AWS Database Blog

Rajesh Kantamani

Author: Rajesh Kantamani

Introducing pre-warming for Amazon Keyspaces tables

Amazon Keyspaces now supports the pre-warming feature to provide you with proactive throughput management. With pre-warming, you can set minimum warm throughput values that your table can handle instantly, avoiding the cold start delays that occur during dynamic partition splits. In this post, we discuss the Amazon Keyspaces pre-warming feature capabilities and demonstrate how it can enhance your throughput performance.

Introducing Amazon Keyspaces CDC streams

Last week, AWS announced Amazon Keyspaces change data capture (CDC) streams, a new feature that captures real-time data changes in your Amazon Keyspaces tables. In this post, we discuss the architecture of Amazon Keyspaces CDC streams, explore its use cases and benefits, and provide an example demonstrating how to set up CDC streams, stream data, and capture the streamed records.

Concurrency control in Amazon Aurora DSQL

In this post, we dive deep into concurrency control, providing valuable insights into crafting efficient transaction patterns and presenting examples that demonstrate effective solutions to common concurrency challenges. We also include a sample code that illustrates how to implement retry patterns for seamlessly managing concurrency control exceptions in Amazon Aurora DSQL (DSQL).

Perform near real time analytics using Amazon Redshift on data stored in Amazon DocumentDB

In this post, we learn how to stream data from Amazon DocumentDB (with MongoDB compatibility) to Amazon Redshift, unlocking near-real-time analytics and insights. We cover using Amazon DocumentDB change streams and Amazon Redshift streaming ingestion, along with AWS Lambda and Amazon Kinesis Data Streams. We also provide an AWS CloudFormation template for easy deployment of […]

Build aggregations for Amazon DynamoDB tables using Amazon DynamoDB Streams

In this post, we discuss how to perform aggregations on a DynamoDB table using Amazon DynamoDB Streams and AWS Lambda. The content includes a reference architecture, a step-by-step guide on enabling DynamoDB Streams for a table, sample code for implementing the solution within a scenario, and an accompanying AWS CloudFormation template for easy deployment and testing.