Aws Re:invent 2017

Unprecedented computational power for massively parallel applications creates unprecedented storage requirements. Learn about coherent storage clusters processing millions of IOPS at submillisecond latency, how to architect storage for HPC in the cloud, and how to do it all without breaking the bank. This session incorporates live demonstrations, including APN Competency Partner solutions.

Are you tired of maintaining and upgrading the PC infrastructure for your organization? Do you want to provide your users with a fast, fluid desktop that is accessible from anywhere, on any device? With Amazon WorkSpaces, you can do both simultaneously by running your desktops on AWS. In this session, we demonstrate the flexibility of Amazon WorkSpaces and show you how easy it is to get started. We also cover more advanced topics, including using Microsoft Active Directory for end-user management and authentication, and using Amazon WorkSpaces to implement a bring-your-own-device policy.

Identity is a foundational element of SaaS design, and getting it right can be challenging. You need a strategy that allows you to connect users to tenants, roles, and policies in a seamless model that doesn't handcuff developers. Fortunately, identity providers and OpenID Connect give us a model that equips SaaS providers with the tools they need to address all the moving parts of SaaS identity. In this session, we dive into the details of how you can use these solutions to build a robust identity solution—a solution that covers binding identities to tenants, supports tenant and system roles, and isolates tenant access. The goal here is to provide a concrete example of how to orchestrate all of these elements of the SaaS identity model on AWS.

You've successfully moved your desktops to AWS using Amazon WorkSpaces. Now, you'd like to start automating your operations. In this session, we show you how to use the Amazon WorkSpaces APIs to automate common tasks, such as provisioning and deprovisioning WorkSpaces, building self-service portals to allow your users to perform basic support tasks themselves, and integrating WorkSpace operations into your existing workflow and helpdesk tools.

In this session, we walk through the fundamentals of Amazon VPC. First, we cover build-out and design fundamentals for VPC, 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 midlevel architecture discussion is aimed at architects, network administrators, and technology decision-makers interested in understanding the building blocks that AWS makes available with VPC. Learn how you can connect your VPC with your offices and current data center footprint. This session adds a focus on AWS Partners and where they are relevant in AWS networking.

Amazon Connect is a cloud-based contact center service that allows you to create dynamic contact flows and personalized caller experiences by using their history and responses to anticipate their needs. Learn how with Amazon Lex, an AI service that allows you to create intelligent conversational “chatbots,” turning your contact flows into natural conversations using the same technology behind Amazon Alexa. Routine tasks such as password resets, order status, and balance inquiries can be automated without an agent. In this session, you will hear from Asurion about their Amazon Connect contact center environment and how they enhanced the customer and agent experience with Amazon Lex.

In this session, you'll learn how to leverage AWS Service Catalog, AWS Lambda, AWS Config and AWS CloudFormation to create a robust, agile environment while maintaining enterprise standards, controls and workflows. Fannie Mae demonstrates how they are leveraging this solution to integrate with their existing workflows and CMDB/ITSM systems to create an end-to-end automated and agile IT lifecycle and workflow.

Do you know that customers can seamlessly migrate on-premises applications to VMware Cloud on AWS? Come learn the compute, network, and storage architecture of the VMware Cloud on AWS solution. In this session, we use practical, real-world customer use cases to dive deep on hybrid cloud network connectivity, data protection, and security best practices. Additionally, we highlight how to use native AWS services with VMware Software-Defined Data Center (SDDC) workloads. Expect to walk away with practical guidance and tips on helping customers with their VMware and AWS hybrid cloud journey.

Amazon is a global company with over 300,000 employees worldwide. Easy and efficient communication is critical, so earlier this year, we made Amazon Chime available company-wide. Amazon Chime is a modern communications service that runs securely on AWS. It simplifies online meetings, video conferencing, and chats in one straightforward application. In this session, we provide an overview of Amazon Chime and follow with a discussion on how Amazon is rolling out this service.

You want to go to the cloud, but you are blocked by legacy technical debt. In this session, we guide you into the cloud using trusted application platforms like OpenShift and CloudFoundry. Come learn how to unblock your migration and unwind an otherwise complicated transformation.

The rate at which employees collaborate and create content continues to grow. With this, organizations are challenged to make collaboration easy, keep file management simple, and maintain a secure and compliant environment. Amazon WorkDocs is a fully managed, secure collaboration and file management service with rich feedback capabilities, strong administrative controls, and an extensible API. In this session, we demonstrate how you can use Amazon WorkDocs as a full-fledged collaboration tool for users and easily secure and manage files across your organization. 

