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Keynote

Keynote with Andy Jassy Andy Jassy, CEO of Amazon Web Services, delivers his AWS re:Invent 2018 keynote, featuring the latest AWS news and announcements. Learn more about AWS at - https://amzn.to/2RiLQte. Topics: 00:01:10 AWS business update 00:05:00 Cloud market share 00:22:00 Glacier Deep Archive 00:25:45 Amazon FSx 00:32:30 Dean Del Vecchio, Guardian - CIO 00:43:45 AWS Control Tower 00:47:00 AWS Security Hub 00:49:20 AWS Lake Formation 01:05:00 DynamoDB Read/Write Capacity On Demand 01:09:00 Amazon Timestream 01:16:20 Amazon Quantum Ledger Database 01:17:40 Amazon Managed Blockchain 01:30:00 Amazon Elastic Inference 01:34:00 AWS Inferentia 01:39:00 Ross Brawn Obe, Formula 1 - Managing Director 01:51:30 Amazon SageMaker Ground Truth 02:00:10 Amazon SageMaker RL 02:02:10 AWS DeepRacer 02:08:00 Dr Matt Wood, AWS - GM Deep Learning and AI 02:14:55 Amazon Textrack 02:18:30 Amazon Personalize 02:22:55 Amazon Forecast 02:28:30 Pat Gelsinger, VMware - CEO 02:33:50 AWS Outposts 2:44:36

Keynote with Werner Vogels Watch Werner Vogels deliver his AWS re:Invent 2018 keynote. Learn more about AWS at https://amzn.to/2FKc7zk. This year's keynote includes featured guests, Yuri Misnik, Executive General Manager, National Australia Bank (NAB), Ethan Kaplan, Chief Product Officer, Fender Musical Instruments, Mai Lan Tomsen Bukovec, AWS VP & General Manager of S3, and Holly Mesrobian, Director of Engineering, AWS Lambda. In the keynote, hear about new AWS launch announcements and get a preview of Werner's new video series, "Now Go Build" - https://youtu.be/a42kxHSX4Xw. Keynote speakers: 00:00:00 Dr Werner Vogels, Amazon CTO 00:32:30 Mai Lan Tomsen Bukovec, AWS VP & General Manager of S3 00:50:30 Ethan Kaplan, Chief Product Officer, Fender Musical Instruments 01:02:50 Holly Mesrobian, Director of Engineering, AWS Lambda. 01:33:10 Yuri Misnik, Executive General Manager, National Australia Bank (NAB) New AWS launch announcements: 01:15:20 AWS Tool Kits for popular IDEs 01:17:00 Custom Runtimes for Lambda 01:18:50 Lambda Layers 01:20:40 Nested Applications using Serverless Application Repository 01:23:10 Step Functions service integrations 01:24:25 WebSocket support for API Gateway 01:47:15 AWS Well - Architected Tool 01:53:40

Monday Night Live with Peter DeSantis Watch Peter DeSantis, VP, AWS Global Infrastructure and Customer Support, delivers the Monday Night Live keynote, featuring Chris Dyl, of Epic Games and Keith Bigelow, of GE Healthcare. Learn more at - https://amzn.to/2DJJHmz. 01:31:25

Global Partner Keynote Watch the Global Partner Keynote featuring Terry Wise, Vice President of Global Alliances and Channels, AWS. Learn more about re:Invent 2018 at - https://amzn.to/2BCsNF6. Featured Guests: - Pebbles Sy-Manalang, CIO, Globe Telecom - Ramin Sayar, President & CEO, Sumo Logic - Brad Jackson, CEO, Slalom - Bernd Heinemann, Board Member, Allianz Germany 01:59:06

AdTech

ADT201: Digital Advertising - Customer Learning & the Road Ahead In this session, learn how experienced leaders in digital advertising respond to the rapid evolution and sophistication of the advertising market driven by innovation and groundbreaking technology. Our customers share real-world applications they've leveraged in the cloud and how they see the media landscape changing as adoption of AI in the space becomes more widespread. Learn about existing and upcoming advancements and how they affect digital transformation in the years to come. Come away with ideas on how you can apply these learnings to your technology stack. 01:00:59

ADT202: Use Amazon Rekognition to Power Video Creative Asset Production In this session, hear from an AWS customer about how they leveraged Amazon Rekognition deep learning-based image and video analysis to power a data-driven decision system for creative asset production. Learn how this customer was able to leverage the raw data provided by Amazon Rekognition combined with performance data to discover actionable insights. See a demonstration of the solution, and hear about media- and advertising-specific use cases. Learn from the customer's experiences implementing their architecture, the challenges, and the pleasant surprises along the way. 00:35:19

Artificial Intelligence & Machine Learning

AIM202: Leadership Session: Machine Learning Amazon has a long history in AI, from personalization and recommendation engines to robotics in fulfillment centers. Amazon Go, Amazon Alexa, and Amazon Prime Air are also examples. In this session, learn more about the latest machine learning services from AWS, and hear from customers who are partnering with AWS for innovative AI. 00:58:01

AIM203: Patient-Focused Data Science: Machine Learning for Complex Diseases Curious about how Amazon machine learning (ML) services can enable healthcare organizations to find the insights they need to survive and thrive? Join us to learn how Takeda researchers built and trained their own disease-specific ML models, including deep-learning models using Deloitte ConvergeHEALTH running on AWS to simulate and quantify the overall disease burden and identify potential risks. This session is brought to you by AWS partner, Deloitte Consulting LLP. 00:59:53

AIM204: Smarter Event-Driven Edge with Amazon SageMaker & Project Flogo A single device can produce thousands of events every second. In traditional implementations, all data is transmitted back to a server or gateway for scoring by a machine learning (ML) model. This data is also stored in a data repository for later use by data scientists. In this session, we explore data science techniques for dealing with time series data leveraging Amazon SageMaker. We also look at modeling applications using deterministic rules with streaming pipelines for data prep, and model inferencing using deep learning frameworks directly onto edge devices or onto AWS Lambda using Project Flogo, an open-source event-driven framework. This session is brought to you by AWS partner, TIBCO Software Inc. 01:00:30

AIM207: Faster, Better, Cheaper: AI Apps in One-Tenth the Time and Cost In this session, learn how the C3 Platform on AWS is architected and why it accelerates the development of enterprise-scale AI applications. Hear how customers like the US Air Force, Enel, and global manufacturing leaders are using C3 on AWS to rapidly aggregate, unify, federate, and normalize data from sensor networks and enterprise IT systems, and apply ML/AI algorithms against this data to unlock significant economic value. Hear from global organizations that are solving complex business challenges, from optimizing the supply network, to predicting which assets will fail, to identifying fraud and money laundering. This session is brought to you by AWS partner, C3. 00:50:26

AIM208: Accelerating Enterprise-Scale AI Application Development In this session, learn how the C3 Platform on AWS is architected to accelerate the development of modern AI applications. Hear how customers and partners have used the C3 Type System's data-object centric abstraction layer to realize 10-100x productivity gains when building complex AI/ML applications. In addition, hear how global organizations are using C3 on AWS to solve complex business challenges, from optimizing the supply network, to predicting asset failure, to identifying fraud and money laundering. This presentation is brought to you by AWS partner, C3. 00:53:47

AIM301: Deep Learning for Developers: Introduction, Featuring Samsung SDS Artificial intelligence (AI) is rapidly evolving, and much of the advancement is driven by deep learning, a machine learning technique inspired by the inner workings of the human brain. In this session, learn what deep learning is and how you can use it in your applications to unlock new and exciting capabilities for your customers and business. Also hear from Samsung SDS about how it developed a deep-learning model for cardiac arrhythmia detection using Apache MXNet, an open-source deep-learning framework. By the end of the session, you will understand how to leverage deep learning in your applications and get started with it. 00:52:00

AIM302: Machine Learning at the Edge Video-based tools have enabled advancements in computer vision, such as in-vehicle use cases for AI. However, it is not always possible to send this data to the cloud to be processed. In this session, learn how to train machine learning models using Amazon SageMaker and deploy them to an edge device using AWS Greengrass, enabling you process data quickly at the edge, even when there is no connectivity. 00:48:57

AIM303: Smart & Interactive Apps w/ Intelligent Language Services on AWS Amazon brings natural language processing, automatic speech recognition, text-to-speech services, and neural machine translation technologies within the reach of every developers. In this session, learn how to add intelligence to any application with machine learning services that provide language and chatbot functions. See how others are defining and building the next generation of apps that can hear, speak, understand, and interact with the world around us. Complete Title: AWS re:Invent 2018: [REPEAT 2] Create Smart & Interactive Apps with Intelligent Language Services on AWS (AIM303-R2) 00:43:16

AIM304: Transform the Modern Contact Center Using Machine Learning & Analytics Analyzing customer service interactions across channels provides a complete 360-degree view of customers. By capturing all interactions, you can better identify the root cause of issues and improve first-call resolution and customer satisfaction. In this session, learn how to integrate Amazon Connect and AWS machine learning services, such Amazon Lex, Amazon Transcribe, and Amazon Comprehend, to quickly process and analyze thousands of customer conversations and gain valuable insights. With speech and text analytics, you can pick up on emerging service-related trends before they get escalated or identify and address a potential widespread problem at its inception. 00:57:21

AIM307: Deep Dive on Amazon Rekognition, ft. Tinder & News UK Join us for a deep dive on the latest features of Amazon Rekognition. Learn how to easily add intelligent image and video analysis to applications in order to automate manual workflows, enhance creativity, and provide more personalized customer experiences. We share best practices for fine-tuning and optimizing Amazon Rekognition for a variety of use cases, including moderating content, creating searchable content libraries, and integrating secondary authentication into existing applications. 00:36:07

AIM344: NEW LAUNCH! Introducing Amazon Forecast Based on the same technology used at Amazon.com, Amazon Forecast uses machine learning to combine time series data with additional variables to build forecasts. Amazon Forecast requires no machine learning experience to get started. You only need to provide historical data, plus any additional data that you believe may impact your forecasts. Come learn more. 00:49:37

