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Ellie Mae Tech Talk Hosted by Confluent

October 30th, 2019
12:00-2:00pm PST
Ellie Mae, 4420 Rosewood Dr #500, Pleasanton, CA 94588, USA

The world is changing. New problems need to be solved. Companies now run global businesses that span the globe and hop between clouds, breaking down silos to create seamless applications that synergize the organization. There is a continuous state of change that organizations must manage and innovate with. Traditional architectures simply cannot meet the challenges of real time and extreme scale.

Today, we are addressing these new, rising needs through microservices, IoT, event hubs, cloud, machine learning and more. At some point it becomes obvious that we need to go back to basics, back to first principles of system design, and start again. The common element of all these new world problems is that they revolve around the notion of events. These events drive actions and reactions, and transform between different streams, splitting, merging and evolving like the pathways of your brain.

To understand the importance of being event driven, we’ll examine why events have become so pivotal in our thinking today. We will then evaluate the qualities and how events have become a first-class concern for the modern organization, as awareness of events underpins event-first thinking and design.

In this discussion we will examine:

  • History of “events” – Why do they matter?
  • Adoption journey of the “event”
  • Considerations of the event-driven architecture
  • Transitioning to event-first thinking
  • Event-first versus event-command patterns for event-driven design
  • Event-command pattern
  • Benefits of the event-first approach
  • Presenter: Vish Srinivasan - Confluent Sales Engineer


Vish Srinivasan

Systems Engineer

Vish Srinivasan is a Systems Engineer with Confluent helping enterprises in the Bay Area become more event driven to process real-time events at scale. Before this he spent over 10 years working in the integration space working with connectors, APIs and other data / middleware technologies.