. Now, let's see a use case now that is My Philosophy is that rather than doing all the theory first and then going on to the Practical I would like to follow the reverse approach,
right? I would I'd like to begin from practicals because that is what your exam
will be based on your exam will be based on real-life example that you
based on real-life scenarios Lou based on what kind of Hands-
On knowledge you have in your as your domain. All
right, and that is the reason every session of ours will have a use case
through which we will try to analyze how we can implement it
in the cloud. Right? So this is your first use
case. This is kind of simple guys. So please pay
attention. So we are trying to make a website
which is something like this. Right? So what happens here is you have a set of images and these images are actually being played in the background.
And in this website, you have a functionality to upload more
files to the cloud and once you do that those files will automatically be added in the slideshow and
we'll start running. Alright, so this is our use case and we have to implement it
on the cloud. So there are two stages in the way.
We are going to take this use cage the first stages. We're going to apply pure logic, right?
We are going to understand how we can actually deploy it on any cloud service right?
Not only does your butt any Cloud platform if it is out there, how can we
implement this use case? So let's see that first and after that once you have understood that will try implementing
it in as your so first. Let's see how We will implement this in a general scenario by pure logic.
So your user base will be accessing the internet right now when your user will try
to access the website, he will enter the website name, right?
So all of that traffic will come at this point, which is called a
load balancer. Now, what is the load balancer a load balancer is basically a service which distributes your traffic
equally among the server's running at that time. So say there are like five servers running your website then and if traffic is coming on to
your servers that traffic will be distributed among those five servers by the load balancer.
So the job of the load balancer is to distribute
the traffic equally among the service, right? So
this is what the load balancer is all about. So your user base from the Internet is trying to access your website.
So the traffic comes to the load balancer and the load balancer separates or Segregated traffic into equal proportions and give it to the server's right.
So once the traffic comes onto the server's the server's process
the request and if you talk about our website, so our photos are
actually stored on a file system, right? So whatever files you are uploading or whatever files are there, which are already been uploaded there on a file system, right?
So it will access that file system for fetching those files,
but our servers they don't know. What files do we want?
Right? What is the like say, for example, I upload a file and before uploading the file.
There were three pictures running in the background.
So my server should know what are those three files that
I have excess right? There should be a list of those files that the server has to play in the background.
Now that list of files is actually stored in a database, right?
So what my service will do is it will first get that list from the database right?
And once it gets at least it will fetch that. List of files from the
file system say there are around five files in the database.
So my server will interpret the addresses of those files from the database and
then it will call the file system and get those addresses or get those files from there and Fry to show that in this slideshow in the website.
Now when we upload the file, what happens is first your
database is updated, right? So whatever file is being uploaded to your servers, that
file is Renamed according to whatever parameter
you have set because it has to be unique. Right each file has to
be identified with a unique name, right? So it renames
that file to that unique name and then store it on the database once entry has been made on the database then it gets uploaded
onto the file system. Right? So guys, this is the architecture of your application just
as the logic that will be following today. So let's try
to implement this architecture has your nose
Understood how we can actually architect this use case in a general way.
Right? Let's see how we can implement it in the has your environment.
So in the Azure environment the servers that you're trying to implement is actually provided to you by a service called the app service.
What is AB service will be discussing in the further slides.
Then let's talk about the load balancer and auto-scaling.
So the load balancer is actually implemented by
the has your load balancer and auto-scaling, right?
And having said that then we talked about the database.
So database is the mySQL database that will be using in Azure and then you have the file system which is
called blob storage in your what are these Services you might be confused.
Okay. What is your load balancer? What is the app so is what is
mySQL database? What is blob storage? Don't worry.
I will explain everything to you in the coming few slides.
So let's go ahead then. So these are the services that you'll be using in a jar.
Let's go ahead and understand these Services one by one.
So let's talk about the app service first. So the app service is
basically a part of the compute domain. All right, and in the compute domain you have
a lot of sources, but why are we using the app service?
Let's understand that. So there are basically three kinds of
services in the compute domain if you talked about in a very broad sense.
