AWS Caching Solutions Introduction

AWS offers caching solutions that targeted different use cases. In this video, I introduce four ways to cache data: Amazon CloudFront, Amazon EC2, Amazon Elasticache, and Amazon DynamoDB Accelerator. Learn how these options compare and when to use one service over the other.
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[@Xaoticex]

5 mins, this is the ideal length of a technical video.

[@LinuxForLife]

Thoroughly explained and straight to point: congrats! 👍

[@rickharold7884]

Caching rocks!! Happy new year!!

[@santosh.le5]

Great to see this. Thank you. Can you prepare one more small video showing comparison of costs between those 3 variants?

[@rishiraj2548]

Thanks

[@ZergStylexDD]

I really like your videos! Do you plan to make some videos about elasticache?

[@joudawad1042]

Great Video
I just have one question about the DAX with DynamoDB as far as i know that DAX is not working with the latest version of the SDK (V3) which means it only works with oldest versions like v2 which is almost out of date ?
is there a solution for that ? or is there any way to handle the DAX with DynamoDB that has been recently announced that i am not aware of ?

[@sercantor1]

I think you should do a different video talking about non-AWS caching solutions like Momento

[@recursion.]

I'm new to these web service service, can anyone tell me why EC2 is a 'local cache' and ElastiCache is labelled as 'dedicated cache'?

[@peteredmonds1712]

EC2 is local, as you are running it INSIDE your compute cluster. Your EC2 instance might be doing other things, but it is also serving as a cache in this model. That means if EC2 restarts, the cache is wiped (hence, in memory...) ElastiCache is dedicated, meaning it is completely separate from your compute (EC2 or whatever). If your compute goes down, your cache is unaffected.

[@Overthought1]

Re: Redis vs Memcached: Why are we still talking about Memcached here in 2024? Who's still using Memcached & why?