AIM351: Harness the Power of Crowdsourcing with Amazon Mechanical Turk Amazon Mechanical Turk operates a marketplace for crowdsourcing, and developers can build human intelligence directly into their applications through a simple API. With access to a diverse, on-demand workforce, companies can leverage the power of the crowd for a range of tasks, from ML training and automating manual tasks to generating human insights. In this session, we cover key concepts for Mechanical Turk, and we share best practices for how to integrate and scale your crowdsourced application. By the end of this session, expect to have a general understanding of Mechanical Turk and know how to get started harnessing the power of the crowd. 00:55:03

AIM352: Business Process Automation Using Crowdsourcing While technology continues to improve, there are still many things that human beings can do much more effectively than computers, such as performing data deduplication or content moderation. Traditionally, such tasks have been accomplished by hiring a large temporary workforce-which is time consuming, expensive, and difficult to scale-or have gone undone. However, businesses or developers can use Amazon Mechanical Turk (Mechanical Turk) to access thousands of on-demand workers-and then integrate the results of that work directly into their business processes and systems. In this session, learn how enterprises are using Mechanical Turk to scale and automate their human-powered workflow. 01:01:54

AIM363: NEW LAUNCH! Introducing Amazon Hieroglyph: Now in Preview Amazon Textract enables you to easily extract text and data from virtually any document. Today, companies process millions of documents by manually entering the data or using customized optical character recognition solutions, which are prone to error and consume valuable resources. Join us to learn how Amazon Textract uses machine learning to simplify document processing by enabling fast and accurate text and data extraction so you can process millions of documents in hours. 00:54:36

AIM366: NEW LAUNCH! Amazon Elastic Inference: Reduce Learning Inference Cost Deploying deep learning applications at scale can be cost prohibitive due to the need for hardware acceleration to meet latency and throughput requirements of inference. Amazon Elastic Inference helps you tackle this problem by reducing the cost of inference by up to 75% with GPU-powered acceleration that can be right-sized to your application's inference needs. In this session, learn about how to deploy TensorFlow, Apache MXNet, and ONNX models with Amazon Elastic Inference on Amazon EC2 and Amazon SageMaker. Hear from Autodesk on the positive impact of AI on tools used to design and make a better world. Learn about how Autodesk and the Autodesk AI Lab are using Amazon Elastic Inference to make it cost efficient to run these tools at scale. 00:50:47

AIM367: NEW LAUNCH! Introducing AWS DeepRacer Developers start your engines! This breakout session will provide an introduction to the newly launched AWS DeepRacer. Learn about the basics of reinforcement learning, what's under the hood and your opportunities to experience AWS DeepRacer for yourself. 00:51:57

AIM369: NEW LAUNCH! Amazon SageMaker Ground Truth: Quality & Accurate Datasets Successful machine learning models are built on high-quality training datasets. Labeling raw data to get accurate training datasets involves a lot of time and effort because sophisticated models can require thousands of labeled examples to learn from, before they can produce good results. Typically, the task of labeling is distributed across a large number of humans, adding significant overhead and cost. Join us as we introduce Amazon SageMaker Ground Truth, a new service that provides an effective solution to reduce this cost and complexity using a machine learning technique called active learning. Active learning reduces the time and manual effort required to do data labeling, by continuously training machine learning algorithms based on labels from humans. By iterating through ambiguous data points, Ground Truth improves the ability to automatically label data resulting in high-quality training datasets. 00:59:15

AIM371: NEW LAUNCH! Machine Learning w/ Amazon SageMaker & AWS Marketplace Until now, many customers spent time creating or searching for the right algorithm and model when using Amazon SageMaker. In this session you'll learn how to build machine learning applications even faster by finding curated algorithms and model packages in AWS Marketplace and deploying them directly on Amazon SageMaker. 00:59:36

AIM386: Accelerate AI/ML Adoption with Intel Processors and C3IoT on AWS Today, organizations deploy more AI/ML workloads on AWS than on any other cloud platform. The cloud has removed many of the challenges associated with scalability, and it's never been easier or more cost effective to build custom and intelligent data models. In this session, learn how the C3 Platform leverages the full power of Intel Xeon Scalable processors on AWS to rapidly train, deploy, and operationalize AI/ML and big data applications like C3 Inventory Optimization and C3 Predictive Maintenance. In addition, a customer shares how these solutions helped achieve demonstrable value. This session is brought to you by AWS partner, Intel. 00:39:46

AIM390: Machine Learning Your Eight-Year-Old Would Be Proud Of Come see examples of how Bebo uses Amazon SageMaker to power massive Fortnite tournaments every week. Traditional sports require referees, scorekeepers, field staff, and broadcast crews for every match. But esports are digital by nature. In this session, learn how machine learning and computer vision are enabling esports to occur at a massive scale. Learn how Bebo developed a model that can detect every victory and elimination, and can even prevent cheating on their tournament platform. 00:46:36

AIM396: ML Best Practices: Prepare Data, Build Models, and Manage Lifecycle In this session, we cover best practices for enterprises that want to use powerful open-source technologies to simplify and scale their machine learning (ML) efforts. Learn how to use Apache Spark, the data processing and analytics engine commonly used at enterprises today, for data preparation as it unifies data at massive scale across various sources. We train models using TensorFlow, and we use MLflow to track experiment runs between multiple users within a reproducible environment. We then manage the deployment of models to production. We show you how MLflow can be used with any existing ML library and incrementally incorporated into an existing ML development process. This session is brought to you by AWS partner, Databricks. 00:49:05

AIM401: Learning Applications Using TensorFlow, Advanced Microgrid Solutions The TensorFlow deep learning framework is used for developing diverse artificial intelligence (AI) applications, including computer vision, natural language, speech, and translation. In this session, learn how to use TensorFlow within the Amazon SageMaker machine learning platform. Then, hear from Advanced Microgrid Solutions about how they implemented a deep neural network architecture with Keras and TensorFlow to forecast energy prices in near real time. Complete Title: AWS re:Invent 2018: [REPEAT 2] Deep Learning Applications Using TensorFlow, ft. Advanced Microgrid Solutions (AIM401-R2) 00:51:34

AIM402: Deep Learning Applications Using PyTorch, Featuring Facebook With support for PyTorch 1.0 on Amazon SageMaker, you now have a flexible deep learning framework combined with a fully managed machine learning platform to transition seamlessly from research prototyping to production deployment. In this session, learn how to develop with PyTorch 1.0 within Amazon SageMaker using a novel generative adversarial network (GAN) tutorial. Then, hear from Facebook on how you can use the FAIRSeq modeling toolkit, which serves 6B translations daily for Facebook users, to train your own custom PyTorch models on Amazon SageMaker. Facebook also discusses the evolution of PyTorch 1.0 and features introduced to accelerate research and deployment. Complete Title: AWS re:Invent 2018: [REPEAT 1] Deep Learning Applications Using PyTorch, Featuring Facebook (AIM402-R1) 01:08:55

AIM403: Integrate Amazon SageMaker with Apache Spark, ft. Moody's Amazon SageMaker, our fully managed machine learning platform, comes with pre-built algorithms and popular deep learning frameworks. Amazon SageMaker also includes an Apache Spark library that you can use to easily train models from your Spark clusters. In this code-level session, we show you how to integrate your Apache Spark application with Amazon SageMaker. We also dive deep into starting training jobs from Spark, integrating training jobs in Spark pipelines, and more. 01:03:25

AIM404: Build & Deploy ML Models Quickly & Easily with Amazon SageMaker Amazon SageMaker is a fully managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker takes away the heavy lifting of machine learning, thus removing the typical barriers associated with machine learning. In this session, we'll dive deep into the technical details of each of the modules of Amazon SageMaker to showcase the capabilities of the platform. We also discuss the practical deployments of Amazon SageMaker through real-world customer examples. 00:39:45

AIM405: Better Analytics Through Natural Language Processing Natural language processing holds the key to unlocking business value from unstructured data. Organizations that implement effective data analysis methods gain a competitive advantage through improved decision-making, risk reduction, or enhanced customer experience. In this session, learn how to easily process, analyze, and visualize data by pairing Amazon Comprehend with services like Amazon Relational Database Service (Amazon RDS), Amazon Elasticsearch Service, and Amazon Neptune. We also share real-world examples of how customers built text analytics solutions with Amazon Comprehend. 00:51:46

AIM406: Unlock the Potential of Your Media Assets, Fox Entertainment Group Machine learning (ML) enables developers to build scalable solutions that maximizes the use of media assets through automatic metadata extraction. From automatic transcription and language translation to face detection and celebrity recognition, ML enables you to automate manual workflows and optimize the use of your video content. In this session, learn how to use services such as Amazon Rekognition, Amazon Translate, and Amazon Comprehend to build a searchable video library, automate the creation of highlight reels, and more. Complete Title: AWS re:Invent 2018: Unlock the Full Potential of Your Media Assets, ft. Fox Entertainment Group (AIM406) 00:59:32

AIM407: Build Learning Applications Using Apache MXNet The Apache MXNet deep learning framework is used for developing, training, and deploying diverse AI applications, including computer vision, speech recognition, natural language processing, and more at scale. In this session, learn how to get started with Apache MXNet on the Amazon SageMaker machine learning platform. Chick-fil-A share how they got started with MXNet on Amazon SageMaker to measure waffle fry freshness and how they leverage AWS services to improve the Chick-fil-A guest experience. Complete Title: AWS re:Invent 2018: [REPEAT 1] Build Deep Learning Applications Using Apache MXNet - Featuring Chick-fil-A (AIM407-R1) 01:03:50

AI Summit

AIS301: Delivering on the Promise of AI Together Rohit Prasad Amazon AI We are living in a golden age of artificial intelligence (AI). Machines have already surpassed humans in some specific tasks, including image and speech recognition, thanks to the power of cloud computing, the abundance of data required to train AI systems, and improvements in foundational AI algorithms. While some express fear about the potential for AI systems to increasingly overtake the role of humans, together we should influence how these systems can improve every aspect of our lives. Join Rohit Prasad as he explores the opportunities for AI systems to augment human intelligence in ways that will make it accessible to everyone, increasing the societal good today and into the future. 00:28:07

