Category: Databases

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.

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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.

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Amazon’s Relational Database Service (RDS) is a tool provided by AWS that handles provisioning, patching, backup, recovery, failure detection and repair of your relational database engines. This leaves you with more time to concentrate on your data. The whole idea of RDS is to move your relational database to the cloud. It is easy to set up and operate and is also highly scalable, cost-efficient and saves time.

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