Aws Re:invent 2017

VMware Cloud on AWS brings VMware's enterprise class Software-Defined Data Center software to the AWS Cloud, and enables customers to run production applications across vSphere-based private, public, and hybrid cloud environments. Delivered, sold, and supported by VMware as an on-demand service, customers can also leverage AWS services including storage, databases, analytics, and more. With the same architecture and operational experience on-premises and in the cloud, IT teams can now quickly derive value instant business value from use of the AWS and VMware hybrid cloud experience. Session sponsored by VMware

In this session, we detail Sysco's journey from a company focused on hindsight-based reporting to one focused on insights and foresight. For this shift, Sysco moved from multiple data warehouses to an AWS ecosystem, including Amazon Redshift, Amazon EMR, AWS Data Pipeline, and more. As the team at Sysco worked with Tableau, they gained agile insight across their business. Learn how Sysco decided to use AWS, how they scaled, and how they became more strategic with the AWS ecosystem and Tableau. Session sponsored by Tableau

In some organizations, the theme of “can't we all just get along” accurately describes the relationship between DevOps and network security. DevOps operates at a rapid and dynamic pace, using the cloud to create and deploy. Security teams exercise industry best practices of policy change control to eliminate potential security holes. Inevitably, deployment challenges arise. The ideal solution is one where security becomes part of the DevOps fabric. In this session, Ivan Bojer, automation specialist, and Jaime Franklin, cloud architect, both of Palo Alto Networks, discuss and demonstrate how AWS customers can automate the deployment of the VM-Series next generation firewall to protect DevOps environments on AWS. The topics in this session are based on current customer examples. They include: “touchless” deployment of a fully configured firewall utilizing automation tools, such as AWS CloudFormation templates, Terraform, and Ansible; consuming AWS tags to execute commitless policy updates; using Amazon CloudWat

VMWare Cloud on AWS allows your teams to migrate existing assets to the AWS Cloud quickly by using tools you are already familiar with. VMware Cloud on AWS brings VMware's enterprise class Software-Defined Data Center software to Amazon's public cloud, delivered as an on-demand, elastically scalable, cloud-based VMware sold, operated and supported service for any application and optimized for next-generation, elastic, bare metal AWS infrastructure. This solution enables customers to use a common set of software and tools to manage both their AWS-based and on-premises vSphere resources consistently. This session uses practical, real world customer deployment examples to dives deep on hybrid cloud network connectivity, data protection best practices, and AWS native service integrations. Attendees will walk away with practical guidance and tips on getting the best of both worlds with VMware and AWS hybrid cloud solution.

As the nation's only high-speed intercity passenger rail provider, Amtrak needs to know critical information to run their business such as: Who's onboard any train at any time? How are booking and revenue trending? Amtrak was faced with unpredictable and often slow response times from existing databases, ranging from seconds to hours; existing booking and revenue dashboards were spreadsheet-based and manual; multiple copies of data were stored in different repositories, lacking integration and consistency; and operations and maintenance (O&M) costs were relatively high. Join us as we demonstrate how Deloitte and Amtrak successfully went live with a cloud-native operational database and analytical datamart for near-real-time reporting in under six months. We highlight the specific challenges and the modernization of architecture on an AWS native Platform as a Service (PaaS) solution. The solution includes cloud-native components such as AWS Lambda for microservices, Amazon Kinesis and AWS Data Pipeline for mov

In this session, Reza Zadeh, CEO of Matroid, presents a Kubernetes deployment on Amazon Web Services that provides customized computer vision to a large number of users. Reza offers an overview of Matroid's pipeline and demonstrates how to customize computer vision neural network models in the browser, followed by building, training, and visualizing TensorFlow models, which are provided at scale to monitor video streams.

The cloud offers a first-in-a-career-opportunity to constantly optimize your costs as you grow and stay on the bleeding edge of innovation. By developing a cost-conscious culture and assigning the responsibility for efficiency to the appropriate business owners, you can deliver innovation efficiently and cost effectively. This session will review a wide range of cost planning, monitoring, and optimization strategies featuring real-world experience from AWS customers.

Historically, silos of data, analytics, and processes across functions, stages of development, and geography created a barrier to R&D efficiency. Gathering the right data necessary for decision-making was challenging due to issues of accessibility, trust, and timeliness. In this session, learn how Takeda is undergoing a transformation in R&D to increase the speed-to-market of high-impact therapies to improve patient lives. The Data and Analytics Hub was built, with Deloitte, to address these issues and support the efficient generation of data insights for functions such as clinical operations, clinical development, medical affairs, portfolio management, and R&D finance. In the AWS hosted data lake, this data is processed, integrated, and made available to business end users through data visualization interfaces, and to data scientists through direct connectivity. Learn how Takeda has achieved significant time reductions—from weeks to minutes—to gather and provision data that has the potential to reduce cycle

AWS offers customers multiple solutions for federating identities on the AWS Cloud. In this session, we will embark on a tour of these solutions and the use cases they support. Along the way, we will dive deep with demonstrations and best practices to help you be successful managing identies on the AWS Cloud. We will cover how and when to use Security Assertion Markup Language 2.0 (SAML), OpenID Connect (OIDC), and other AWS native federation mechanisms. You will learn how these solutions enable federated access to the AWS Management Console, APIs, and CLI, AWS Infrastructure and Managed Services, your web and mobile applications running on the AWS Cloud, and much more.

