‫So now, let's talk about another feature
‫which is called Geoproximity Routing.
‫And it can be a little bit confusing
‫but I will try to explain with diagrams
‫in the very next slide to make it clear.
‫So this allows you to route traffic to your resources based
‫on the geographic location of your users and resources.
‫So the idea is that with this policy,
‫you're able using a number called the bias
‫to shift more traffic to resources
‫based on specific locations.
‫And it will show you this in a diagram
‫in the very next slide.
‫So the idea is that to change the size
‫of a geographic location, you need to specify a bias value.
‫If you want more traffic to go to a specific resource,
‫you expand the bias value by increasing it.
‫And if you want less traffic to go to your resource,
‫you shrink it, you decrease the bias values
‫to a negative number.
‫So the resources can be resources from AWS,
‫in which case you specify the region they're in
‫and automatically a list will compute the correct routing.
‫Or if there are none, AWS resources exercise
‫such as your on premises data center.
‫Then, you will just need to specify the latitude
‫and longitude, so the AWS knows where they are right now.
‫And then it chooses feature,
‫you need to use the advanced Route 53 Traffic
‫flow to be able to leverage the bias.
‫So the diagram should make everything more simple.
‫And to me, this is what you should remember.
‫So let's take an example of a resource in us-west-1,
‫and one resource in us-east-1.
‫And the bias is set to zero in both regions.
‫So that means that if you have users all around the US
‫trying to access these resources,
‫there's going to be a line dividing the US is too into two,
‫and users left of that line will go to us-west-1,
‫and user rights of that line will go to us-east-1.
‫Now, this is simple, this is when there is no bias, okay?
‫And this looks like going to the closest resource region
‫based on the user location.
‫But thanks to the bias, we can have the same setup
‫but a different way to have the users routed
‫to different regions.
‫So let's take an example.
‫We have us-west-1 and us-east-1,
‫and the bias is set to zero in us-west-1,
‫but we're going to have a positive bias of 50 in us-east-1.
‫And we've seen that the bias make more users
‫and more traffic to that resource.
‫Why?
‫Well, because of the bias now the quote in quote,
‫dividing line between the first.
‫The two resources is going to be a little bit more
‫to the left because of the higher bias of us-east-1.
‫And so that means is that's the user left
‫of that line can go to us-west-1,
‫but the users right or that one will go to us-east-1.
‫So what we do this?
‫Well, for example, you would set your resources
‫all around the world and say you needed to shift
‫more traffic to a specific region.
‫What you would do is that you will use
‫a Geoproximity Routing Policy to increase the bias
‫in that specific region.
‫And therefore, have more users dragged
‫and more users have traffic attracted to that region.
‫So what you to remember going into an exam is
‫that the Geoproximity Routing is really helpful
‫when you need to shift traffic
‫from one region to another, by increasing the bias.
‫Okay?
‫So hopefully the diagrams helped you make more sense
‫of the Geoproximity Routing Policy.
‫I hope you liked this lecture,
‫and I will see you in the next lecture.