Amazon AppStream 2.0 is an application streaming service that provides users with instant access to their applications from anywhere, on any connected device. Delivering desktop apps from the cloud allows enterprises to manage user access easily and keep apps current; ISVs can reach more users across more devices. In this session, we cover best practices for streaming desktop applications from the AWS Cloud with Amazon AppStream 2.0, and show you how you can address advanced topics such as user authentication, security, and managing an application catalog.

Join us for a compelling session to learn how technological innovation can save lives. Hear from a customer that uses AWS very differently and has the ability to move rapidly to address pressing societal problems with the aid of AWS. Learn how mobile and IoT technology allows them to scale and accelerate their impact. Speakers talk about why they selected specific AWS services, and how that allowed their teams to be agile and focus more on their solutions instead of undifferentiated plumbing. The ShotSpotter Flex gunfire data service uses acoustic sensors to detect gunshots in the field. Data is then transmitted to the AWS Cloud, and further processed to validate signatures and, if necessary, alert emergency dispatch teams.

Learn about the 6 Rs of migrating, migration patterns, and how to map your portfolio to the patterns. Discover how your business drivers and overall IT strategy determine the migration patterns you need, and learn best practices for selecting the appropriate Rs.

As customers build and run production microservices architectures based on containers, having powerful tools to manage the placement and scheduling of these workloads is critical. Amazon ECS allows customers to focus on building their application and removes the need for managing the cluster management software entirely. This session will focus on the capabilities of the new ECS task placement engine, the built-in ECS schedulers, and explore how customers can build custom schedulers using the ECS event stream and Blox, a newly announced open source scheduling framework that gives developers additional choice and control in how they manage containers in production.

AWS Elastic Beanstalk provides an easy way for you to quickly deploy, manage, and scale applications in the AWS Cloud. Through interactive demos and code samples, this session will teach you how to deploy your code using Elastic Beanstalk, provision and use other AWS services (Amazon SNS, Amazon SQS, and Amazon DynamoDB), use your application’s health metrics to tune performance, scale your application to handle millions of requests, perform zero-downtime deployments with traffic routing, and keep the underlying application platform up-to-date with managed updates. Code samples for demos will be available to all session attendees.

Amazon Redshift is a fast, simple, cost-effective data warehousing solution, and in this session, we look at the tools and techniques you can use to migrate your existing data warehouse to Amazon Redshift. We will then present a case study on Scholastic’s migration to Amazon Redshift. Scholastic, a large 100-year-old publishing company, was running their business with older, on-premise, data warehousing and analytics solutions, which could not keep up with business needs and were expensive. Scholastic also needed to include new capabilities like streaming data and real time analytics. Scholastic migrated to Amazon Redshift, and achieved agility and faster time to insight while dramatically reducing costs. In this session, Scholastic will discuss how they achieved this, including options considered, technical architecture implemented, results, and lessons learned.

Scaling allows cloud resources to scale automatically in reaction to the dynamic needs of customers. This session will show how Auto Scaling offers an advantage to everyone – whether it’s basic fleet management to keep instances healthy as an EC2 best practice, or dynamic scaling to manage “extremes”. We’ll share examples of how Auto Scaling is helping customers of all sizes and industries unlock use cases and value. We’ll also discuss how Auto Scaling is evolving to scaling different types of elastic AWS resources beyond EC2 instances. NASA Jet Propulsion Laboratory (JPL) / California Institute of Technology will share how Auto Scaling is used to scale science data processing of Interferometric Synthetic Aperture Radar (InSAR) data from earth-observing satellite missions, and reduce response times during hazard response events such as those from earthquakes, floods, and volcanoes. JPL will also discuss how they are integrating their science data systems with the AWS ecosystem to expand into NASA’s next two large-scale missions with remote-sensing radar-based observations. Learn how Auto Scaling is being used at a global scale – and beyond!

You have decided to shut down a data center and move your applications to AWS, and you know you’ll need some help. Whether you need just tools, boots on the ground to move those applications, or someone to teach you how, you can find help among the group of elite partners that the AWS Partner Network has assembled to assist customers with meeting their business objectives. In this session, you will discover the variety of services our partners provide, learn how to select the appropriate partner for your needs, and hear about the experiences of customers who used partners to accomplish big objectives on AWS.

Today's health care systems generate massive amounts of protected health information (PHI) — patient electronic health records, imaging, prescriptions, genomic profiles, insurance records, even data from wearable devices. In this session, UPMCe dives deep into two efforts: Their 'Data Liberation Project' — a next-gen petabyte-scale software solution that provides responsible management of PHI within their own environments as well as externally, and “Neutrino” a real time medical document aggregator which utilizes natural language processing techniques to unlock hidden value from unstructured narratives. UPMC Enterprises (UPMCe), a division of University of Pittsburgh Medical Center, builds technology and invests in health care companies, from new startups to large established partners, with an eye toward revolutionizing healthcare. They embody the startup mentality with a focus on innovation and creating new data-heavy applications—all in support of new spin-off companies, furthering economic development, and disrupting healthcare. Join us to learn how they do security management and governance using Amazon S3, Amazon EC2, AWS Config, AWS CloudTrail, and other Amazon services help UPMCe think big about healthcare data in the public sector.

Join us to learn about the state of serverless computing from Dr. Tim Wagner, General Manager of AWS Lambda. Dr. Wagner discusses the latest developments from AWS Lambda and the serverless computing ecosystem. He talks about how serverless computing is becoming a core component in how companies build and run their applications and services, and he also discusses how serverless computing will continue to evolve.