Aws Re:invent 2017

Leading Edge Forums (LEF) has labelled the synergistic combination of cloud computing and machine intelligence (MI) as ‘the Matrix': the combination of cloud services such as IaaS, IoT, MI, and edge computing. For companies to thrive, they need to know the answers to the following questions: How are successful companies harnessing the power of the Matrix? How do they structure their organizations? What makes them so agile? How do they attract and retain skilled employees? LEF studies successful businesses and learns what makes them great. Our 6-month research program has dived deep with multiple AWS customers to understand not only their use of the technology, but also the business transformation program that allowed them to maximize the value that AWS provides. Attend this session to learn more about the research that has been done, client examples, observations that the LEF has made and how this can be used to help drive your transformation program. Session sponsored by DXC Technology

Serverless technologies let you build and scale applications and services rapidly without the need to provision or manage servers. In this session, we show you how to incorporate serverless concepts into your big data architectures. We explore the concepts behind and benefits of serverless architectures for big data, looking at design patterns to ingest, store, process, and visualize your data. Along the way, we explain when and how you can use serverless technologies to streamline data processing, minimize infrastructure management, and improve agility and robustness and share a reference architecture using a combination of cloud and open source technologies to solve your big data problems. Topics include: use cases and best practices for serverless big data applications; leveraging AWS technologies such as Amazon DynamoDB, Amazon S3, Amazon Kinesis, AWS Lambda, Amazon Athena, and Amazon EMR; and serverless ETL, event processing, ad hoc analysis, and real-time analytics.

C.H. Robinson, Intuit, and Scopely hold a fireside chat with Redis Labs' CMO to discuss the challenges of deploying large-scale applications that need to support personalized user experiences based on real-time insights. The architects from these companies share how Redis Enterprise operates as the primary datastore and tackles the issues of maintaining consistency in geo-distributed deployments, ingests massive amounts of data while executing hybrid transactions-analytics functions, and balances workloads between RAM and SSDs while performing hundreds of thousands of operations per second with sub-millisecond latency. In this business-technical session, you learn about diverse use cases and capabilities of Redis, a highly popular in-memory NoSQL database, including job and queue management, machine learning, streaming, search, geo-spatial indexing, fast data ingest, and high speed transactions. Session sponsored by Redis Labs

In this session, we simplify big data processing as a data bus comprising various stages: collect, store, process, analyze, and visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architectures, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.

AWS Key Management Service (KMS) is a managed service that makes it easy for you to create and manage the encryption keys used to encrypt your data. In this session, we will dive deep into best practices learned by implementing AWS KMS at AWS' largest enterprise clients. We will review the different capabilities described in the AWS Cloud Adoption Framework (CAF) Security Perspective and how to implement these recommendations using AWS KMS. In addition to sharing recommendations, we will also provide examples that will help you protect sensitive information on the AWS Cloud.

Many organizations are awash in different types of data, yet they struggle to rapidly use these assets to improve operations and benefit customers. In this session, we explore best practices from deployments at leading global organizations that have unlocked value with C3 IoT and AWS. We also address how the C3 IoT platform has pre-integrated over 40 AWS services, enabling developers and data scientists to build and deploy enterprise scale big data, AI, and IoT applications in one-tenth of the time and cost.   Session sponsored by C3 IoT, Inc.

Watch Peter DeSantis, VP, AWS Global Infrastructure, in the Tuesday Night Live keynote, featuring Brian Mathews, of Autodesk, and Greg Peters, of Netflix.

In this session, you will learn best practices for implementing simple to advanced AI/ML use cases on AWS. First. we will review the decision points for using democratised services such as Amazon Lex, Amazon Polly and integration with services such as Amazon Connect. Then we will look at real use cases, optimising the customer experience with chatbots, streamlining the customer experience predicting responses with Amazon Connect. Finally, we will dive deep into the most common of these patterns and cover design and implementation considerations. By the end of the session you will understand how to use Amazon Lex to optimise the user experience, through different user interactions.

Hess Corporation is a leading global independent energy company engaged in exploration for and production of crude oil and natural gas. Early in Hess's journey to the cloud, they operated the AWS platform in a manner similar to how they operated their on-premises data centers, creating a number of challenges. In this session, Hess Corporation discusses how they worked to further optimize their use of the AWS Cloud following their data center migration. They also cover technical strategies implemented to improve security, governance, and financial reporting and examine changes to their corporate culture that encourage innovation while improving cost controls.

Watch Werner Vogels deliver his AWS re:Invent 2017 keynote, featuring the launch of Alexa for Business, AWS Cloud9, new AWS Lambda features, and Serverless App Repository.