The first service is called the virtual machine. Now. What is the virtual machine a virtual
machine is just like a traditional computer. Now that you have
in your in-house data house. It is a computer that is accessible to you and you can do anything with that computer where you have all the rights to that
computer. All you have to do is basically what you will do with a virtual machine is you will say that I need this much RAM.
I need this much storage and I need this much configuration. Please give me a computer.
So as your will create that virtual machine for you, right and it will give you
the IP address and the password for that machine.
What you can do is by remote desktop connection. And you can enter
that IP address and the password and you will be able to connect to that computer.
Now, once you connect to that computer, it is your
computer annoyed you have the access to the user interface.
You can do anything on this computer. You can make it a website server.
You can make it a worker to your environment. You can use it to for
image processing right? You can do multiple things on a so
I like you I might be doing on your server as well.
Right? So this is what virtual machines is all about.
You can configure it to Become anything. Our next service is called the app servers.
So it is a basically an automated version of a virtual machine,
but with limited possibilities when I say limited
possibilities it is this service is actually very more focused.
Right so app service. Basically, it doesn't
give you the access to the user interface. All right, but that gives
you more simple interface to deal with because if you want to host a website in virtual machine you would have To configure the virtual machine you would have
to configure the firewalls. You would have to install the necessary software like say for example,
you have a PHP website, right? So you would have to install PHP software
on a virtual machine and then you would have to
copy those your website files or the files that you have
coded into a specific folder and then you would have testified the configuration for your firewall and everything.
Right? So there were a lot of things that you had to
do in your virtual machine with app service.
You don't have to do anything. Then you just have to specify what language you want.
Say, for example, I want a PHP website. So I'll select PHP.
I'll do next then last me what kind of configuration of servers I
want. I'll specify the configuration. I click next and
that is it. My website will be deployed automatically.
It will ask me to upload the files. I'll upload the
files. It will automatically send it to whatever folder it is required and this
done right? So this is the part of app service right?
It is more automated because the Pitching machine everything had to be done manually,
but with app service everything happens automatically.
I just have to upload my files, right? So this is what
app service is all about. So, like I said, so app service is basically used to deploy an application. All right,
you cannot do anything else with it. You cannot use it to process a
customized workload or something like that. You can just use it to
deploy an application and that is why it is called an app service Right Moving On Let's Talk.
Talk about functions of functions is basically a very new technology.
It's called the server less architecture it basically what it
does is you don't have to specify the configuration. You don't have to specify anything.
You just have to upload your code and it executes
it for you, but it will not deploy any application for you.
For example, you want to host a website.
It's not do that. It just does processing in the sense. It will only do
background tasks for you. For example, if you Have let me take an example which uses both these Services.
If you have say an application like Instagram, right?
So user uploads His image on your application. And then your application has to store that image now before
storing that image. Maybe you want to compress the image or you want to
apply a filter to it or whatever, right? So from your application the file is uploaded.
And now these many tasks have to be done if these tasks are actually configured in your code,
which is Actually uploading the file as well. It will actually
increase the overhead on the server which is hosting an application. But
what we can do is the way things happen today is everything is distributed.
Right? So from your application only the file will be uploaded.
Once the file is uploaded. Right? The tasks will be the tasks like renaming the file or compressing the file applying the filters.
Everything will be done using the functions.
So the function will get invoked whenever the file.
Is it uploaded using the app servers and the function will execute all the tasks that have
to be done on that particular image this reduces the overhead on the server which
is hosting your application. Right? And you have your background tasks
will be implemented by a functions and then will be
stored in the respective file system. Whatever you have
coded your function to do right? So this is basically the
difference. So recapping again virtual machine is basically a computer
you can configure it to anything you can actually
we use app servers in a virtual machine Mallory. For example,
you want to deploy an application you can use it by configuring a virtual machine, right?
You can also use it as a function your virtual machine that I mean to say as in you can configure
it to only execute background tasks. But the thing is you have to configure everything manually.
If you want an automated version you can go with app Service
app Services used to deploy an application. Right?
But if you are use case is not about deploying application you want to do some
raw? Searching you might as well hop for functions, which is a service which is not
used to deploy an application but is used to execute background tasks.
All right, so guys a doubt and whatever we have discussed like we discussed virtual machine.
