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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

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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

  • At vero eos et accusamus et iusto odio dignissimos
  • Ducimus qui blanditiis praesentium voluptatum
  • Deleniti atque corrupti quos dolores et quas Molestias excepturi sint occaecati cupiditate non
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Event Agenda

Sprint Week - Wednesday - Thursday, November 4-5, 2020
  Day 1 - Organizational Level Operations Day 2 - Application Level Design Day 3 - NOT USED Day 4 - NOT USED
1pm - 2pm ET

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

Event Agenda

  • Wed, Nov 4
  • Thurs, Nov 5
  • NOT USED
  • NOT USED
  • Track5 Session 1
  • Track6 Session 1
  • Track7 Session 1
  • Track8 Session 1
  • Track9 Session 1
  • Track10 Session 1

Wed, Nov 4

Organizational Level Operations

Wednesday, November 4, 2020, 9:00 AM - 1:00 PM PT

Move fast and ship things: Using serverless to increase speed and agility within your organization 
In this session, Adrian Cockcroft demonstrates how you can use serverless to build modern applications faster than ever. Cockcroft uses real-life examples and customer stories to debunk common misconceptions about serverless.

Eliminating busywork at the organizational level: Tips for using serverless to its fullest potential 
In this session, David Yanacek discusses key ways to unlock the full benefits of serverless, including building services around APIs and using service-oriented architectures built on serverless systems to remove the roadblocks to continuous innovation.

Faster Mobile and Web App Development with AWS Amplify
In this session, Brice Pellé, introduces AWS Amplify, a set of tools and services that enables mobile and front-end web developers to build full stack serverless applications faster on AWS. Learn how to accelerate development with AWS Amplify's use-case centric open-source libraries and CLI, and its fully managed web hosting service with built-in CI/CD.

Built Serverless-First: How Workgrid Software transformed from a Liberty Mutual project to its own global startup
Connected through a central IT team, Liberty Mutual has embraced serverless since AWS Lambda’s inception in 2014. In this session, Gillian McCann discusses Workgrid’s serverless journey—from internal microservices project within Liberty Mutual to independent business entity, all built serverless-first. Introduction by AWS Principal Serverless SA, Sam Dengler.

Market insights: A conversation with Forrester analyst Jeffrey Hammond & Director of Product for Lambda Ajay Nair
In this session, guest speaker Jeffrey Hammond and Director of Product for AWS Lambda, Ajay Nair, discuss the state of serverless, Lambda-based architectural approaches, Functions-as-a-Service platforms, and more. You’ll learn about the high-level and enduring enterprise patterns and advancements that analysts see driving the market today and determining the market in the future.

AWS Fargate Platform Version 1.4
In this session we will go through a brief introduction of AWS Fargate, what it is, its relation to EKS and ECS and the problems it addresses for customers. We will later introduce the concept of Fargate “platform versions” and we will then dive deeper into the new features that the new platform version 1.4 enables.

Persistent Storage on Containers
Containerizing applications that require data persistence or shared storage is often challenging since containers are ephemeral in nature, are scaled in and out dynamically, and typically clear any saved state when terminated. In this session you will learn about Amazon Elastic File System (EFS), a fully managed, elastic, highly-available, scalable, secure, high-performance, cloud native, shared file system that enables data to be persisted separately from compute for your containerized applications.

Security Best Practices on Amazon ECR
In this session, we will cover best practices with securing your container images using ECR. Learn how user access controls, image assurance, and image scanning contribute to securing your images.

Thurs, Nov 5

Application Level Design

Thursday, November 5, 2020, 9:00 AM - 1:00 PM PT

Building a Live Streaming Platform with Amplify Video
In this session, learn how to build a live-streaming platform using Amplify Video and the platform powering it, AWS Elemental Live. Amplify video is an open source plugin for the Amplify CLI that makes it easy to incorporate video streaming into your mobile and web applications powered by AWS Amplify.

Building Serverless Web Applications
In this session, follow along as Ben Smith shows you how to build and deploy a completely serverless web application from scratch. The application will span from a mobile friendly front end to complex business logic on the back end.

Automating serverless application development workflows
In this talk, Eric Johnson breaks down how to think about CI/CD when building serverless applications with AWS Lambda and Amazon API Gateway. This session will cover using technologies like AWS SAM to build CI/CD pipelines for serverless application back ends.

Observability for your serverless applications
In this session, Julian Wood walks you through how to add monitoring, logging, and distributed tracing to your serverless applications. Join us to learn how to track platform and business metrics, visualize the performance and operations of your application, and understand which services should be optimized to improve your customer’s experience.

