‫Okay.
‫So let's summarize what we've learned regarding
‫Global Applications in AWS.
‫First, we've seen the global DNS Route 53,
‫and this is a great way for you to route users,
‫to the closer to deployment with the least latency
‫and is going to be very helpful as well
‫when we define disaster recovery strategies.
‫So we showed how to create records
‫and how to have them point from
‫host name to IP for example.
‫We've seen a global content delivery network,
‫CDN CloudFront,
‫and we've actually hooked it up to Amazon S3.
‫So the idea is that we were able to replicate
‫part of our application data into some AWS Edge Locations
‫and this allowed us to decrease latency.
‫And on top of it,
‫we were able to cache the common request in CloudFront,
‫which gives us improve user experience
‫and decreased latency.
‫Next, we have the S3 transfer acceleration
‫that actually is going to allow us to accelerate
‫global uploads and downloads into Amazon S3
‫and also leverages the Edge Locations of AWS.
‫Google Accelerator, yet again,
‫leverages these Edge Locations, the global network,
‫and this gives us an improved global application
‫availability and performance.
‫Next we've seen Outposts.
‫So this is more of how to extend our whole infrastructure.
‫So Outposts allow us to deploy these Outposts Racks
‫into our own data center to extend some AWS services.
‫So here we have the Cloud of AWS within our data center
‫on premises.
‫We have WaveLength and this is to bring in
‫services to the Edge thanks to the 5G networks
‫and give us ultra low latency application.
‫And finally, Local Zones.
‫Local Zones are allowing us to bring resources of AWS
‫to just compute database storage closer to your users,
‫for example, in Boston, Dallas, Miami, Chicago, and so on.
‫And this is going to be really, really good
‫when you have a latency sensitive application
‫that needs to have a very, very fast local access
‫in a specific region of the United States or the World.
‫But for now just the US.
‫Okay, so that's it for this lecture.
‫I hope you liked it.
‫And I will see you in the next lecture.