Category: Amazon DynamoDB*

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 […]

With a microservices architecture, distributed teams often need a central operational excellence team to make sure that the rest of the organization is following operational best practices. For example, you might want to know if you configured lifecycle policy, versioning, and access policies properly for objects in an Amazon S3 bucket. Proper configurations ensure that […]

Though AWS re:Invent 2017 concluded two months ago, we still wanted to round up and share all the excellent Amazon DynamoDB session content from the conference. The following table includes the titles of DynamoDB-related sessions and links to the session recordings, session descriptions, and an explanation of whom each session is best for. AWS re:Invent […]

Migrating data from one database to other can be quite challenging with respect to data consistency, downtime of applications, and key design differences between the target and source databases. AWS Data Migration Service (AWS DMS) helps you migrate databases like MongoDB, Oracle, MySQL, and Microsoft SQL Server to AWS quickly, securely, and seamlessly. The source […]

We recently released On-Demand Backup for Amazon DynamoDB. Using On-Demand Backup, you can create full backups of your DynamoDB tables, helping you meet your corporate and governmental regulatory requirements for data archiving. Now you can back up any table from a few megabytes to hundreds of terabytes of data in size, with the same performance […]

This post describes the performance aspects of migrating data to Amazon DynamoDB using AWS DMS, minimizing downtime, and converting the data that is more suitable for DynamoDB using either map to record or map to document types.

Amazon DynamoDB is a non-relational key/value store database that provides incredible single-digit millisecond response times for reading or writing, and is unbounded by scaling issues. But as in any key/value store, it can be tricky to store data in a way that allows you to retrieve it efficiently. The most efficient method is to fetch […]

Alexander Patrikalakis and Sasha Slutsker are senior software development engineers with Amazon. TL;DR At Amazon, teams all across the company build upon AWS services just like AWS’s external customers. Here we have a contribution from Alex and Sasha, who work on teams supporting Amazon.com about a new client library that they developed to make their […]

Gowri Balasubramanian is a solutions architect at Amazon Web Services. This post describes some common use cases you might encounter, along with their design options and solutions, when migrating data from relational data stores to Amazon DynamoDB. We will consider how to manage the following scenarios: How do you set up a relationship across multiple […]