AWS re:Invent 2017

Auto Scaling allows cloud resources to scale automatically in reaction to the dynamic needs of customers. This session shows how Auto Scaling offers an advantage to everyone—whether it's basic fleet management to keep instances healthy as an Amazon EC2 best practice, or dynamic scaling to manage extremes. We share examples of how Auto Scaling helps customers of all sizes and industries unlock use cases and value. We also discuss how Auto Scaling is evolving to scaling different types of elastic AWS resources beyond EC2 instances. Data Scientist & Principal Investigator, Hook Hua, from NASA Jet Propulsion Laboratory (JPL) / California Institute of Technology will share how Auto Scaling is used to scale science data processing of remote sensing data from earth-observing satellite missions, and reduce response times during hazard response events such as those from earthquakes, hurricanes, 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!

What if I told you that you could improve your EC2 performance and availability and save money… Interested? Want to learn how to use all the latest functionality including [NEW] EC2 features launched at re:Invent to optimize your spend… How about now? In this session, you'll learn how to seamlessly combine On-Demand, Spot and Reserved Instances, and how to use the best practices deployed by customers all over the world for the most common applications and workloads. After just one hour you'll leave armed with multiple ways to grow your compute capacity and to enable new types of cloud computing applications - without it costing you an arm and a leg.

Amazon EC2 provides resizable compute capacity in the cloud and makes web scale computing easier for customers.  It offers a wide variety of compute instances is well suited to every imaginable use case, from static websites to high performance supercomputing on-demand, all available via highly flexible pricing options. This session covers the latest EC2 features and capabilities, including new instance families available in Amazon EC2, the differences among their hardware types and capabilities, and their optimal use cases.  We also will cover some best practices on how you can optimize your spend on EC2 to make the most of your EC2 instances, saving time and money.

High-performance computing (HPC) in the cloud enables high scale compute- and graphics-intensive workloads across a range of industries—from aerospace, automotive, and manufacturing to life sciences, financial services, and energy. AWS provides application developers and end users with unprecedented computational power for massively parallel applications in areas such as large-scale fluid and materials simulations, 3-D content rendering, financial computing, and deep learning. In this session, we provide an overview of HPC capabilities on AWS. We describe the newest generation of accelerated computing instances, and we highlight customer and partner use cases across industries. Attendees learn best practices for running HPC workflows in the cloud, including graphical pre- and post-processing, workflow automation, and optimization. Attendees also learn about new and emerging HPC use cases, in particular, deep learning training and inference, large-scale simulations, and high-performance data analytics.

AWS provides unprecedented processing power for graphics-intensive applications in areas such as design, engineering simulations, and 3D content rendering. With Amazon EC2 Elastic GPUs, you can easily attach low-cost graphics acceleration to a wide range of EC2 instances over the network, without the constraints of fixed instance types. In this session, learn more about Elastic GPUs architecture, and how you can build powerful graphics-intensive solutions with great flexibility, high quality, and low cost. Our guest speakers discuss their experience building application streaming and SaaS products on top of Elastic GPUs. You also hear from our ISV partners about certifying Elastic GPUs for their 3D applications.

AWS is an elastic, secure, flexible, and developer-centric ecosystem that serves as an ideal platform for Docker deployments. AWS offers the scalable infrastructure, APIs, and SDKs that integrate tightly into a development lifecycle and accentuate the benefits of the lightweight and portable containers that Docker offers. In this session, you learn the benefits of containers, learn about the Amazon EC2 Container Service, and understand how to use Amazon ECS to run containerized applications at scale in production.

Serverless architectures let you build and deploy applications and services with infrastructure resources that require zero administration. In the past, you had to provision and scale servers to run your application code, install and operate distributed databases, and build and run custom software to handle API requests. Now, AWS provides a stack of scalable, fully-managed services that eliminates these operational complexities.  In this session, you will learn about serverless architectures, their benefits, and the basics of the AWS's serverless stack (e.g., AWS Lambda, Amazon API Gateway, and AWS Step Functions). We will discuss how to use serverless architectures for a variety of use cases including data processing, website backends, serverless applications, and “operational glue.” You will also get practical tips and tricks, best practices, and architecture patterns that you can take back and implement immediately.

Whether you are launching a simple website or a scaled application, time to go live is a key consideration for your business. Amazon Lightsail is the easiest way to get started on AWS, letting you build and scale your infrastructure faster. In this session, we will walk you through how to use Lightsail to launch your application with a few clicks and scale it as needed for redundancy, traffic spikes, or intergalactic attack. With in-browser SSH and RDP access, easy server management, and in-console guidance, Lightsail provides all the tools needed for builders of all levels – no prior AWS experience required.

GPUs have a large application in Media and Entertainment workloads. From backend video processing and creation workloads such as VFX/Rendering, transcoding and broadcast playout to high-end creatives as well as video editing workloads. Backed by the NVIDIA Tesla M60 GPUs, G3 instances offer unparalleled power and flexibility to do complex modeling, 3D visualization, computer aided design, seismic visualization, video encoding. G3 instances are the first Amazon EC2 instances to support NVIDIA GRID Virtual Workstation capabilities, with streaming support for four monitors each with up to 4K resolution, and hardware encoding to support up to 10 High Efficiency Video Coding (HEVC) H.265 1080p30 streams or up to 18 H.264 1080p30 streams per GPU for faster video frame processing and improved image fidelity. In this session we will highlight two criticial Media workloads Video Editing via remote application streaming and Broadcast Playout origination from the AWS cloud. We will have Pop Media discuss their remote video editing in the cloud that enables secure remote, real-time editorial and image processing session views. This will be followed by Evertz regarding Discovery Channel's broadcast Playout application for several live Discovery channels currently.

More customers are moving their Microsoft applications to AWS to become more agile, improve their security posture, and dramatically lower costs. Attend this session to learn how to architect fully available and scalable Microsoft environments on AWS. Find out how Microsoft solutions can leverage various AWS services to achieve more resiliency, reduce complexity, improve security, and increase scalability. We discuss how you can leverage AWS services to meet compliance and governance requirements for your Microsoft applications. We introduce DevOps concepts that you can deploy to help implement automation and repeatability. Learn how to plan authentication and authorization for hybrid cloud scenarios between your AWS and on-premises environments. Learn about common architecture patterns for network design, Active Directory, and business productivity solutions such as Dynamics AX, CRM, and SharePoint, and common scenarios for custom .NET and .NET Core with SQL deployments.