Register now

AWS Silicon Innovation Day 2022

AWS is the leader in silicon developed for performance and scalability in the cloud. For over a decade, AWS innovations have enabled rapid development and deployment of new services and features. Find out how AWS silicon helps you innovate.

AWS Silicon Innovation Day allows you to connect with experts from AWS in order to understand how and why AWS develops silicon for the cloud. We will provide you with an overview of our history of silicon development and have experts who will provide sessions on specific AWS chips.

Silicon Innovation Day is an event where AWS leaders and experts will showcase our innovations in custom designed chips built for high performance and scale in the cloud. Architects and engineers will deep dive into our silicon design and share customer success stories. The event will be broadcast live, and participants can interact with these AWS experts.

Topics will include system level chips, processors, ML accelerators, and storage.

Virtual Event Agenda

Virtual Event Agenda

Keynote address

9:00am - 9:20am PT | 12:00pm-12:20pm ET
Speaker: Dave Brown

Fireside chat talking about Nitro System creation

10:00am - 10:25am PT | 1:00pm-1:25pm ET
Speaker: Jeff Barr & Anthony Liguori

History of AWS Silicon Innovation

10:30am - 10:55am PT | 1:30pm-1:55pm ET
Speaker: James Hamilton

AWS Silicon Innovation Annapurna labs

11:00am - 11:20am PT | 2:00pm-2:20pm ET
Speaker: Nafea Bshara

Sustainability and AWS

11:30am - 12:00pm PT | 2:30pm-3:00pm ET
Speaker: Amit Bajaj

Confidential compute

12:30pm - 1:00pm PT | 3:30pm-4:00pm ET
Speaker: J.D. Bean

Nitro SSDs

1:00pm - 1:25pm PT | 4:00pm-4:25pm ET
Speaker: Amit Shah

Graviton

1:30pm - 1:55pm PT | 4:30pm-4:55pm ET
Speaker: Stephanie Shyu & Arthur Petitpierre

Trainium and Inferentia

2:00pm - 2:25pm PT | 5:00pm-5:25pm ET
Speaker: Ron Diamant

Developing Silicon in the AWS Cloud

2:30pm - 3:00pm PT | 5:30pm-6:00pm ET
Speaker: David Pellerin & Ahmed Elzeftawi

Cost savings using AWS Silicon

3:00pm - 3:25pm PT | 6:00pm-6:25pm ET
Speaker: Roshini Pary

Wrap-up

3:25pm - 3:40pm PT | 6:25pm-6:40pm ET
Speaker: Jeff Barr

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

  • JAN 21 2020
    Sunt in Culpa
  • JAN 21 2020
    Sunt in Culpa
  • JAN 21 2020
    Sunt in Culpa
  • JAN 21 2020
    Sunt in Culpa
  • JAN 21 2020
    Sunt in Culpa
  • JAN 21 2020
    Sunt in Culpa
  • JAN 21 2020
    Sunt in Culpa
  • JAN 21 2020
    Sunt in Culpa
  • JAN 21 2020
    Sunt in Culpa
  • JAN 21 2020
    Sunt in Culpa
  • JAN 21 2020
    Sunt in Culpa
  • JAN 21 2020
    Sunt in Culpa
  • JAN 21 2020
    Sunt in Culpa
  • JAN 21 2020
    Sunt in Culpa
  • JAN 21 2020
    Sunt in Culpa

Venue

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

What to Expect

Executive Keynote

AWS Experts

Live Demos

Why attend?

Whether you're new to the cloud or an experienced user, learn from AWS experts and AWS leaders about security best practices and security service deep dives. Get insight into the future of cloud security and have your questions answered by experts.

Who should attend?

Technologists and security practitioners, with varying levels of expertise, who are interested in learning about AWS Security services and live demos. However, all individuals, from technical to business decision-makers, are welcome to attend and will benefit from the content.

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

Quis Nostrud Exercitation

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.

Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est. laborum.

Excepteur Sint

Lorem ipsum dolor sit amet, elit, sed do ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex eaconsequat. Duis aute irure dolor in.

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.