Building the ideal architecture
for remote and hybrid work

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100,000+ databases migrated to AWS 10,000+ data lakes and data warehouses deployed on AWS Hundreds of thousands of customers rely on AWS Databases

Event agenda

Stay tuned, more to come soon!

Event Agenda

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Event Agenda

  • Welcome to Hybrid Cloud Day

    • AWS hosts

    Keynote: AWS wherever you need it

    Presenter: Jan Hofmeyr, Vice President of EC2, AWS

    AWS delivers cloud infrastructure and services to wherever you need it. AWS provides a seamless and secure experience for customers to extend their applications from the cloud to edge locations like on-premises data centers, 5G towers, and smart factories, unconditioned environments like construction sites and oil platforms, and mobile environments like ships, airplanes, and space stations. This session will highlight how customers are building hybrid cloud architectures for high-performance, intelligent applications that collect, process, and store data close to where it’s generated, enabling use cases for ultra-low latency, data residency, disconnected and local data processing, and migration and modernization projects.

    Hybrid Cloud and Edge Computing Analyst Roundtable

    Presenters: Jan Hofmeyr, Vice President of EC2 at AWS, Melanie Posey, Research Director for the Cloud & Managed Services Transformation at 451 Research, and Tracy Woo, Senior Analyst at Forrester Research

    Learn about the global, business, and economic trends impacting hybrid cloud and edge computing with Jan Hofmeyr from AWS, Melanie Posey from 451 Research, and Tracy Woo from Forrester Research. They’ll discuss the key use cases in the space and how customers are using the cloud to overcome challenges.

  • Presenter: Chandler Hoisington, GM Kubernetes at AWS

        While migrating to AWS, you iterate on your new foundation, turn off old systems, and constantly evolve toward a modern operating model. Your operating model becomes an agile set of people, process, and technology that improves as you migrate more applications. This migration can get more complex should you have a business need to maintain a hybrid environment, while migrating and modernizing your infrastructure. Learn how you can use familiar management tools on-prem, hybrid, on edge, and in the cloud to successfully modernize your applications.


    Application Modernization for Financial Services

    Presenters: Ivonne Roberts, Software Architect at Bill.com, and AWS Serverless Hero, and Jeramiah Dooley, Senior Manager, Developer Advocacy, AWS Containers

    In this session, Ivonne Roberts, a software architect and AWS Serverless Hero with Bill.com (http://bill.com/), will review her experience modernizing monolithic applications on hybrid infrastructure. She will share how Bill.com leverages AWS’s Serverless solutions like AWS Lambda and AWS Fargate on Amazon ECS, and hybrid solutions like Direct Connect, ECS Anywhere to achieve their objectives and goals.

    Simplifying Hybrid Cloud Migration with AWS Local Zones and AWS Outposts

    Presenters: Jonah Back, Distinguished Software Engineer at LegalZoom, and Betsy Chernoff, Principal Product Marketing at AWS

    Location sensitive applications have traditionally remained on premises or in the data center to meet needs for low latency and data residency. AWS hybrid cloud solutions support the migration of these applications by bringing AWS infrastructure and services to wherever your applications need to run – at the edge, on premises, in your data center. In this session hear directly from AWS customer LegalZoom as they share their journey of migration and modernization of their location sensitive workloads to AWS hybrid cloud and edge solutions.

    CloudFront as a Stepping Stone for Public Sector Applications

    Presenters: Ben Bridts, Principal AWS Technologist at Cloudar and AWS Hero & APN Ambassador, and Jeramiah Dooley, Senior Manager, Developer Advocacy, AWS Containers

    Some Public Sector websites and applications have a dramatic difference in load between their normal operation, and what is required at peak times. For example, the website for the tax office will get the bulk of traffic the day taxes are due. In this talk, Ben Bridts will describe how they used CloudFront to capture most of the load for business-critical websites, and how adding CloudFront can be the first step in your migration journey, where it’s particular suited for piece-by-piece modernization approach.

  • Data residency fundamentals

    Presenter(s): Megan Restuccia, Sr. Hybrid Edge Specialist, Data Residency/Sovereignty Worldwide at AWS and Steve Hamilton, Business Development Manager, Digital Sovereignty of EMEA at AWS

        Sometimes, data needs to remain in a particular country, state, or municipality for regulatory, contractual, or information security reasons. Join this session to learn how AWS keeps your data safe and compliant in the cloud and how you can use the same AWS services, tools, and processes to maintain security stance, auditing, monitoring, and reporting on premises and at the edge.


