AWS re:Invent 2019

Andy Jassy, CEO of Amazon Web Services, delivers his AWS re:Invent 2019 keynote, featuring the latest news and announcements, including the launches of M6g, R6g, C6g instances, Inf1 instances, Amazon EKS for AWS Fargate , Amazon S3 Access Points, Amazon Redshift RA3 instances, AQUA (Advanced Query Accelerator) for Amazon Redshift, UltraWarm for Amazon Elasticsearch Service, Amazon Managed Apache Cassandra Service, Amazon SageMaker Studio, Amazon SageMaker Notebooks, Amazon SageMaker Experiments, Amazon SageMaker Debugger, Amazon SageMaker Model Monitor, Amazon SageMaker Autopilot, Amazon Fraud Detector, Amazon CodeGuru, Contact Lens for Amazon Connect, Amazon Kendra, the general availability of AWS Outposts, AWS Local Zones, and AWS Wavelength. Guest speakers include Dr. Matt Wood, of AWS; David Solomon, of Goldman Sachs; Brent Shafer, of Cerner, and Hans Vestberg, of Verizon. Launch Announcements:00:19:50 M6g, R6g, C6g EC2 instances00:23:00 Inf1 EC2 instances00:27:50 Amazon EKS on AWS Fargate00:56:50 Amazon S3 Access Points01:03:30 Amazon Redshift RA3 instances01:06:45 AQUA (Advanced Query Accelerator) for Amazon Redshift01:11:05 UltraWarm for Amazon Elasticsearch Service01:16:50 Amazon Managed Apache Cassandra Service01:36:00 Amazon SageMaker Studio01:37:20 Amazon SageMaker Notebooks01:38:30 Amazon SageMaker Experiments01:40:10 Amazon SageMaker Debugger01:42:55 Amazon SageMaker Model Monitor01:45:40 Amazon SageMaker Autopilot01:55:20 Amazon Fraud Detector01:58:40 Amazon CodeGuru02:05:55 Contact Lens for Amazon Connect02:09:15 Amazon Kendra02:16:30 General availability of AWS Outposts02:23:20 AWS Local Zones02:31:55 AWS Wavelength Guest speakers include:01:48:00 Dr. Matt Wood, of AWS00:30:40 David Solomon, of Goldman Sachs01:21:35 Brent Shafer, of Cerner02:26:20 Hans Vestberg, of VerizonLearn more about AWS at - https://amzn.to/2OPqk0FNote: Amazon EKS for AWS Fargate is the proper term @ 00:27:58Awaken Your DataPower your workloads on AWS with the latest 2nd Gen Intel Xeon Scalable processors featuring built-in AI acceleration. On-demand viewing of the Keynote sponsored by Intel. Visit: https://youtu.be/MIv32gcwOQM

Werner Vogels, CTO of Amazon.com, delivers his AWS re:Invent 2019 keynote. Watch as pulls back the covers to talk about the innovations behind AWS Nitro, Firecracker, AWS Fargate, Amazon EBS and more. This year's featured guests include Clare Liguori, Principal Software Engineer at AWS - who goes deep on AWS Fargate and how we've built this to give customers a truly unique customer experience – as well as Jeff Dowds, IT Executive at Vanguard, Sebastien de Halleux, COO of Saildrone and Dr. Martin Hofmann, Group CIO of Volkswagen automotive group.In this keynote you'll also hear more about the launch of the Amazon Builders' Library: https://aws.amazon.com/builders-library/And Werner's video series, 'Now Go Build': https://aws.amazon.com/startups/NowGoBuild/01:10:26 A special thanks for the satellite imagery provided by AWS customer Maxar: https://bit.ly/33VJG8i

Watch Peter DeSantis, VP, AWS Global Infrastructure and Customer Support, deliver the Monday Night Live keynote, featuring Cris Collinsworth from PFF, Rob Smedley with Formula 1 and Daphne Koller, from Insitro. Learn more about re:Invent at - https://amzn.to/2DJJHmz.00:00:53 Cris Collinsworth from PFF00:32:48 Rob Smedley with Formula 1 01:03:24 Daphne Koller, from Insitro

Watch the Global Partner Keynote with Doug Yeum, Head of Worldwide Channels & Alliances, AWS. Featured Guests: - Andy Jassy, CEO, AWS, Stewart Fry, Vice President, CIO Global Enterprise Systems, BP, Chris Cerruto, Vice President, Global Architecture and Analytics & BI, Avis Budget Group, Dave McCann, VP, Migration, Marketplace & Control Services, and Sandy Carter, Vice President, Worldwide Public Sector Partners & Programs, AWS.

