Category: Amazon DynamoDB

Seven years ago today, AWS CTO Werner Vogels announced the release of Amazon DynamoDB. We developed DynamoDB on the core principles from a whitepaper published in October 2007, and over the last seven years, we have continued to build this fast and flexible NoSQL database service for any scale, one of a selection of AWS […]

Let’s say you have an application that uses database tables to store log and clickstream data. You might store your data in a relational database to ease development and management tasks. When you launch your application, the database is manageable at first, but it grows to hundreds of gigabytes per week. Data storage and retrieval […]

AWS Auto Scaling can scale your AWS resources up and down dynamically based on their traffic patterns. However, a typical application stack has many resources, and managing the individual AWS Auto Scaling policies for all these resources can be an organizational challenge. With scaling plans, you can automate the creation of AWS Auto Scaling policies […]

We recommend that you follow Amazon DynamoDB best practices in 2019 to help you maximize the performance and optimize the costs of your mission-critical workloads when working with DynamoDB. This post highlights DynamoDB content that will help you keep such a resolution. Design and use partition keys effectively The primary key that uniquely identifies each […]

The following 20 pages were the most viewed Amazon DynamoDB documentation pages in 2018. I have included a brief description with each link to explain what each page covers. Use this list to see what other AWS customers have been viewing and perhaps to pique your own interest in a topic you’ve been meaning to explore. […]

The following 10 posts were the most viewed AWS Database Blog posts that we published during 2018. You can use this list as a guide to catch up on your Database Blog reading, or read a post again that you found particularly useful. Query your AWS database from your serverless application How the AWS Schema […]

This blog post focuses on general data security patterns and corresponding AWS security controls that protect your data. Although I mention Amazon RDS and DynamoDB in this post, I plan to cover the implementation-specific details related to Amazon RDS and DynamoDB in two subsequent posts.

More and more, AWS customers want to make their applications available to globally dispersed users by deploying their application in multiple AWS Regions. These global users expect fast application performance. In this post, I describe how to use Amazon DynamoDB to power the database of a global backend deployed in multiple AWS Regions. I use […]

In this post, I demonstrate several ways to use global secondary indexes to query your data, accelerate your application’s performance, and reduce your monthly DynamoDB bill.

Today, we released the Amazon DynamoDB key diagnostics library, which enables you to view graphs and dashboards of your most accessed database items. A DynamoDB table can be used in two different capacity modes—provisioned and on-demand. DynamoDB automatically supports your access patterns as long as the traffic against a given item does not exceed 3,000 […]