    Accelerate market expansion and bring responsible gaming while meeting data residency needs

    Presenter: Shane Sweeney, Senior Vice President of Technology, FanDuel

    US regulations require that online bookmakers maintain their user data on premises within state boundaries. Learn how real money gaming operators like FanDuel, Tipico, Betsson, and Rush Street Interactive uses AWS services to deliver responsible gaming while quickly deploying production-ready instances of their iGaming applications to approved locations to comply with data residency regulations.



    Accelerate digital transformation in financial services while meeting data residency needs

    Presenter: Santiago Vazquez Freitas, Head of Enterprise Architecture, Group Technology, First Abu Dhabi Bank (FAB) and Jason Rylands, Senior GTM AWS Hybrid at AWS

    Learn how you can deliver banking, payments processing, insurance, and risk management services to customers and financial clients from in-country locations to meet data locality requirements, with real-world stories from Absa and Symetra.



    Protect sensitive healthcare information with AWS for Health

    Presenters: Mike Davis, Business Development, AWS Hybrid Edge Services

    Learn how Philips Healthcare and Bristol Myers Squibb are building and deploying applications that store, process, and transmit sensitive health-related information to be consistent with their privacy and security obligations under frameworks such as HIPAA and FedRAMP.



    How Capgemini help UK Government accelerate legacy modernization with AWS Outposts

    Presenters: Sam Price, Customer CTO, Capgemini and Martin Bishop, Chief Technologist, AWS UK Public Sector

    Learn how Capgemini has deployed AWS Outposts into the UK Government’s approved colocation facility, bringing AWS services into government private networks, and helping customers de-risk cloud migration projects.

  • Deep Dive into Hybrid Cloud and Edge Computing Hardware

    Presenters: Jeff Barr, AWS VP and chief evangelist, Channa Samynathan, Specialist Solutions Architect, IoT and Robotics at AWS, and Seibou Gounteni, Solutions Architect at AWS

    Jeff Barr, Channa Samynathan, and Seibou Gounteni will provide a hands-on look at how customers are using IoT technologies, the AWS Snow Family, AWS Outposts rack, and AWS Private 5G hardware on site at Amazon.



    How Amazon Robotics Extends the AWS Cloud to the Fulfillment Center

    Presenters: Sophie Pagalday, Senior Product Marketing Lead, AWS Robotics, Gary Galinsky, Principal Solutions Architect, WWOps at AWS, Mayur Nemade, Software Development Engineer at Amazon Robotics

    Orchestrating the movement of 10s of thousands of robotic drive units within Amazon’s fulfillment center requires real-time command-and-control—where latency can be the difference between a satisfied or unsatisfied customer. By adopting AWS Outposts, Amazon is able to extend the edge of the AWS cloud right into the fulfillment center, while achieving the low latency required to keep the robots inline. In this session, we review AWS Outposts capabilities, their specific use case managing robotic drive units, and how Amazon implements the minimized blast radius Reliability Pillar by sharing an Outposts Rack across multiple AWS Accounts.



    AWS IoT FleetWise deep dive and demo

    Presenters: Nenad Ilic, Senior Developer Advocate at AWS, Alina Dima, Senior Developer Advocate at AWS

    AWS IoT FleetWise is used by automotive customers to easily collect, transform, and transfer vehicle data to the cloud in near-real time. In this session, you’ll learn how AWS IoT FleetWise is used in the development and management of autonomous vehicles, advanced driver assistance systems, and electric vehicles and get a demo of the technology in action.

Presenters: Jesse Dougherty, Vice President, Network Edge Services at AWS, Anthony Liguori, VP and Distinguished Engineer at AWS

In today’s ever-changing digital world, end users expect web applications to have imperceptible response times, no matter the device they’re using or where they’re located. To deliver on those expectations, your organization needs a cost-effective way to develop applications with high availability, performance, and global scale. Join this session to hear Jesse Dougherty, Vice President, Network Edge Services, and Anthony Liguori, Vice President/Distinguished Engineer, EC2, walk through the various factors affecting latency and how AWS hybrid cloud and edge services can help solve those challenges.


