Amazon kicks off AWS re:Invent, its annual customer conference, in Las Vegas tonight with some new serverless offerings designed to make it easier to manage Aurora, Elastic Cache and Redshift without ‘y server services.
Matt Wood, AWS VP, says Aurora Serverless is great for getting up and running quickly with a cloud database, but over time, once you get to very high scale, and you’re dealing with tens of millions of customers, or millions of different records, it can be challenging for customers to deal with these kinds of numbers, forcing them to break the database into many pieces. “What you have to do as a customer to manage at that scale, is that you traditionally divide the data into smaller and smaller parts, and then manage those parts independently. It’s called sharding. And it’s a pain in the butt,” Wood told TechCrunch.
“We’re announcing an unlimited database, which handles all the sharding for you under the hood automatically. So as a customer as your needs change, the database service itself, the Aurora is serverless, able to make changes and automatically manage shards,” he said. That will enable customers to deal with a single database, and it should remove a huge administrative headache that exists. before the construction of this part.
While it was there, the company also announced Elastic Cache Serverless, which is a serverless caching service that sits between your application servers and your database and improves response times and reduces database costs, he said.
“And what we’re adding here is that we’re making everything serverless in a usable way for mission-critical applications running in functional areas. And so you can set up highly available caches with microsecond response times, ready to scale for any amount of data you can dump in less than a minute,” Wood said.
Finally, the company announced that Redshift Serverless now uses AI to automatically optimize and scale Amazon Redshift data warehouses based on query patterns and data volumes, significantly reducing cost of the work that IT must do behind the scenes.
Since each of these options is serverless, it means that Amazon manages all the hardware in the background, and delivers the right amount of resources that you need, scaling when needed without needing to. that IT will handle all back-end management tasks. .