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AWS AmazonRDS documentation change

Service: AmazonRDS · 2025-08-28 · Documentation low

File: AmazonRDS/latest/UserGuide/CHAP_Tutorials.md

Summary

Reorganized tutorial sections, added AWS Database Cookbook documentation, and moved GitHub sample code section

Security assessment

Added AWS Database Cookbook section includes security best practices content ('secure, reliable infrastructure' and 'AWS best practices that help you create secure solutions'), but no specific security vulnerabilities are addressed. The change enhances security documentation rather than fixing issues.

Diff

diff --git a/AmazonRDS/latest/UserGuide/CHAP_Tutorials.md b/AmazonRDS/latest/UserGuide/CHAP_Tutorials.md
index dcaace33b..b0cd7081d 100644
--- a//AmazonRDS/latest/UserGuide/CHAP_Tutorials.md
+++ b//AmazonRDS/latest/UserGuide/CHAP_Tutorials.md
@@ -5 +5 @@
-Tutorials in this guideTutorials in other AWS guidesAWS workshop and lab content portal for Amazon RDS PostgreSQLAWS workshop and lab content portal for Amazon RDS MySQLTutorials and sample code in GitHubWorking with AWS SDKs
+Tutorials in this guideTutorials in other AWS guidesTutorials and sample code in GitHubAWS Database CookbookAWS workshop - Amazon RDS PostgreSQLAWS workshop - Amazon RDS MySQLWorking with AWS SDKs
@@ -9 +9 @@ Tutorials in this guideTutorials in other AWS guidesAWS workshop and lab content
-The AWS documentation includes several tutorials that guide you through common Amazon RDS use cases. Many of these tutorials show you how to use Amazon RDS with other AWS services. In addition, you can access sample code in GitHub. 
+The AWS documentation includes several tutorials that guide you through common Amazon RDS use cases. Many of these tutorials show you how to use Amazon RDS with other AWS services. In addition, you can access sample code in . 
@@ -20,0 +21,4 @@ You can find more tutorials at the [AWS Database Blog](https://aws.amazon.com/bl
+  * Tutorials and sample code in GitHub
+
+  * AWS Database Cookbook
+
@@ -25,2 +28,0 @@ You can find more tutorials at the [AWS Database Blog](https://aws.amazon.com/bl
-  * Tutorials and sample code in GitHub
-
@@ -93,0 +96,34 @@ Learn how to enable QuickSight access to an Amazon RDS DB instance in a VPC.
+## Tutorials and sample code in GitHub
+
+The following tutorials and sample code in GitHub show you how to perform common tasks with Amazon RDS:
+
+  * [ Creating the Amazon Relational Database Service item tracker](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/usecases/Creating_rds_item_tracker)
+
+Learn how to create an application that tracks and reports on work items. This application uses Amazon RDS, Amazon Simple Email Service, Elastic Beanstalk, and SDK for Java 2.x.
+
+
+
+
+## AWS Database Cookbook
+
+The [AWS DB Cookbook](https://github.com/aws-samples/sample-aws-database-cookbook/) is a comprehensive database guide that teaches you how to build, deploy, and manage high-performing, cost-effective database solutions on AWS. Step-by-step tutorials guide you through creating production-ready applications and deploying the apps with CloudFormation templates. You'll learn essential AWS services as you build infrastructure, implement networking, develop serverless architectures, manage databases, and integrate generative AI. Learn AWS best practices that help you create secure, scalable solutions while optimizing costs. Whether you're new to AWS or an experienced professional, the AWS DB Cookbook helps you develop skills to solve common database challenges and implement enterprise-ready solutions. The cookbook includes the following sections:
+
+  * [Getting started with AWS for DB applications](https://github.com/aws-samples/sample-aws-database-cookbook/tree/main/1_Getting_Started_with_AWS) – Learn AWS fundamentals like how to set up your account and Jupyter Notebook environment.
+
+  * [Database fundamentals](https://github.com/aws-samples/sample-aws-database-cookbook/tree/main/2_Your_First_Database_on_AWS) – Explore essential database concepts and compare AWS database services to choose the right solution for your workloads.
+
+  * [Serverless web app with Amazon Aurora](https://github.com/aws-samples/sample-aws-database-cookbook/tree/main/3_Building_Your_First_Serverless_Web_App_with_Aurora) – Build an end-to-end retail application with Amazon Aurora PostgreSQL that handles inventory, orders, and customer data.
+
+  * [Monitoring and observability](https://github.com/aws-samples/sample-aws-database-cookbook/tree/main/4_Operational_Excellence_Best_Practices_for_Aurora) – Set up performance tracking and configure alerts to identify potential database issues before they impact your applications.
+
+  * [Scaling with Amazon Aurora](https://github.com/aws-samples/sample-aws-database-cookbook/tree/main/5_Scaling_for_Success_Growing_with_Aurora) – Learn to build resilient multi-Region deployments with Aurora DSQL, and how to scale your databases up for more processing power or out across multiple instances for greater capacity.
+
+  * [Optimization performance and cost](https://github.com/aws-samples/sample-aws-database-cookbook/tree/main/6_Optimizing_Performance_and_Cost) – Optimize your database performance and reduce costs with proven tuning strategies.
+
+  * [Journey to AWS purpose-built databases](https://github.com/aws-samples/sample-aws-database-cookbook/tree/main/7_Break_Free_from_Everything_in_One_Database_Trap_A_Journey_to_Purpose_Built_AWS_Databases) – Build a secure, reliable infrastructure that scales your generative AI solutions and data-driven applications from prototype to enterprise deployment.
+
+  * [GenAI applications with RAG](https://github.com/aws-samples/sample-aws-database-cookbook/tree/main/8_Building_Your_First_GenAI_Application_with_AWS_Data_Foundations) – Build an intelligent search system for insurance and healthcare documents that uses Retrieval Augmented Generation (RAG) to deliver accurate, context-aware results.
+
+
+
+
@@ -124,11 +159,0 @@ Learn how to monitor and tune your DB instance using Performance insights.
-## Tutorials and sample code in GitHub
-
-The following tutorials and sample code in GitHub show you how to perform common tasks with Amazon RDS:
-
-  * [ Creating the Amazon Relational Database Service item tracker](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/usecases/Creating_rds_item_tracker)
-
-Learn how to create an application that tracks and reports on work items. This application uses Amazon RDS, Amazon Simple Email Service, Elastic Beanstalk, and SDK for Java 2.x.
-
-
-
-