Accelerate content delivery with CloudFront

Presenter: Chris Casey, Sr Edge Services Sales Specialist, AWS, Casey Bateman, Principal Engineer at Hudl

Hudl is a software provider that offers video and analytics platform for coaches and athletes to quickly review game footage to improve team play. Learn how Hudl built their content delivery on CloudFront to deliver to reach their global audience faster regardless of location or technology. The challenges they faced, why they came to AWS, and the benefits they’re seeing today.


How Amazon Studio and Amazon Prime achieve low latency in creating and delivering content to end users

Presenters: Bhavik Vyas, Senior Manager of Media Technology Innovation, Amazon Studio, Hector Cura, Head of Global Video Delivery, Prime Video

In this session listen to how Amazon Studios uses AWS Local Zones to run latency-sensitive workloads closer to artists, helping to deliver a seamless content-creation experience. In the second half of the session listen to Prime Video team, their use cases for Amazon CloudFront and how they deliver content to end users with securely with high performance and low latency.


Low latency and connected vehicles

Presenters: Navin Chandra Katta, Senior Product Manager at Harman International, and Bala Thekkedath, Principal Product Manager, Impact Computing at AWS

Mobile Edge Computing, with its ability to provide low latency access to compute infrastructure in the cloud, will play a significant role in the path leading to fully autonomous driving. In this session learn how AWS and Harman are working together to test multiple vehicle safety and vulnerable road user safety use cases leveraging 5G and AWS Wavelength for ultra-low latency access to compute infrastructure.

  • Bring AWS on premises for a consistent hybrid experience with AWS Outposts for local data processing

    Presenter: Mallory Gershenfeld, Senior Technical Product Manager, AWS

    Enterprises are adopting the cloud at a rapid pace to reduce costs, become more agile, and innovate faster. While most workloads can be easily migrated to the cloud, some workloads remain on premises or in edge nodes due to low-latency, local data processing, or data residency requirements. With AWS Outposts and S3 on Outposts, you can bring native AWS infrastructure, services, APIs, and tools on premises to deliver a truly consistent hybrid experience. In this session, we’ll demonstrate how to run a computer vision model on premises, using AWS Panorama running on EC2 on the Outposts, and how to save the inferenced photos locally to S3 on Outposts.


    Unlocking IoT benefits across different layers of the edge

    Presenters: Tanmoy Sen – Senior Technical Product Manager at AWS; Jey Jeyasingam – CTO of Tyman UK & Ireland; Julie Zhao – Senior Product Manager at AWS; Kyrre Tømmerberg –Technology Director of Digital Production at Yara International; Kiel Ronning – Industry 4.0 Lead at John Deere; Tracy Schrauben– Manager of Manufacturing Emerging Technologies at John Deere

    IoT solutions can offer critical actionable insights that drive operational efficiencies in factories, manufacturing plants, oil fields, agricultural devices, and many more applications. However, the success of IoT solutions depends on enabling your edge devices to securely collect, process, and visualize data in near real-time. In this session, you will learn how AWS has unlocked IoT benefits across various layers of the edge — from microcontrollers to the cloud. Learn how Tyman International secured efficiencies at scale while reducing product lifecycle risks, how Yara International makes strides in sustainable global agriculture with IoT-accelerated innovation, and how John Deere mirrors real-world physical locations virtually with digital twins for precision agriculture and to optimize manufacturing operations.

    Process data locally at the rugged and mobile edge using AWS Snow Family

    Presenters: Nits Jeganathan, Senior Technical Product Manager at AWS, Akhil Gokul, Vice President, Product Management at JMA Wireless, and Patrick Stoklasa, CTO at CloudRail

    AWS Snow Family enables customers to deploy AWS-based solutions to capture, transform, and move data from the rugged and mobile edge to the cloud. We think of the rugged and mobile edge as locations with denied, disrupted, intermittent, and limited (DDIL) connectivity, such as construction sites, oil platforms, or mobile environments such as ships, autonomous vehicles, airplanes, space stations, and rapidly deployed military forces. In this session, you will learn how telecommunications and manufacturing customers operating in DDIL environments effectively process data locally at the edge for real-time insights.


