Here.
And welcome back.
Now in today's video, we'll be discussing about the scheduled skilling now scheduled, Skilling allows
us to set our own Skilling schedule.
So, for example, let's assume that every week the traffic to your Web application starts to increase
on Wednesday.
It remains high on Thursday and starts to decrease on Friday.
So this is a recurrent pattern.
So what do you want this before VNS?
This starts you one that year or does killing automatically increases the number of instances beforehand
and after Friday or deskilling should be able to automatically decrease the instances since you know
that the traffic is going to decrease.
So this flexibility can be achieved with the help of scheduled skilling.
So interviewed Skilling, the Skilling actions are outperform automatically as a function of time and
date.
So when you discuss about that dynamic scaling, this scaling happens based on certain factors like
average sepehr utilization and so on.
As opposed to that, the scheduled scaling automatically scales two instances depending upon the date
and time that you specify.
So let's do one thing.
Let's quickly jump in to practical so that we understand how it works.
So for today's demo, we have auto scaling group and this auto scaling group does not really have any
easy to stay standing.
So if you see minimum and desired capacity, boater's zero.
So let's quickly go to Automatic Skilling and Virginia.
There are two subtypes.
One is associated with deskilling, policies where you can Gordin configure the dynamic policies.
And second is their scheduled actions.
So this is where you can Gorder configure their schedules, getting later aspects.
So let's go ahead and create a schedule.
Action Audur the name, let's call it as their more schedule.
They're designed for basically let's call it S2 minimum.
We'll keep it as one maximum as five.
And now you have the recurrence.
So depending upon the use cases, you can see every five minutes, every one at every week or maybe
once or you can even supplier current job.
So let's call it as ones for our simplicity at the start date.
Let's skip the start date for today's date.
And now you'll have to specify the timing in terms of UPC.
So currently that Time in India is named one p.m..
And based on the Indian Standard Time.
If you quickly do a difference, you'll see the exact UPC languages for PIAN.
So let's go ahead and say four thirty three billion.
So at this amount of time the scaling will automatically tienes their design capacity to do and new.
You see two instances will be launched.
So let's go ahead and do a grid.
So you're one great thing is that even though you have added a time zone in UPC, within this dark time,
it will tell you the exact starting in terms of ISP.
So currently it is being two p.m. It is saying a game three.
This specific schedule action will go ahead and modify their desired capacity at a minimum capacity.
So let's quickly wait for a moment here.
All right, so now you see that the time is in three p.m..
Let's go ahead and refresh this page.
And now you see their desired capacity automatically changed from zero to two and the minimum capacity
is one.
And if you want to quickly look into the instances and here you see that there are two new ECPA, two
instances, Vitez starting now.
Now again, if you go to the automatic scaling here you see what it was.
Gate action that you had no idea that scale action event of it.
Now let me show you one more interesting thing here.
So depending upon the type of scaling you can have start, then you can also have an egg.
So in either case, since we only wanted the recurrence of one, that was only a start date.
But as we're discussing that, after Friday, this traffic starts to decrease.
So you want to perform a scaled down operation that so you can depending upon the date, let's select
every vehicle, you know, for every week you have both start time and an image is available.
So this is how you can control the flexibility based on the use case that we were discussing.
So that's the high limit.
We.
I hope you understood the basics of schedule skating.
And I look forward to seeing the next video.