Your company is planning to deliver content via an application hosted on a set of EC2 Instances.
The end devices can be laptops, mobile devices, tablets etc.
The content needs to be customized based on the type of end-user device.
Which of the following can help fulfill this requirement, individually and separately, and ensure that cost is MINIMIZED and MAXIMUM ease of deployment? Select 2 answers.
Click on the arrows to vote for the correct answer
A. B. C. D.Answer - A and B.
Option C is incorrect since this is the wrong type of Load Balancer to use for this purpose.
Option D is incorrect since AppStream is the incorrect service to use for this requirement.
The Application Load balancers can be used to distribute the processing powers to different Instances based on the type of request.
The AWS Documentation mentions the following about Lambda@Edge which supports the requirement.
CloudFront can return different objects to viewers based on the device they're using by checking the User-Agent header, which includes information about the devices.
For example, CloudFront can return different images based on the screen size of their device.
For more information on Lambda@Edge, please refer to the below URL.
https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/lambda-at-the-edge.htmlThe best options for this scenario would be Application Load Balancers (ALBs) and CloudFront with Lambda@Edge.
ALBs can also handle SSL termination, allowing secure traffic to be decrypted at the load balancer level, thereby reducing the load on the backend EC2 instances. Additionally, ALBs can distribute traffic based on various metrics, including round-robin, least connections, and IP hash.
Lambda@Edge is a serverless compute service that can be used to run code at the edge locations. This means that Lambda@Edge functions can be used to customize the content that is being delivered based on the type of device that is making the request.
Using CloudFront with Lambda@Edge can help minimize costs because the content is cached at the edge locations, reducing the number of requests that need to be handled by the backend EC2 instances. This can also help to reduce latency and improve the overall user experience.
Network Load Balancers (NLBs) and AppStream 2.0 are not the best options for this scenario because they do not have the capability to route traffic based on the type of end-user device.
In summary, for this scenario, ALBs and CloudFront with Lambda@Edge are the most suitable options to fulfill the requirements while minimizing costs and maximizing ease of deployment.