Category: Expert (400)

Learn how to build, train, and score a credit risk machine learning model entirely in SQL using Oracle Machine Learning for SQL (OML4SQL) on Amazon RDS for Oracle. The built-in AutoML feature selects the best algorithm automatically, with no data movement and no external machine learning platforms.

AWS DMS uses exponential backoff for recoverable errors, and default settings can let a change data capture (CDC) task retry silently for up to 30 minutes before failing. This post shows how to tune four recoverable-error settings so CDC tasks fail within minutes, and how to pair them with Amazon EventBridge and Amazon CloudWatch alerts.

In this post, we demonstrate a serverless approach to continuous forensic artifact collection for Amazon RDS and Amazon Aurora databases. By capturing point-in-time snapshots of database internals on a cadence and storing them in Amazon S3, you create a time-series record that AI tools can analyze in seconds. This turns what was hours of manual investigation into an instant conversation.

In this post, you learn how to use the sp_invoke_external_rest_endpoint stored procedure on Amazon RDS for SQL Server 2025 to call AWS services and external HTTPS endpoints directly from T-SQL.

In this post, we demonstrate how SQL Server 2025 on Amazon RDS can call Amazon Bedrock foundation models directly from T-SQL using sp_invoke_external_rest_endpoint. This approach removes middleware, reduces latency, and brings AI capabilities directly into database workflows.

In this post, we show how to configure Windows Active Directory for Amazon RDS for Db2 with Kerberos authentication and how to validate the setup from a domain-joined client. We walk through the end-to-end process published in the aws-samples/sample-rds-db2-tools repository.

In a previous post, Implement network connectivity patterns for Oracle Database@AWS, we covered three connectivity patterns. These are direct peering between an application VPC and the Oracle Database@AWS network, single-Region connectivity using AWS Transit Gateway, and multi-Region connectivity using AWS Cloud WAN. This post walks you through two centralized inspection patterns that route traffic through a dedicated inspection VPC before it reaches its destination: one using AWS Transit Gateway and another using AWS Cloud WAN with service insertion.

Keeping non-production environments current with production data is a common operational need. In this post, you learn how to automate cross-account environment refresh for Amazon Relational Database Service (Amazon RDS) Multi-AZ DB clusters (available for PostgreSQL and MySQL) using a serverless pipeline that runs with a single trigger.

In this post, we dive deep into the Aurora backup architecture, how it differs from Amazon RDS backups, and the Amazon CloudWatch metrics available to monitor your backup storage usage. Through detailed scenarios and visualizations, we demonstrate how workload patterns and retention periods impact backup costs. We also explore cross-Region backup options and share recommended practices to optimize your backup storage consumption.

In Part 1, Part 2, and Part 3 of this series, we explored PostgreSQL’s native indexes (B-tree, GIN, GiST, HASH, BRIN) and specialized extension-based index types (SP-GiST, btree_gin, btree_gist). In this post, we dive into three additional extensions: Bloom (for space-efficient multi-column equality filtering), pg_trgm (for fuzzy text matching and similarity searches), and pg_bigm (for full-text search optimized for Asian languages)