Many machine learning (ML) applications require humans to review for labeling or moderation of nuanced content, which can result in low confidence predictions to ensure the correct results. But building human review systems can be time-consuming and expensive. Amazon Augmented AI (A2I) makes it easy to build and manage human reviews for ML applications through built-in workflows for common ML use cases, such as content moderation (with Amazon Rekognition) and text extraction (with Amazon Textract). You can create workflows for custom ML models or those built on Amazon SageMaker. In this session, learn about Amazon A2I and how to use it. Then hear from VidMob about how they plan to use Amazon A2I to quickly optimize and fine-tune video analytics models.

In this session, come see how AWS Wavelength brings services such as Amazon EC2 and Amazon ECS to the edge of 5G mobile networks. This enables developers to build applications that reach 5G connected devices with single-digit millisecond latencies using familiar AWS APIs and development processes. This session provides an overview of typical application architectures that benefit from low-latency compute. We also dive deep into how Bethesda Softworks, a video game publisher best known for iconic franchises like The Elder Scrolls, Fallout, and DOOM, is using AWS Wavelength to greatly enhance the experience of streaming video games. You learn how to use AWS in the 5G network edge to build applications that require ultra low-latency such as game streaming, AR/VR, IoT, and analytics.

Quantum computing has the potential to solve computational problems that are beyond the reach of classical computers. Amazon Braket and the Amazon Quantum Solutions Lab help customers explore quantum computing, evaluate its potential, and develop expertise. Amazon Braket is a managed service that provides customers access to quantum computing resources and makes it easy to build, simulate, and test quantum computing applications. The Quantum Solutions Lab connects customers with quantum experts for education and collaboration. In this session, learn about the potential of quantum computing and how you can get started with the Amazon Braket service and the Quantum Solutions Lab.

In this session, learn about EC2 Image Builder, a new capability that makes it easier and faster to build and maintain secure images. Keeping server images up-to-date can be time-consuming, resource-intensive, and error-prone. Currently, customers either manually update and snapshot VMs or have teams that build automation scripts to maintain images. Learn how EC2 Image Builder simplifies the creation, patching, testing, distribution, and sharing of Linux or Windows Server images.

Containerized applications, especially those using modern micro-service architectural patterns, are often robust to interruption and unexpected termination of individual containers. For this reason, containerized applications are a good fit for EC2 Spot and Fargate Spot. With minimal modifications, many containerized applications can run some or even all of their containers as-is on Spot at substantially lower cost. In this session we discuss the design decisions and best practices for utilizing EC2 Spot and Fargate Spot with modern containerized applications.

Fargate is a serverless compute engine for containers that supports multiple orchestrators. Come to this session to learn how the new integration between EKS and Fargate allows developers to deploy containers on a kubernetes cluster without thinking about infrastructure.

Learn how you can use Amazon RDS to create and manage databases running on-premises on AWS Outposts or VMware vSphere environments. AWS Outposts bring native AWS services, infrastructure, and operating models to virtually any data center, co-location space, or on-premises facility. We cover how you can use the same RDS capabilities that you use today on the cloud to easily set up, operate, scale, and manage databases running on AWS Outposts and VMware vSphere environments in your data centers. Amazon RDS automates time-consuming administrative tasks such as database setup, patching, backups, and restore in your on-premises environments. See how Amazon RDS makes it seamless to create, monitor, and manage databases running across your data centers and the cloud.

AWS Network Manager is a new service that enables customers to centrally manage and monitor their global networks across AWS and their on-premises environments. Network Manager reduces the operational cost and complexity involved with visualizing and troubleshooting connectivity across remote locations, third-party network appliances, and cloud resources. Come to this session to learn more about this new service and how it integrates with AWS Transit Gateway, AWS Direct Connect, and AWS Site-to-Site VPNs.

The transition from on premises to the cloud, centralized to microservices-based architectures, and IT to DevOps has resulted in three trends: an exponential growth in machine-generated data, the increasing need for near real-time monitoring and interactive analytics of that data, and democratized access to that data to derive actionable insights by anyone, anywhere, and anytime in a secured manner. In this talk, we discuss how Amazon Elasticsearch Service provides a secure, scalable, and cost-effective log analytics solution.