AIS302: The Future of Mixed-Autonomy Traffic How will self-driving cars change urban mobility patterns? This talk examines scientific contributions in the field of reinforcement learning, presented in the context of enabling mixed-autonomy mobility-the gradual and complex integration of autonomous vehicles into existing traffic systems. We explore the potential impact of a small fraction of autonomous vehicles on low-level traffic flow dynamics, using novel techniques in model-free deep reinforcement learning. We share examples in the context of a new open-source computational platform and state-of-the-art microsimulation tools with deep-reinforcement libraries. 00:29:19

AIS303: Creating Movie Magic with Computational Simulations Rapid improvements in computational simulation have driven advances in many industries that rely on modelling natural phenomena. In particular, visual effects engineers use AI algorithms to create stunning imagery for feature films like Star Wars, Harry Potter, and the Marvel Cinematic Universe. In this talk, Ronald Fedkiw will discuss his research to produce a new wave of simulation technology with more realistic facial animation to remove the 'uncanny valley,' more realistic and predictive cloth simulation, as well as the simulation of botanical trees. 00:32:25

AIS304: Unbiased Learning from Biased User Feedback Logged user interactions are one of the most ubiquitous forms of data available because they can be recorded from a variety of systems (e.g., search engines, recommender systems, ad placement) at little cost. Naively using this data, however, is prone to failure. A key problem lies in biases that systems inject into the logs by influencing where we will receive feedback (e.g., more clicks at the top of the search ranking). This talk explores how counterfactual inference techniques can make learning algorithms robust against bias. This makes log data accessible to a broad range of learning algorithms, from ranking SVMs to deep networks. 00:30:03

AIS305: Intelligent Systems for Cancer Genomics One of the most exciting frontiers in science is building automated systems that use existing biomedical data to understand and ultimately treat human disease. The key difficulty in the case of cancer is that it is a highly heterogeneous disease, making it challenging to uncover which molecular alterations in tumors are important for the disease and to predict how an individual will respond to treatment. This talk presents an overview of integrative computational methods for analyzing cancer genomes that leverage a diverse range of complementary data in order to extract biomedically relevant insights. 00:29:08

AIS306: Making Aerial Micro-Drones a Reality The concept of insect-scale aerial drones has long been in the realm of science fiction rather than reality, especially since powering such small drones is fundamentally difficult. In this talk, Shyam Gollakota will share his work on robofly, the first honeybee-sized wireless drone to successfully lift off. He will also discuss an alternative biology-based solution that integrates sensing, computing, and communication functions onto live-flying bumblebees. Data generated from this mobile IoT platform can feed AI models that have the potential to generate valuable intelligence for applications ranging from precision irrigation to environmental sensing. 00:21:28

AIS307: Designing for a Data-Driven Economy The abundance of data available today has been described as a sea change and its own economy. Data has enabled new products, services, businesses, and economies. How can designers thrive as data-savvy innovators in this new economy? What do designers need to know about data, machine learning, and artificial intelligence? In this talk, Jodi Forlizzi draws from multiple research and development efforts to present relevant findings about how to design in a new data-driven economy. 00:24:05

AIS308: Pragmatic Quantum Machine Learning Today Quantum computing's theoretical potential to exponentially speed up deep learning stands in sharp contrast to the current reality. Implementations are imperfect, suffering from noise and poor coherence times, and scalability limitations. In this talk, we explore how quantum-enhanced machine learning plays a complementary role to classical techniques, rather than acting as a replacement. We discuss relevant computing paradigms, such as quantum annealing and gate-model quantum computing over discrete or continuous variables that are performed efficiently with hybrid classical-quantum protocols. 00:27:29

Alexa

ALX201: Alexa Everywhere: A Year in Review Since its launch in 2015, Alexa has enabled new experiences across many device form factors at home, work, in the car, and on the go. With over 50,000 published skills, hundreds of new API features releases, and numerous Alexa-enabled devices, it can be hard to keep track with of the current pace. In this session, we get you up to speed on the current Voice First movement, the current Conversational AI trends, and we give demonstrations of some of the latest Alexa features and devices. Come learn about the new Alexa Skills Kit (ASK) multi-modal framework, Alexa Presentation Language (APL) for developers, Alexa skill fulfillment and consumables for customers, and some of the latest device offerings utilizing the Alexa Voice Service (AVS) and the new Alexa Gadgets Toolkit. 00:56:26

ALX302: Best Practices for Making Money with Alexa Skills In this session, we walk you through the process of designing and adding in-skill purchasing to your skills. Experienced developers share their in-skill purchasing journey, the lessons they learned, and the best practices that they followed. 00:48:04

ALX305: Voice Assistants Beyond Speakers - Alexa into Your Unique Product Join us for a deep dive into the system architecture for voice-enabled products with "Alexa Built-In". Device makers can use the Alexa Voice Service (AVS) to add conversational AI to a variety of products from smart speakers to headphones, screen-based devices to smarthome, and more. Learn how to choose the right hardware and software tools, ensure great customer experience with test and certification guidelines, and leverage qualified solution providers to get your products to market faster. Complete Title: AWS re:Invent 2018: Voice Assistants Beyond Smart Speakers - Integrate Alexa into Your Unique Product (ALX305) 00:39:58

ALX312: Lessons Escape the Room That Apply to Making Money w/ Your Alexa Skills Games push the boundaries of tech, enabling us to learn from them for a wide range of use cases. Join Gal Shenar, founder of Stoked Skills, in this talk about designing and implementing Alexa in-skill purchasing for 'Escape the Room' and 'Escape the Airplane' game skills. Learn about optimizing the user experience by soft launching with live updates and implementing a premium content in-skill purchase gate while monitoring user experience flow to increase conversion rates by using AWS Lambda. 01:02:50

ALX313: Use Alexa to Reach New Customers by Developing for Multiple Screens Learn how the new Alexa Presentation Language makes it easy to develop interactive voice and touch experiences that are portable to any Alexa enabled device with a screen-tablets, TVs, Echo Show, Echo Spot, and more. Learn how to use the new APL file format, reusable UI components, and device groupings to create rich, interactive multimodal experiences that automatically adapt to target devices. 00:52:50

ALX315: Home Skill API: Connect Any Device to Alexa & Control Any Feature In this session, learn about the latest update to the Smart Home Skill API, featuring new capability interfaces you can use as building blocks to connect any device to Alexa, including those that fall outside of the traditional smart home categories of lighting, locks, thermostats, sensors, cameras, and audio & video gear. Also learn how to create Alexa Skills that contain multiple interaction models to provide a seamless customer experience. We walk through an example case study to demonstrate how you can implement these technologies to model any device or feature with Alexa. 00:48:50

ALX402: Make Money with Alexa Skills In this session, developers learn how to leverage Alexa in-skill purchasing APIs, Amazon Pay, and developer reporting tools to help unlock premium digital content in a custom voice experience. Discover how in-skill purchasing gives customers and developers the flexibility of making payments through consumables, subscriptions, and one-time entitlements. Dive deep, and leave this session with everything you need to know to make money with Alexa skills. 00:56:03

ALX406: Alexa Skill Developer Tools: Build Better Skills Faster In this session, we explore the suite of developer tools offered by the Alexa Skills team and dive into how they can help you be more productive in coding, deploying, testing, debugging, and collaborating with others on your skill. Learn about the different tools and libraries we have built to help you through the development process. A guest speaker joins us to introduce real-world use cases where our tools helped the team improve their productivity and the robustness of their skill. 00:53:35

Automotive

AMT301: Alexa, Where's My Car? Test Drive of AWS Connected Vehicle Solution The transformation of the auto industry from manufacturers to mobility providers is centered on seamlessly and safely connecting vehicles to the outside world. In this session, we discuss how customers are using AWS for a variety of connected vehicle use cases. Leave this session with source code, architecture diagrams, and an understanding of how to use the AWS connected vehicle reference architecture to build your own prototypes. Also learn how companies leverage Amazon services such as Alexa, AWS IoT, AWS Greengrass, AWS Lambda, and Amazon Kinesis Data Analytics to rapidly develop and deploy innovative mobility services. Learn how to use new enhancements in your architectures, including the IoT Device Simulator, a scalable, simulated vehicle, load generation tool, as well as the AWS IoT Framework for Automotive Grade Linux (AGL), an integrated build tool for AGL that includes the AWS IoT Device SDK and AWS Greengrass. 00:55:30

AMT302: Easy Rider: How ML, Serverless, and IoT Drive Mobility as a Service Vehicle mobility is evolving, from traditional rental and fleet services, to car sharing, ride hailing, and future driverless services. Mobility providers need an agile, scalable, digital platform to manage all aspects of their fleet and its usage. In this session, Avis Budget Group (ABG) and Slalom walk through their serverless mobility platform using the AWS connected vehicle reference architecture, Amazon SageMaker, Amazon Kinesis Data Analytics, and AWS Lambda. Learn the practical application of using AWS IoT to connect vehicles and Amazon SageMaker to apply machine learning to uncover insights for use cases, including vehicle inventory, shuttling efficiency, driver behavior, and vehicle trajectory analysis to identify fraudulent vehicle usage. We dive deep into the overall solution and services mentioned above, as well as the operations dashboard ABG created with Uber's open source framework, deck.gl. 00:55:39

Analytics

ANT201: Big Data Analytics Architectural Patterns & Best Practices In this session, we discuss architectural principles that helps simplify big data analytics. We'll apply principles to various stages of big data processing: collect, store, process, analyze, and visualize. We'll disucss 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. Complete Title: AWS re:Invent 2018: [REPEAT 1] Big Data Analytics Architectural Patterns & Best Practices (ANT201-R1) 00:44:21

ANT202: Modern Cloud Data Warehousing Most companies are overrun with data, yet they lack critical insights to make timely and accurate business decisions. They are missing the opportunity to combine large amounts of new, unstructured big data that resides outside their data warehouse with trusted, structured data inside their data warehouse. In this session, we discuss the most common use cases with Amazon Redshift, and we take an in-depth look at how modern data warehousing blends and analyzes all your data to give you deeper insights to run your business. Intuit joins us to share their experience modernizing their analytics pipeline. Complete Title: AWS re:Invent 2018: [REPEAT 1] Modern Cloud Data Warehousing ft. Intuit: Optimize Analytics Practices (ANT202-R1) 00:55:11