Happy Building with AWS Copilot
The hard part’s done. You and your team have spent weeks pouring over pull requests, building micro-services and containerizing them. Congrats! But what do you do now? How do you get those services on AWS? Copilot is a new command line tool that makes building, developing and operating containerized apps on AWS a breeze. In this session, we’ll talk about how Copilot helps you and your team set up modern applications that follow AWS best practices

CDK for Kubernetes
The CDK for Kubernetes (cdk8s) is a new open-source software development framework for defining Kubernetes applications and resources using familiar programming languages. Applications running on Kubernetes are composed of dozens of resources maintained through carefully maintained YAML files. As applications evolve and teams grow, these YAML files become harder and harder to manage. It’s also really hard to reuse and create abstractions through config files — copying & pasting from previous projects is not the solution! In this webinar, the creators of cdk8s show you how to define your first cdk8s application, define reusable components called “constructs” and generally say goodbye (and thank you very much) to writing in YAML.

Machine Learning on Amazon EKS
Amazon EKS has quickly emerged as a leading choice for machine learning workloads. In this session, we’ll walk through some of the recent ML related enhancements the Kubernetes team at AWS has released. We will then dive deep with walkthroughs of how to optimize your machine learning workloads on Amazon EKS, including demos of the latest features we’ve contributed to popular open source projects like Spark and Kubeflow

Deep Dive on Amazon ECS Capacity Providers
In this talk, we’ll dive into the different ways that ECS Capacity Providers can enable teams to focus more on their core business, and less on the infrastructure behind the scenes. We’ll look at the benefits and discuss scenarios where Capacity Providers can help solve the problems that customers face when using container orchestration. Lastly, we’ll review what features have been released with Capacity Providers, as well as look ahead at what’s to come.

NOT USED

NOT USED

NOT USED, 9:00 AM - 1:00 PM PT

Turbocharge RDS with ElastiCache for Redis (Level 200)
1:00 PM - 2:00 PM ET
Learn how Amazon ElastiCache can deliver high throughput and low latency for your data-driven RDS applications providing massive scale with sub-millisecond response times. Review popular caching strategies and best practices to learn how to quickly complement RDS with Amazon ElastiCache.

Best Practices for Migrating Redis Clusters from Amazon EC2 to ElastiCache (Level 300)
2:00 PM - 3:00 PM ET
With Online Migration for Amazon ElastiCache, easily move your data from self-hosted Redis on Amazon EC2 to fully managed Amazon ElastiCache. Learn about the new Online Migration tool, see a demo, and learn hands-on best practices for a smooth migration to fully managed Redis on ElastiCache.

Hands-on with Amazon ElastiCache for Redis (Level 300 Hands-On Lab)
3:00 PM - 4:00 PM ET
Join us for a practical, hands-on workshop on using Amazon ElastiCache. This session is designed for developers, engineers, and database administrators who are involved in utilizing ElastiCache for Redis. At the end of this session, you learn how to cache RDS queries with Amazon ElastiCache for Redis.

NOT USED

NOT USED

NOT USED, 9:00 AM - 1:00 PM PT

Lessons from Migrating Oracle Databases to Amazon RDS or Amazon Aurora (Level 400 Hands-On Lab)
1:00 PM - 4:00 PM ET
Learn and leverage database migration best practices from moving off commercial Oracle databases to Amazon RDS or Aurora. In this session, we will cover common pitfalls, issues, the biggest differences between the engines, migration best practices, and how some of our customers have completed these migrations.

Track5 Session 1

Tab 5 content

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Track6 Session 1

Tab 6 content

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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

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

About the Event

Today’s applications need to scale quickly, ensure availability, handle terabytes of data, and respond in milliseconds. We call these applications “modern” and they cover an expanding range of use-cases, including web and mobile apps, backend services, data processing, and machine learning. This online event will address how to build and operate modern applications at scale across your organization, enabling it to become more agile and respond to change faster. The event covers topics including serverless, containers, and more.

Who Should Attend

Technical decision-makers, DevOps teams, developers and more will find practical insights in this AWS online event. Individuals responsible for applications and organizational structure, along with technical aspects for development, deployment, and testing applications are strongly encouraged to attend.


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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.

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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: How much does this event cost?

A: There is no cost to attend this event.

Q: Where is this event?

A: This event is an online event, hosted by AWS.

Q: Who should attend this event?

A: This event is ideal for Developers, DevOps Teams, Engineering Leaders, IT Managers, Cloud Architects and anyone responsible for building applications or deploying, testing and operating them.

Q: Why should I attend this event?

A: This online event will provide best practices for building and operating modern applications at scale across your organization, enabling it to become more agile and respond to change faster.