AWS re:Invent 2014

As more customers adopt Amazon VPC architectures, the features and flexibility of the service are squaring off against increasingly complex design requirements. This session follows the evolution of a single regional VPC into a multi-VPC, multiregion design with diverse connectivity into on-premises systems and infrastructure. Along the way, we investigate creative customer solutions for scaling and securing outbound VPC traffic, managing multitenant VPCs, conducting VPC-to-VPC traffic, running multiple hybrid environments over AWS Direct Connect, and integrating corporate multiprotocol label switching (MPLS) clouds into multiregion VPCs..

Learn how to use the variety of AWS storage services and features to deploy backup and archiving solutions that are low cost and easy to deploy, manage and maintain. The session will present reference architectures, best practices and use cases based on AWS services including Amazon S3, Glacier and Storage Gateway. Special topics will include how to move your data securely into the AWS cloud, how to retrieve and restore your data, and how to backup on-premises data to the cloud using Amazon Storage gateway and other third party storage gateways.

In this session, you learn how Inova Translational Medicine Institute (ITMI) uses Amazon S3 together with an on-premises cloud gateway from Avere Systems to take advantage of the unlimited capacity scaling in the cloud while lowering the cost of data storage. ITMI describes how they worked together with AWS and Avere Systems to deploy a highly available, secure and scalable data storage solution for managing its database of 5000 complete whole genome sequences. You hear how ITMI's hybrid cloud storage solution works together with their integrated environment and allows them to tie together disparate systems and treat the cloud as an on-premises data center, without the maintenance overhead.

In this session, you learn how you can leverage AWS services together with third-party storage appliances and gateways to automate your backup and recovery processes so that they are not only less complex and lightweight, but also easy to manage and maintain. We demonstrate how to manage data flow from on-premises systems to the cloud and how to leverage storage gateways. You also learn best practices for quick implementation, reducing TCO, and automating lifecycle management.

In the event of a disaster, you need to be able to recover lost data quickly to ensure business continuity. For critical applications, keeping your time to recover and data loss to a minimum as well as optimizing your overall capital expense can be challenging.

This session presents AWS features and services along with Disaster Recovery architectures that you can leverage when building highly available and disaster resilient applications. We will provide recommendations on how to improve your Disaster Recovery plan and discuss example scenarios showing how to recover from a disaster.

We will also include a real life customer example of a deployment using AWS for High Availability and Disaster Recovery.

In this session, we show how to architect, deploy, and scale an application for high availability within a region along with failing over to another AWS region in the event of a disaster at your primary region. During the session, we use real-time live demos and code examples for high availability and disaster recovery scenarios.

Leveraging big data and high performance computing (HPC) solutions enables your organization to make smarter and faster decisions that influence strategy, increase productivity, and ultimately grow your business. We kick off the Big Data and HPC track with the latest advancements in data analytics, databases, storage, and HPC at AWS. Hear customer success stories and discover how to put data to work in your own organization.

Since 2011, ONS.org.br (responsible for planning and operating the Brazilian Electric Sector) has been using AWS to run daily simulations using complex mathematical models. The use of the MIT StarCluster toolkit makes running HPC on AWS much less complex and lets ONS provision a high performance cluster in less than 5 minutes. Since the elapsed time of a big cluster depends of the user, ONS decide to develop a HPC portal where its engineers can interface with AWS and MIT StarCluster without knowing a line of code or having to use the command terminal. It is just a simple turn-on/turn-off portal. The cluster now gets personal, and every engineer runs the models using HPC on AWS as if they are using a PC.

Got data? Interested in learning about NoSQL? In this session, we take you from not knowing anything about Amazon DynamoDB to being able to build an advanced application on top of DynamoDB. We start with an overview of the service, basic fundamental concepts, and then dive right in to a hands-on follow along tutorial in which you: create your own table, make queries, add secondary indexes to existing tables, query against the secondary indexes, modify your indexes, as well as detect changes to your data in DynamoDB to build all kinds of analytics and complex event processing apps. You can walk in a novice with DynamoDB, but rest assured, you will walk out as a NoSQL expert ready to tackle large distributed systems problems with your database problems addressed with DynamoDB.

NASA imaging satellites deliver GB's of images to Earth every day. Mapbox uses AWS to process that data in real-time and build the most complete, seamless satellite map of the world. Learn how Mapbox uses Amazon S3 and Amazon SQS to stream data from NASA into clusters of EC2 instances running a clever algorithm that stiches images together in parallel. This session includes an in-depth discussion of high-volume storage with Amazon S3, cost-effecient data processing with Amazon EC2 Spot Instances, reliable job orchestration with Amazon SQS, and demand resilience with Auto Scaling.