We have discussed app service and we've discussed functions.
All right. Like I said, we are using the app service why because
we are deploying a website, right? So for deploying a website, I need apps
away. So it cannot be done using functions can be done were doing virtual machines as well, but it will need a lot
of manual work and our job is to make everything faster right cloud computing is
all about speeding up things. The speed of implementing is increased right so I rather use
an app service and upload my code on the Service and it will deploy the website from right it's that simple guys.
Let's move on to the next topic of today's discussion, which is the blob storage.
So the blob storage is basically the file system that you need to upload your files, right?
You definitely need a file system. There is no alternative to this.
Right. So your blob storage is the place where you will be
storing your image files, but why did we choose the blob storage by not some other service from
the storage to Maine? Let's discuss that. So in the storage domain basically, you have three kind
of services you have more services well, but
these are the three main services in the blob in the storage domain.
You have the block storage. You have the Q storage and then you have the
backup, right? So the block storage is like I said is a file system on which you can upload
any kind of file, right? And that's about it.
There is nothing more to blob storage. This is the thing next is Kyu storage Secure Storage
is basically a queuing service whenever you have to synchronize tasks.
For example process one has to be done before process
to and process to help it to be done before process 3.
So what you can do is you can bundle these tasks in a sequential Manner and you can add it to the
queue storage. Right? What the queue storage will do is it will actually hold these
tasks according to the sequence that you entered, right?
And whenever the queue storage is accessed it will give them only the first task now the second task is the third task first.
So the way It functions is like this say for example, like I said the image processing application. I want
to rename file first there won't I want to add filters and
then I want to store it on the file system.
So these three tasks I will write it down and I will add it into the queue storage now.
See these tasks will be done by my functions.
All right. So what functions will do is it will try to interact with Q storage and last for a task, right?
So Q storage will give the task to Functions in a very sequential manner
in the sense that it will first give it the task to rename the file.
So it will rename the file. Once that task is done.
It will again try to xsq storage and then cute store has been given a task
to filter the image or apply filter to the image, right then we'll apply a filter to the image will be done with that and then it will try
to again the to storage and then it will see that okay now it has to store that file in a file system which is specified the code right and it will pick that task do it.
It and be done in the first file and then it again XS Q storage in the process goes on. Right?
So basically Q storage is used to give a sequential manner to the processes that are trying to execute having said that this is a work queue storage then comes back up.
So backup is a service where in you can store your in frequently accessed data, right?
What is your in frequently accessed data could be
for example in my company. We take a record of everything
right we take our Out of every class that we do we take a record of every query that you guys
raised now save the classes that were taken say like 2 years ago, right and as obviously I cannot delete those classes because they
have to be kept for record. But what is the point of keeping them on my life hard drive because
my life hard drive is where I do. My current tasks, right? So rather than keeping it
on my life hard drive I say, okay. Let me keep it in a CD or a pen drive and keep
it somewhere where I can take it out when I actually
need them. Right? So this is the concept of taking a
backup now similarly. If you want to take a backup in as your say you have your virtual machine and
you have stored a lot of files on your virtual machine, but you think okay.
I don't need these files anymore. Or maybe I don't need you
file it as of now, I might them need them later.
So why do spend that much on the stories that
you're taking on the virtual machine right rather than storing the in frequently accessed data.
Why not put more frequently exist. So what you
can do is the in frequently accessed data that you have
in your machine on the cloud. You can actually take a backup of
that and store it in the backup service. Now, why will you store it in the back of services?
Because storage is more cheaper when you talk
about the backup servers because obviously first of all, they'll use magnetic tapes or they'll use ssds or something like that
to store your data now, why is it cheap is because obviously it has a downside
that the response time of the time to retrieve the files from a backup service is obviously more.
For example, if you are stored everything in your virtual machine,
you can like go to that particular folder access that file and that is it
right. But if you have stored in the backup service,
the retrieval actually takes time, but it is worth it because you don't use that file every
day, right? You won't be using it and also you're paying less so it doesn't pinch you that much because you're paying less and you
are not using that file very Yes, well, so why not put it
in the backup service? So this is what the backup service is all about.