ANT204: Build Data Engineering Platforms with Amazon EMR Amazon EMR provides a flexible range of service customization options, enabling customers to use it as a building block for their data platforms. In this session, AWS customers Salesforce.com and Vanguard discuss in detail how they use Amazon EMR to build a self-service, secure, and auditable data engineering platform. Customers who want to optimize their design and configurations should attend this session to learn best practices from customer experts. Topics include achieving cost-efficient scale, using notebooks, processing streaming data, rapid prototyping of applications and data pipelines, architecting for both transient and persistent clusters, setting up advanced security and authorization controls, and enabling easy self service for users. 00:58:51

ANT205: Technology Trends: Data Lakes and Analytics In this talk, Anurag Gupta, VP for AWS Analytic and Transactional Database Services, talks about some of the key trends we see in data lakes and analytics, and he describes how they shape the services we offer at AWS. Specific trends include the rise of machine generated data and semi-structured/unstructured data as dominant sources of new data, the move towards serverless, SPI-centric computing, and the growing need for local access to data from users around the world. 01:01:48

ANT206: How Amazon Uses AWS Services for Analytics at a Massive Scale As Amazon's consumer business continues to grow, so does the volume of data and the number and complexity of the analytics done in support of the business. In this session, we talk about how Amazon.com uses AWS technologies to build a scalable environment for data and analytics. We look at how Amazon is evolving the world of data warehousing with a combination of a data lake and parallel, scalable compute engines, such as Amazon EMR and Amazon Redshift. Complete Title: AWS re:Invent 2018: Under the Hood: How Amazon Uses AWS Services for Analytics at a Massive Scale (ANT206) 00:55:21

ANT209: Security Challenges & Use Cases in the Modern Application Modern application build-and-deploy workflows are creating new challenges for traditional security models. Traditional workflows need to be recast in new datasets, and new workflows need to be added to cover the expanding threat surface area. In this session, we explore the security challenges created by modern application build-and-deploy pipelines. We also discuss basic considerations for security defense, example use cases, and a customer case study to illustrate the concepts. This session is brought to you by AWS partner, Sumo Logic. Complete Title: AWS re:Invent 2018: Security Challenges & Use Cases in the Modern Application Build-and-Deploy Pipeline (ANT209-S) 00:47:53

ANT210: WuXi NextCODE Scales up Genomic Sequencing on AWS Genomic sequencing is growing at a rate of 100 million sequences a year, translating into 40 exabytes by the year 2025. Handling this level of growth and performing big data analytics is a massive challenge in scalability, flexibility, and speed. In this session, learn from pioneering genomic sequencing company WuXi NextCODE, which handles complex and performance-heavy database and genomic sequencing workloads, about moving from on premises to all-in on the public cloud. Discover how WuXi NextCODE was able to achieve the performance that its workloads demand and surpass the limits of what it was able to achieve previously in genomic sequencing. This session is brought to you by AWS partner, NetApp, Inc. 00:47:54

ANT308: Building Serverless Analytics Pipelines with AWS Glue Organizations need to gain insight and knowledge from a growing number of IoT, APIs, clickstreams, and unstructured and log data sources. However, organizations are also often limited by legacy data warehouses and ETL processes that were designed for transactional data. In this session, we introduce key ETL features of AWS Glue, we cover common use cases ranging from scheduled nightly data warehouse loads to near real-time, event-driven ETL pipelines for your data lake. We also discuss how to build scalable, efficient, and serverless ETL pipelines using AWS Glue. Please join us for a speaker meet-and-greet following this session at the Speaker Lounge (ARIA East, Level 1, Willow Lounge). The meet-and-greet starts 15 minutes after the session and runs for half an hour. 00:47:22

ANT309: Build and Govern Your Data Lakes with AWS Glue As data volumes grow and customers store more data on AWS, they often have valuable data that is not easily discoverable and available for analytics. Learn how AWS Glue makes it easy to build and manage enterprise-grade data lakes on Amazon S3. AWS Glue can ingest data from variety of sources into your data lake, clean it, transform it, and automatically register it in the AWS Glue Data Catalog, making data readily available for analytics. Learn how you can set appropriate security policies in the Data Catalog and make data available for a variety of use cases, such as run ad-hoc analytics in Amazon Athena, run queries across your data warehouse and data lake with Amazon Redshift Spectrum, run big data analysis in Amazon EMR, and build machine learning models with Amazon SageMaker and AWS Glue. Additionally, Robinhood will share how they were able to move from a world of data silos to building a robust, petabyte scale data lake on Amazon S3 with AWS Glue. Robinhood is one of the fastest-growing brokerages, serving over five million users with an easy to use investment platform that offers commission-free trading of equities, ETFs, options, and cryptocurrencies. Learn about the design paradigms and tradeoffs that Robinhood made to achieve a cost effective and performant data lake that unifies all data access, analytics, and machine learning use cases. 01:00:01

ANT310: Architecting for Real-Time Insights with Amazon Kinesis Amazon Kinesis makes it easy to speed up the time it takes for you to get valuable, real-time insights from your streaming data. In this session, we walk through the most popular applications that customers implement using Amazon Kinesis, including streaming extract-transform-load, continuous metric generation, and responsive analytics. Our customer Autodesk joins us to describe how they created real-time metrics generation and analytics using Amazon Kinesis and Amazon Elasticsearch Service. They walk us through their architecture and the best practices they learned in building and deploying their real-time analytics solution. 01:01:14

ANT311: NFL & Forwood Safety Deploy Analytics at Scale w/ Amazon QuickSight Enabling interactive data and analytics for thousands of users can be expensive and challenging-from having to forecast usage, provisioning and managing servers, to securing data, governing access, and ensuring auditability. In this session, learn how Amazon QuickSight's serverless architecture and pay-per-session pricing enabled the National Football League (NFL) and Forwood Safety to roll out interactive dashboards to hundreds and thousands of users. Understand how the NFL utilizes embedded Amazon QuickSight dashboards to provide clubs, broadcasters, and internal users with Next Gen Stats data collected from games. Also, learn about Forwood's journey to enabling dashboards for thousands of Rio Tinto users worldwide, utilizing Amazon QuickSight readers, federated single sign-on, dynamic defaults, email reports, and more. 00:37:15

ANT312: Hadoop/Spark to Amazon EMR, Architect It for Security & Governance Customers are migrating their analytics, data processing (ETL), and data science workloads running on Apache Hadoop/Spark to AWS in order to save costs, increase availability, and improve performance. In this session, AWS customers Airbnb and Guardian Life discuss how they migrated their workload to Amazon EMR. This session focuses on key motivations to move to the cloud. It details key architectural changes and the benefits of migrating Hadoop/Spark workloads to the cloud. 00:50:29

ANT316: Effective Data Lakes: Challenges and Design Patterns Data lakes are emerging as the most common architecture built in data-driven organizations today. A data lake enables you to store unstructured, semi-structured, or fully-structured raw data as well as processed data for different types of analytics-from dashboards and visualizations to big data processing, real-time analytics, and machine learning. Well-designed data lakes ensure that organizations get the most business value from their data assets. In this session, you learn about the common challenges and patterns for designing an effective data lake on the AWS Cloud, with wisdom distilled from various customer implementations. We walk through patterns to solve data lake challenges, like real-time ingestion, choosing a partitioning strategy, file compaction techniques, database replication to your data lake, handling mutable data, machine learning integration, security patterns, and more. 00:59:55

ANT322: High Performance Data Streaming with Amazon Kinesis: Best Practices Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. In this session, we dive deep into best practices for Kinesis Data Streams and Kinesis Data Firehose to get the most performance out of your data streaming applications. Comcast uses Amazon Kinesis Data Streams to build a Streaming Data Platform that centralizes data exchanges. It is foundational to the way our data analysts and data scientists derive real-time insights from the data. In the second part of this talk, Comcast zooms into how to properly scale a Kinesis stream. We first list the factors to consider to avoid scaling issues with standard Kinesis stream consumption, and then we see how the new fan-out feature changes these scaling considerations. 00:55:47

ANT323: Build Your Own Log Analytics Solutions on AWS With Amazon Elasticsearch Service's simplicity comes a multitude of opportunity to use it as a back end for real-time application and infrastructure monitoring. With this wealth of opportunities comes sprawl - developers in your organization are deploying Amazon Elasticsearch Service for many different workloads and many different purposes. Should you centralize into one Amazon Elasticsearch Service domain? What are the tradeoffs in scale and cost? How do you control access to the data and dashboards? How do you structure your indexes - single tenant or multi-tenant? In this session, we'll explore whether, when, and how to centralize logging across your organization to minimize cost and maximize value and learn how Autodesk has built a unified log analytics solution using Amazon Elasticsearch Service. 00:59:30

ANT324: Amazon Athena: What's New and How SendGrid Innovates Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. In this session, we live demo exciting new capabilities the team have been heads down building. SendGrid, a leader in trusted email delivery, discusses how they used Athena to reinvent a popular feature of their platform. 01:03:07

ANT327: Best Practices to Secure Data Lake on AWS As customers are looking to build Data lakes to AWS, managing security, catalog and data quality becomes a challenge. Once data is put on Amazon S3, there are multiple processing engines to access it. This could be either through a SQL interface, programmatic, or using API. Customers require federated access to their data with strong controls around Authentication, Authorization, Encryption, and Audit. In this session, we explore the major AWS analytics services and platforms that customers can use to access data in the data Lake and provide best practices on securing them. 00:58:09

ANT328: How Instacart's Catalog Flourished While Hyper-Growing In this session, we learn how Instacart reimagined its catalog data processing pipeline to utilize Snowflake, the data warehouse built for the cloud. Instacart grew from a hand-entered catalog to one that processes billions of data points daily. Keeping pace with customer demand prompted Instacart to take an entirely new approach to addressing the unique challenges of grocery catalog curation. Through Snowflake's unique architecture, which separates compute from storage, Instacart has increased their ability to quickly scale while improving the accuracy, traceability, and quality of their reporting. In turn, better information leads to offering more customized grocery catalog options that delight their customers. This session is brought to you by AWS partner, Snowflake Computing. 00:52:29