Amazon Redshift continues to change the scale and economics of data warehousing. Learn more about announcements from the keynote and how they enable you to scale cost-effectively across diverse data warehouse workloads. We break down the benefits of the new Amazon Redshift RA3 instances and share real-world examples from the preview. You see how the new console and innovations like Amazon Redshift Federated Query and Data Lake Export enable you to bring together all your data, and you learn more about AQUA (Advanced Query Accelerator) for Amazon Redshift.

Even for the most seasoned engineers, it can be difficult to detect some types of code issues and challenging to identify the most expensive lines of code without performance engineering expertise. Amazon CodeGuru is a new machine learning service that helps you catch code issues faster and improve application performance. In this session, you get the details and a demo on how CodeGuru works. CodeGuru reviews Java code in your GitHub and AWS CodeCommit source code repositories, and it profiles your applications and searches for optimizations even in production. It also provides intelligent recommendations so that you can take action immediately to fix and improve code issues and inefficiencies.

AWS Identity and Access Management Access Analyzer is a new capability for security teams and administrators to validate that resource policies only provide the intended public and cross-account access. IAM Access Analyzer uses automated reasoning, which applies logic and mathematical inference to inspect resource policies. We will demonstrate how to use IAM Access Analyzer to identify resource policies that don't comply with your organization's security requirements and then proactively protect resources from unintended access. Learn how Millennium Management uses IAM Access Analyzer across their company to analyze policies associated with Amazon S3 buckets, AWS KMS keys, and more.

Amazon Detective makes it easy to investigate, analyze, and quickly identify the root cause of potential security issues or suspicious activities. Amazon Detective automatically collects log data from your AWS resources and uses machine learning, statistical analysis, and graph theory to help you visualize and conduct faster and more efficient security investigations. Amazon Detective is integrated with AWS security services such as Amazon GuardDuty and AWS Security Hub as well as AWS partner security products. In this session, we also demonstrate Amazon Detective and provide a walkthrough of how to investigate a security finding.

Artificial intelligence (AI) is reshaping the Healthcare industry. In this session, learn how automatic speech recognition and natural language processing services can be used to build powerful solutions that revolutionize the way medical information is collected, analyzed, and consumed by various stakeholders across the Healthcare ecosystem. From clinical documentation workflow and pharmacovigilance to telemedicine and revenue cycle management, AI services are driving changes that not only enhance Healthcare professionals' efficiencies, but also improve the overall quality of patient care.

Machine learning (ML) is a complex, iterative, often time-consuming process. One difficult aspect is the lack of integration between the workflow steps and the tools to accomplish them. Join us as we introduce Amazon SageMaker Studio, the first full integrated development environment (IDE) for ML that makes it easy to build, train, tune, debug, deploy, and monitor ML models at scale. It pulls together the ML workflow steps in a unified, visual interface-since they're performed and tracked within one environment, the non-linear and iterative nature of ML development is greatly simplified. You can quickly move between steps, compare results and adjust inputs and parameters, and iterate faster with Amazon SageMaker Studio.

Typical approaches to automatic ML don't provide insights into the data or logic used to create models, forcing you to compromise on accuracy. Join us as we introduce Amazon SageMaker Autopilot, an automated capability that generates ML models and provides complete control and visibility of them. Learn how Autopilot automatically inspects raw data, picks the best set of algorithms, trains multiple models, tunes them, and ranks them based on performance. The result is a recommendation for the best performing model and visibility into the logic and code for how the model was created and what's in it. Autopilot offers the best combination of automatic model creation with control and visibility.

During ML model training, it's challenging to ensure that models are progressively learning the correct values for different parameters and to analyze and debug model characteristics without building additional tools, making the process time-consuming and cumbersome. Come learn about Amazon SageMaker Debugger, a new capability that provides complete insights into the training process by automating data capture and analysis from training runs without code changes. Learn how you can analyze data using the Amazon SageMaker Studio visual interface and be alerted when anomalies and errors are detected, reducing the time needed to debug models from days to minutes. Amazon SageMaker Debugger helps you solve problems quickly, reduce troubleshooting time during training, and build high-quality models.

