AWS Database Blog

Category: Best Practices

Key considerations when choosing a database for your generative AI applications

In this post, we explore the key factors to consider when selecting a database for your generative AI applications. We focus on high-level considerations and service characteristics that are relevant to fully managed databases with vector search capabilities currently available on AWS. We examine how these databases differ in terms of their behavior and performance, and provide guidance on how to make an informed decision based on your specific requirements.

Choose the right change data capture strategy for your Amazon DynamoDB applications

Change data capture (CDC) is the process of capturing changes to data from a database and publishing them to an event stream, making the changes available for other systems to consume. Amazon DynamoDB CDC offers a powerful mechanism for capturing, processing, and reacting to data changes in near real time. Whether you’re building event-driven applications, […]

AWS DMS best practices for moving large tables with table parallelism settings

AWS Database Migration Service (AWS DMS) is a managed migration and replication service that helps move your databases to AWS securely with minimal downtime and zero data loss. You can use this service for both homogeneous or heterogeneous migrations. Data migration challenges can vary depending on the size of the data, complexity of the data […]

Perform a side-by-side upgrade in AWS DMS by moving tasks to minimize business impact

You can use AWS Database Migration Service (AWS DMS) for many use cases, such as migrating from legacy or on-premises databases to managed cloud services, replicating ongoing data changes from online transaction processing (OLTP) databases such as Amazon Relational Database Service (Amazon RDS) to an online analytical processing (OLAP) data warehouse such as Amazon Redshift, […]

AWS tools to optimize your Amazon RDS costs

Customers are actively exploring opportunities to optimize their expenses, aligning with the Cost Optimization pillar of the AWS Well-Architected Framework. In this post, we discuss the following tools that you can use to analyze your spend and optimize your Amazon Relational Database Service (Amazon RDS) costs.

Best practices for successful SSL connections to Amazon RDS for Oracle

In this post, we show you how to successfully set up SSL connectivity with Amazon Relational Database Service (Amazon RDS) for Oracle. For the purpose of this post, we have considered scenarios of SSL connectivity with the source as a SQL Plus client over a Linux platform and also a Java application client. SSL connectivity […]

Amazon RDS Multi-AZ DB Clusters support new storage configurations

Amazon Relational Database Service (Amazon RDS) Multi-AZ DB Clusters are a great way to improve the performance and reduce the cost of demanding database workloads. Since RDS Multi-AZ DB Clusters were launched in March 2022, they have become an increasingly popular option for workloads that need more performance than a single RDS instance can support. […]

Amazon Aurora MySQL version 2 (with MySQL 5.7 compatibility) to version 3 (with MySQL 8.0 compatibility) upgrade checklist, Part 2

In the first part, we discussed the most common issues that will cause upgrade prechecks from Amazon Aurora MySQL-Compatible Edition v2 to v3 to fail. In this post, we discuss the most common causes of prolonged and unsuccessful upgrade. Cluster has XA transactions in the prepared state Amazon Aurora MySQL cancels the upgrade if it […]

Amazon Aurora MySQL version 2 (with MySQL 5.7 compatibility) to version 3 (with MySQL 8.0 compatibility) upgrade checklist, Part 1

Amazon Aurora MySQL-Compatible Edition version 2 (with MySQL 5.7 compatibility) is planned to reach the end of standard support on October 31, 2024. The Amazon Aurora MySQL version 2 end of standard support timeline is discussed in our public documentation. We recommend that you upgrade your databases to the default minor version of Amazon Aurora […]