This session explains how to build reusable, maintainable AWS CloudFormation–based automation for AWS Cloud deployments. We have built over 50 Quick Start reference deployments with partners and customers, and will share this expertise with you. We explore the anatomy of a typical AWS CloudFormation template, dive deep into best practices for building Quick Start automation across Linux and Windows and explore useful design patterns. This expert-level session is for partners interested in building Quick Starts or other AWS CloudFormation–based automation. It requires familiarity with Git, shell scripting, Windows PowerShell, and AWS services like Amazon EC2, Amazon S3 and AWS CloudFormation.  

Join us for an overview and demonstration of Amazon Connect, a self-service, cloud-based contact center based on the same technology used by Amazon customer service associates worldwide to power millions of conversations. The self-service graphical interface in Amazon Connect makes it easy to design contact flows for self and assisted call-handling experiences, manage agents, and track performance metrics – no specialized skills required. In this session, you will hear from Capital One and T-Mobile on how they are using Amazon Connect to provide their customers with dynamic, natural, and personalized experiences.  See how quickly you can get started with Amazon Connect and build your contact center. 

The threat model for IoT devices is very different from the threat model for cloud applications. Customers must understand what these threats are, prioritize them effectively, and navigate the growing ecosystem of partners that give customers tools to build secure IoT solutions. We showcase how to leverage partner solutions to mitigate threats, explain how to avoid common pitfalls, and make it clear that all IoT solutions must incorporate end-to-end security from the start. We begin with the steps to take in the manufacturing process, how to provision and authenticate devices in the field, and we cover solutions that can help customers comply with IT requirements in the maintenance phase of the product lifecycle.

Interested in learning how to integrate the Internet of Things into your advertising platform and combine it with AWS Greengrass, AWS Lambda, Amazon DynamoDB, and Amazon API Gateway to send context-aware advertisements to users at the point of buying? In this session, Mobiquity, the leader in digital engagements servicing the world's top brands, and their Innovation Partner Flomio discuss how they've been able to use AWS to create compelling digital experiences for their clients. We deep-dive on the technology behind Mobiquity's innovative shopping system that uses RFID, Bluetooth, captive Wifi, and a mobile app to provide real-time context for understanding how and where your customers interact with your products and services, allowing you to better tailor your ads to their particular preferences.

 Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models, at scale. This session will introduce you the features of Amazon SageMaker, including a one-click training environment, highly-optimized machine learning algorithms with built-in model tuning, and deployment without engineering effort.  With zero-setup required, Amazon SageMaker significantly decreases your training time and overall cost of building production machine learning systems.  You'll also hear how and why Intuit is using Amazon SaeMaker on AWS for real-time fraud detection. 

AWS Greengrass provides a wide range of opportunities from IoT gateway applications to building systems like those with microservice architectures. In this session, we first evaluate how AWS Greengrass fits into OEM, ODM, and IT service delivery models. We then wade into a gentle overview of AWS Greengrass and how it interoperates with AWS IoT and other AWS services. We walk through several key AWS Greengrass distributed architectures. Next, to help you accelerate your solution using AWS Greengrass, we discuss how AWS Greengrass fits into the AWS Cloud development and delivery model. The talk wraps up with a demonstration of AWS Greengrass facilitating communication between a closed machine to machine (M2M) network and AWS IoT.

From CloudFront to ElastiCache to DynamoDB Accelerator (DAX), this is your one-stop shop for learning how to apply caching methods to your AdTech workload: What data to cache and why? What are common side effects and pitfalls when caching? What is negative caching and how can it help you maximize your cache hit rate? How to use DynamoDB Accelerator in practice? How can you ensure that data always stays current in your cache? These and many more topics will be discussed in depth during this talk and we'll share lessons learned from Team Internet, the leading provider in domain monetization.

Desktop and Application Streaming solutions provide the "last mile” between users and their applications and data. In this session, we will review the elements and benefits of the layered desktop image, application dependencies, and lifecycle management of desktops. Liquidware Labs, a APN partner, will showcase their toolset that helps customers deploy on AWS with ease. This deep dive on desktop image management for Amazon WorkSpaces will focus on enterprise organizations migrating to the cloud and will benefit engineers and system administrators that are new to this space as well as experienced architects with existing deployments on AWS.

In this session, you'll learn how AdTech companies use AWS services like Glue, Athena, Quicksight, and EMR to analyze your Google DoubleClick Campaign Manager data at scale without the burden of infrastructure or worries about server maintenance.  We'll live-process a click stream so you can see how Machine Learning can help maximize your revenue by finding the most optimal path of a campaign and we'll look at a real world demo from A9's Advertising Science Team of how they use the data to build Look-alike Model in their projects.