Typically, starting notebooks requires spinning up compute instances, and there was previously no easy way to share and collaborate without tracking dependencies and other restrictions. Join us as we introduce the new Amazon SageMaker notebooks experience, which allows you to access notebooks in seconds without spinning up compute instances. The elastic notebooks allow you to easily scale compute up or down, and the changes take place automatically without interrupting your work. You can share notebooks by automatically reproducing the environment and library dependencies without manually tracking them so others can reproduce the results with the same data. With this new experience, you can build models faster and collaborate at scale.

Successful machine learning models are built on high-quality training datasets. Typically, the task of data labeling is distributed across a large number of humans, adding significant overhead and cost. This session explains how Amazon SageMaker Ground Truth reduces cost and complexity using techniques designed to improve labeling accuracy and reduce human effort. We walk through best practices for building highly accurate training datasets and discuss how you can use Amazon SageMaker Ground Truth to implement them.

National Australia Bank (NAB) has more than 160 years of customer and banking data at its disposal. But the bank faced the challenge of harnessing this asset to enable its contact-center team to provide rapid and engaging experiences to its customers while maintaining their privacy and security. Come learn how NAB lowered operational costs and transformed customer experience by transitioning hundreds of retail, corporate, and institutional contact-center professionals to Amazon Connect. This session also shares NAB's approach to building a centralized enterprise data lake and applying machine learning to further engage customers and drive the bank's multichannel strategy.

If you want to use cloud storage, but still have applications in a data center, or remote field operations that require computing and storage capabilities, this session is for you. In it, we explain the services that can make AWS storage a seamless extension of your existing on-premises infrastructure and application investments to support business operations almost anywhere in the world. Get educated on the continuum of capabilities that you can choose to bring to your site, including AWS Outposts storage options, AWS Storage Gateway, AWS Snowball Edge, Amazon S3 Transfer Acceleration, and more.

In this session, JPMorgan Chase, one of the leading global financial institutions in the world, talks about unlocking adoption across its enterprise of 50,000 developers and its application estate. Learn how JPMorgan Chase embraced "cloud parties," shifted to a focus on patterns from a focus on service enablement, and leveraged CI/CD tools to move 50+ workloads to production in three weeks. We discuss how JPMorgan Chase achieved this speed and scale across several lines of business in collaboration with engineering teams across disciplines, while maintaining the controls required to operate within a highly regulated environment.

Many organizations still have data they want to move to AWS, and have disconnected, remote field operations that require local computing capabilities. The AWS Snow family-AWS Snowball, AWS Snowball Edge, and AWS Snowmobile-helps you move large quantities of data offline and enables data processing and storage at edge locations when network capacity is constrained or nonexistent. This session provides an update on the Snow family and dives into the operational details of migrating data and how to build edge computing architectures with Snowball Edge. Learn when and how to use the service for your migration and computing needs.

Amazon SageMaker, a fully managed service for machine learning, offers several compute capabilities and instance types to meet the needs of your use case. In this session, we review the compute options available to you, including GPUs, CPUs, AWS Inferentia, Amazon SageMaker Neo, and Amazon Elastic Inference. We discuss best practices and key criteria to choose the right capabilities that meet the specific needs of your machine learning workload.

Goldman Sachs Global Investment Research division provides investment insights and ideas to clients around the world on a 24/7 basis, which requires a highly secure, scalable, and resilient environment. To re-architect its critical research platform to become a cloud-native application, the team developed a hybrid, container-based migration approach using AWS Fargate, Amazon API Gateway, Amazon MSK, and AWS Lambda that is underpinned by a secure sandboxed environment called SkyLab. In this session, learn how Goldman Sachs rapidly scaled its use of containers, changed its culture to embrace experimentation and fast failure, and adopted DevOps capabilities, including infrastructure as code, canary deployment, and zero-production access.

IT operations teams are asked by business stakeholders to store more data for backup, archiving, and compliance reasons, often with less budget and fewer people. If you face this challenge, see how AWS Storage Gateway's tape-gateway configuration shifts tape backups and archives to AWS. This enables you to use the lowest-cost storage in the cloud for backups-without changing workflows or applications. Learn how tape gateways work, hear from an AWS customer how and why they are using one, and see a demonstration. Gain understanding of the business-case and deployment steps to move your tape backups to AWS.

