Category: Amazon DynamoDB

Back in college, I created entity-relationship diagrams to model the system requirements of a relational database. The process involved finding all of the entities of the software system and defining relationships among them. I then modeled the relationships and entities into database tables before deciding which queries the database had to support. This method of […]

Since its release in 2012, Amazon DynamoDB has become a fully managed, multi-region, multimaster database service designed to deliver fast and predictable performance at any scale. DynamoDB is a NoSQL database that provides three options for performing operations: a web-based console, the AWS Command Line Interface (CLI), and a set of SDKs for a number […]

Scaling up database capacity can be a tedious and risky business. Even veteran developers and database administrators who understand the nuanced behavior of their database and application perform this work cautiously. Despite the current era of sharded NoSQL clusters, increasing capacity can take hours, days, or weeks. As anyone who has undertaken such a task […]

Time-series data shows a pattern of change over time. For example, you might have a fleet of Internet of Things (IoT) devices that record environmental data through their sensors, as shown in the following example graph. This data could include temperature, pressure, humidity, and other environmental variables. Because each IoT device tracks these values over […]

AWS CTO Werner Vogels often jokes that AWS is in the business of “pain management for enterprises,” which gets to the root of many of the IT challenges AWS customers face. Simply asking “Where can we provide customers the most benefit?” often results in a discussion of databases and related license costs, performance and scalability […]

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. […]