Now today in our implementation. We are using the blob storage for obvious
reasons that we I want to store my image files, right? So I not store it on the back up obviously and
not show it in the queue storage As Told in the blobstore
it because that is what that service is meant to do.
Now. The next service from Azure is the MySQL service from Azure.
It is basically a MySQL implementation on the LG.
Our infrastructure was right, so you Can use any database you want another you have an SQL service, which is purely SQL.
So if you're comfortable with that, you can use it.
I am using MySQL for my use case today because that is the way I have quoted my application to be right.
So it is just personal choice. The next service that we are going to talk about is auto-scaling
and load balancing. So like I said load balancing is when you want to equally distribute your Among the number of servers that are running that time and auto-scaling is actually scaling up
the number of servers that you're using according to the traffic that is coming onto your website.
So you can actually set a metric that so many obviously when more
traffic is coming onto your website your CPU utilization will increase because you have to process more requests now.
Yeah, so your server will be processing more requests
and that is the reason your CPU usage will He's so you can actually set a metric.
Let's say my CPU usage when it increases 60 or 70% increase one more instance or
increase three or four more inches high. So it
is based on your personal use. So this is what order scaling is all about.
And obviously when you using Auto scaling, the number of servers is
changing constantly, you need a load balancer along with it, right the load balancer so that say you have six or seven servers which are running right now and
say the traffic decreases and it sees okay now the sea Utilization is going down.
So it will reduce the number of servers.
Right? So when it will reduce the number of sources do load balancers should identify.
Okay, though. They were seven servers before
now there are like three so you'll be Distributing the
traffic according to those three servers, right? So the load
balancer actually pays a very important role in the order
scaling process having said that so this is how all this killing actually works.
So say you have one server, right and the usage increases it
goes on to become two servers and then again the usage
increases it becomes 3 service right now when the users decreases these three servers can be
reduced to one server or can be reduced to so so this
is a diagram representation of what or scaling is.
We talk about load balancer. Like I said, so load balancer is
a very crucial part of Aura scaling process because load balancer is the
part which actually distributes the traffic according to the
number of servers that are running at that time. All right.
So this is how the process Smokes the traffic comes on to the load
balancer and the load balancer sees how many servers
are running and distributes traffic according
to that. All right. Okay. So we're done with the services.
These are the services that we'll be using today.
So now we will see how we can launch these services in the has ER
user environment. So guys will talk about the Apsos first.
We'll see how we can launch an app service in the as
your UI. Okay, let me show you the user interface for a year now.
So guys this is how the user interface for as your looks
like. You have all the services listed here on the
left side. Right? And this is the dashboard. This is called the dashboard whatever Services you launch.
You can pin it here for basically getting accessed quickly.
It is just like a desktop on your computer which has all the shortcuts in everything and this is
what the dashboard is actually used for. All right. Having
said that let's see how we can launch the
app. So In Azure, so first you will click on app Services as you can see from here.
You can click on app services and moving ahead. Once you have clicked on app Services.
You will reach this plate click on create app
services and then you'll click on web app and that is it.
Let me show you how you do that. So you'll click on app Services click on create app Services you
go down click on web app. And over here as you can see after this, you
will reach the screen when you will see that you have four options.
You can either code your website in.net PHP node.js or python. So if it is either of these four languages,
you don't have to do anything. You just have to upload your code in this web app that you'll be creating and
your app will be deployed automatically without installing any software
without doing any configuration Justice, right?
Okay. So once you have reached this page You will click on create.
So let's click on Create and then you will reach the screen. So now you
have to give your application some name. So let us give us this name as in Eureka - 0 1 so see that everything
is fine. So this subscription is pay-as-you-go Resource Group is something which
you can create or you can use existing. So Resource Group is something it's a
group of all the resources, right? So if you put if you are it
will be creating a storage. Count will be creating database
account. We are creating an app. So it's right. So all of this will come under one group.
It can be clubbed in one group and will be called as resource
for any changes that you want put across the group
you can do to the resource Group. All right, we'll be discussing in detail.
What a resource Group is in the further modules, but for now all you should understand is that a group of resources is called a resource book.
