Articles & Tutorials

This article describes some helpful tips and tricks for developing applications on the AWS SDK for Java.

This article describes the differences between the AWS SDK for Java and previous Java libraries from Amazon Web Services.

AWS infrastructure services are hosted in a number of regions, including locations in the US, Europe, and Asia Pacific. This article lists the web service API endpoints needed to make API requests and manage infrastructure in each region.

This page has been deprecated. For information about getting started with the AWS SDK for Java, please see the Java Developer Guide (linked below).

This document provides an overview of four migration techniques to help you move your data from any Oracle database to Amazon Relational Database Service (Amazon RDS).

This guide provides information on loading data into Amazon RDS for the MySQL 5.1 engine. The main body of the guide provides step-by-step procedures for loading data fast and efficiently while safeguarding your data. An appendix is provided that contains additional technical information.

DB Instances that you create using Amazon RDS come with default MySQL configuration settings that will work for most of your needs. If you need to customize these settings, Amazon RDS enables you to do so using DB Parameter Groups. However, changing these settings can have unintended effects ranging from degraded performance to system crashes. As a result, changing configuration parameters from recommended values should be attempted only by advanced users who wish to assume the risks introduced by modifying the default settings. For those advanced users, this guide describes how to deploy DB Parameter Groups while minimizing the impact and risk of introducing unintended or detrimental impacts to your DB Instances. For an introduction to DB Parameter Groups, see the Amazon RDS Developer Guide.

One of the advantages of Amazon RDS is that you can easily select and change the amount of compute and storage resources available to your DB Instance. This guide will assist you in the process of choosing the initial capacity of your DB Instances and show you how to change the resources available to existing DB Instances.

Amazon RDS provides system resource utilization metrics for each of your DB Instances to assist you in choosing DB Instance classes and allocating storage capacity. This document describes how to access these metrics and provides examples using the Amazon CloudWatch API Tools.

Amazon developer manager James Horsley provides an example application that shows how to use Amazon RDS and Hibernate sharding to help scale your database.

Which data store should you use in your Python application? AWS community developer Reza Lotun discusses the merits of each option available on AWS.

This article and accompanying video walks through the steps for getting started with the AWS SDK for .NET, including installing the AWS SDK for .NET, creating new projects using project templates, running the packaged code samples, and getting help with development.