Category: Intermediate (200)

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 […]

Many customers have Oracle multi-tenant databases in their on-premises environments, and may be looking to use Amazon Relational Database Service (Amazon RDS) for Oracle features while using multi-tenant databases. As of August 2022, Amazon RDS for Oracle supports a subset of multi-tenant architecture called single-tenant architecture. A multi-tenant architecture enables an Oracle database to function […]

An Oracle to Amazon Aurora PostgreSQL-Compatible Edition or to Amazon Relational Database Service (Amazon RDS) for PostgreSQL migration is a multi-stage process with different technologies and skills involved, starting from the assessment stage to the cutover stage. For more information about the database migration process, refer to the following posts: Database Migration—What Do You Need […]