Articles & Tutorials

Describes how to ensure that your application does not lose access to Amazon SimpleDB as a result of incorrect TTL handling.

Don Denoncourt shows you how to add scalable and reliable storage to your Grails-based web application with Amazon S3 and the AWS SDK for Java.

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

New to AWS? This article walks through three popular Amazon services (Amazon S3, Amazon SQS, and Amazon EC2) using the boto library for Python.

Use the Marajo framework to help migrate your Django or Pylons application to Amazon Web Services.

This guide describes how to get started with User Provided Kernels.

This document provides a quick guide on how to use Elastic MapReduce to develop, debug, and run job flows that have multiple steps.

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.

Microsoft MVP Marco Shaw demonstrates how to automate AWS infrastructure services using Microsoft Windows PowerShell 2 and the AWS SDK for .NET, with examples for Amazon S3.

This guide has been deprecated for the updates to the User and Developer Guides.

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

This guide introduces the AWS SDK for Java and provides a walk-through for getting started using the SDK for both Eclipse and non-Eclipse users.

Recently enroll in Amazon SimpleDB? Learn about constructing Amazon SimpleDB queries by walking through a number of hands-on examples. Don't forget to give it a grade when you're done.

This tutorial describes one approach to using Amazon EC2's Elastic Block Store (EBS) as a persistent storage mechanism for a production MySQL database server, including snapshot backup and restore.

Sending files to multiple recipients has never been easier! Deliver files to as many recipients as you need by simply dragging and dropping them onto a floating desktop icon — no need to set up FTP, Amazon S3, email and network transfers separately!

This document outlines the new strong consistency features inSimpleDB - consistent read and conditional put/delete. It alsodemonstrates how they can be used to program key database application scenarios such as persistent application state, concurrency control, item counter,and conditional update/delete.

This video provides an introduction to the use of Apache Hive tooperate a data warehouse with Amazon Elastic MapReduce. It takes youthrough the development of Hive script using an interactive job flowand shows you how to deploy this script in Amazon S3 and how to runjob flows to execute the script in batch mode.

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.

Most applications developed today need structured data stores, i.e. data stores that allow storage of data records that have multiple attributes, and allow the application to query its data based on one or more of these attributes.The most popular example of a structured data store is a relational database. Relational databases allow customers to define their data through a pre-defined relational schema and to query their data using SQL.In addition to relational databases, there are several non-relational structured data stores that allow customers to store data records with multiple attributes and query based on one or more of these attributes.These non-relational data stores differ in how they structure data: all the way from enforcing no schema structure to enforcing a semi structured schema.

Pixable is a fast and easy album creator that allows users to import photos that are already on Facebook, Flickr and Picasa.

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.

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.

This article shows how to use Amazon Elastic MapReduce and Hive toprocess logs uploaded to Amazon S3 from a fleet of boxes which areserving online advertising. The logs are processed and the resultinginformation is stored in a collection of relational tables persistedin Amazon S3 and queryable using Hive. Summaries of the data arepushed to Amazon SimpleDB where they are accessible to monitoring tools.

In order to upgrade your AMI to the latest kernel you will have to launch your existing AMI and rebundle it explicitly overriding thedefault bundling tools behavior - which is to use the instance meta-data service to determine your current kernel and ramdiskcombination OR overriding the launch time kernel and ramdisk parameters.