Category: Advanced (300)

Organizations are migrating their Microsoft SQL Server workloads to AWS managed database services like Amazon Relational Database Service (Amazon RDS) for SQL Server or Amazon RDS Custom for SQL Server, which makes it easy to set up, operate, and scale SQL Server deployments in the cloud. Customers often ask us how they can optimize SQL […]

In this post, we explore how to use ProxySQL to achieve a downtime of typically 1 second or less when performing a minor version upgrade on Amazon RDS for MySQL Multi-AZ deployments with two readable standbys (Amazon RDS Multi-AZ DB cluster). ProxySQL is an open source proxy for MySQL. Currently, minor version upgrades or system […]

When upgrading minor versions of RDS Multi-AZ clusters the connections are switched from the current writer to a newly upgraded reader. Clients have the option to connect to either the cluster writer endpoint or the cluster reader endpoint. Normally, they would connect to the writer endpoint. This endpoint is directed to the current writer instance. […]

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports Microsoft SQL Server 2022 for Express, Web, Standard, and Enterprise Editions. You can use SQL Server 2022 features such as accelerated database recovery, intelligent query processing, intelligent performance, monitoring improvements, and resumable online index creations. In this post, we summarize the new features on […]

In this post, we demonstrate how to modify the Amazon Aurora reader auto scaling configuration on a schedule using AWS Application Auto Scaling, on top of the existing auto scaling policies. When your application grows, the load on your database will most likely grow as your application saves larger amounts of data. Whether it’s the […]

Amazon Relational Database Service (Amazon RDS) Custom is a managed database service that automates the setup, operation, and scaling of databases in the cloud while granting you access to the underlying operating system and database environment. You can provision a Multi-AZ Amazon RDS Custom for SQL Server instance for a highly available environment with automatic […]

To be successful with a graph database—such as Amazon Neptune, a managed graph database service—you need a graph data model that captures the data you need and can answer your questions efficiently. Building that model is an iterative process. The earliest stage of the process, in which you are merely getting initial elements on paper […]

Customers often face the challenge of optimizing the cost of their database environments, while having to improve their application performance and response times, as both their data volumes and user base grow. Internet-scale applications that have large volumes of data and high volumes of throughput need underlying data architectures that can support microsecond latencies. Improving […]

Amazon Relational Database Service (Amazon RDS) for Oracle is a fully managed commercial database that makes it straightforward to set up, operate, and scale Oracle deployments in the cloud. In this post, we share the story of a database migration for a business-critical application from a vital database instance running inside Oracle SuperCluster to Amazon […]

Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database built for the cloud. Aurora combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open-source databases. We are excited to announce the launch of the Optimized Reads feature for Aurora PostgreSQL. Aurora Optimized Reads delivers up to 8x improved query latency and up to 30% cost savings compared to instances without it, for applications with large datasets that exceed the memory capacity of a database instance. This new price-performance feature is available on AWS Graviton-based db.r6gd and Intel-based db.r6id instances that support non-volatile memory express (NVMe) storage.