So if you have an application and just utilizing
say three or four resources, it's better to put those
resources. Under one group. All right. So this
is about that. Then you have the app service plan. So app service plan is something as in what kind
of computers you use and everything. So let's create a new plan for
you so that you understand it better under the pricing tier.
This is the main part that you have to select guys.
You can select the app service plan it can give it some name.
Let's give it as a service - 1. All right, and this
is my app service plan. You can select what kind of plan you need.
Let me see. Like the basic plan as of now and click on select
right and then click on OK. So this was about Apsos plan. You can click on application insights which basically gives you the monitoring tools for now.
Let's not discuss it. Let's not go into it. We'd be discussing it later.
And now let's click on create. So I am taking the PIN to dashboard which will basically create a shortcut on a dashboard to this application comes in handy.
And that's it guys. You will click on create. Alright, so now my application is being created.
Okay, so all right why my web app is deploying.
Let me go back to my slide and let's jump onto our next service which is blob storage.
So like I said blob storage just like a file system.
You need a file system to show your files, right? So
that is what the blobster is all about. Let's see how we can create a blob storage
instance in Azure. So you will reach this is the dashboard you reach the screen. You
will click on storage accounts. Once you have clicked on Story the council click on ADD.
And that is it guys. Nothing much acquired. Let's go ahead and do this I go here.
I'll click on storage accounts. I will reach
the screen and click on ADD and I will start entering the values.
So let's give it the name called Eureka - 0 1 so this is taken. Let's
give it a name as well as your I do. Write this name is available.
All right, the performance should be standard because this is a demo replication is
not required. So I'll say locally redundant Storage storage
service encryption should not require secure transfer is not required and subscription is pay-as-you-go.
Okay Resource Group. Let's select a director - 0
1 because this is the resource Group that I selected earlier, right and let's pin it to dashboard.
click on create Alright, so my web app has been deployed already and my
storage account is also being deployed. All right, so this was about
it. Let's go on. Let's see for our MySQL. So for MySQL, let's see what all we have to do.
So we will click on you. We will click on databases and then we'll click on as your database for MySQL.
All right, and that is about it. Let's go back and do that.
So we'll click on new. The search for as your database.
for MySQL All right here this so I click on this and I'll click on create.
So here it is. I have to enter the server name. Let's enter the server name as Eureka - 0 1 it is available.
It's good. The resource Group should be the same.
So let's select a riruka - 0 1 so admin login name.
Let's give it as any Rekha password. Let's give it any Rekha one,
two, three, four confirm the password and Eureka one, two, three four, and it is asking
me some special characters or let me add the special character as well.
Okay. So basically you cannot have the login name and your password.
So let me change the password to add you one two, three, four exclamation same in the confirmation. All right.
So this is available. Now the location sounds introduced
version is 5.7 pricing tier. Let me see if there is something more or less.
All right. I think this I click on OK. Bennett dashboard and
click on play. It's pretty simple guys. You would know when you will do the Hands-On on yourself.
So the pricing tier can be the minimum if you are using it for demo
or if you're creating an application, which is for global
scale application huge can choose the pricing Theory according
to that. Alright while it is deploying. Let's move ahead.
So let's come onto the auto-scaling part now. So basically we have to configure our web app to order
scale as and when required It so let's see how we can do that.
So let's understand the types of Auto scaling first.
So basically there are two types of scaling one is called horizontal scaling
and one is called vertical scaling. So horizontal scaling is when you are
increasing the number of servers that you require say, you don't have an i7 server.
For example. All right. Now the usage goes up so you take to i7 servers and if it again goes up you take 3i7 SOS, right.
So this is what horizontal scaling is all about right?
Let's come onto vertical scaling now. So vertical scaling is when you are increasing the capacity or the configuration of
your system say you were using an I3 system before right the traffic increases.
So now you're using an I-5 system the traffic increasing now you're using the i7 system.
So you are having only one machine but you're increasing the
configuration of your system, right? So these are the two Types of scaling which exists in auto-scaling also the other way is manual scaling so you can also
manually scale up your in the number of instances or the configuration of your system.