  • Presenter: Elias Khnaser, Chief of Research at EK Media Group

    In this session, the AWS hosts will speak with Elias Khnaser from EK Media Group to recap how the hybrid cloud technologies and use cases come together. They’ll highlight their favorite stories and moments from the day, and where to get more information about the services, use cases, and customers from the event.

Event Agenda

  • Track2 Session 1
  • Track3 Session 1
  • Track4 Session 1
  • Track5 Session 1
  • Track6 Session 1
  • Track7 Session 1
  • Track8 Session 1
  • Track9 Session 1
  • Track10 Session 1

8:00 AM – 10:00 AM PT | 11:00 AM - 1:00 PM ET

Lab: Microservice Extractor for .NET

Level: 300

Description: AWS Microservice Extractor for .NET simplifies the process of refactoring applications into independent services. Modernize and transform your applications with an assistive tool that analyzes source code and runtime metrics to create a visual representation of your application and its dependencies. AWS Microservice Extractor for .NET delivers a holistic visualization of applications and assists in code refactoring and extraction of the codebase into separate code projects that teams can develop, build, and operate independently to improve agility, uptime, and scalability.

• This workshop will guide you through a step-by-step process of extracting an independent service from a monolithic ASP.NET application.
• You will use AWS Microservice Extractor to visualize, group and extract parts of the monolith as a separate service.
• The workshop expects that participants have an introductory knowledge of C# and Visual Studio.

Presenters:

• Craig Bossie, Senior Microsoft Specialist Solutions Architect, AWS
• Runeet Vashisht, Senior Solutions Architect, Microsoft Workloads, AWS



10:00 AM – 11:00 AM PT | 1:00 PM - 2:00 PM ET

Presentation: Plan, Migrate and Modernize your Microsoft Workloads on AWS

Level: 300

Description: Customers have been running their Microsoft workloads on AWS for over 12 years, longer than any other cloud provider. Today, over 300,000 customers trust AWS with their Microsoft workloads. Over the years, AWS programs have helped our customers achieve substantial business benefit by providing an approach and investments to accelerate, reduce risks, and offset costs when migrating workloads to AWS. In this session, we’ll overview the typical journey Windows workloads take when moving to AWS; including the planning, tooling, and guidance that AWS can provide.

Presenter:

• Eric Cyffka, EC2 Windows Migration & Modernization Programs Manager, AWS

8:00 AM – 10:00 AM PT | 11:00 AM - 1:00 PM ET

Lab: Microservice Extractor for .NET

Level: 300

Description: AWS Microservice Extractor for .NET simplifies the process of refactoring applications into independent services. Modernize and transform your applications with an assistive tool that analyzes source code and runtime metrics to create a visual representation of your application and its dependencies. AWS Microservice Extractor for .NET delivers a holistic visualization of applications and assists in code refactoring and extraction of the codebase into separate code projects that teams can develop, build, and operate independently to improve agility, uptime, and scalability.

• This workshop will guide you through a step-by-step process of extracting an independent service from a monolithic ASP.NET application.
• You will use AWS Microservice Extractor to visualize, group and extract parts of the monolith as a separate service.
• The workshop expects that participants have an introductory knowledge of C# and Visual Studio.

Presenters:

• Craig Bossie, Senior Microsoft Specialist Solutions Architect, AWS
• Runeet Vashisht, Senior Solutions Architect, Microsoft Workloads, AWS



10:00 AM – 11:00 AM PT | 1:00 PM - 2:00 PM ET

Presentation: Plan, Migrate and Modernize your Microsoft Workloads on AWS

Level: 300

Description: Customers have been running their Microsoft workloads on AWS for over 12 years, longer than any other cloud provider. Today, over 300,000 customers trust AWS with their Microsoft workloads. Over the years, AWS programs have helped our customers achieve substantial business benefit by providing an approach and investments to accelerate, reduce risks, and offset costs when migrating workloads to AWS. In this session, we’ll overview the typical journey Windows workloads take when moving to AWS; including the planning, tooling, and guidance that AWS can provide.