Earlier this year, Nasdaq embarked on a strategy to migrate its growing 68-node Amazon Redshift data warehouse to a more modern data lake architecture with the goal of better managing expenses and taking advantage of additional analytical services. In this session, we share the path Nasdaq took, what worked well, what challenges we encountered, and how and why we had to rewrite queries and rethink our initial strategy. In completing this migration, Nasdaq reduced the cost of its existing data warehouse environment while providing a more cost-effective, scalable, and elastic platform to its business.

Want to learn how to easily take advantage of cloud-native services for existing file-based applications? In this session, we explore how you can use AWS services to easily and cost-effectively load, store, and protect your file-based workloads in the cloud. We dive deep into native features of services such as Amazon EFS-specifically, lifecycle management and provisioned throughput for Linux workloads-and native Active Directory integration for Amazon FSx for Windows File Server, we review how to configure backups with AWS Backup and other storage services, and we show you how to quickly migrate your datasets to the cloud using AWS DataSync and AWS Snowball..

Based on the same technology used at Amazon.com, Amazon Forecast uses machine learning and time-series data to build accurate business forecasts. In this session, learn how machine learning can improve accuracy in demand forecasting, financial planning, and resource allocation while reducing your forecasting time from months to hours.

Barclays has created a research data platform using AWS services to analyze and extract insights from third-party datasets. The solution provides data scientists with the ability to securely import large amounts of data and provision resources to quickly execute public and privately developed Python models running on Spark clusters. Attendees learn how Barclays overcame the challenges it faced on-premises of long lead times securing infrastructure, on-demand elastic job processing, and a lack of available capabilities for automation and tooling. The solution directly benefits the business by providing a new capability to extract market insights from datasets at a greater velocity than previously possible.

Effective cost optimization across Amazon S3 storage classes can require different approaches, depending on application latency and access patterns. In this session, we review key cost optimization guidelines for storing data in both synchronous and asynchronous storage classes. We also share design patterns for common Amazon S3 workloads to help you optimize for cost while meeting workload performance requirements.

To improve competition, regulators in regions including the UK, Mexico, Hong Kong, Singapore, and Australia have issued open banking requirements. HSBC has addressed the regulation's requirements to share customer data with third-party service providers by building a serverless architecture on AWS. This session explores how HSBC embraced APIs and built an open banking solution using AWS Lambda, Amazon API Gateway, and other AWS Managed Services, including Amazon RDS. Learn how HSBC is using AWS globally to meet open banking requirements and handle the thousands of API calls the bank receives every day.

Learn best practices for data security in Amazon Simple Storage Service (Amazon S3). In this session, we discuss the fundamentals of Amazon S3 security architecture and dive deep into the latest enhancements in usability and functionality. We also investigate options for encryption, access control, security monitoring, auditing, and remediation.

Looking to protect your company from anonymous activity and prevent bad-actor behavior? This session details how to implement a customized fraud detection and prevention solution using machine learning services, how to proactively identify these use cases, and how to implement changes to protect your enterprise and your customers.

Although this Global Partner Summit session is open to anyone, it is geared toward current and potential AWS Partner Network Partners. In this session, we review the fast-growing market opportunity to migrate and modernize Microsoft workloads on AWS. Customer demand for AWS Competency Partners with migration and modernization skills, capabilities, and service offerings is high in both mature and emerging markets. Learn key insights and best practices for building, marketing, and selling your Microsoft workload solutions and services leveraging APN Partner Programs. You also learn how to leverage the latest AWS feature releases and tools for running, migrating, managing, and modernizing Microsoft workloads on AWS. Hear about customer success stories from APN Partners around the world.

Learn best practices for Amazon Simple Storage Service (Amazon S3) security, data protection, storage management, cost optimization, and more. In this session, we look at common Amazon S3 use cases and ways to manage large volumes of data within Amazon S3. Learn more about our latest feature enhancements and how you can get started with each of them. We also talk about ways to monitor and visualize your storage environment.

Although this Global Partner Summit session is open to anyone, it is geared toward current and potential AWS Partner Network Partners. In this session, learn about how AWS Managed Service Provider (MSP) Partners are helping their customers achieve their business initiatives. We will share APN Partner and AWS customer examples and hear from AWS MSP Partner Cloudticity about best practices that enabled them to build a successful AWS MSP practice, offering proactive monitoring, automation, and management of their customers' environment. In this session, APN Partners gain a clear view of the opportunity they have to serve their AWS customers and the resources available to support them on their APN Partner journey.