Artificial Intelligence is here this time, to stay. For the Enterprise, AI materializes into solutions that improve customers' experiences by optimizing, automating, and personalizing high-volume tasks while lowering cost and time to market, therefore accelerating innovation. In this session, we cover AWS' AI products and services that enable innovation in the enterprise while maintaining compliance with different regimes such as HIPAA, PCI, and more. Finally, we discuss enterprise architectures on AWS for machine learning and deep learning workloads.

In this session, learn how Cox Automotive is using Splunk Cloud for real time visibility into its AWS and hybrid environments to achieve near instantaneous MTTI, reduce auction incidents by 90%, and proactively predict outages. We also introduce a highly anticipated capability that allows you to ingest, transform, and analyze data in real time using Splunk and Amazon Kinesis Firehose to gain valuable insights from your cloud resources. It's now quicker and easier than ever to gain access to analytics-driven infrastructure monitoring using Splunk Enterprise & Splunk Cloud. Session sponsored by Splunk

Amazon MQ is a new managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud. Amazon MQ manages the work involved in setting up an ActiveMQ message broker, from provisioning the infrastructure, to installing the software and ongoing maintenance. It supports industry-standard messaging APIs and protocols, so you can switch from any message broker to Amazon MQ without re-writing the supported applications. This session provides an overview of how Amazon MQ makes enterprise messaging and migration more manageable. You'll learn how you can use Amazon MQ to launch a production-ready message broker in minutes. Guest speakers from Volvo WirelessCar and GE will share how they're using messaging in their own applications and systems, and the advantages enabled by a managed ActiveMQ service on AWS.

Just as a picture is worth a thousand words, a visual is worth a thousand data points.  A key aspect of our ability to gain insights from our data is to look for patterns, and these patterns are often not evident when we simply look at data in tables. The right visualization will help you gain a deeper understanding in a much quicker timeframe.  In this session, we will show you how to quickly and easily visualize your data using Amazon QuickSight.  We will show you how you can connect to data sources, generate custom metrics and calculations, create comprehensive business dashboards with various chart types, and setup filters and drill downs to slice and dice the data.

Learn how to set up an end-user directory, secure sign-up and sign-in, manage user profiles, authenticate and authorize your APIs, federate from enterprise and social identity providers, and use OAuth to integrate with your app—all without any server setup or code. With clear blueprints, we show you how to leverage Amazon Cognito to administer and secure your end users and enable identity for the applied patterns of mobile, web, and enterprise apps.

As a China-based global technology company that is helping some of the world's largest energy providers transition into renewable energy, Envision Energy is leading a digital disruption of the traditional energy system. In this session, Envision discusses how they used the AWS Cloud to create a technology infrastructure that connects and orchestrates millions of smart energy devices around the globe for their Energy IOT platform. They also review how AWS is used to host Envision's core systems, including SAP and Citrix.

Data speaks. Discover how Ivy Tech, the nation's largest singly accredited community college, uses AWS to gather, analyze, and take action on student behavioral data for the betterment of over 3,100 students. This session outlines the process from inception to implementation across the state of Indiana and highlights how Ivy Tech's model can be applied to your own complex business problems.

Developing deep learning applications just got even simpler and faster. In this session, you will learn how to program deep learning models using Gluon, the new intuitive, dynamic programming interface available for the Apache MXNet open-source framework. We'll also explore neural network architectures such as multi-layer perceptrons, convolutional neural networks (CNNs) and LSTMs.  

Compass Group, better known for its brands, Bon Appetit, Eurest, Canteen, Wolfgang Puck, among others, is one of the world's largest foodservice companies, serving millions of people daily and employing over 500,000 associates across all continents. Compass Group relies on SAP to run their business, from supply chain and financials to payroll. Compass Group started deploying their SAP Landscape on AWS a few years ago, first in India and LATAM, where they deployed SAP Business Suite on HANA. Subsequently, they moved their Japan SAP Landscape on Microsoft SQL to AWS. Last year, they migrated both their EMEA SAP Business Suite on Oracle as well as their UK SAP Business Suite on DB2 to AWS. In this session, Compass shares the details this journey, the benefits they gained running SAP on AWS, and the lessons they learned. They also discuss how they integrated their different SAP Landscapes with other legacy systems, how they architected for resiliency, and what's next in their journey.

To win in the marketplace and provide differentiated customer experiences, businesses need to be able to use live data in real time to facilitate fast decision making. In this session, you learn common streaming data processing use cases and architectures. First, we give an overview of streaming data and AWS streaming data capabilities. Next, we look at a few customer examples and their real-time streaming applications. Finally, we walk through common architectures and design patterns of top streaming data use cases.

Whether it is per business unit or per application, many AWS customers use multiple accounts to meet their infrastructure isolation, separation of duties, and billing requirements. In this session, we discuss considerations, limitations, and security patterns when building out a multi-account strategy. We explore topics such as identity federation, cross-account roles, consolidated logging, and account governance. Thomson Reuters shared their journey and their approach to a multi-account strategy. At the end of the session, we present an enterprise-ready, multi-account architecture that you can start leveraging today. We encourage you attend the full multi-account track: SID331: Architecting Security and Governance Across a Multi-Account Strategy (Session) SID335: Implementing Security and Governance Across a Multi-Account Strategy (Chalk Talk) ENT324: Automating and Auditing Cloud Governance and Compliance in Multi-Account Environments (Session) SID311: Designing Security and Governance Across a Multi-Accou