AWS re:Invent 2017

In a rapid enterprise application development environment, messaging middleware is critical for integration of heterogeneous platforms and scalability. To deploy a highly available messaging solution, a highly durable shared file system that easily scales as needed is essential. Amazon EFS offers a shared file system in the cloud at less than half the cost of a self-managed cloud solution with third-party software. Come to this session to hear how you can use TIBCO Enterprise Message Service (EMS) or IBM MQ with Amazon EFS to deploy enterprise messaging middleware that is reliable, scalable, and fault tolerant, in as little as 30 minutes. We describe best practices and share tips for success throughout.

ProtectWise shifts network security to the cloud to provide complete visibility and detection of enterprise threats and incident response. Built entirely on AWS, the ProtectWise grid has the unique ability to create an unlimited retention window with full-fidelity forensics, automated retrospection, and advanced visualization. To enable customers to store petabytes of networking data and analyze it in seconds, they use Apache Solr and Apache Cassandra to analyze encrypted raw packet data and metadata about network packets—billions of items per day. Maintaining an architecture to handle a large volume of data requires an innovative architecture at a cost-effective standpoint. In this session, you learn how ProjectWise has optimized their solution on AWS using hot, warm, and cold shards across EC2 instance store, Amazon Elastic Block Store (Amazon EBS), and Amazon S3 for cost and scalability.

Experian gathers, analyzes, and processes credit data at massive scale to help businesses make smarter decisions, individuals gain access to financial services, and lenders to minimize risk. The company built its petabyte-scale data-ingestion and analytics solution using CDH (Cloudera Distribution Including Apache Hadoop) running on Amazon EC2, with data stored in Amazon EBS and Amazon S3. This next generation big data platform aims to improve the data accuracy by moving away from traditional batch uploads to a real-time API-based ingestion process. In this talk, you will learn how Experian has leveraged different AWS compute and storage services for agility and quicker time to market. We will discuss lessons learned and best practices for success throughout.

This is your chance to learn directly from top CTOs and Cloud Architects from some of the most innovative AWS customers. In this lightning round session, we'll have an action-packed hour, jumping straight to the architecture and technical detail for some of the most innovative data storage solutions of 2017. Hear how Insitu collects and analyzes data from drone flights in the field with AWS Snowball Edge. See how iRobot collects and analyzes IoT data from their robotic vacuums, mops, and pool cleaners. Learn how Viber maintains a petabyte-scale data lake on Amazon S3. Understand how Alert Logic scales their massive SaaS cloud security solution on Amazon S3 & Amazon Glacier.

Headquartered in the UK, Vodafone provides services in 26 additional markets via Operating Companies (OpCos). The Vodafone Digital TV team's journey on AWS began with the goal of enabling these OpCos to ramp up their TV deployment within 24 hours. This session covers two phases of Vodafone's journey to bring agility, cost, and operational efficiencies to their Pay TV offering. We dive into technical details, architecture, and lessons learned from Vodafone's lift-and-shift hybrid approach in the first phase, which resulted in significantly reduced deployment time and cost while adding flexibility. Learn technology patterns and best practices that Vodafone and its partners have adopted to begin the second phase of optimization, constructing a cloud-centric architecture that uses microservices, Amazon S3, AWS Lambda, Amazon EC2, Elastic Load Balancing, and Amazon CloudFront to support the Vodafone TV product.

Over 40 years, Aspect Software has grown into a multinational leader for contact center solutions, recently launching Aspect Via, a comprehensive cloud-based customer engagement platform. In this session, learn how Aspect used AWS Lambda, Amazon API Gateway, Application Load Balancer, development tooling from Swagger, and microservices to build a secure, scalable, and maintainable API framework that can be integrated into multiple channels of customer interaction. We focus on best practices for transforming on-premises-based applications and moving latency-sensitive services supporting telephony applications to an API-based platform in the cloud.

Customers like Twilio, AudioCodes, and Vonage power their voice, video and messaging services using AWS's global infrastructure. In this session, we walk through the core AWS features and partner products that enable carrier-grade Voice-over-IP (VoIP), WebRTC, and IP Multimedia Subsystems (IMS) solutions. You'll walk away with best practices and lessons learned from our customers' experience. We address the requirements for low latency, high availability, and scalability, critical to communication workloads. To do so, we use a combination of advanced Amazon EC2 networking, Auto Scaling, CloudWatch, Elastic Load Balancing, Route 53, Direct Connect, and AWS Marketplace–provided options.

In June 2017, AWS announced the general availability of the Greengrass service bringing local compute, messaging, data caching and synch capabilities to network edge devices. In this session, you will learn how AWS IOT, Greengrass and Lambda@Edge are integrated into Nokia's Multi-Access Edge Compute (MEC) solution, enabling a platform that provides a programming model at the edge as well as specialized access necessary for the roll-out of advanced 4G and 5G use cases. We will dive into the architecture of this MEC implementation that is tailored to aggregate traffic from multiple macro-cellular and small-cell stations in LTE and 5G networks. You will learn to take advantage of the containerized programming environment on the MEC platform, while also connecting with the eco-system of AWS services.

Join this State of the Union to learn about the latest developments from Amazon for enterprise workloads such as Windows, VMware, and SAP. Sandy Carter, AWS vice president for Enterprise Workloads, discusses the evolution of AWS services for enterprise workloads and the new features and services that we are launching for Windows and VMware. She shares the company's vision for continuing to innovate in this space to make AWS the premier place for enterprise customers. Also, several major customers discuss their own experience running enterprise workloads on AWS as well as pursuing new solutions in areas like AI and IoT.

DraftKings is the largest Daily Fantasy Sports platform on which millions of users compete in 11 different fantasy sports for a chance to win real money. The traffic on the DraftKings website and native apps is highly volatile and directly correlates with the interest in sporting events, with scoring events in those games frequently driving a five-fold spike in traffic on a minute-to-minute basis. In this session, you learn how DraftKings runs a highly elastic server farm and scales its Windows-based infrastructure using a combination of AWS Lambda, Amazon CloudWatch, Auto Scaling groups, and predictive analysis techniques.