AWS Database Blog

Category: Database

Troubleshoot network connectivity to Amazon RDS Custom databases using VPC Reachability Analyzer

Amazon Virtual Private Cloud (Amazon VPC) enables you to provision a logically isolated section of the AWS Cloud where AWS resources such as Amazon Relational Database Service (Amazon RDS) Custom DB instances can be launched in a virtual network you define. When creating an Amazon RDS Custom DB instance, you have the option to create […]

Diagram-as-code using generative AI to build a data model for Amazon Neptune

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 […]

Amazon RDS Proxy multiplexing support for PostgreSQL Extended Query Protocol

Today, we are announcing Amazon RDS Proxy multiplexing support for PostgreSQL Extended Query Protocol. In this post, you learn about PostgreSQL’s Extended Query Protocol for communication between client and server, its benefits, and how multiplexing support for Extended Query Protocol can improve the connection pooling capability of RDS Proxy, which in turn reduces the overhead […]

Automatically scale Amazon RDS storage using Amazon CloudWatch and AWS Lambda

Customer databases are constantly growing. When you increase storage for a database in Amazon Relational Database Service (Amazon RDS), you can’t make further storage modifications for either 6 hours or until storage optimization has completed on the instance, whichever is longer. Amazon RDS storage autoscaling increases storage by 10 GiB, 10% of currently allocated storage, […]

Optimize cost and boost performance of RDS for MySQL using Amazon ElastiCache for Redis

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 […]

Best practices for sizing your Amazon ElastiCache for Redis clusters

Amazon ElastiCache for Redis is a fully managed Redis- and Memcached-compatible service delivering real-time, cost-optimized performance for modern applications. It scales to hundreds of millions of operations per second with microsecond response time, and offers enterprise-grade security and reliability. You can scale ElastiCache for Redis seamlessly to accommodate changes in your application usage patterns. It […]

Architect and migrate business-critical applications to Amazon RDS for Oracle

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 […]

New – Amazon Aurora Optimized Reads for Aurora PostgreSQL with up to 8x query latency improvement for I/O-intensive applications

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.

Migrate Oracle global unique indexes in partitioned tables to Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL

When you migrate from Oracle to Amazon Aurora PostgreSQL-Compatible Edition or Amazon Relational Database Service (Amazon RDS) for PostgreSQL, you may need to deal with partitioned tables and ensure global uniqueness across partitions. Oracle Database supports global indexes. A global index contains keys from multiple table partitions in a single index partition. Each table partition […]

Introducing the Amazon Timestream UNLOAD statement: Export time-series data for additional insights

Amazon Timestream is a fully managed, scalable, and serverless time series database service that makes it easy to store and analyze trillions of events per day. Customers across a broad range of industry verticals have adopted Timestream to derive real-time insights, monitor critical business applications, and analyze millions of real-time events across websites and applications. […]