AWS Database Blog
Tag: HAQM DynamoDB
2019: The year in review for HAQM DynamoDB
Last updated: December 17, 2019 2019 has been another busy year for HAQM DynamoDB. We have released new and updated features that focus on making your experience with the service better than ever in terms of reliability, encryption, speed, scale, and flexibility. The following 2019 releases are organized alphabetically by category and then by dated […]
Monitoring HAQM DynamoDB for operational awareness
HAQM DynamoDB is a serverless database, and is responsible for the undifferentiated heavy lifting associated with operating and maintaining the infrastructure behind this distributed system. As a customer, you use APIs to capture operational data that you can use to monitor and operate your tables. This post describes a set of metrics to consider when […]
Bring your own encryption keys to HAQM DynamoDB
Today, HAQM DynamoDB introduced support for customer managed customer master keys (CMKs) to encrypt DynamoDB data. Often referred to as bring your own encryption (BYOE) or bring your own key (BYOK), this functionality lets you create, own, and manage encryption keys in DynamoDB, giving you full control over how you encrypt and manage the security […]
A roundup of HAQM DynamoDB launches from November 11–15, 2019
HAQM DynamoDB had six new launches last week, and this post includes a brief summary of each launch to help you keep track of everything that’s new. These launches include region expansions and new and updated features. Ping us @DynamoDB on Twitter if you have questions about any of these launches Monday, November 11 HAQM […]
Applying best practices for securing sensitive data in HAQM DynamoDB
October 2023: This post was reviewed and updated to include the integration of HAQM DynamoDB Dataplane operations in AWS CloudTrail. The first post of the series, Best practices for securing sensitive data in AWS data stores, described some generic security concepts and corresponding AWS security controls that you can apply to AWS data stores. Using […]
Introduction to HAQM DynamoDB for Cassandra developers
This blog post introduces HAQM DynamoDB to Cassandra developers and helps you get started with DynamoDB by showing some basic operations in Cassandra, and using AWS CLI to perform the same operations in DynamoDB. HAQM DynamoDB is a fully managed, multiregion, multimaster NoSQL database that provides consistent single-digit millisecond latency at any scale. It offers […]
Learn to build NoSQL database-driven applications using HAQM DynamoDB with new edX course
Modern organizations are constantly looking for ways to get more value from their data, making it increasingly important for teams and individuals to understand how to build database-driven applications in the AWS Cloud. As the data landscape continues to evolve to include more cloud-based databases, an increasing number of developers are choosing non-relational databases that are […]
Implementing priority queueing with HAQM DynamoDB
Queuing is a commonly used solution for separating computation components in a distributed processing system. It is a form of the asynchronous communication system used in serverless and microservices architectures. Messages wait in a queue for processing, and leave the queue when received by a single consumer. This type of messaging pattern is known as […]
Your guide to HAQM DynamoDB sessions, workshops, and chalk talks at AWS re:Invent 2019
Last updated: December 3, 2019 AWS re:Invent 2019 is almost here! This post includes a complete list of HAQM DynamoDB sessions, workshops, and chalk talks at AWS re:Invent 2019. Use the information on this page to help schedule your conference week in Las Vegas this year. If you still haven’t registered for re:Invent and need some […]
Choosing the right number of shards for your large-scale HAQM DynamoDB table
As a general design best practice, you can optimize your use of HAQM DynamoDB throughput capacity by designing your application for uniform read and write activity across all logical partition keys in the table and its indexes. In doing so, you can prevent creating hot partitions that could consume a disproportionate amount of your table’s […]