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Exciting News From AWS re:Invent

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Exciting News From AWS re:Invent

AWS re:Invent featured exciting news about databases, like Aurora serverless, which makes serverless computing more powerful, and AWS Fargate, which runs Docker containers without a cluster.

· Database Zone ·
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I didn't go to re:Invent this year, but this does not mean I haven't stayed in sync with the latest and greatest in AWS — and today, there are quite a lot of cool and amazing services and capabilities that are either coming out either soon or are already out there for developers harness.

Obviously, there are a lot of new services, capabilities, and even appliances in the machine learning field, and some amazing developments in IoT, security, and new EC machines we can use with the click of a button. But as groundbreaking as these new, shiny toys are, I've found myself excited about the ones that solve the problems I have right now, in my day-to-day microservice-focused job.

I was happy to hear about how Amazon makes serverless computing even more powerful with Aurora serverless. By dividing data and database, Amazon managed to create a powerful, scalable, and lambda-usable database engine that is a real game-changer for anyone working with functions as a service.

The other Lambda/scalable AWS-specific database DynamoDB was not left behind. Soon, we'll be able to replicate the data across regions with Global DynamoDB. And now, we have a data source that's scalable not only for one region but for as many as you need. And on top, finally, we can easily backup and restore DynamoDB in a managed way — just like RDS (in fact, better than it in some ways).

Another cool feature I'm waiting to get my hands on is Amazon S3/Glacier Select. It's a solution to a problem I've always had but never knew could be solved this way. Storing files on S3 is only part of most solutions that are used in order to query data inside S3 and effectively turn it into a simple but useful database.

One of the two announcements that got me excited was the arrival of EKS, Amazon-managed Kubernetes. We've been using Kubernetes for more and more projects in the last couple of years and finally, we have a managed service that can help with the heavy lifting.

And finally, a new service called AWS Fargate, which runs Docker containers without an actual cluster, just like a new EC2 instance. I don't know about you but I want to try this out — the possibilities of using a container and a single entity, not as big as a virtual machine (EC2), but with its own environment (unlike Lambda), should create another set of tools and patterns.

That's it for now. I think that Amazon managed to provide a few game-changers and a lot of improvements to the AWS cloud.

ai ,machine learning ,functions as a service ,database engine ,aws ,aws reinvent

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