Register now


The first 1,000 registrants will receive a free digital copy of the Amazon DynamoDB book by AWS Data Hero Alex DeBrie. Look out for this via email, after the event is over!

About the Event

Join us and learn how customers have used DynamoDB to build some of the world’s most demanding applications over the last ten years!


“We want you to think big, to dream big dreams, and to envision (and then build) data-intensive applications that can scale from zero users up to tens or hundreds of millions of users.” – AWS News Blog announcing launch of DynamoDB (January 18, 2012)


When DynamoDB launched in 2012, AWS set out to make it easy for customers to store data efficiently at any scale, and with predictable performance by using a fully managed service.

Over the last ten years, customers like Zoom, Disney+, Snapchat, Dropbox, The Pokémon Company, and Mercado Libre—leaders in their industries with millions of customers—have used DynamoDB to build some of the world’s most demanding applications.

Learn about a decade of customer innovation with DynamoDB. Join us on Twitch for a virtual day of educational sessions, product demos, and roundtable discussions with AWS leaders.

Event Agenda

Note: Session times are from live version of event
Sprint Week -
  Day 1 - Day 2 - Day 3 - Day 4 -
1pm - 2pm ET

2pm - 3pm ET
3pm - 4pm ET

Event Agenda

Note: Session times are from live version of event
  • 10:00am-10:30am PT  |  1:00pm-1:30pm ET

    DynamoDB Hero stories: AWS VP and Chief Evangelist Jeff Barr chats with AWS Data Hero Alex DeBrie and AWS Serverless Hero Jeremy Daly

    Join Jeff as he speaks with AWS Heroes Alex and Jeremy to talk about how they got started with DynamoDB. You'll learn about some of their favorite use cases and projects they've built, what they still want to learn, and the top pro tips they want to share with others who are just getting started.
  • 10:30am-11:50am PT  |  1:30pm-2:50pm ET

    DynamoDB Customer stories featuring SmugMug and Dropbox

    Hear from SmugMug and Dropbox on how DynamoDB helped them build success for their businesses through innovation. We’ll have a Q&A with SmugMug CEO Don MacAskill, one of our first DynamoDB customers, who will explain how SmugMug switched from a relational database to DynamoDB to modernize their data infrastructure. Anirudh Jayakumar, Senior Software Engineer from Dropbox will share how his team saved millions by building their scalable metadata store using DynamoDB and Amazon S3.
  • 11:50am-12:20pm PT  |  2:50pm-3:20pm ET

    Getting started with Amazon DynamoDB with Specialist Solutions Architect, Shwetang Oza “Oza”

    If you’re just getting started with DynamoDB, join us to learn about the core features and capabilities of DynamoDB, as well as how it integrates with other AWS services including AWS Lambda and Amazon API Gateway. We’ll discuss some of the key benefits including replication across AWS Regions, continuous backup and restore, paying only for what you use, and the new Standard-IA table class that helps reduce costs by up to 60 percent for infrequently accessed data.
  • 12:20pm-1:20pm PT  |  3:20pm-4:20pm ET

    Evolution of DynamoDB: A roundtable discussion featuring AWS and DynamoDB senior leaders about the past, present, and insights for the future

    Hear from past and present DynamoDB leaders AWS VP Swami Sivasubramanian, VP Tony Petrossian, and DynamoDB General Manager Colin Lazier discuss more about how DynamoDB started, the innovations they helped drive for customers, some of the challenges they faced, and their insights helping to drive the future of the service.
  • Deep dive technical sessions

  • 1:20pm-2:20pm PT  |  4:20pm-5:20pm ET

    Why data modeling is critical for success with AWS Data Hero Alex DeBrie

    DynamoDB expert Alex DeBrie talks about what you need to know to be successful as you plan and design your data model to support your access patterns. You’ll learn about the information to gather and factors to consider. He’ll also review which types of access patterns you should model first and which ones can wait for later in the process. This session will help you build a better understanding of access-first design with DynamoDB.
  • 2:20pm-3:05pm PT  |  5:20pm-6:05pm ET

    DynamoDB is the perfect database for your serverless applications with AWS Serverless Hero Jeremy Daly

    Join Jeremy as he explains how DynamoDB is the perfect data companion for your serverless applications. He’ll review how to integrate DynamoDB into your serverless projects and how it helps mitigate the scaling and concurrency issues commonly found when using relational databases. He’ll also discuss some security best practices to implement the principle of least privilege. Finally, he’ll talk about the benefits of DynamoDB when it comes to stack isolation, allowing you to create isolated datasets during your development and deployment workflows.
  • 3:05pm-3:50pm PT  |  6:05pm-6:50pm ET

    DynamoDB Office Hours: Live Q&A with DynamoDB Solution Architects, Product Managers, and Product Engineers

    Get your DynamoDB questions answered by our experts. Join us and bring your technical questions about the features and capabilities of DynamoDB, or listen in to learn more about the service. We’ll have DynamoDB Solutions Architects, Product Managers, and Product Engineers ready to answer them in real-time, and your question might be featured during the live broadcast.

Event Agenda

  • Keynote
  • Infrastructure Protection
  • Threat Detection & Incident Response
  • Identity
  • Data Protection
  • GRC
  • Track7 Session 1
  • Track8 Session 1
  • Track9 Session 1
  • Track10 Session 1

Keynote

AWS Security: Where we are, where we're going, and best practices

AWS CISO, Steve Schmidt, talks about the latest updates from AWS Security, looks to the horizon in cybersecurity, and shares Top 10 Security tips to help improve your account in 2022.

