Date: Thursday, July 30, 2020
Time: 9:00 AM – 10:00 AM PDT or 12:00 PM – 1:00 PM EDT
 

Event Agenda

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

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 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

  • 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

Join us for the Scaling Growth with SaaS Trials webinar

This webinar is part of our “Journey to SaaS” webinar series which is designed to empower and enable you to build, migrate, and optimize SaaS on AWS. Throughout this webinar series, we’ll share SaaS best practices and resources that will guide you through your SaaS journey, regardless of what stage you are in your journey.

Date: Thursday, July 30, 2020
Time: 9:00 AM – 10:00 AM PDT or 12:00 PM – 1:00 PM EDT

Session Proficiency Levels Explained

  • Level 100

    Introductory

    Sessions are focused on providing an overview of AWS services and features, with the assumption that attendees are new to the topic.

  • Level 200

    Intermediate

    Sessions are focused 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 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

In this webinar, we will further unlock the value of your journey to SaaS by looking at how trials can be used to scale and grow your recurring revenues. We will define trial strategies and motivation and discuss how to build, launch, and operate trials successfully.

Freshworks, a successful SaaS company, will provide their perspective of trials as a growth mechanism on AWS.

Who Should Attend

Business and tech leaders within technology organizations on a SaaS transformation journey specifically product management, sales, and marketing leaders.

This is a level 200-Intermediate session. This session is focused on providing best practices, details of service features and demos, with the assumption that attendees have introductory knowledge of the topics.

Speakers

  • Akshay Patel

    Akshay Patel,
    Business Leader, SaaS Factory

    Akshay Patel is a Business Leader on the SaaS Factory team, based in New York, NY. In this role he provides strategic thought leadership and business architecture guidance to large APN Partners as they navigate complex transformations to SaaS. Akshay is a seasoned professional with 10+ years of experience in product management and leadership positions. He has international experience in scaling and transforming both startup and large companies. He brings hands on operational experience with many failures and success stories.

  • Marc Harpster

    Marc Harpster,
    Global Lead, AWS Marketplace

    Marc Harpster is a Global Lead for AWS Marketplace. Since 2014, he has been helping software vendors launch their solutions on AWS Marketplace, and build successful go-to-market programs, and co-sell campaigns with AWS Account Managers. Recently, he has focused on SaaS solution providers, working with them to adopt Marketplace tools that help sell to all types of buyers, from individual developers up to Enterprise organizations.

  • Mukesh Mirchandani

    Mukesh Mirchandani,
    Executive, Freshworks

    Mukesh Mirchandani is a key executive at Freshworks, a B2B SaaS provider in Customer Engagement Solutions for support, sales and marketing professionals to communicate effectively with customers. He leads a highly successful team who are laser focused on delivering customer value through the shortest and frictionless path possible. He brings over 20 years of experience with leading companies like Freshdesk, Gladly, Salesforce, PTC, and other in delivering Enterprise Software Solutions for Customer Relationship Management, Platform as a Service, ITSM, Analytics & Communities and other cloud technologies.

  • 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