Category: Intermediate (200)

Authorized Amazon DynamoDB users can perform actions against tables using the AWS Management Console, API, AWS CLI/SDK, or AWS CloudFormation. One of many possible operations that authorized users can perform is deleting a table. During the course of regular table management operations, authorized users might accidentally delete a table. Accidental deletion of a table can […]

Amazon Neptune version 1.2.1.0 now supports the Apache TinkerPop 3.6.x release line, which offers a number of major new features and improvements to existing functionality. New features include fresh additions to the Gremlin language itself, like the P.regex predicate for filters and the mergeV() and mergeE() steps, which should help simplify complex upsert-like functionality. In this […]

April, 2026: Aurora Serverless v2 has been renamed Aurora serverless. No action required. In this post, you learn about Aurora Serverless v2 databases and factors to consider when replacing provisioned instances with Aurora Serverless v2 instances. Amazon Aurora Serverless allows you to use Amazon Aurora MySQL-Compatible Edition and Amazon Aurora PostgreSQL-Compatible Edition without worrying about […]

This post is co-written with Sanjna Srivatsa, Data Scientist at VMware. Amazon DynamoDB provides discounts ranging from 50 percent to 77 percent to customers who commit to paying for a minimum usage level, called reserved capacity. In this post, you learn how to use historical DynamoDB usage data to make your first DynamoDB reserved capacity […]

April, 2026: Aurora Serverless v2 has been renamed Aurora serverless. No action required. Amazon Aurora Serverless is an on-demand, auto scaling configuration for Aurora. It scales the capacity up or down based on your application’s needs. It enables you to run your database in the cloud without managing any database capacity. Aurora Serverless v2 supports […]

This is a guest post by Sagi Tsofan, Senior Software Engineer at Wiz in partnership with AWS. At Wiz, it’s all about scale. Our platform ingests metadata and telemetry for tens of billions of cloud resources every day. Our agentless scanner collects massive amounts of data that needs to be processed very efficiently. As our […]

Point-in-time recovery (PITR) in Amazon DynamoDB is a fully managed capability that creates continuous backups of your DynamoDB table data. Continuous backups are important to ensure business continuity and compliance with regulations, and to protect against human errors, such as unintended writes or deletes. When PITR is enabled for a DynamoDB table, DynamoDB automatically backs […]

Semantic reasoning is a powerful form of symbolic AI that brings meaning to data. At a high level, this is achieved by inferring new facts from existing information (or base facts) using a data model and knowledge of the domain. It can be useful for performing calculations, ensuring consistency, and detecting intricate patterns. Semantic reasoning […]

For newcomers to DynamoDB, the learning curve can be steep, so we developed DynamoDB Shell (ddbsh), an open-source command line interface for Amazon DynamoDB. One of the objectives of ddbsh is to provide a simple and intuitive environment for newcomers to DynamoDB that allows them to get started by running familiar SQL-like commands. The query […]

A managed cloud service eliminates the tedious task of managing infrastructure and offers several key benefits, including scalability, cost savings, and security. These benefits make it compelling for mission-critical applications to move to the cloud. High availability is especially important for these applications because any downtime can cause loss of revenue, impact team productivity, and […]