Infrastructure Protection

Builders patching at scale: It doesn't have to be hard

Patching is rarely an easy thing, and patching a heterogeneous environment is even more difficult. However, with AWS Systems Manager Patch Manager, you can automate patching across multiple types of operating systems (OSs), development environments, and software packages. In this hands-on builders session, we demonstrate Systems Manager Patch Manager to create patching baselines for multiple OSs and software packages, organize instances by OS and tags, and push patches while monitoring compliance. To participate, all you need is your laptop. AWS provides an AWS account.

Data Center 360

Join us for a session about Data Center 360.

Threat Detection & Incident Response

Detecting ransomware with AWS security services

In this hands-on session, build AWS Security Hub custom insights and Amazon GuardDuty filters based on threat intelligence data. Learn how to configure log aggregation to query for known ransomware, and automatically respond to threats by turning playbooks into AWS Systems Manager automation documents. After you build, run through a scenario where you get to use these tools to detect and respond to a simulated ransomware event pattern.

Enable your security analysts

Security analysts are under constant pressure to take meaningful action against security incidents. You can cut down on response time by enabling your security operations centers to have access to critical data that gives them a better understanding of the who, what, and where during these events. Although many of security responses are automated, analysts are still required to keep expanding their scope by reviewing additional information. This session reviews services that operationalize your security team’s ability to correlate large amounts of data across multiple AWS security services by enabling your security teams in threat hunting, alert triage, and incident investigation.


Identity

Scaling access management for enterprise customers

In this session, deploy a serverless AWS SSO solution that integrates enterprise identity access and governance use cases, including organizational provisioning and periodic attestation of access, as well as solution extension for additional features. You will need JavaScript skills to make the most out of the session. You will be provided a set of AWS accounts for this session.

AuthN and AuthZ patters for serverless applications

In this session, learn different patterns and options available for authentication (AuthN) and authorization (AuthZ) of AWS serverless applications. Explore AuthN and AuthZ options based on application types such as business-to-consumer (B2C) and business-to-business (B2B). Dive deep into authorization options like JWT authorizer, IAM authorizer, and Lambda authorizer at the API Gateway layer. Also, learn about AWS services like Amazon Cognito, Amazon API Gateway, and AWS Lambda. To participate, all you need is your laptop. AWS provides an AWS account.

The journey to least privilege on AWS

We have a collective responsibility to work toward a least privilege access model. This session discusses approaches to implementing least privilege and the techniques you can use to continuously update access across your environment. You’ll learn about creating logical isolation boundaries for your data and applications using AWS accounts, applying guardrails to allow your developers to experiment, innovate safely using identity and access management policies, and right-size access permissions using AWS IAM Access Analyzer and other techniques. Bring your questions and experiences to share!

Data Protection

Use Nitro Enclaves to isolate and process highly sensitive data:

Join this builders' session to learn how to isolate highly sensitive data from your users, applications, and third-party libraries on your Amazon EC2 instances using AWS Nitro Enclaves. In this hands-on session, explore Nitro Enclaves, learn common use cases, and build and run your own enclave. Also, learn about enclave isolation, cryptographic attestation, enclave image files, local vsock communication channels, common debugging scenarios, and the enclave lifecycle. To participate, all you need is your laptop. AWS provides an AWS account.

Automation workflows with Amazon Macie

Amazon Macie is a fully-managed privacy and data security service that uses machine learning and pattern matching to help you protect your sensitive data on AWS. Customers often ask how to extend Macie to other services or applications using automation workflows, so a brief summary of Macie will be provided, followed by examples of automated workflows to meet specific use cases. Discover how Amazon EventBridge, AWS Lambda, and AWS Systems Manager can help set up automation workflows to send Macie findings to a Jira project, a Slack workspace, a custom third-party application, or Amazon QuickSight for data visualization.

GRC

Building custom frameworks with AWS Audit Manager

The AWS Audit Manager framework library is the central location where you can access and manage frameworks. You can create custom frameworks to organize control sets in a way that suits your unique requirements. In this stream, you’ll learn how to build a customized framework through the AWS Management Console. Additionally, learn from customer use cases about how to use automation with AWS SDK for Python (Boto3) to build custom frameworks at scale.

Running PCI compliant serverless workloads

Join this session to learn more about how you build a serverless payment application implemented with Amazon API Gateway, AWS Lambda, Amazon DynamoDB, and Amazon Cognito.

Track7 Session 1

Tab 7 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.

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

What to Expect

Executive Q&A

AWS Experts

Live Demos

Why attend?

Whether you're new to DynamoDB or an experienced user, learn from AWS experts about best practices with technical demos and live Q&A. Hear from AWS leaders about the origin of DynamoDB, as well insights into the future of DynamoDB.

Who should attend?

Everyone—from technical to business decision-makers—is welcome to attend and will benefit from the content. Developers and IT professionals will learn how DynamoDB helps build internet-scale apps and modernize your data strategy using a fast, flexible NoSQL database.



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

About the Event

Who Should Attend

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Featured Speakers

  • 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.

  • 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 INXPO platform.

Q: Who should attend this event?

A: Developers building data-driven apps; DBAs and data engineers who are building analytics infrastructure and data pipelines; Analysts and data scientists who are deriving insights that answer complex business quesions and building/trainining machine learning models.

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 Database and Analytics pages on the AWS website to get a brief overview of the services available to them.