Aws Re:invent 2017

When Amazon EC2 launched in 2006 there was a single instance size: m1.small. Over the past eleven years EC2 has evolved to provide an extensive selection of compute resources to customers including specialized resources such as NVMe SSDs, GPUs, and FPGAs. Under the hood, the servers used to host EC2 instances have transformed from off the shelf designs running virtualization software on the host CPUs to purpose built servers with AWS network and storage components implemented in hardware. Now we are happy to announce a new category of EC2 instances: Amazon EC2 Bare Metal Instances. These instances provide customers access to the physical compute resources of the host processors along with the security, scale, and services of EC2. This session will provide an overview of Bare Metal instances, how VMware used EC2 Bare Metal instances to build VMware Cloud on AWS, and other customer use cases for this new EC2 capability.

Many customers are hesitant to adopt SaaS solutions due to the concerns on the safety of the network connectivity traversing internet. It is also difficult to manage the firewall rules, NAT Gateway or VPN connections. AWS PrivateLink provided solution that let our customers' applications, whether in a VPC or in their own data center,  to connect to SaaS solutions in a highly scalable and highly available manner, while keeping all the network traffic within the AWS network.

This is a 400 level session that will discuss how customers can use Amazon FreeRTOS on microcontrollers with Greengrass at the edge. It will walk through connecting your devices running Amazon FreeRTOS, how to connect devices to Greengrass, and how these two services can work together to solve customer use cases.  We will also cover security and authorization across Amazon FreeRTOS and Greengrass.

AWS Batch is a fully managed service that enables developers to easily and efficiently run batch computing workloads of any scale on AWS. AWS Batch automatically provisions the right quantity and type of compute resources needed to run your jobs. With AWS Batch, you don't need to install or manage batch computing software, so you can focus on analyzing results and solving problems. In this session, the principal product manager for AWS Batch, Jamie Kinney, describes the core concepts behind AWS Batch and details of how the service functions. The presenter then demonstrates the latest features of AWS Batch with relevant use cases and sample code before describing some of the upcoming features for the service. Finally, hear from AWS Batch customers as they describe why and how they are using AWS Batch. This portion of the talk is delivered by representatives from the University of Utah, Autodesk, and AdRoll.

Do you have daily, weekly, or monthly tasks that you would like to automate? Looking to link two or more AWS Lambda functions in long-running processes? Are you building applications using microservices or containers? AWS Step Functions makes it easy to coordinate the components of distributed applications using visual workflows. In this session, we will share how AWS customers like Yelp are using Step Functions to reliably build and scale multi-step applications such as order processing, report generation, and data transformation. You will learn how to reduce the time to deploy and change microservices and serverless applications, and automate IT infrastructure for improved resilience and security.

In this session, Distinguished Engineer, James Gosling, discusses how AWS innovates in the Internet of Things. James shares stories and experiences in deploying IoT systems, and how AWS thinks of scalability in IoT. In addition, James shares his experiences in engineering Java embedded systems in IoT. 

Many customers are using Amazon EC2 instances to run applications with high performance networking requirements. In this session, we provide an overview of Amazon EC2 network performance features—such as enhanced networking, ENA, and placement groups—and discuss how we are innovating on behalf of our customers to improve networking performance in a scalable and cost-effective manner. We share best practices and performance tips for getting the best networking performance out of your Amazon EC2 instances.

This session provides an overview of IPv6 and covers key aspects of AWS support for the protocol. We discuss Amazon S3 and S3 Transfer Acceleration, Amazon CloudFront and AWS WAF, Amazon Route 53, AWS IoT, Elastic Load Balancing, and the virtual private cloud (VPC) environment of Amazon EC2. The presentation assumes solid knowledge of IPv4 and these AWS services.

Join us as we explore how SigOpt is using AWS to optimize machine learning and AI pipelines. SigOpt is an Optimization-as-a-Service platform that seamlessly tunes model configuration parameters through via an ensemble of optimization algorithms behind a simple API. This results in captured performance that may otherwise be left on the table by conventional techniques while also reducing the time and cost for developing and optimizing new models. In this session, you will learn how SigOpt has optimized ML and AI pipelines on Amazon EC2 instances for various algorithms (including the latest generation of GPU optimized instances), as well as how they internally leverage AWS to build their flexible and scalable platform and evaluation framework

Businesses are looking to transform their processes with IoT, but without business intelligence, customer context, and an accessible platform, it can be difficult to drive value from your IoT deployments. AWS IoT and Salesforce IoT enable you to securely connect a network of devices to your CRM and automate actions based on specific events, lowering operational overhead and increasing revenue. Contextualize device data with insight into who is interacting with your devices, how they're using your products, and more. Build business logic for any device state using clicks, not code. Session sponsored by Salesforce

Auto Scaling allows cloud resources to scale automatically in reaction to the dynamic needs of customers, which helps to improve application availability and reduce costs. New target tracking scaling policies for Auto Scaling make it easy to set up dynamic scaling for your application in just a few steps. With target tracking, you simply select a load metric for your application, set the target value, and Auto Scaling adjusts resources as needed to maintain that target. In this session, you will learn how you can use target tracking to setup sound scaling policies “without the fuss”, and improve availability under fluctuating demand. Netflix is spending $6 billion on original content this year, with shows like The Crown, Narcos, and Stranger Things, and plenty more in the future. Hear how they're using target tracking scaling policies to improve performance, reliability and availability around the world at prime times, without over-provisioning - and without guesswork. They will share some best practices exam

Security is an imperative for any successful IoT deployment. AWS and Intel will showcase their collaboration on IoT security at the edge based on Intel® Zero-Touch Device Onboarding. In this session you will learn how to ensure secure connection back from the edge to AWS cloud, accelerate deployment time for provisioning, and scale solution remotely for customization and management across thousands of devices and end points. Session sponsored by Intel

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.

In this session, we walk through the fundamentals of Amazon VPC. First, we cover build-out and design fundamentals for VPCs, including picking your IP space, subnetting, routing, security, NAT, and much more. We then transition into different approaches and use cases for optionally connecting your VPC to your physical data center with VPN or AWS Direct Connect. This mid-level architecture discussion is aimed at architects, network administrators, and technology decision-makers interested in understanding the building blocks that AWS makes available with Amazon VPC. Learn how you can connect VPCs with your offices and current data center footprint.

If you have a large fleet of IoT devices join us. We will introduce you to a new service called AWS IoT Device Management. It makes it easy for OEMs, enterprises and integrators to securely manage connected devices throughout their lifecycle: from initial setup through software updates, to retirement. We will show you how customers enroll and authenticate their devices in bulk, organize their fleets, manage permissions, remotely manage and update device software, and monitor the performance of their products. Customers already using the service will show how they have used IoT Device Management to create an IoT solution spanning multiple industries and use cases.

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.

This session covers best practices for using the AWS IoT rules engine when implementing routing, validation, or augmenting of messages that are sent through AWS IoT. In addition to best practices, AWS partners and customers discuss how the AWS IoT rules engine creates unique use cases to process and inspect data in real time. 

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.

In this session, we present AWS IoT and Amazon Machine Learning (Amazon ML) to demonstrate how you can use these services together to build smart applications. Customer SKF presents their use case around AWS IoT and Amazon ML in their wind turbines.

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.