AWS Database Blog

Category: Amazon Aurora

Trigger an AWS Lambda function from Amazon RDS for MySQL or Amazon RDS for MariaDB using audit logs and Amazon CloudWatch

AWS Lambda is a serverless compute offering that helps you design event-driven architectures. It provides direct integration with multiple AWS services, including Amazon Aurora MySQL-Compatible Edition. In this post, we show you how to invoke Lambda functions from Amazon Relational Databases Service (Amazon RDS) for MySQL and Amazon RDS for MariaDB using Amazon CloudWatch and […]

Monitor Amazon Aurora Global Database replication at scale using Amazon CloudWatch Metrics Insights

Amazon Aurora is a high-performance, fully managed relational database service offered by AWS. It is compatible with MySQL and PostgreSQL, providing exceptional scalability, availability, and durability for your data. Amazon Aurora Global Database allows you to replicate up to five different AWS Regions and provides robust disaster recovery capabilities. To ensure the resilience and recovery […]

Improve the performance of generative AI workloads on Amazon Aurora with Optimized Reads and pgvector

Generative AI has increased the possibilities for businesses to build applications that require searching and comparison of unstructured data types such as text, images, and video. Embeddings, or vectors, capture the meaning and context of this unstructured data in a machine-readable form, which is the basis for how similarity comparisons can be made directly in […]

Migrate Oracle collections to Amazon Aurora PostgreSQL-Compatible Edition or Amazon RDS for PostgreSQL

Migrating from Oracle to PostgreSQL can involve several steps to ensure a smooth transition. A notable example is an Oracle collection, which is a feature that Oracle database developers commonly use. PostgreSQL does not directly support Oracle collections, and there currently isn’t an extension that adds this capability. There are several decisions you have to […]

Build generative AI applications with Amazon Aurora and Knowledge Bases for Amazon Bedrock

Amazon Bedrock is the easiest way to build and scale generative AI applications with foundational models (FMs). FMs are trained on vast quantities of data, allowing them to be used to answer questions on a variety of subjects. However, if you want to use an FM to answer questions about your private data that you […]

Build a real-time, low-code anomaly detection pipeline for time series data using Amazon Aurora, Amazon Redshift ML, and Amazon SageMaker

The Industrial Internet of Things (IIOT) revolution has transformed the way various industries such as manufacturing and automobile work. Industry 4.0—also called the Fourth Industrial Revolution or 4IR—is the next phase in the digitization of the manufacturing sector, driven by disruptive trends including the rise of data and connectivity, analytics, human-machine interaction, and improvements in […]

How ktown4u built a custom auto scaling architecture using an Amazon Aurora mixed-configuration cluster to respond to sudden traffic spikes

Ktown4u is an e-commerce company that sells fast-growing K-Pop and Hallyu (Korean-Wave) products all over the globe. Since its launch in 2002, the company has grown to over 5 million members and 5,000 fan clubs across 200 countries with 6 languages. Since transitioning from B2B to B2C, the company has grown 15-fold in a short […]

Use the tds_fdw extension to migrate data from SQL Server to PostgreSQL

PostgreSQL has become the preferred open-source relational database for many enterprise companies and startups, powering leading business and mobile applications. Many customers choose PostgreSQL as the target database when migrating from commercial engines such as Oracle and Microsoft SQL Server. AWS offers Amazon Relational Database Service (Amazon RDS) for PostgreSQL and Amazon Aurora PostgreSQL-Compatible Edition […]

Upgrade to Amazon Aurora MySQL version 3 (with MySQL 8.0 compatibility)

Amazon Aurora MySQL-Compatible Edition version 3 (with MySQL 8.0 compatibility) is the most current major version supported on Amazon Aurora MySQL. You can use Amazon Aurora MySQL version 3 to get the latest MySQL-compatible features and performance improvements. MySQL 8.0 introduces several new features, including JSON functions, window functions, common table expressions (CTEs), and role-based […]

PostgreSQL 11 upgrade strategies for Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL

Amazon Aurora PostgreSQL-Compatible Edition and Amazon Relational Database Service (Amazon RDS) for PostgreSQL version 11 end of standard support is February 29, 2024. See the Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL announcements to upgrade your databases: Announcement: Amazon Aurora PostgreSQL 11.x end of support is February 29, 2024 Amazon RDS for PostgreSQL 11 […]