Presenter:

• Eric Cyffka, EC2 Windows Migration & Modernization Programs Manager, AWS

8:00 AM – 10:00 AM PT | 11:00 AM - 1:00 PM ET

Lab: Microservice Extractor for .NET

Level: 300

Description: AWS Microservice Extractor for .NET simplifies the process of refactoring applications into independent services. Modernize and transform your applications with an assistive tool that analyzes source code and runtime metrics to create a visual representation of your application and its dependencies. AWS Microservice Extractor for .NET delivers a holistic visualization of applications and assists in code refactoring and extraction of the codebase into separate code projects that teams can develop, build, and operate independently to improve agility, uptime, and scalability.

• This workshop will guide you through a step-by-step process of extracting an independent service from a monolithic ASP.NET application.
• You will use AWS Microservice Extractor to visualize, group and extract parts of the monolith as a separate service.
• The workshop expects that participants have an introductory knowledge of C# and Visual Studio.

Presenters:

• Craig Bossie, Senior Microsoft Specialist Solutions Architect, AWS
• Runeet Vashisht, Senior Solutions Architect, Microsoft Workloads, AWS



10:00 AM – 11:00 AM PT | 1:00 PM - 2:00 PM ET

Presentation: Plan, Migrate and Modernize your Microsoft Workloads on AWS

Level: 300

Description: Customers have been running their Microsoft workloads on AWS for over 12 years, longer than any other cloud provider. Today, over 300,000 customers trust AWS with their Microsoft workloads. Over the years, AWS programs have helped our customers achieve substantial business benefit by providing an approach and investments to accelerate, reduce risks, and offset costs when migrating workloads to AWS. In this session, we’ll overview the typical journey Windows workloads take when moving to AWS; including the planning, tooling, and guidance that AWS can provide.

Presenter:

• Eric Cyffka, EC2 Windows Migration & Modernization Programs Manager, AWS

Track2 Session 1

Migrate your Oracle and SQL Server databases to

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track3 Session 1

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Track7 Session 1

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Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track8 Session 1

Tab 8 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track9 Session 1

Tab 9 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Track10 Session 1

Tab 10 content

Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. Amazon RDS is a fully managed relational database service that you can use to run your choice of database engines including open source engines, Oracle, and SQL Server in the cloud. Amazon RDS automates time-consuming database administration tasks and adds capabilities such as replication and Multi-AZ failover to make your database deployments more scalable, available, reliable, manageable, and cost-effective. This session covers why you should consider moving your on-premises Oracle & SQL Server deployments to Amazon RDS and the tools to get started.

Multiple City Registration

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Venue

The Meteropolitian
233 south wacker drive, 67th floor, Chicago, Illinois 60606

Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic

Session Proficiency Levels Explained

  • Level 100

    Introductory

    Sessions will focus on providing an overview of AWS services and features, with the assumption that attendees are new to the topic

  • Level 200

    Intermediate

    Sessions will focus on providing best practices, details of service features and demos with the assumption that attendees have introductory knowledge of the topics

  • Level 300

    Advanced

    Sessions will dive deeper into the selected topic. Presenters assume that the audience has some familiarity with the topic, but may or may not have direct experience implementing a similar solution

  • Level 400

    Expert

    Sessions are for attendees who are deeply familiar with the topic, have implemented a solution on their own already, and are comfortable with how the technology works across multiple services, architectures, and implementations

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Over the past 20 years, Amazon has delivered many world firsts designed to break down barriers across each step of the machine learning (ML) lifecycle including the launch of Amazon SageMaker in 2017. Today, customers can prepare data and build, train, and deploy ML models for any use case using fully managed infrastructure, tools, workflows, AutoML, and no-code capabilities. They can also use AI services to improve business outcomes with ready-made intelligence for applications and workflows based on the same technology used to power Amazon’s own businesses. From startups to enterprise, customers are using AWS to harness the power of data with machine learning and, in many cases, changing the way we live for the better by launching ML applications to support sustainability and accessibility worldwide.


AWS is hosting a celebration on October 25, 2022 to toast key AI/ML milestones over the past 20 years. Hear stories from customers including Inspire, Mueller Water Products, ResMed, and Siemens Energy who show what’s possible using ML especially for sustainability and accessibility challenges.


Also hear from special guest, Professor Michael Jordan, who will talk about the decision-making side of machine learning spanning computational, inferential and economic perspectives.


Be among the first 1,500 people to sign up for the virtual celebration on October 25, 2022 <Tabatha to add link – do we advertise that it will be on all the streaming channels? > and received $25.00 of AWS credits.