ANT329: TIBCO: AI and Data Science Innovation with Amazon SageMaker Artificial Intelligence (AI) is right here, right now-and it's changing our lives. The need for business optimization, combined with explosive growth in data and recent advances in applied statistics and cloud computing, have created a perfect storm of innovation. TIBCO brings real-time AI to business challenges with the TIBCO Connected Intelligence Cloud. In this session, we show real-time AI in action; utilizing Amazon SageMaker, TIBCO Connected Intelligence Cloud, and open source-with at-scale, in-database compute; visual composition and notebooks; Slack-style collaboration among users; and model lifecycle deployment via low-code tooling such as TIBCO Live Apps. We include case studies in equipment surveillance, dynamic pricing, risk management, route optimization, and customer engagement. This session is brought to you by AWS partner, TIBCO Software Inc. 00:57:40

ANT330: 'Cloud First' Helps Hub Intl Grow the Business with Splunk on AWS What does 'Cloud First' really mean for your processes, customers, and the future of your business? In this session, learn from Hub International's CISO and Head of Architecture how the insurance company is transforming their business by migrating to the cloud for greater scale, cost savings, performance, and security. With a goal to go all-in on AWS by end of 2018, Hub International needed real-time visibility across its cloud and hybrid environments to mitigate risks and ensure seamless migrations-thereby keeping customers happy and their data safe. See how Hub International is harnessing machine data and predictive analytics to secure applications and infrastructure, control costs and improve capacity planning. This session is brought to you by AWS partner, Splunk. 00:44:47

ANT334: Get the Most out of Your Amazon Elasticsearch Service Domain Amazon Elasticsearch Service (Amazon ES) makes it easy to deploy and use Elasticsearch in the AWS Cloud to search your data and analyze your logs. In this session, you get key insights into Elasticsearch, including information on how you can optimize your expenditure, minimize your index sizes to lower costs, as well as best practices for keeping your data secure. Also hear from youth sports technology company SportsEngine, about their experience engineering a member-management product of over 260 million documents on top of Elasticsearch. Relive their harrowing journey through tens of thousands of shards, crushed clusters, mountains of pending tasks, and never-ending snapshots. Hear how they went from disaster to delight with Amazon ES. 00:41:07

ANT335: How to Automate Security Learning at Scale The mountain of data generated by your deployment can be a valuable source of insight for your security practice IF you take advantage of some key tools on the AWS Cloud. In this session, learn how to build an analytics process that uses security tools, whether from AWS or the community, to create a continuous feedback loop to maintain and improve the security of your deployments. Additionally, learn when to use AWS security services and other tools in your deployment and how to manage the output, thus creating an analytics workflow alongside a feedback loop in order to streamline the entire process. The end result is an automated feedback loop aimed at making sure that your deployment is doing what you intend ... and only what you intend. This session is brought to you by AWS partner, Trend Micro. 00:55:50

ANT337: How to Quickly Get Insights from IoT Data on AWS The Internet of Things (IoT) is creating massive amounts of data, but users can't easily access that data and quickly make decisions from it. Data projects are too often funded and delivered without enough consideration for how users will access and consume that data. Domo connects the people, data, and systems to give users the data they need to do their jobs, anytime and from anywhere. In this session, learn how LifeConEx, DHL's temperature management specialist, uses Domo to get insights from their IoT data to its users, and see the impressive results they have achieved. This session is brought to you by AWS partner, Domo. 00:58:25

ANT340: A Deep Dive into What's New with Amazon EMR Amazon EMR is one of the largest Spark and Hadoop service providers in the world, enabling customers to run ETL, machine learning, real-time processing, data science, and low-latency SQL at petabyte scale. In this session, we introduce design patterns such as using Amazon S3 instead of HDFS, taking advantage of both long- and short-lived clusters, using notebooks, and other architectural best practices. We discuss lowering cost with Auto Scaling and Spot Instances, and security best practices for encryption and fine-grained access control. We showcase key improvements made to the service in 2017. We cover improvements in using the Amazon EMR API, best practices utilizing Spot instances and Spot Instances with Auto Scaling, improvements toward Amazon S3 performance on Amazon EMR, and security/authorization and authentication. We couple each of these with a demo or customer use case to illustrate the benefits. If you are an existing Amazon EMR user, you walk away with a thorough understanding of improvements made in 2018, and how they benefit you. If you are a new Amazon EMR user, get an understanding of common use cases and how other customers are using Amazon EMR. 00:57:49

ANT350: What's New with Amazon Redshift ft. McDonald's Learn about the latest and hottest features of Amazon Redshift. We'll deep dive into the architecture and inner workings of Amazon Redshift and discuss how the recent availability, performance, and manageability improvements we've made can significantly enhance your user experience. We'll also share glimpse of what we are working on and our plans for the future. McDonald's will join us to share how they leverage a data lake powered by Redshift, Redshift spectrum and Athena to get quick insights. 00:25:58

ANT396: NEW LAUNCH! Intro to AWS Lake Formation - Build a secure data lake Setting up and managing data lakes today involves a lot of complicated and time-consuming tasks. AWS Lake Formation is a new service (coming soon) that will make it easy to set up a secure data lake in days. You will be able to ingest, catalog, cleanse, transform, and secure your data. Explore how AWS Lake Formation will make it easier to combine analytic tools, like Amazon EMR, Redshift, Athena, Sagemaker, and QuickSight, on data in your data lake. 01:07:18

ANT398: NEW LAUNCH! Amazon Managed Streaming for Kafka Discover the power of running Apache Kafka on a fully managed AWS service. In this session, we describe how Amazon Managed Streaming for Kafka (Amazon MSK) runs Apache Kafka clusters for you, demo Amazon MSK and a migration, show you how to get started, and walk through other important details about the new service. 00:48:21

ANT401: Deep Dive and Best Practices for Amazon Redshift In this session, we take an in-depth look at how modern data warehousing blends and analyzes all your data, inside and outside your data warehouse, without moving the data. This helps you gain deeper insights in running your business. We also cover best practices on how to design optimal schemas, load data efficiently, and optimize your queries to deliver high throughput and performance. 00:57:03

Application Integration

API301: Modernizing Media Supply Chains with AWS Serverless Learn how Fox and Discovery modernized their media processing workflows to positively impact operations and business results. In this session, we examine each company's production architecture and learn how they utilize AWS services such as AWS Elemental Media Services, AWS Lambda, AWS Step Functions, Amazon API Gateway, and container toolsets. You also get insights into new business capabilities enabled by their AWS serverless architecture, including automation of content assembly and quality control as well as increased customer engagement with personalization and improved processing performance. 00:54:21

API302: Serverless State Management & Orchestration for Modern Apps Keeping track of state and orchestrating the components of a distributed application is complex. AWS Step Functions makes the job simpler, faster, and more intuitive. In this session, learn how to leverage AWS Step Functions to design and run workflows for your serverless, containerized, and instance-based architectures. We explore practical applications of orchestration spanning different industries and workloads. For each, we walk through the architecture, lessons learned, and business outcomes. Expect to leave this session with a practical understanding of how to use orchestration to express your application's business logic more productively while improving its resilience. 00:49:37

API305: Choosing the Right Messaging Service for Your Distributed App In the cloud, modern apps are decoupled into independent building blocks, called microservices, which are easier to develop, deploy, and maintain. Messaging is a central tool used to connect and coordinate these microservices. AWS offers multiple messaging services, which address a variety of use cases. In this session, learn how to choose the service that's best for your use case as we present the key technical features of each. We pay special attention to integrating messaging services with serverless technology. We cover Amazon Kinesis, Amazon SQS, and Amazon SNS in detail with discussion of other services as appropriate. 00:47:50

API306: Build High-Throughput, Bursty Data Apps with Amazon SQS, SNS, & Lambda In this session, we discuss best practices for building serverless applications that handle high throughput and bursty data using Amazon SQS, Amazon SNS, and AWS Lambda, including new features such as message filtering and SNS/SQS as event sources for Lambda will be covered in depth. Hear from our customers Enel and Letgo as they share their experiences and deployment strategies. Enel is a multinational energy company that is present in 34 countries across 5 continents, and serves nearly 71 million end-users. The company uses AWS as its platform for IoT and energy management. Letgo is one of the largest and fastest-growing apps to buy and sell locally, with over 100 million downloads and hundreds of millions of listings. Letgo uses AWS to process their online marketplace transactions. 00:52:41

API320: Develop Integrations for Salesforce and AWS In this session, learn how Autodesk and FinancialForce have developed integrations between Salesforce and AWS applications, analytics, data lakes, and machine learning. Also learn what's new from Salesforce and AWS to help you build new customer experiences. 00:54:42

API325: ML Workflows with Amazon SageMaker and AWS Step Functions Learn how you can build, train, and deploy machine learning workflows for Amazon SageMaker on AWS Step Functions. Learn how to stitch together services, such as AWS Glue, with your Amazon SageMaker model training to build feature-rich machine learning applications, and you learn how to build serverless ML workflows with less code. Cox Automotive also shares how it combined Amazon SageMaker and Step Functions to improve collaboration between data scientists and software engineers. We also share some new features to build and manage ML workflows even faster. 01:02:00

API330: Predictive Scaling for More Responsive Applications Get a jump on traffic surges with Predictive Auto Scaling. AWS Auto Scaling now responds more quickly by analyzing past traffic trends. The new predictive capability looks at your incoming load and forecasts it into the future. Not only can you see ahead of time when and how your resources will scale, your resources are made available ahead of when they are needed to enable faster, more responsive applications. Come learn how Genesys uses Predictive Scaling to scale the infrastructure used to run their popular contact center solution, PureCloud, worldwide. 00:51:17

Architecture

ARC202: Running Lean Architectures: How to Optimize for Cost Efficiency Aimed at solutions architects and technical managers, this session focuses on the practical ways our customers achieve cost-efficient architectures through service selection and configuration. We start by discussing the building block services. We cover the main trends, such as containers and serverless, and we explore some of the specific services and configurations customers have used. We also take you through real-life examples that can be implemented to minimize costs while driving innovation and business output. After you attend this session, you will understand what is possible on AWS, and you will know ways in which you can deploy new workloads or modify existing workloads for optimization. 00:36:21

