Event Series Overview
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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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- 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
- 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
Event Agenda
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| 1pm - 2pm ET | ||||
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| 3pm - 4pm ET | ||||
On-Demand Events
- Thursday, September 16, 2021
- Thursday, October 14, 2021
- Track5 Session 1
- Track6 Session 1
- Track7 Session 1
- Track8 Session 1
- Track9 Session 1
- Track10 Session 1
Thursday, September 16, 2021
Thursday, October 14, 2021
Good to great: Maximizing your SaaS success – Learning level 200
The move to SaaS requires teams to re-think every dimension of how they do business. Operations, sales, marketing, support, product management, development, and culture are all directly shaped by SaaS values and goals. While the importance of adopting and incorporating these SaaS values may be well understood, not every organization is realizing their full SaaS potential. In this session, we’ll look at a range of areas where organizations can refine their practices and maximize their ability to achieve the full value proposition of a SaaS delivery model. The goal here is to highlight some of the best-of-breed practices and strategies that are being leveraged by organizations that have fully integrated SaaS principles into their business model.
Featured Speaker
Tod Golding
Principal Partner Solutions Architect, AWS SaaS Factory
Tod Golding is a cloud applications architect who has spent the last seven years immersed in cloud-optimized application design and architecture. He’s currently an architect at Amazon Web Services focused on SaaS application architecture, design, and delivery. Tod has over 20 years of experience as an architect and developer, including time at both startups and tech giants (AWS, eBay, Microsoft). In addition to speaking at technical conferences, Tod also authored Professional .NET Generics and was a columnist for Better Software magazine.
Learning from SaaS pioneers: Partnering to accelerate innovation – Learning level 200
While many organizations are just starting along their SaaS journey, pioneers such as Crowdstrike, Snowflake, and Stripe are now approaching the second decade of their own journeys. Innovation and agility are at the heart of customer growth in SaaS, but how do these early innovators maintain the pace of innovation 10 years on? What are key lessons learned as these companies have scaled their businesses globally? How has AWS played a role? Join us as we take a deeper look at how these pioneers have sustained the pace and momentum in their respective businesses, delivered innovation to customers, and built scale through innovative go-to-market mechanisms and strategic partnerships.
Featured Speakers
Craig Wicks
Senior Manager, AWS SaaS Factory, AWS
Craig Wicks is a Senior leader in the AWS SaaS Factory program. In this role, he enables AWS partners and customers to accelerate and grow their SaaS business on AWS. Over his 20+ year career he has the opportunity to lead teams, drive global programs and work with the world’s leading technology companies. Prior to AWS, he held senior roles at Microsoft and led research and strategy consulting engagements for companies such as AT&T, Sprint, Hewlett-Packard, IBM, Avaya, NEC and many start-ups.
Jessica Alexander
VP Amazon, Cloud Product Sales and Alliances Lead, CrowdStrike
Jessica Alexander, VP Amazon, Cloud Product Sales and Alliances leads CrowdStrike’s 360 degree partnership with Amazon and AWS. Jessica’s team builds joint GTM globally with AWS to accelerate and amplify the adoption of our cloud security products. By aligning with both APN and AWS Marketplace, CrowdStrike benefits from a highly efficient and scalable route to new customers.
Colleen Kapase
SVP of WW Partner and Alliances, Snowflake
Colleen Kapase oversees the strategy and sales success of the Snowflake Partner Network and partnership strategy for Snowflake’s Technology, Data, Service, and Cloud partners. Colleen has two decades of experience growing companies from $100M to $1B+ in revenue and served as the first female Channel Chief for VMware. Honored as one of CRN Magazine’s “Power 100” Women of the Channel for the last nine years, Colleen is an Alumni of the University of Washington and the Stanford University School of Business.
Kate Earle Jensen
Head of Platform Sales, Stripe
Kate Earle Jensen leads the Platforms Sales organization in North America, which enables software businesses to offer payments and financial services to their customers with Stripe's technology. She's been at Stripe for five years and has held a number of leadership roles in the sales organization as it's scaled. Prior to joining Stripe, Kate worked at Google. Kate graduated from Yale University and obtained her Graduate Business degree from Stanford University.
How to align your organizational structure to maximize SaaS success - Level 200
Succeeding with SaaS is not purely about building a great solution—it must also be accompanied by an organizational structure that supports and promotes the culture and tenets of SaaS. For many, this means re-thinking how your organization is structured. SaaS creates the need for new or re-defined roles that have a focus on the as-a-service model of SaaS. How your teams approach sales, how you market, how you build out customer success, how your product manager builds backlogs, how operations enables agility and innovation—these are all potential areas that are likely to influence how you shape your organization. In this session, we’ll look at common approaches to building SaaS organizations and hear how any business, from enterprise ISVs to small and mid-size companies, can achieve a successful transformation strategy for building a SaaS organization.
Featured Speakers
Jonathan Christofaris
Senior Practice Lead, AWS SaaS Factory
T. Brian Jones
CTO, Netwise
The business opportunity for your organization to build SaaS - Level 100
AWS sits down with independent research firm Forrester and AWS Customer Druva, a cloud data protection and management company, to explore the business opportunities when moving to a software-as-a-service (SaaS) model. Learn some of the common approaches and considerations that are applied by organizations while they create their SaaS strategy on AWS and get insights on how to maximize success. As part of the session, we’ll highlight the key findings of the objective study from Forrester and uncover how SaaS builders were able to identify 70% ROI in 18 months. In addition, Druva will share their experiences on the path to SaaS success and how they leveraged AWS to solve customer problems and improve user experience.
Featured Speakers
Akshay Patel
Business Leader, AWS SaaS Factory
Prem Ananthakrishnan
Vice President, Product, Druva
David Park
Senior Consultant, Forrester
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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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Who should attend
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Business Leadership
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Engineering Leadership
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Product Management
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Sales and Marketing
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
The webinar series “Behind the Scenes of SaaS Success” is focused on helping you maximize success when planning, building, and optimizing SaaS on AWS. Throughout the series, we sit down with industry leaders as they share their experience navigating the different aspects of SaaS success. AWS SaaS experts also share SaaS best practices and resources that will help turn these learnings into practice. Learn more about the sessions below.
Who Should Attend
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Business Leadership
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Engineering Leadership
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Product Management
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Sales and Marketing
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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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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.
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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.
FAQS
- Where is AWS Innovate hosted?
- What is the price of attending AWS Innovate?
- Who should attend AWS Innovate?
- How do I get the certificate of attendance?
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.