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About the event

Today, millions of customers are moving to the cloud faster than ever before, benefiting from fully-managed, cost efficient, secure, and scalable services. Some workloads need all the benefits of the cloud, but can’t be easily moved due to requirements for low latency, data residency, local data processing, or complex application interdependencies. In this event, learn how AWS is reinventing hybrid cloud and edge computing by extending AWS infrastructure, services, APIs, and tools wherever you need them—from the cloud, to on-premises data centers, large metro areas and 5G networks, IoT devices in smart buildings and factories, and beyond.

What you will learn

Attend the AWS Hybrid Cloud Day virtual event on October 6, 2022, hosted on the AWS channel on Twitch, where we’ll dive into how customers are using AWS hybrid cloud technologies, optimizing productivity, and driving innovation for their customers.

Featured Speakers

  • Michael I. Jordan, Professor, University of California, Berkeley

    Michael Irwin Jordan is an American scientist, professor at the University of California, Berkeley and researcher in machine learning, statistics, and artificial intelligence. Jordan was elected a member of the National Academy of Engineering in 2010 for contributions to the foundations and applications of machine learning. He is one of the leading figures in machine learning, and in 2016 Science Magazine reported him as the World's Most Influential Computer Scientist.

  • Dr. Bratin Saha, Vice President of Machine Learning and AI Services, AWS

    Dr. Bratin Saha, a graduate of Harvard Business School and Yale University, has a proven track record of delivering innovative products and growing some of the world's largest technology companies including Intel, NVIDIA, and Amazon. He has developed product innovations, including those that have won CES Innovation Awards, been awarded over 100 patents, and published 30+ research papers in journals and international conferences.

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

  • Raju Gulabani, VP of Databases, Analytics & AI, AWS

    Raju Gulabani is VP of Databases, Analytics & AI within AWS at Amazon.com. He is responsible for P&<, product management, engineering and operations for Database services such as Amazon Aurora and Amazon DynamoDB, and Analytics services such as Amazon Redshift and Amazon EMR, as well as AI services like Amazon Lex, Amazon Polly, and Amazon Rekognition. Prior to joining Amazon in his current position in 2010, Raju spent four years at Google and built the Google Apps business (now known as G Suite).Earlier in his career, Raju founded an Intel backed Wi-Fi Voice over IP company as well as held engineering management positions at Microsoft.

  • Ryan Kelly, Data Architect, Equinox

    Ryan Kelly is a data architect at Equinox, where he helps outline and implement frameworks for data initiatives. He also leads clickstream tracking which helps aid teams with insights on their digital initiatives. Ryan loves making it easier for people to reach and ingest their data for the purposes of business intelligence, analytics, and product/service enrichment. He also loves exploring and vetting new technologies to see how they can enhance what they do at Equinox

  • Richard Boyd, Cloud Data Engineer, iRobot

    Richard Boyd is a cloud data engineer with the iRobot Corporation’s Cloud Data Platform where he builds tools and services to support the world’s most beloved vacuum cleaner. Before joining iRobot, Richard built discrete event simulators for Amazon’s automated fulfillment centers in Amazon Robotics. His previous roles include cyber warfare systems analyst at MIT and research for the Center for Army Analysis. He holds advanced degrees in Applied Mathematics & Statistics.

Customer Highlights

Epic Logo Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Epics Games

Yelp Logo Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Yelp

Airbnb Logo Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Airbnb

Lyft Image

Epics Games’ entire analytics platform runs on AWS. Billions of game events, like player interactions on the map, their accuracy, damage taken and dealt, and what resources they are using are all sent to AWS.

Lyft

FAQS


Q: Where is this event?

A: This event is an online event, hosted by AWS on the Twitch platform.

Q: Who should attend this event?

A: Anyone who is eager to learn more about hybrid cloud, edge computing, IoT, networking, content delivery, and 5G. We'll cover how you can support applications that need to remain on premises or at the edge due to low-latency, local data processing, or data residency requirements.

Q: How much does this event cost?

A: There is no cost to attend this event.

Q: What are the prerequisites before attending the event?

A:There are no prerequisites for attending the event. We encourage attendees to browse the Hybrid Cloud and Edge pages on the AWS website to get a brief overview of the services available to them.