ARC205: Scaling Up to Your First 10 Million Users Cloud computing provides a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session for best practices on scaling your resources from one to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud. 00:58:55

ARC209: Architecture Patterns for Multi-Region Active-Active Applications Do you need your applications to extend across multiple regions? Whether for disaster recovery, data sovereignty, data locality, or extremely high availability, many AWS customers choose to deploy services across regions. Join us as we explore how to design and succeed with active-active multi-region architectures. Please join us for a speaker meet-and-greet following this session at the Speaker Lounge (ARIA East, Level 1, Willow Lounge). The meet-and-greet starts 15 minutes after the session and runs for half an hour. Complete Title: AWS re:Invent 2018: [REPEAT 2] Architecture Patterns for Multi-Region Active-Active Applications (ARC209-R2) 00:50:41

ARC212: Trends in Digital Transformation As industries digitally transform their existing business models to fend off competitors or disrupt new markets, they find their IT to be a limiting factor. In this session, we cover the trends of disruptions and opportunities of digital transformation, and the evolution of IT monoliths to microservices and now cloud native services. We also explore dependency management, or lock in, through a 'choosing, using, and losing' mental model. Finally, we explore chaos architecture as an evolving method for exposing weaknesses before they become real problems. 00:58:37

ARC217: Foundations of AWS Global Cloud Infrastructure The unique global cloud infrastructure offered by AWS helps customers build reliable, available, secure, scalable, and fault-tolerant applications. AWS has more experience operating global cloud infrastructures that enables customers to run business-critical workloads in the public cloud than anyone else. In this session, learn how AWS is continuously enhancing and expanding the AWS global infrastructure through more Regions and Availability Zones, custom hardware, purpose-built global network backbone, and innovative energy management systems to deliver to our customers lower latency, greater reliability, greater scalability, and operational efficiencies. 00:46:27

ARC218: Enabling a Digital Platform with Microservices Architecture Bajaj Finserv Direct Limited (BFDL) serves millions of customers with its comprehensive portfolio and innovative offerings in financing, general insurance, life and health insurance and retirement and savings. BFDL envisioned building a cloud-native digital platform to offer an unmatched experience to its customers. In this session, hear from BDFL how they built a robust digital backbone on AWS with a scalable microservices architecture deployed using Docker containers. The session also focuses on how a scalable microservices-based architecture can be developed using various AWS services. This session is brought to you by AWS partner, Cognizant Technology Solutions US Corp. 00:34:41

ARC305: Serverless Architectural Patterns and Best Practices As serverless architectures become more popular, customers need a framework of patterns to help them identify how to leverage AWS to deploy their workloads without managing servers or operating systems. This session describes reusable serverless patterns while considering costs. For each pattern, we provide operational and security best practices and discuss potential pitfalls and nuances. We also discuss the considerations for moving an existing server-based workload to a serverless architecture. This session can help you recognize candidates for serverless architectures in your own organizations and understand areas of potential savings and increased agility. 00:38:06

ARC307: How Intuit TurboTax Ran Entirely on AWS for 2017 Taxes In this session, Intuit presents how they prepared TurboTax to take the production load, and how they gained the confidence to run their 2017 peak activity entirely on AWS. They discuss resiliency testing, game days, operational run books, working with AWS Support, and how each of these activities impacted their confidence in their reliability and availability. 00:58:03

ARC309: From One to Many: Evolving VPC Design As more customers adopt Amazon VPC architectures, the features and flexibility of the service are encountering the obstacles of evolving design requirements. In this session, we follow the evolution of a single regional VPC to a multi-VPC, multi-region design with diverse connectivity into on-premises systems and infrastructure. Along the way, we investigate creative customer solutions for scaling and securing outbound VPC traffic, securing private access to Amazon S3, managing multi-tenant VPCs, integrating existing customer networks through AWS Direct Connect, and building a full VPC mesh network across global regions. Please join us for a speaker meet-and-greet following this session at the Speaker Lounge (ARIA East, Level 1, Willow Lounge). The meet-and-greet starts 15 minutes after the session and runs for half an hour. 00:49:56

ARC318: Inference at the Edge: A Case Study at the Amazon Spheres In this talk, we consider the unique challenges of the biosphere that recently opened in downtown Seattle. We address two of those challenges using modern deep learning techniques: computer-vision-based plant health monitoring, and microclimate anomaly detection using autoencoders on time-series data extracted from multiple sensors. Our focus is on architecting the inference pipelines for solving these problems at scale. Specifically, we highlight the inference steps and TensorRT optimizations for AWS Greengrass ML inference. 01:02:43

ARC324: Architecting Next Generation Serverless SaaS Solutions on AWS The emergence of serverless infrastructure and services represents a fundamental shift in how developers approach architecting applications. This is especially relevant in the world of SaaS where systems must efficiently and cost-effectively respond to continually shifting multi-tenant loads and profiles. We'll conduct an end-to-end review of all the elements of a serverless SaaS architecture that leverages a combination of AWS Lambda, Fargate, and Aurora Serverless. We'll look at how serverless influence the core elements of your architecture, including tenant isolation, service decomposition, management and monitoring, deployment, and identity. Complete Title: AWS re:Invent 2018: [REPEAT] Architecting Next Generation Serverless SaaS Solutions on AWS (ARC324-R) 00:58:46

ARC333: From Russia with Love: Fox Sports World Cup Production The 2018 FIFA World Cup was the biggest production in Fox Sports 20-year history in terms of personnel, hours, and scale. With 64 matches broadcast, it totalling more than four previous World Cups combined. To deliver this, they deployed a revolutionary joint solution from AWS, Aspera, and a portfolio of APN partners that enabled the live delivery of a broadcast video from Russia to Los Angeles for remote production. In this session, learn the architectural patterns of large-scale data and content movement to the cloud over long distances with low-latency requirements, the high-availability requirements around broadcast workloads, and tradeoffs to consider. We cover how Amazon S3, Amazon EC2, AWS Lambda, Amazon SQS, and other services processed over 1.9 PB of original content over the 30-day tournament. 00:57:16

ARC334: Scaling Push Messaging for Millions of Netflix Devices Netflix built Zuul Push, a massively scalable push messaging service that handles millions of always-on, persistent connections to proactively push time-sensitive data, like personalized movie recommendations, from the AWS Cloud to devices. This helped reduce Netflix's notification latency and the Amazon EC2 footprint by eliminating wasteful polling requests. It also powers Net 00:57:10

ARC338: How AWS Minimizes the Blast Radius of Failures At AWS, we obsess over operational excellence. We have a deep understanding of system availability, informed by over a decade of experience operating the cloud and our roots of operating Amazon.com for nearly a quarter-century. One thing we've learned is that failures come in many forms, some expected, and some unexpected. It's vital to build from the ground up and embrace failure. A core consideration is how to minimize the "blast radius" of any failures. In this talk, we discuss a range of blast radius reduction design techniques that we employ, including cell-based architecture, shuffle-sharding, availability zone independence, and region isolation. We also discuss how blast radius reduction infuses our operational practices. 00:50:05

ARC407: A Chronicle of Airbnb Architecture Evolution Airbnb is going through tremendous growth internationally, evolving from a home sharing company to a global travel community with many product offerings. The growth driven by the business, increase in traffic, and aggressive hiring created a new challenge for the Production Infrastructure Team. The team has grown from a small team of 10 to a production platform organization with 100 engineers that builds foundational services that support homes, experiences, luxury, and China. We shifted our priority and focus to move away from putting out fires to building a platform that can grow with the company. In this session, we chronicle Airbnb's architectural evolution that aligns with organizational growth strategy, and review how we overcame different architectural challenges leveraging AWS technologies. 00:55:43

ARC418: Deconstructing SaaS: Building Multi-Tenant Solutions on AWS SaaS presents developers with a unique blend of architectural challenges. While the concepts of multi-tenancy are straightforward, the reality of making all the moving part work together can be daunting. For this session, we'll move beyond the conceptual bits of SaaS and look under the hood of a SaaS application. The goal here is to examine the fundamentals of identity, data partitioning, and tenant isolation through the lens of a working solution and highlight the challenges and strategies associated with building a next-generation SaaS application on AWS. We'll look at the full lifecycle of registering new tenants, applying security policies to prevent cross-tenant access, and leveraging tenant profiles to effectively distribute and partition tenant data. The goal here is to connect many of the conceptual dots of a SaaS implementation, highlighting the tradeoffs and considerations that will shape your approach to SaaS architecture. 00:42:10

AR/VR

ARV201: Create a Virtual Concierge Using Sumerian Hosts In this talk, we review the challenges of adding a virtual character to AR/VR applications and highlight how Amazon Sumerian solves these challenges. We discuss leading use cases and demonstrate how customers are creating dynamic, interactive virtual concierges using Sumerian hosts integrated with various AWS technologies, such as Amazon Polly, Amazon Lex, Amazon Rekognition, and AWS Lambda. 00:57:33

ARV203: What's New in AR & VR: State of the World Report In this session, Amazon Sumerian leaders provide an overview of the evolution of the augmented reality/virtual reality (AR/VR) industry. They discuss what has changed since Sumerian was announced at re:invent 2017. They also talk about key market trends, and they highlight areas with the highest adoption and potential. This is an immersive session, with examples and demonstrations of immersive experiences created using Amazon Sumerian. 00:59:33

ARV204: Create Immersive Experiences Using Amazon Sumerian Anyone can create and publish augmented reality (AR), virtual reality (VR), and 3D applications quickly and easily with Amazon Sumerian. In this session, learn how to use Sumerian to build a scene that can be published and viewed on laptops, mobile phones, VR headsets, and digital signage. Take a tour of the Sumerian interface, and learn how to build a scene, add assets and hosts, and add behaviors to create dynamically animated objects and characters in an AR/VR experience. Also see how Sumerian integrates into AWS services such as Amazon Polly, Amazon Lex, AWS Lambda, Amazon S3, and Amazon DynamoDB. 00:51:46

