One of the main advantages of using Amazon Web Services instead of hosting a physical IT infrastructure is the ability to quickly and easily scale various services up or down as needed. While this cost-saving feature has long been available for Amazon’s relational databases engine, Amazon Aurora, a real-time, completely automated scaling process will soon be an option thanks to AWS’s new product, Amazon Aurora Serverless.
There are a huge number of AWS customers who use and depend on Amazon DynamoDB for persistent performance for their serverless applications. Amazon DynamoDB has a provisioned capacity model. Customers must set the amount of write and read operations that are required for their application.
The introduction of auto-scaling helps to automate capacity management for tables and indexes on Amazon DynamoDB. When using auto-scaling customers can state upper and lower bands for read and write capacity. After bands have been set by the customer, DynamoDB will work with CloudWatch, another Amazon service, to monitor and modify capacity when appropriate.
While Amazon Web Services typically offers a pay-as-you-go approach for its products, the company’s Relational Database Service (RDS) has been an outlier. Unlike Elastic Compute Cloud (EC2) instances, which can be paused and relaunched as needed, the ability to directly stop and start RDS instances has never been available… until now.
Amazon Web Services announced on the 10th of April that their Database Migration Service (DMS) functionality has been updated to support one of the leading Dev NoSQL databases –MongoDB. This new addition to the DMS allows for data to be streamed from a MongoDB along with any of the other supported databases on AWS, making it easy to migrate MongoDB databases to Dynamo DB.
In our previous blog post, we discussed ‘Which relational database engines does RDS support?’. We talked about the whole idea of Amazon RDS, is to allow you to move your relational databases to the cloud. In the second part of our blog discussing Amazon RDS, we are going to look at 6 amazing reasons to use Amazon RDS with your database engine.