About the Event

This webinar series will dive deep into the container orchestration services available in AWS: Amazon ECS and Amazon EKS. Join us for an introduction into each service, as well as a best practices for running your containers at scale.

 

Sessions

  • Introduction to Amazon ECS
  • Introduction to Amazon EKS
  • Operating Containers at Scale

Register now to view all the sessions on-demand.

About the Series

AWS is the best cloud for running your Windows workloads and our experience running Windows applications has earned our customers’ trust. More and more enterprises are entrusting their Windows workloads to AWS because of its greater reliability, higher performance, and lower cost.

In this series you’ll learn how to setup your AWS environment to run your Windows workloads. We will share best practices and design considerations for running Microsoft workloads on AWS, and cover topics such as software licensing optimization, reducing migration complexity, and optimizing costs.

 

Sessions

This on-demand series features the following sessions:

  1. Setting Up Your AWS Environment to Run Your Windows Workloads
  2. Evaluate and Optimize Your Microsoft Costs Before You Migrate
  3. Automate Your Microsoft Migrations to the Cloud
  4. The Lifecycle of Resizing: Properly Maintain your Windows Workloads on AWS
  5. Migrated? Now Keep Your Microsoft Licenses Optimized
  6. Patch Your Microsoft Instances at Scale with AWS Systems Manager


Register now to view the sessions on-demand!

Agenda

Time: Session:
10:00 AM Welcome
10:05 AM Topic 1
11:00 AM Topic 2
11:45 AM Topic 2
12:30 PM Closing note


Session Details

  • Day 1
  • Day 2
  • Day 3
  • Day 4
  • Day 5
  • Track6 Session 1
  • Track7 Session 1
  • Track8 Session 1
  • Track9 Session 1
  • Track10 Session 1

Day 1

Tab 1 content

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Day 2

Tab 2 content

Integer ultrices lacus sit amet lorem viverra consequat. Vivamus lacinia interdum sapien non faucibus. Maecenas bibendum, lectus at ultrices viverra, elit magna egestas magna, a adipiscing mauris justo nec eros.

Day 3

Tab 3 content

Integer ultrices lacus sit amet lorem viverra consequat. Vivamus lacinia interdum sapien non faucibus. Maecenas bibendum, lectus at ultrices viverra, elit magna egestas magna, a adipiscing mauris justo nec eros.

Day 4

Tab 4 content

Integer ultrices lacus sit amet lorem viverra consequat. Vivamus lacinia interdum sapien non faucibus. Maecenas bibendum, lectus at ultrices viverra, elit magna egestas magna, a adipiscing mauris justo nec eros.

Day 5

Tab 5 content

Integer ultrices lacus sit amet lorem viverra consequat. Vivamus lacinia interdum sapien non faucibus. Maecenas bibendum, lectus at ultrices viverra, elit magna egestas magna, a adipiscing mauris justo nec eros.

Track6 Session 1

Tab 6 content

Integer ultrices lacus sit amet lorem viverra consequat. Vivamus lacinia interdum sapien non faucibus. Maecenas bibendum, lectus at ultrices viverra, elit magna egestas magna, a adipiscing mauris justo nec eros.

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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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

What you'll learn

About the Event: Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.

Who should attend

Who Should Attend: Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.

Speakers

  • Aileen Faudre

    Aileen Faudree

    Manager, Global Programs &
    Field Readiness, AWS

    Aileen leads Amazon Connect go-to-market field readiness, supporting our sales teams worldwide with contact center migration programs and initiatives, where AWS customers learn customer service from Amazon Retail. She joined Amazon in 2017, focused on strategic new verticals in Alexa Smart Home Services. Prior to Amazon, Aileen spent a decade scaling software sales teams and developing strategic partnerships at tech startups. Aileen graduated from Duke University with a B.S. in Economics. Outside of inspiring companies to re-imagine their customer experiences through technology, Aileen stays busy exploring the Pacific Northwest wilderness with husband Brian and 5-year old son.

  • Scott Brown

    Scott Brown

    Head of Worldwide GTM - Productivity Applications, AWS

    Scott joined AWS in 2016 as the first employee of Amazon Connect Go To Market (GTM) and has built out a global team tasked with helping liberate customers from constrictive technologies that hinder innovation and prevent personalized and delightful cognitive customer experiences. Throughout his career, Scott has spent almost three decades consulting and implementing contact center and unified communications technologies, and he and his team have established Amazon Connect as the fastest growing service in the history of AWS. Prior to joining AWS, Scott spent 3 years as the President of Smart Technologies and before that had a 13-year run at Microsoft, where he developed a global team to introduce and grow Microsoft’s Unified Communications portfolio of products. Scott also spent 12 years at The Gallup Organization where he led the architecture and implementation of Gallup’s global contact center operations with assignments across North America, Asia Pacific, and Europe. Scott is an Honor Graduate of the University of Nebraska and a veteran of the U.S. Army and Nebraska Army National Guard.

    Scott and his wife Trish reside in Kirkland, Washington where there is a marked deficiency of both sunlight and cattle.

  • Erin Hall

    Erin Hall

    Senior Solutions Architect, AWS

    Erin is a Senior Solutions Architect for Amazon Connect. Erin is responsible for creating and publishing solutions that accelerate customer adoption and demonstrate the power of AWS. She has previous experience as a Software Developer Engineer with AWS in areas such as developer operations, contact centers, and end user computing.

  • 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