Tag: DynamoDB

Customers tell us that migrating data between different database engines—also known as a heterogeneous migration—can be challenging and time consuming. Some customers such as Samsung had to figure out on their own how to migrate their Apache Cassandra databases to Amazon DynamoDB (see Moving a Galaxy into the Cloud: Best Practices from Samsung on Migrating […]

May 24, 2019, update: Amazon DynamoDB adaptive capacity is now instant, instead of having a 5–30 minute reaction time. Instant adaptive capacity is now on by default for all DynamoDB tables and global secondary indexes.   Amazon DynamoDB is a nonrelational database with high performance at any scale. It is a fully managed service that […]

Many database solutions are available today, and choosing the right one for your use case can be difficult. Recently, NoSQL databases have been widely adopted for real-time web applications. Amazon DynamoDB is an example of a NoSQL database that is optimized to yield significant flexibility and performance benefits over a traditional relational database management system […]

A user profiling system is a system that stores users’ names, IDs, contact information, past behaviors, interests, and other information. Such a system also provides methods to query that user information. In this post, I explain the importance of a globalized user profiling system, how to create this system using Amazon DynamoDB global tables, and […]

In a previous AWS Database Blog post, I introduced Z-order indexing, a way in which you can sort your data to efficiently query an Amazon DynamoDB table by using range bounds on multiple attributes. In this post, we explore the process of creating a schema for your index. We look at how to decide which […]

If you use Amazon DynamoDB as your application’s NoSQL database service, you might want to track how much storage your DynamoDB tables are using. DynamoDB publishes its service metrics to Amazon CloudWatch. CloudWatch helps you monitor and analyze those metrics, set alarms, and react automatically to changes in your AWS resources. Currently, DynamoDB sends many […]

You can reap huge analytical value from billions of items and millions of requests per second in your Amazon DynamoDB service. However, you need to export your data in order to get that analytical value. Copying the data from a DynamoDB table to an analytics platform allows you to extract rich insights. In order to […]

April 01, 2020 update: Changed the security to add a least privileged IAM policy to the role instead of a wide open managed policy, switched to HttpApi in API Gateway for auto-deployment as well as cost, and added to node.js code to detect if a requesting client is base64 encoding the body of the request and […]

A best practice for the deployment of AWS resources is to use a configuration system that treats your infrastructure as code. Infrastructure as code is a key enabler of DevOps practices, which bring developers and operations together to collaborate on automating application delivery at scale. By modeling your entire infrastructure as code in AWS CloudFormation […]

The Amazon DynamoDB Developer Guide provides an overview of concepts and detailed instructions for using the various features of Amazon DynamoDB. The following list contains the 20 most visited pages in the guide during the first two months of 2018. We’ve included a brief description with each link to explain what each page covers. Use […]