Join us for Application Modernization Deep Dive Workshop
9:00 AM - 1:00 PM PT
Session Details
- Wed, Sept 29, Container Services Deep Dive Workshop
- Thurs, Sept 30, Serverless Deep Dive Workshop
- Track6 Session 1
- Track7 Session 1
- Track8 Session 1
- Track9 Session 1
- Track10 Session 1
Wed, Sept 29, Container Services Deep Dive Workshop
September 29, 2021 - Container Services Deep Dive Workshop
About the event: Using Amazon ECS, AQR decreased
application build and launch time from 6 weeks to 30 minutes and Vanguard from 3 months to 24 hours.
Join this free containers workshop to get hands-on experience using Amazon ECS to gain the foundation on how you can modernize your applications.
You’ll learn how to build microservices, monitor and scale applications, and automate the CI/CD pipeline.
Who should attend: Developers, Cloud Engineers, DevOps teams, Architects, Application Development Teams, and anyone who is interested in getting started with
containers.
No prior containers or serverless knowledge needed! Basic knowledge of the cloud and software development is helpful.
Agenda:
9:00am - 9:30am PT - Introduction to containers, Amazon ECS, and AWS Fargate
9:30am- 10:00am PT - Introduction to AWS Copilot CLI
10:00am - 11:00am PT -Deploy a three-tier microservices application to Amazon ECS
11:00am - 11:15am: Break
11:15am - 12:00pm PT - Monitor and scale your applications in Amazon ECS
12:00pm - 1:00pm PT - Automate the delivery of your containers with CI/CD
Prerequisites:
Basic understanding of the cloud and software development.
No container experience needed.
Thurs, Sept 30, Serverless Deep Dive Workshop
September 30, 2021 - Serverless Deep Dive Workshop
About the event: Thinking of building Serverless Applications? Join us for a free Amazon Web Services (AWS) deep dive workshop to get hands-on experience building Serverless Applications for use cases such as building an end-to-end Serverless Web Application, data processing, and data analytics. Learn the basics of building Serverless Applications leveraging services like AWS Lambda, Amazon API Gateway, Amazon DynamoDB, Amazon Kinesis.
Who should attend: Developers, Architects, Cloud Engineers, Infrastructure Administrators, and other technical professionals who are looking to build cloud native, resilient and scalable Serverless Applications.
Why Attend: Learn how to leverage AWS Lambda for building Serverless Web Applications and streaming workloads in your organization. Gain hands-on experience with AWS Serverless services including AWS Lambda.
Agenda:
9:00am - 9:30am PT - Introduction to Serverless
What is Serverless? How can Serverless Accelerate your development?
9:30am- 10:45am PT -Build a dynamic end-to-end Serverless Web Application - Hands-on Lab
In this workshop you’ll deploy an end-to-end web application leveraging AWS Lambda, Amazon API Gateway, Amazon S3, Amazon DynamoDB, Amazon Cognito, and AWS Amplify Console.
10:45am- 11:00am Break
11:00am - 12:50pm PT - Serverless Data Processing on AWS - Hands-on Lab
In this workshop, you will leverage AWS services to process real-time data streams without managing servers. We will use a variety of AWS services including Amazon Kinesis, AWS Lambda, Amazon DynamoDB.
12:50pm - 1:00pm Wrap-up and next steps
Prerequisites
Basic understanding of the cloud and software development.
No prior experience with Serverless services is required.
A temporary AWS account will be provided for this workshop.
Optional free digital training:
Getting into the Serverless Mindset
Introduction to Serverless Development
AWS Lambda Foundations
Amazon API Gateway for Serverless
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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Customers using AWS Containers and Serverless technologies have significantly decreased the time it takes to develop and deploy new applications.
T-Mobile, Vanguard, and AQR have accelerated build and deploy steps by at least 90% using AWS Lambda or Amazon ECS and AWS Fargate.
Join one or both of these free hands-on workshops to learn how to build, deploy, and scale cloud native applications faster and more efficiently.
Each lab will be led by AWS experts and you’ll leave the workshop with the skills needed to build your own prototype.
There are no costs associated to the event, register now!
Session Proficiency Levels Explained
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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
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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
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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
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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
Customers using AWS Containers and Serverless technologies have significantly decreased the time it takes to develop and deploy new applications.
T-Mobile, Vanguard, and AQR have accelerated build and deploy steps by at least 90% using AWS Lambda or Amazon ECS and AWS Fargate.
Join one or both of these free hands-on workshops to learn how to build, deploy, and scale cloud native applications faster and more efficiently.
Each lab will be led by AWS experts and you’ll leave the workshop with the skills needed to build your own prototype.
There are no costs associated to the event, register now!
Who Should Attend
Anyone interested in getting hands-on experience with building cloud native applications using serverless or container technology.
- Architects
- Cloud Engineers
- DevOps Leaders
- Developers
- Infrastructure Administrators
No prior containers or serverless knowledge needed! Basic knowledge of the cloud and software development is helpful.
Featured Speakers
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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.
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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
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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.
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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.
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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
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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.
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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.
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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
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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
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’ 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’ 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’ 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.