AWS Database Blog
Category: Best Practices
Obtaining item counts in Amazon DynamoDB
Customers often ask for guidance on how to obtain the count of items in a table or within specific partitions (item collections). In this post, we explore several methods to achieve this, each tailored to different use cases, with a focus on balancing accuracy, performance, and cost.
Best practices for Amazon RDS for SQL Server with Amazon EBS io2 Block Express volumes up to 64 TiB
Amazon RDS for SQL Server now supports Amazon EBS io2 Block Express volumes. These volumes are designed to support all your critical database workloads that demand high performance, high throughput, and consistently low latency. io2 Block Express volumes support 99.999% durability, up to 64 TiB storage, up to 4,000 MiB/s throughput, and up to 256,000 Provisioned IOPS for your most demanding database needs, at the same price as EBS io1 volumes. In this post, we share best practices to use the io2 Block Express volumes with RDS for SQL Server DB instances.
Key considerations for successful database management during a merger and acquisition
Databases form a key part of any enterprise and managing databases during an M&A requires careful planning and implementation to ensure a smooth transition and to maintain data integrity. In this post, we highlight some of the key considerations for successful database management during a merger or acquisition spanning from data assessment to integration strategies.
Enhance database performance with Amazon RDS dedicated log volumes
For those seeking to achieve consistent database transaction performance, Amazon RDS has introduced a new feature: dedicated log volume (DLV). This feature is an additional storage volume specifically for database transaction logs. In this post, we examine common DLV performance benefits, use cases, monitoring capabilities, and the cost of deployment.
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.
Unlock the power of parallel indexing in Amazon DocumentDB
Parallel indexing in Amazon DocumentDB (with MongoDB compatibility) significantly reduces the time to create indexes. In this post, we show you how parallel indexing works, its benefits, and best practices for implementation.
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.