AWS re:Invent 2017

Amazon EC2 P3 instances offer up to eight of the latest NVIDIA Tesla V100 GPUs, with up to 13X the speed of previous generation GPU instances. In this session, learn from Airbnb how they use machine learning to make their services smarter and more engaging for their customers and how they are using P3 instances to dramatically lower training time of their machine learning models while optimize costs.

Amazon EC2 X1 and X1e instances are designed to demand memory-optimized enterprise workloads, including production installations of SAP HANA, Microsoft SQL Server, Apache Spark, and Presto. Just recently released, x1e.32xlarge are our largest cloud-native instances yet, offering 4 TB of DDR4 memory per instance. Join this session for a detailed look into this new instance, and learn how enterprise customers are using these instances to run mission-critical workloads, such as SAP HANA, to realize greater speed and agility.

Matt Garman, Vice President of AWS Compute Services, will introduce the latest innovations in the Compute space.  At this session, we will be announcing  new Compute capabilities, as well as insights into some of the underlying thinking of what makes the AWS Compute business unique.   This session will cover new announcements around capabilities for EC2 instances, EC2 networking, EC2 Spot Instances, Amazon Lightsail, Containers and Serverless. Matt will also be joined by executives from our customers and partners, including GE CTO Chris Drumgoole, Heroku CEO Adam Gross, and Autodesk Chief of Product and Cloud Security Reeny Sondhi, who will share valuable success stories of how Amazon EC2 has helped their journey to digital transformation.

Amazon EC2 provides a broad selection of instance types to accommodate a diverse mix of workloads. In this session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.

Salesforce and AWS are leading the next revolution in building engaging customer experiences. Behind every great experience is an app, and the power of the Salesforce platform lets you build apps fast. Adding to that experience is the AWS platform that extends the ability to rapidly deliver apps by offering developers a collection of purpose-built and ready-to-consume set of services. Salesforce Heroku—built entirely on AWS—enables developers to focus on building business apps fast instead of spending cycles on the monotonous heavy-lifting. In this session, you learn how Salesforce Heroku and AWS accelerate developer productivity and lower operational complexity to deliver solutions around Salesforce data integration, media delivery, web security, big data analytics and warehousing. Session sponsored by Salesforce

With Amazon EBS, you can easily make a simple point-in-time backup for your Amazon EC2 instances. In this deep dive session, you learn how to use Amazon EBS snapshots to back up your Amazon EC2 environment. We review the basics of how snapshots work as well as how to tag snapshots, track costs, and automate snapshots using AWS Lambda. We describe best practices and share tips for success throughout.

Researchers and IT professionals who use high-performance computing (HPC) and high-throughput computing (HTC) need a large scale infrastructure to move their research forward. This session provides reference architectures for running your workloads on AWS, which enable you to achieve scale on-demand and reduce your time to science. We debunk myths about HPC in the cloud and demonstrate techniques for running common on-premises workloads in the cloud.

In this session, you learn how to effectively harness Spot Instances for production workloads. Amazon EC2 Spot Instances enable you to use spare EC2 computing capacity, capacity that is often 90% less than on-demand prices. We explore application requirements to use Spot Instances, best practices learned from thousands of customers, and the services that make it easy. Finally, we run through practical examples of how to use Spot for the most common production workloads, the common pitfalls customers run into, and how to avoid them.

Amazon EC2 F1 instances with field programmable gate arrays (FPGAs), combined with improved cloud-based FPGA programming tools, provides researchers, application developers, and startups with a well-tested, standardized, and accessible platform for hardware-accelerated computing. This session introduces you to Amazon EC2 F1 instances with FPGAs, walks you through a typical development and deployment process, and highlights a number of use cases in different domains, including genomics, video processing, text search, and financial computing.

The Netflix encoding team is responsible for transcoding different types of media sources to a large number of media formats to support all Netflix devices. Transcoding these media sources has compute needs ranging from running compute-intensive video encodes to low-latency, high-volume image and text processing. The encoding service may require hundreds of thousands of compute hours to be distributed at moment's notice where they are needed most. In this session, we explore the various strategies employed by the encoding service to automate management of a heterogenous collection of Amazon EC2 Reserved Instances, resolve compute contention, and distribute them based on priority and workload.