Learn best practices for Amazon Simple Storage Service (Amazon S3) security, data protection, storage management, cost optimization, and more. In this session, we look at common Amazon S3 use cases and ways to manage large volumes of data within Amazon S3. Learn more about our latest feature enhancements and how you can get started with each of them. We also talk about ways to monitor and visualize your storage environment.

Although this Global Partner Summit session is open to anyone, it is geared toward current and potential AWS Partner Network (APN) Partners. In it, you learn from AWS subject matter experts and APN Partners about the steps of the APN Technology Partner journey, from onboarding to building, marketing, and selling. We share with you the markers for success along each path, programs to take advantage of, and how to accelerate your growth with AWS.

In this popular session, discover how Amazon Elastic Block Store (Amazon EBS) can optimize performance and costs for workloads on Amazon EC2, such as relational and nonrelational databases, enterprise applications, big data analytics engines, file systems, and media workflows. Learn about new capabilities with Amazon EBS, features and benefits, security techniques, and details about performance and volume types. The target audience includes security administrators, application developers, application owners, and operations personnel who build or manage application infrastructure or storage area networks (SANs).

Recommendation engines make targeted marketing campaigns, re-ranking of items, personalized notifications, and personalized search possible. In this session, we deep-dive into using Amazon Personalize to create and manage personalized recommendations efficiently, letting you focus on the real value of the data for your business. We discover how these deep learning techniques have a direct impact on the bottom line of your business by increasing engagement, click-through, satisfaction, and revenue. Learn from customer examples and dive into some live demonstrations.

Although this Global Partner Summit session is open to anyone, it is geared toward current and potential AWS Partner Network Partners. AWS provides a low-cost, reliable, and secure foundation for you to build and deliver software as a service (SaaS) solutions to customers. The AWS Partner Network (APN) helps companies build a successful AWS-based business by providing valuable business, marketing, and go-to-market (GTM) support via AWS SaaS Factory. In this session, uncover the benefits of building SaaS on AWS, unlock APN resources to guide you through the business transformation process, and understand key tactics you can incorporate into your SaaS business strategy today.

In this session, we explore the world's first cloud-scale file system and its targeted use cases. Learn about Amazon Elastic File System (Amazon EFS) features and benefits, how to identify applications that are appropriate for use with Amazon EFS, and details about the service's performance and security models. The target audience is security administrators, application developers, application owners, and infrastructure operations personnel who build or operate file-based applications or NAS.

Although this Global Partner Summit session is open to anyone, it is geared toward current and potential AWS Partner Network Partners. In this session, APN Partners learn to build ML practices, increase margins, and accelerate time-to-market by leveraging AWS's AI/ML stack depth with differentiable solutions for ML's top four use cases: personalization and recommendation engines, forecasting, computer vision, and natural language.

Do you have applications on-premises, need more storage capacity, or require low-latency access to data in Amazon S3? This session explains how to use AWS Storage Gateway in a hybrid architecture for workloads such as backup and archival, file shares for applications, accessing content in AWS, or distributed data processing and analytics. We describe representative customer implementations and dive deep into the technical capabilities and best practices for gateway deployments. Learn how you can get virtually unlimited cloud storage for your on-premises needs, reduce costs, speed up your cloud journey, and build the infrastructure for faster innovation.

Although this Global Partner Summit session is open to anyone, it is geared toward current and potential AWS Partner Network Partners. Do you want to build a stronger co-selling relationship with AWS Sales? Come hear from AWS account managers from around the globe on their tips, tricks, and experience when working with APN Partners to solve customer business needs. You will leave with an understanding of topics such as what a successful co-selling engagement looks like, do's and don'ts for joint meetings, best ways to differentiate from the tens of thousands of APN Partners, and how to leverage the APN Customer Engagements (ACE) Pipeline Manager.

Amazon FSx for Windows File Server is a service that offers fully managed native Microsoft Windows file systems on AWS. It provides the compatibility and features that your Windows-based applications rely on, including full support for the SMB protocol, Windows NTFS, and Active Directory integration, and the fast performance your Windows applications and users expect, with high levels of throughput and IOPS, and consistent sub-millisecond latencies. In this session, storage administrators and application owners learn how to deploy, scale, and use highly available, highly durable, and elastic Windows file storage integrated with their organization's existing Active Directory environments.