Business Apps

BAP201: Securely Deliver Desktop Applications with Amazon AppStream 2.0 In this session, learn how to provide your users with instant access to critical desktop applications through a browser on any computer. We present an overview of Amazon AppStream 2.0, a fully managed application streaming service, and walk through common application streaming use cases for enterprises, ISVs, 3D design and engineering firms, and educational institutions. We close with a simple walk through to help you get started. 00:51:10

BAP202: Paying Less Is the New Black with Amazon Chime Pay-Per-Use-Pricing Are you constantly challenged to find the right tools to meet your company's collaboration needs while keeping costs down? You might have decided to use chat and meeting solutions bundled with an enterprise collaboration suite that doesn't meet all your needs. Even worse, you might be overpaying for features that you don't even use. Join us in this session to learn how Connexity was able to roll out Amazon Chime in just a few steps. Costs were not only reduced, but using Chime's pay-as-you-go pricing resulted in collaboration costs dropping by 25% and administrative overhead dropping to zero. 00:57:30

BAP203: Leadership Session: Alexa for Business Alexa transformed the smart home market segment and is now transforming how we interact with applications and technology at work. Alexa for Business is a service that helps you manage Alexa devices, users, and skills and helps you voice-enable your workplace. In this session, Collin Davis, GM, Alexa for Business, talks about the new features in Alexa for Business and how customers are adopting Alexa VUI in their workplace. 00:52:35

BAP204: Using AWS End User Computing Services for Your Modern Workforce Tens of thousands of customers are moving their desktops and application infrastructure to the cloud to help IT be more efficient and help their employees be more productive. Join us to hear from AWS leaders and customers alike to learn about end user computing services from AWS. Get insights into how you can use these services. We discuss the most recent announcements from Amazon WorkSpaces and Amazon AppStream, and we explain how you can use AWS capabilities to deliver end user computing solutions for your organization. 00:57:28

BAP205: Build Cloud-Native Applications in an Enterprise Environment Learn how Volkswagen Financial Services is reaching its ambition to have core financial products online, worldwide by 2022. In this session, Daniel Matthies, Head of the Digital Unit at Volkswagen Financial Services, discusses how to leverage AWS for development and create a compliant SaaS office solution. Discover where the areas of freedom are when working within local markets. Learn best practices for engaging subsidiary companies and a cross-location team to ensure everyone is truly enabled, while tackling the doubts some colleagues may have previously had about stepping into the world of cloud technology and solutions. This session is brought to you by AWS partner, Cloudreach Inc. 00:59:49

BAP208: Say Goodbye to Legacy Network File Shares with Amazon WorkDocs Drive Amazon WorkDocs is a secure, fully managed, content creation file collaboration and management service with an extensible SDK that runs on AWS. Amazon WorkDocs Drive is an economical and secure alternative to your on-premises network shares and complicated VPN setups that brings all your WorkDocs content into your Windows Explorer or Mac Finder. In this session, learn how you can have billions of files available on your desktop for collaboration and sharing with Amazon WorkDocs Drive, all without taking any hard drive space. 01:00:19

BAP303: Build the Next-Gen Meeting Room Experience Using Alexa for Business Alexa for Business brings a conversational UI to help you simplify your meeting room experience. In this session, learn how you can bring Alexa for Business to your meeting room and integrate it with your existing meeting room systems. In addition, the Amazon IT team discusses best practices, and they describe how they piloted and deployed Alexa for Business in over 800 conference rooms at Amazon. Complete Title: AWS re:Invent 2018: [REPEAT 1] Build the Next-Gen Meeting Room Experience Using Alexa for Business (BAP303-R1) 00:37:00

BAP305: How to Move to Amazon WorkSpaces and Replace Your Legacy VDI Learn why more customers than ever are leaving the complexity and costs of virtual desktop infrastructure (VDI) for cloud desktop solutions like Amazon WorkSpaces. In this session, we discuss how you can use Amazon WorkSpaces to give your employees a responsive, secure, and delightful desktop experience while simplifying your own processes. We demonstrate the flexibility of Amazon WorkSpaces and show 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. 01:07:22

BAP309: Customizing Your Amazon Connect Contact Center Hear from Amazon Connect customers on how they seamlessly integrated their business applications with Amazon Connect using a combination of development tools and available AWS services. axialHealthcare demonstrates their HIPAA-compliant phone platform, built around Amazon Connect, which enables its clinical care team to increase provider and patient outreach efficiency, enhance client reporting, and improve provider and patient satisfaction while ensuring the safety of protected health information. Rackspace shares how they used the Amazon Connect Streams API to build a customized agent experience through a native desktop application to accommodate diverse agent configurations and multiple platforms. 00:58:50

BAP322: Bring the Power of AI to Your Amazon Connect Contact Center With Amazon Connect, a cloud-based contact center service, businesses can create dynamic contact flows that provide personalized caller experiences by taking history and past context into consideration to anticipate callers' needs. Join us to learn how customers are executing successful strategies using Amazon Lex to add NLU chatbots into their Amazon Connect customer experience workflows. Learn how using Amazon Lex, an AI service that enables you to create intelligent conversational chatbots that can turn your contact flows into natural conversations using the same technology that powers Amazon Alexa. Learn how to automate repeatable routine tasks such as password resets, order status, and balance inquiries without the need for an agent. 01:02:17

BAP323: Desktops & Applications to AWS with Amazon WorkSpaces & AppStream 2.0 IT organizations today need to support a modern, flexible, global workforce and ensure that their users can be productive anywhere. Moving desktops and applications to the AWS Cloud offers improved security, scale, and performance with cloud economics. In this session, we provide an overview of Amazon WorkSpaces and Amazon AppStream 2.0, and we discuss the use cases for each. Then, we dive deep into best practices for implementing Amazon WorkSpaces and AppStream 2.0, including how to integrate with your existing identity, security, networking, and storage solutions. Complete Title: AWS re:Invent 2018: Move Your Desktops & Applications to AWS with Amazon WorkSpaces & AppStream 2.0 (BAP323) 00:53:33

BAP324: Moving Large Scale Contact Centers to Amazon Connect In this session, you will learn how Intuit and Hilton are migrating their large scale contact centers to Amazon Connect, a self-service, cloud-based contact center offering based on the same technology used by over 70,000 Amazon Customer Service Associates. We will begin the session with an overview of Amazon Connect and hear from Intuit and Hilton about their experiences and best practices that will help prepare any large scale business planning a migration to Amazon Connect. 00:56:33

Compute

CMP201: Better, Faster, Cheaper Cost Optimizing Compute with Amazon EC2 Fleet Amazon EC2 Fleet makes it easier than ever to grow your compute capacity and enable new types of cloud computing applications while maintaining the lowest TCO by blending EC2 Spot, On-Demand and RI purchase models. In this session, learn how to use the power of EC2 Fleet with AWS services such as Auto Scaling, ECS, EKS, EMR, Batch, Thinkbox Deadline and Opsworks to programmatically optimize costs while maintaining high performance and availability - all without breaking a sweat. We will dive deep into cost optimization patterns for workloads like containers, web services, CI/CD, batch, big data, rendering and more. Complete Title: AWS re:Invent 2018: [REPEAT 1] Better, Faster, Cheaper - Cost Optimizing Compute with Amazon EC2 Fleet #savinglikeaboss (CMP201-R1) 00:47:03

CMP202: Scale Your Studio: Rendering with Spot and Deadline on AWS What if you could scale your rendering pipeline to near-limitless capacity- what would that mean for your studio? Learn how Amazon EC2 Spot and AWS Thinkbox Deadline can help scale your VFX and CG rendering pipeline, creating faster feedback cycles and most artist time focused on creating content, and how you can optimize your compute costs along the way. This session focuses on rendering workloads combining Deadline (an AWS rendering pipeline management tool) and Spot for scalable cost-effective computing. Find out how real customers working on Hollywood productions are integrating their pipelines with AWS to realize the elasticity and scale provided by Amazon EC2, as well as how they intend to leverage AWS in the future to scale their superpowers. 00:58:20

CMP203: Amazon Linux 2: Stable, Secure, High-Performance Linux Environment In this session, learn about Amazon Linux 2, the next generation Amazon Linux operating system that now comes with five years of support. See what's new with Amazon Linux 2, how it's different from other distributions of Linux, and understand why it's rapidly becoming the go-to operating system for AWS customers. Complete Title: AWS re:Invent 2018: [REPEAT 1] Amazon Linux 2: A Stable, Secure, High-Performance Linux Environment (CMP203-R1) 00:59:06

CMP204: How to Effectively Plan for Disaster Recovery on AWS Although the AWS Cloud provides a new level of durability and resiliency, no workload is immune to disasters-be it due to accidental reasons or malicious intent. Even in the cloud, you have to ensure continuity. Traditional disaster recovery (DR) solutions are not optimized for the cloud and often result in higher costs, increased complexity, and operational challenges. To maintain compliance and business continuity service-level agreements, AWS DR planning requires a completely different approach to deal with cross-account, cross-region workload testing and failover. In this session, learn how you can set up an effective DR plan for your AWS environments. This session is brought to you by AWS partner, Druva. 00:57:13

CMP205: Digital Transformation: Leveraging AWS as a Launchpad Learn how DXC helped a Fortune 1000 client drive digital transformation with AWS. An APN Premier Consulting Partner, DXC illustrates through customer testimonials, use cases, and architectures how enterprise clients have transformed their business with the AWS Cloud. This session is brought to you by AWS partner, DXC Technology. 01:00:31

CMP207: What's New in Amazon EC2, Containers, & Serverless Matt Garman, VP of AWS Compute Services, introduces the latest innovations in the compute space. In this keynote address, we announce new compute capabilities, and we share insights into what makes the AWS compute business unique. We also announce new capabilities for Amazon EC2 instances, EC2 networking, EC2 Spot Instances, Amazon Lightsail, Containers, and Serverless. Matt is joined by executives from our customers and partners who share valuable success stories of how Amazon EC2 has helped their journey to digital transformation. 00:55:28

