Category: Amazon DynamoDB

Flo is the largest app in the Health and Fitness category worldwide, with 70 million monthly active users. In this post, we explain best practices Flo implemented to scale to more than 70 million monthly active users while achieving 60% cost efficiency with Amazon DynamoDB.

This is the first post of a series dedicated to table restores and data integrity. In this post, we present a solution that automates the PITR restoration process and handles data changes that occur during the restoration, providing a fluid transition back to the restored DynamoDB table with near-zero downtime. This solution enables you to restore a DynamoDB table efficiently with minimum impact your application.

Amazon DynamoDB is a serverless, NoSQL, fully managed database service that delivers single-digit millisecond latency at any scale. AWS recently announced the general availability of attribute-based access control (ABAC) for Amazon DynamoDB. ABAC is an authorization strategy that defines permissions based on attributes. In AWS, these attributes are called tags. You can attach tags to […]

Our continued engineering investments on how efficiently we can operate DynamoDB allow us to identify and pass on cost savings to you. Effective November 1, 2024, DynamoDB has reduced prices for on-demand throughput by 50% and global tables by up to 67%, making it more cost-effective than ever to build, scale, and optimize applications. In this post, we discuss the benefits of these price reductions, on-demand mode, and global tables.

We’re introducing warm throughput, a new capability that provides insight into the throughput your DynamoDB tables and indexes can instantly support and allows you to pre-warm for optimized performance. In this post, we’ll introduce warm throughput, explain how it works, and explore the benefits it offers for handling high-traffic scenarios. We’ll also cover best practices and practical use cases to help you make the most of this feature for your DynamoDB tables and indexes.

By combining DynamoDB streams with Lambda, you can build responsive, scalable, and cost-effective systems that automatically react to data changes in real time. In this post, we explore best practices for architecting event-driven systems using DynamoDB and Lambda. DynamoDB provides two options for capturing data changes (CDC): DynamoDB streams and Amazon Kinesis Data Streams (KDS). In this post, we focus exclusively on DynamoDB streams.

In this post, AWS Service Sector Industry Solutions shares our journey in developing a feature that enables customers to efficiently locate and delete personal data upon request, helping them meet GDPR compliance requirements. The mission of the Service Sector Solutions Engineering Team is to accelerate AWS Cloud adoption across diverse industries, including Travel, Hospitality, Gaming, and Entertainment. We work with customers from Cruise Lines, Lodging, Alternative Accommodation, Travel Agencies, Airports, Airlines, Restaurants, Catering, Casinos, Lotteries, and more.

It’s November, which means that AWS re:Invent 2024 is just around the corner! We’ve summarized a list of re:Invent sessions that include Amazon DynamoDB. We encourage readers who are interested in learning more about DynamoDB to bookmark this list to streamline how you schedule your conference week in Las Vegas this year.

Channel Corporation is a B2B software as a service (SaaS) startup that operates the all-in-one artificial intelligence (AI) messenger Channel Talk. In Part 1 of this series, we introduced our motivation for NoSQL adoption, technical problems with business growth, and considerations for migration from PostgreSQL to Amazon DynamoDB. In this post, we share our experience integrating with other services to solve areas that couldn’t be addressed with DynamoDB alone.

Channel Corporation is a B2B software as a service (SaaS) startup that operates the all-in-one artificial intelligence (AI) messenger Channel Talk. This two-part blog series starts by presenting the motivation and considerations for migrating from RDBMS to NoSQL. In this post, we discuss the motivation behind Channel Corporation’s architecture modernization with Amazon DynamoDB, the reason behind choosing DynamoDB, and the four major considerations before migrating from Amazon Relational Database Service (Amazon RDS) for PostgreSQL.