In this session, we will learn how to define and run multi-container applications with Docker Compose. Then, we will show how to deploy and scale them seamlessly to a cluster with Docker Swarm; and how Amazon EC2 Container Service (ECS) eliminates the need to install,operate, and scale your own cluster management infrastructure. We will also walk through some best practice patterns used by customers for running their microservices platforms or batch jobs. Sample code and Compose templates will be provided on GitHub afterwards.

Hear how Turtle Rock launched Evolve, their fast-paced mercenary-vs-monster first-person shooter (FPS), to millions of players using AWS regions around the globe. Turtle Rock provides an in-depth view into Evolve's architecture on AWS, including both their Amazon EC2 and Elastic Load Balancing web API stack, as well as their Crytek-based UDP game servers. Hear how they used Amazon VPC subnets, along with an RDS MySQL based server registration service, to balance players across Availability Zones and regions. Learn about Turtle Rock's innovative game server scaling logic, which maintains a pool of game server capacity while keeping costs in check. Finally, see Evolves Graphite and Grafa monitoring setup, which provides player count and server health status across their worldwide fleet.

Air Liquide, a multinational resources company, transformed operations by creating a hybrid cloud environment that leverages the Accenture Cloud Platform to provide fully managed services and the scale and agility of the AWS cloud. In six months, Air Liquide created a pay-as-you-go model for IaaS and PaaS, driving down costs by 30 percent by moving more than 1,700 servers onto cloud platforms. The change also improved the business users experience by providing them the ability to manage their budgets and by increasing flexibility and accountability. This session is sponsored by Accenture.

Learn how Boingo Wireless and online media provider Edmunds gained substantial business insights and saved money and time by migrating to Amazon Redshift. Get an inside look into how they accomplished their migration from on-premises solutions. Learn how they tuned their schema and queries to take full advantage of the columnar MPP architecture in Amazon Redshift, how they leveraged third party solutions, and how they met their business intelligence needs in record time.

As a global publishing house, Scholastic Corporation has brought to market titles such as Clifford the Big Red Dog and series like Harry Potter and The Hunger Games. Scholastic is in the midst of a multi-year technology transformation, which will move it out of the data center business and all-in on AWS. This session will discuss Scholastics DevOps model, which has allowed it to quickly deploy traditional software systems to AWS. It will also discuss how Scholastic addressed enterprise integration challenges by developing "Integration as a Service" and building parallel feeds into Amazon Redshift and other AWS data warehouse and analytics platforms.

Have you prepared your AWS environment for detecting and managing security-related events? Do you have all the incident response training and tools you need to rapidly respond to, recover from, and determine the root cause of security events in the cloud? Even if you have a team of incident response rock stars with an arsenal of automated data acquisition and computer forensics capabilities, there is likely a thing or two you will learn from several step-by-step demonstrations of wrangling various potential security events within an AWS environment, from detection to response to recovery to investigating root cause. At a minimum, show up to find out who to call and what to expect when you need assistance with applying your existing, already awesome incident response runbook to your AWS environment.

Delivering petabyte-scale computational resources to a large community of users while meeting stringent security and compliance requirements presents a host of technical challenges. Seven Bridges Genomics met and overcame them when building the Cancer Genomics Cloud Pilot (CGC) for the National Cancer Institute. The CGC helps users to solve massive computational problems involving multidimensional data, which include: running diverse analyses in a reproducible manner, collaborating with other researchers, and keeping personal data secure to comply with NIH regulations on controlled data sets. Seven Bridges will highlight the lessons learned along the way, as well as best practices for constructing secure and compliant platform services using Amazon S3, Amazon Glacier, AWS Identity and Access Management (IAM), Amazon VPC, and Amazon Route 53.

Successful companies, while focusing on their current customers' needs, often fail to embrace disruptive technologies and business models. This phenomenon, known as the "Innovator's Dilemma," eventually leads to many companies' downfall and is especially relevant in the fast-paced world of online services. In order to protect its leading position and grow its share of the highly competitive global digital streaming market, Netflix has to continuously increase the pace of innovation by constantly refining recommendation algorithms and adding new product features, while maintaining a high level of service uptime. The Netflix streaming platform consists of hundreds of microservices that are constantly evolving, and even the smallest production change may cause a cascading failure that can bring the entire service down. We face a new kind of Innovator's Dilemma, where product changes may not only disrupt the business model but also cause production outages that deny customers service access. This talk will describe various architectural, operational and organizational changes adopted by Netflix in order to reconcile rapid innovation with service availability.

In this session, learn how enterprise customers use AWS storage services to address different storage requirements. Learn how Electronic Arts and H3 Biomedicine manage their data flow from on-premises systems to the cloud, giving them a centralized build system and storage flexibility by leveraging enterprise storage gateways. The State of Texas uses AWS and partner solutions to modernize and secure their office file services, and backup and recovery systems, achieving dramatic savings and productivity gains without compromising IT efficiency.

Thermo Fisher Scientific, a world leader in biotechnology, has built a new polymerase chain reaction (PCR) system for DNA sequencing. Designed for low- to midlevel throughput laboratories that conduct real time PCR experiments, the system runs on individual QuantStudio devices. These devices are connected to Thermo Fishers cloud computing platform, which is built on AWS using Amazon EC2, Amazon DynamoDB, and Amazon S3. With this single platform, applied and clinical researchers can learn, analyze, share, collaborate, and obtain support. Researchers worldwide can now collaborate online in real time and access their data wherever and whenever necessary. Laboratories can also share experimental conditions and results with their partners while providing a uniform experience for every user and helping to minimize training and errors. The net result is increased collaboration, faster time to market, fewer errors, and lower cost. We have architected a solution that uses Amazon EMR, DynamoDB, Amazon Elasticache, and S3. In this presentation, we share our architecture, lessons learned, best design patterns for NoSQL, strategies for leveraging EMR with DynamoDB, and a flexible solution that our scientist use. We also share our next step in architecture evolution.