Right? So the way to do that is to manually go into the service
change the pricing tier and you are said this is how you manually scale auto-scaling.
I'm going to tell you in a couple of you slides. Also guys when you are
auto-scaling like I said load balancing is Quickly attached
to it. Alright, so when you would be orders killing in a web
app, you don't have to configure the load balancer. The load balancer is configured automatically
and said automatically for you to be used right because it doesn't make sense to use or scaling and not use load
balancer. And that is the reason as your has automated the process of attaching a load balancer when you
using orders Right Moving ahead guys. Let's see how we can launch this instance.
So guys first you will click on app Services. You will go to your particular.
Instance that ER have launched you will go to scale out and you will click
on enable auto scale. All right. So let's do that.
We will go to app Services which is here. So this is
my instance. I have launched I click on idea raiga
- 0 1 I'll go down. And as you can see I have two options.
I have scale up and I have scale out when I click on scale up.
You see the pricing tier so I can increase the configuration of my system right?
But this is not about what I want. I want to scale out which is I want to increase
the number of instances running right now, right? So so it says Auto scale is not supported
for basic chair of web apps. Okay, so let me change my configuration. Alright, so
if I go to scale out now, you can see that I have the option to enable auto scale.
So I will click on enable auto scale and then let's give it a
name. Let's give it a name as any Rekha Auto.
Alright, so my auto scaling property name is Erica Otto.
The resource Group is a Eureka - 0 1 right.
So now you have an option to Scale based on a metric which is based on some statistics.
Like the CPUs is or the memory usage or anything.
Right? And the other one is scaled to a specific instance count.
So for example, whenever the traffic increases say you were one instance now like increased five instances.
All right. So these are the two options will go with Scale based
on a metric and scale out in scale in your instances based on Metric.
All right. So let's add a rule. Let's add the rule as
in what we want. What kind of metric do we want to? Monitor and
scale according to right? So as you can see the time aggregation is not something we
should be worried about. Okay guys, so these are all the metrics that you can actually monitor and
scale according to you can scale according to the memory percentage.
You can scale according to disc, uh dpq data in and out,
right? So let's for now keep it simple and scale according to CP percentage right time.
I'm is not something you should be worried about and
the operator. All right, so what should be the condition so should it be greater than or should it
be greater than or equal to let's keep it at greater than or equal to.
So whenever the threshold is greater than a whenever the CPU Z
will go greater than or equal to 70 for 10 minutes so you can set this as say
two minutes, right? Okay. Let's see. It says that it should be
between 5 and 7 2000. Get let's keep it at five increase count by.
So let's see what our options we have here. So you can increase by percentage.
You can increase by count to as in if you were one. You can increase it to 10, right and you can decrease the count or you can decrease the
person by as well. Alright, so when you are auto-scaling guys, you have to set two rules one
is the rule to increase R. Obviously one rule is there to decrease so whenever the traffic goes down you have to decrease
Reese your instances as well. So for now we are setting the increase rule so let's set the increase count by option. So how many instances should increase I think one is a fair
number and cooldown is something that is actually there when you are say you
are asked you right now, right and then say you order scaled one minute back.
And again the CPU usage goes up. So rather than going on and
Filling up again. What you can do is you can wait for 5 minutes and watch the metrics right because it doesn't
happen in a second that your CPU usage will go down because there are a lot of services
which are actually running right so you can beat once your
new server has been deployed. You can wait for the traffic to be transferred to that server
as well. And then you can see the metrics go down right for that.
We keep something called cool down minutes, right? So we have
the default is for Five, let's keep it at five only and now this
is it guys. There's nothing else to configure. Let's click on ADD.
Alright, so as you can see, this rule has been said, let's add one more rule to decrease.
So the CPU percentage is fine. The operator
should be less than or less than right. So
whenever the threshold is less than 50% Decrees
count by one instance and let the cool down be this much.
Alright. So again, the cooldown logic goes here as well. Say you decrease
an instance. And again your CPU is still low because it takes time for your traffic could to
get transferred to the server number. It has the keys down to right.
So let's keep the cooldown in it. So we'll click on our now.
All right, so we have added the auto scaling group.
Hello guys. This is a there's nothin -
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