AWS AmazonRDS documentation change
Summary
Reorganized tutorial sections, added AWS Database Cookbook documentation, and updated GitHub sample code references. Moved 'Tutorials and sample code in GitHub' section earlier and expanded it with specific implementation examples.
Security assessment
The changes add documentation about security best practices in the AWS Database Cookbook section ('secure infrastructure' mention) and operational excellence monitoring, but do not address any specific security vulnerability. Security aspects are mentioned as part of general best practices rather than responding to a specific security issue.
Diff
diff --git a/AmazonRDS/latest/AuroraUserGuide/CHAP_Tutorials.md b/AmazonRDS/latest/AuroraUserGuide/CHAP_Tutorials.md index bec0332e4..93dd9c2e6 100644 --- a//AmazonRDS/latest/AuroraUserGuide/CHAP_Tutorials.md +++ b//AmazonRDS/latest/AuroraUserGuide/CHAP_Tutorials.md @@ -5 +5 @@ -Tutorials in this guideTutorials in other AWS guidesAWS workshop and lab content portal for Amazon Aurora PostgreSQLAWS workshop and lab content portal for Amazon Aurora 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 Aurora PostgreSQLAWS workshop - Amazon Aurora 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 Aurora use cases. Many of these tutorials show you how to use Amazon Aurora 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 Aurora use cases. Many of these tutorials show you how to use Amazon Aurora 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 +96,46 @@ 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 Aurora: + + * [ Creating an Aurora Serverless v2 lending library](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/cross_service/aurora_rest_lending_library) + +Learn how to create a lending library application where patrons can borrow and return books. The example uses Aurora Serverless v2 and AWS SDK for Python (Boto3). + + * [ Creating an Amazon Aurora item tracker application with a Spring REST API that queries Aurora Serverless v2 data using SDK for Java 2.x](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/usecases/Creating_Spring_RDS_Rest) + +Learn how to create a Spring REST API that queries Aurora Serverless v2 data. It's for use by a React application using SDK for Java 2.x. + + * [ Creating an Amazon Aurora item tracker application that queries Aurora Serverless v2 data using AWS SDK for PHP](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/php/cross_service/aurora_item_tracker) + +Learn how to create an application that uses the `RdsDataClient` of the Data API and Aurora Serverless v2 to track and report on work items. The example uses AWS SDK for PHP. + + * [ Creating an Amazon Aurora item tracker application that queries Aurora Serverless v2 data using AWS SDK for Python (Boto3)](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/cross_service/aurora_item_tracker) + +Learn how to create an application that uses the `RdsDataClient` of the Data API and Aurora Serverless v2 to track and report on work items. The example uses AWS SDK for Python (Boto3). + + + + +## 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. + + + + @@ -212,23 +259,0 @@ Learn about Aurora Machine Learning. -## Tutorials and sample code in GitHub - -The following tutorials and sample code in GitHub show you how to perform common tasks with Amazon Aurora: - - * [ Creating an Aurora Serverless v2 lending library](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/cross_service/aurora_rest_lending_library) - -Learn how to create a lending library application where patrons can borrow and return books. The example uses Aurora Serverless v2 and AWS SDK for Python (Boto3). - - * [ Creating an Amazon Aurora item tracker application with a Spring REST API that queries Aurora Serverless v2 data using SDK for Java 2.x](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/usecases/Creating_Spring_RDS_Rest) - -Learn how to create a Spring REST API that queries Aurora Serverless v2 data. It's for use by a React application using SDK for Java 2.x. - - * [ Creating an Amazon Aurora item tracker application that queries Aurora Serverless v2 data using AWS SDK for PHP](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/php/cross_service/aurora_item_tracker) - -Learn how to create an application that uses the `RdsDataClient` of the Data API and Aurora Serverless v2 to track and report on work items. The example uses AWS SDK for PHP. - - * [ Creating an Amazon Aurora item tracker application that queries Aurora Serverless v2 data using AWS SDK for Python (Boto3)](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/cross_service/aurora_item_tracker) - -Learn how to create an application that uses the `RdsDataClient` of the Data API and Aurora Serverless v2 to track and report on work items. The example uses AWS SDK for Python (Boto3). - - - -