CMP208: Amazon EC2 Foundations Amazon EC2 provides resizable compute capacity in the cloud and makes web-scale computing easier for customers. It offers a wide variety of compute instances well suited to every imaginable use case, from static websites to high-performance supercomputing on-demand, all available through highly flexible pricing options. This session covers the latest Amazon EC2 features and capabilities, including new instance families available in Amazon EC2, the differences among their hardware types and capabilities, and their optimal use cases. We also cover some best practices on how you can optimize your expenditure on Amazon EC2 to make the most of your EC2 instances, saving time and money. 00:48:47

CMP209: Amazon EC2 T Instances - Burstable, Cost-Effective Performance In this session, you will learn how to utilize low cost T2 and T3 instances while still having access to sustainable high performance when needed. Designed for applications with variable CPU usage that experience occasional spikes in demand, T instances enable customers' applications to burst seamlessly to meet temporary traffic peaks and then scale back down to operate at typical traffic levels. The next generation T3 instances provide up to 30% better price performance over T2 instances and include unlimited bursting by default, making it a cost-effective choice for general-purpose computing. 00:55:28

CMP301: Backing Up Amazon EC2 with Amazon EBS Snapshots With Amazon EBS, you can easily create a simple point-in-time backup for your Amazon EC2 instances. In this deep dive session, you learn how to use Amazon EBS snapshots to back up your Amazon EC2 environment. We review how snapshots work, and we share best practices for tagging snapshots, cost management, and snapshot automation. 01:00:09

CMP302: Computing on AWS: Driving Innovation w/o Infrastructure Constraints In today's environment of increasingly large data sets and resource-intensive algorithmic processing, the challenge of HPC includes keeping pace with the demands of researchers, scientists, engineers, and creative professionals so they can rapidly produce high-value answers to complex questions. AWS HPC solutions deliver significant leaps in compute performance, memory capacity and bandwidth and I/O scalability. The highly customizable computing platform and robust partner ecosystem enable your staff to imagine new approaches so they can fail forward faster, delivering more answers to more questions without the need for costly, on-premises upgrades. This session provides an overview of HPC capabilities on AWS, describes the newest generations of accelerated computing instances, as well as highlighting customer and partner use-cases across industries. Attendees will also learn how the steadily increasing interest in running HPC workloads on the cloud can be combined with the advances in AI/ML to make it a catalyst for sustained innovation in these industries. Complete Title: AWS re:Invent 2018: [REPEAT 1] High Performance Computing on AWS: Driving Innovation without Infrastructure Constraints (CMP302-R1) 00:43:10

CMP303: Powering Next-Gen EC2 Instances: Deep Dive into the Nitro System The Nitro system is a rich collection of building block technologies that include hardware offload and security components built on AWS. It is powering the next generation of EC2 instances with an ever-broadening selection of compute, storage, memory, and networking options. In this session, we deep dive into the Nitro system, explore its design and architecture, discover how it enables innovative new EC2 instances, and understand how it has made the seemingly impossible, possible. 01:02:39

CMP305: VMware Cloud on AWS: Deep Dive Dive deep into VMware Cloud on AWS-an integrated cloud offering jointly developed by AWS and VMware. It delivers a highly scalable, secure, and innovative service that enables organizations to seamlessly migrate and extend their on-premises VMware vSphere-based environments to the AWS Cloud. In this session, we cover the cloud challenges addressed by VMware Cloud on AWS, its architecture, its integration with AWS services, its unique benefits, and some popular use cases. We also explore consumption options, pricing, value-add services, total cost of ownership versus other alternatives, and customer success stories. Finally, we show some demonstrations of the service in action. 00:54:50

CMP306: Run Production Workloads on Spot, Save up to 90% Amazon EC2 Spot Instances enable you to use spare EC2 computing capacity- capacity that is often 90% less than On-Demand prices. In this session, learn how to effectively harness Spot Instances for production workloads. We explore application requirements for using Spot Instances, best practices learned from thousands of customers, and the services that make it easy to use. 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. 01:05:06

CMP307: Amazon EC2 Instances & Performance Optimization Best Practices Amazon EC2 provides a broad selection of instance types to accommodate a diverse mix of workloads. In this session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances. Complete Title: AWS re:Invent 2018: [REPEAT 1] Deep Dive on Amazon EC2 Instances & Performance Optimization Best Practices (CMP307-R1) 01:00:17

CMP308: Optimizing Network Performance for Amazon EC2 Instances 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- including 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-efficient manner. We share best practices and performance tips for getting the best networking performance out of your Amazon EC2 instances. 00:49:31

CMP309: Scale SAP HANA In-Memory DB on EC2 Instances with up to 12 TB Memory EC2 High Memory instances offer 6 TB, 9 TB, and 12 TB of memory in a single instance. These instances are purpose-built to run large in-memory databases, including production deployments of the SAP HANA in-memory database, in the cloud. Join this session for a detailed look into these high-memory instances, and learn how you can use these EC2 instances in your Amazon VPC together with Amazon EBS to run mission-critical SAP HANA workloads to realize greater speed and agility. Hear how Whirlpool was able to leverage the agility and flexibility of this platform to move quicker with its own SAP workload needs. Complete Title: AWS re:Invent 2018: Scale Your SAP HANA In-Memory Database on Amazon EC2 High Memory Instances with up to 12 TB of Memory (CMP309) 00:52:18

CMP310: Application Portability with Kubernetes Application portability has always been the goal that operators aspire towards. The deployment simplicity in Kubernetes has made this goal attainable, especially when using Kubernetes-as-a-Service like VMware Kubernetes Engine (VKE), built natively on AWS. In this talk, using an application running in the data center, we show how easy it is to implement a hybrid cloud strategy and deploy the same application onto a VKE-managed Kubernetes cluster using Helm. We share best practices on how to implement end-to-end network configuration automation and application monitoring with open-source tooling like Prometheus and Grafana. This session is brought to you by AWS partner, VMware, Inc. 00:52:02

CMP373: Extend HPC Workloads to Amazon EC2 Instances with Intel and Rescale Cloud services built on compute-optimized EC2 instances can serve as your next-generation HPC platform. Learn how to utilize the Rescale platform on AWS to meet the ever-increasing demands on compute resources while avoiding costly capex investments. Custom Intel Xeon processors enable you to meet your HPC needs by taking advantage of the newest technologies in the cloud. This session is brought to you by AWS partner, Intel. 00:54:57

CMP376: Another Week, Another Million Containers on Amazon EC2 Netflix's container management platform, Titus, powers critical aspects of the Netflix business, including video streaming, recommendations, machine learning, big data, content encoding, studio technology, internal engineering tools, and other Netflix workloads. Titus offers a convenient model for managing compute resources, enables developers to maintain just their application artifacts, and provides a consistent developer experience from a developer's laptop to production by leveraging Netflix container-focused engineering tools. 00:58:27

CMP377: Capacity Management Made Easy with Amazon EC2 Auto Scaling Amazon EC2 Auto Scaling removes the complexity of capacity planning to help customers improve application availability and reduce costs. In this session, we will deep dive on how EC2 Auto Scaling works to simplify health checking, security patching, continuous deployments, and automatic scaling with changing load. Netflix is spending over $8 billion on programming this year, with shows like Lost In Space, Altered Carbon and Money Heist, and plenty more in the future. They will share how Auto Scaling allows their infrastructure to automatically adapt to changing traffic patterns in order to keep their audience entertained and their costs on target. 00:57:07

CMP391: NEW LAUNCH! Amazon EC2 A1 Instances Based on the Arm Architecture Amazon EC2 offers a comprehensive set of instances targeted at a variety of customer workloads optimized across compute, storage, memory, network, as well as accelerators, such as GPUs. For the first time, Amazon EC2 is introducing instances that are powered by CPUs custom built by Amazon on the Arm architecture. In this session, we will deep dive into Amazon EC2 A1 instances and learn about the key capabilities, target usages, benefits, and the overall ecosystem. 00:47:50

CMP393: NEW LAUNCH! AWS License Manager Deep Dive AWS License Manager is a new service that makes it easy to bring your existing licenses to the AWS cloud and reduce licensing costs. This service offers a one-stop solution for managing licenses from a variety of software vendors such as Microsoft, Oracle, IBM, SAP, and others, and helps you benefit from the existing investments in enterprise agreements. In this session, we take you through a deep dive of the service capabilities and how to use them. We cover topics such as how to manage your operating system and database licenses using this service, and how to track and report usage on cloud, on-premise and across your organizational accounts. 00:53:51

Containers

CON301: Mastering Kubernetes on AWS Kubernetes offers a powerful abstraction layer for managing containerized infrastructure. Amazon Elastic Container Service for Kubernetes (Amazon EKS) makes it easy to run Kubernetes on AWS without having to manage master nodes or the etcd operator. In this session, we cover what you need to know to get your application up and running with Kubernetes on AWS. We show how Amazon EKS makes deploying Kubernetes on AWS simple and scalable, including networking, security, monitoring, and logging. 00:41:39

CON305: Get SaaSy with Red Hat OpenShift on AWS Making AWS services accessible from within OpenShift is seamless. From a single platform, operations teams can administer AWS services, and developers can easily find and consume those services within their applications in a truly hybrid environment. In this session, we dive deep into deploying OpenShift on AWS and deploying the AWS Service Broker. We also share some very interesting use cases. Because this is a deep-dive session, we recommend you have an understanding of containers and native AWS services. This session is brought to you by AWS partner, Red Hat, Inc. 01:02:32

CON306: Observability for Modern Applications In modern, microservices-based applications, it's critical to have end-to-end observability of each microservice and the communications between them in order to quickly identify and debug issues. In this session, we cover the techniques and tools to achieve consistent, full-application observability, including monitoring, tracing, logging, and service mesh. 00:59:00

CON307: Production-Ready Environments for Kubernetes Kubernetes is taking off and being rapidly adopted both on-premises and in the AWS Cloud. Today, enterprises are struggling to build, deploy, and manage production-ready environments at scale. The Cisco Hybrid Solution for Kubernetes on AWS makes it easy for customers to run production-grade Kubernetes on-premises. This is achieved by configuring on-premises Kubernetes environments to be consistent with Amazon Elastic Container Service for Kubernetes (Amazon EKS) and by combining Cisco's networking, se