AWS Encryption Services provide an easy and cost-effective way to protect your data in AWS. In this session, you learn about leveraging the latest encryption management features to minimize risk for your data.

In this session, Encirca Services by DuPont Pioneer discusses how they performed a lift-and-shift migration from their on-premises data center to AWS in less than six months. First, they cover how they aligned organizational stakeholders to prepare for the migration. Then, they discuss strategies used to increase the pace of their mass migration. Finally, they talk about actions taken after the migration to measure success and solicit feedback from customers.

Andy Jassy, CEO of Amazon Web Services, delivers his AWS re:Invent 2017 keynote, featuring the latest news and announcements, including the launches of Amazon Elastic Containers for Kubernetes (EKS), AWS Fargate, Aurora Multi-Master, Aurora Serverless, DynamoDB Global Tables, Amazon Neptune, S3 Select, Amazon Sagemaker, AWS DeepLens, Amazon Rekognition Video, Amazon Kinesis Video Streams, Amazon Transcribe, Amazon Translate, Amazon Comprehend, AWS IoT 1-Click, AWS IoT Device Management, AWS IoT Device Defender, AWS IoT Analytics, Amazon FreeRTOS, and Greengrass ML Inference. Guest speakers include Dr. Matt Wood, of AWS; Roy Joseph, of Goldman Sachs; Mark Okerstrom, of Expedia; and Michelle McKenna-Doyle, of the NFL.

We've partnered with hundreds of customers on their large-scale migrations to AWS. This session outlines some of the common challenges that our customers face and how they've overcome these challenges. The session also describes the patterns we've observed that make legacy migrations successful, and the mechanisms we've created to help customers migrate faster.

Macquarie, a global provider of financial services, identified early on that it would require strong partnership between its business, technology and risk teams to enable the rapid adoption of AWS cloud technologies. As a result, Macquarie built a Cloud Governance Platform to enable its risk functions to move as quickly as its development teams. This platform has been the backbone of Macquarie's adoption of AWS over the past two years and has enabled Macquarie to accelerate its use of cloud technologies for the benefit of clients across multiple global markets. This talk will outline the strategy that Macquarie embarked on, describe the platform they built, and provide examples for other organizations who are on a similar journey.

Migrating to the cloud provides an opportunity to reinvent your organization's operations and the management of your IT landscape. In this session, we discuss how to evaluate your organizational readiness for the cloud and how to develop foundational capabilities before the migration. We also review key considerations developed by AWS Professional Services to help organizations prepare for a migration at scale through the Migration Readiness Assessment (MRA) and Migration Readiness and Planning (MRP) programs.

Amazon Lex is a service for building conversational interfaces into any application using voice and text, and Amazon Polly is a service that turns text into lifelike speech. This session combines both of these AWS services during which the presenter will demonstrate how to build a Help Desk chatbot that feature spoken-voice interfaces. Attendees will be provided with the foundational skills for those looking to enrich their applications with natural, conversational interfaces.  Liberty Mutual Insurance will also present on their chat platform architecture to demonstrated how they areusing Amazon Lex in their organization as an employee digital assistant.

For many organizations, a perceived lack of cloud skills in their staff can limit their move to the cloud. Proper training of your engineers and developers can speed the pace of adoption, cloud migration, and delivery of business benefits by effectively operating the AWS Cloud. In this session, we discuss field-proven, prescriptive steps for reskilling and scaling your technical teams so that you can use the AWS Cloud securely, efficiently, and effectively.

In less than 12 months, Zocdoc became a cloud-first organization, diversifying their tech stack and liberating data to help drive rapid product innovation. Brian Lozada, CISO at Zocdoc, and Zhen Wang, Director of Engineering, provide an overview on how their teams recognized that infrastructure as code was the most effective approach for their security policies to scale across their AWS infrastructure. They leveraged tools such as AWS CloudFormation, hardened AMIs, and hardened containers. The use of DevSecOps within Zocdoc has enhanced data protection with the use of AWS services such as AWS KMS and AWS CloudHSM and auditing capabilities, and event-based policy enforcement with Amazon Elasticsearch Service and Amazon CloudWatch, all built on top of AWS.

Docker makes it easy to package and launch code onto a virtual machine. But once you scale your container across multiple machines, or even multiple AWS Regions, how do you efficiently manage container traffic, resource utilization, security, and code changes? In this session, we feature best practices and real-world examples of customers who deployed containerized apps at scale. We include strategies for maximizing cost efficiency across various traffic patterns and implementing a granular access control mechanism for your container infrastructure.