AWS Database Blog

Access Amazon RDS across AWS accounts using AWS PrivateLink, Network Load Balancer, and Amazon RDS Proxy

Amazon RDS Proxy is a fully managed, highly available database proxy for Amazon Relational Database Service (Amazon RDS) and Amazon Aurora that makes applications more scalable, secure, and resilient to database failures. With RDS Proxy, you can handle unpredictable surges in database traffic that might otherwise cause issues due to using all available connections or creating new connections at a fast rate. One of the main benefits of RDS Proxy is that it can improve application recovery time while efficiently and automatically handling database failovers, which is valid with both planned and unplanned failovers. For more details, see Improving application availability with Amazon RDS Proxy. For common use cases where RDS Proxy is beneficial, refer to Amazon RDS Proxy FAQs. In this post, we show how to securely and efficiently connect applications in different AWS accounts to an RDS database instance or Aurora cluster using RDS Proxy, AWS PrivateLink, and Network Load Balancer.

Migrate Microsoft Azure SQL Database to Amazon RDS for SQL Server using Smart Bulk Copy

In this post, we outline the steps to migrate an Azure SQL Database to Amazon RDS for SQL Server using Smart Bulk Copy, a method that offers significantly faster migration compared to the SqlPackage export/import approach. Additionally, we discuss best practices and optimizations to minimize downtime during the migration process.

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.

Run complex queries on massive amounts of data stored on your Amazon DocumentDB clusters using Apache Spark running on Amazon EMR

In this post, we demonstrate how to set up Amazon EMR to run complex queries on massive amounts of data stored in your Amazon DocumentDB (with MongoDB compatibility) clusters using Apache Spark. Amazon DocumentDB (with MongoDB compatibility) is a fully managed native JSON document database that makes it easy and cost effective to operate critical document […]

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 […]

Accelerate database development in Amazon RDS and Amazon Aurora with Amazon CodeWhisperer

As organizations continue to scale applications, the need for database developers to quickly pick up new skills becomes increasingly important. Amazon CodeWhisperer is an AI-powered productivity tool for the integrated development environment (IDE) and command line that helps improve developer productivity by generating code recommendations based on your comments in natural language and code in […]

Run Polygon nodes on AWS

In this post, we dive deep into establishing your infrastructure and deploying Polygon blockchain nodes on AWS. We provide recommendations for selecting optimal compute and storage options tailored to various use cases. We discuss the approach to speed up the horizontal scaling of Polygon full nodes on AWS with Amazon Simple Storage Service (Amazon S3) […]

Upgrade Amazon DocumentDB 3.6 to 5.0 with near-zero downtime

Amazon DocumentDB (with MongoDB compatibility) is a fully managed native JSON database designed for scaling enterprise workloads. You can use the same MongoDB API 3.6, 4.0, and 5.0 application code, drivers, and tools to run, manage, and scale workloads on Amazon DocumentDB without worrying about managing the underlying infrastructure. As a document database, Amazon DocumentDB makes it simple to store, query, and index JSON data. With Amazon DocumentDB version 5.0, you can now perform a major version upgrade of your Amazon DocumentDB clusters from version 3.6 and 4.0 to 5.0 in order to unlock latest features including support for vector search, I/O-optimized storage, document compression, text search, partial index and more. In this post, we explore how to perform an upgrade with near-zero downtime from Amazon DocumentDB 3.6 to 5.0 by using an in-place major version upgrade and Amazon DocumentDB volume cloning.

Automate SQL Server discovery and assessment to accelerate migration to AWS

Adopting lift and shift or rehost migration approach can be a viable option for time-sensitive scenarios, particularly when transitioning from an on-premises data center environment. However, it’s crucial to ensure that the chosen migration strategy aligns with your organization’s overall cloud adoption strategy to realize the long-term benefits of cloud-native architectures. For many applications, a […]