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Can Event-Driven Architecture make Software Design Easier? (with Bobby Calderwood)

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Manage episode 393346135 series 3476072
Content provided by Kris Jenkins. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kris Jenkins or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This week’s guest describes Event Sourcing as, “all I’m going to use for the rest of my career.” But what is Event Sourcing? How should we think about it, and how does it encourage us to think about writing software?

In this episode we take a close look at systems designed around the idea of Events, with guest Bobby Calderwood. Bobby’s been designing (and helping others design) event based architectures for many years, and enthusiastically recommends it not only as a system-design technique, but as a way of solving business problems faster and more reliably.

During this discussion we look at the various ways of defining event systems, what tools we need to implement them, and the advantages of thinking about software from an event-based perspective. Along the way we discuss everything from Clojure, Bitemporality & Datomic to Kafka and more traditional databases - all in the service of capturing real-world events and building simple systems around them.

EventStoreDB: https://developers.eventstore.com/

The CloudEvents standard: https://cloudevents.io/

Datomic: https://www.datomic.com/

Adam Dymitruk’s Event Modelling Explanation: https://eventmodeling.org/

Bobby’s Event Modelling course: https://developer.confluent.io/courses/event-modeling/intro/

Bobby on Twitter: https://twitter.com/bobbycalderwood

Boddy on LinkedIn: https://www.linkedin.com/in/bobbycalderwood/

Kris on Twitter: https://twitter.com/krisajenkins

Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

#software #softwarepodcast #programming #eventsourcing #eventdrivenarchitecture #kafka

  continue reading

64 episodes

Artwork
iconShare
 
Manage episode 393346135 series 3476072
Content provided by Kris Jenkins. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kris Jenkins or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This week’s guest describes Event Sourcing as, “all I’m going to use for the rest of my career.” But what is Event Sourcing? How should we think about it, and how does it encourage us to think about writing software?

In this episode we take a close look at systems designed around the idea of Events, with guest Bobby Calderwood. Bobby’s been designing (and helping others design) event based architectures for many years, and enthusiastically recommends it not only as a system-design technique, but as a way of solving business problems faster and more reliably.

During this discussion we look at the various ways of defining event systems, what tools we need to implement them, and the advantages of thinking about software from an event-based perspective. Along the way we discuss everything from Clojure, Bitemporality & Datomic to Kafka and more traditional databases - all in the service of capturing real-world events and building simple systems around them.

EventStoreDB: https://developers.eventstore.com/

The CloudEvents standard: https://cloudevents.io/

Datomic: https://www.datomic.com/

Adam Dymitruk’s Event Modelling Explanation: https://eventmodeling.org/

Bobby’s Event Modelling course: https://developer.confluent.io/courses/event-modeling/intro/

Bobby on Twitter: https://twitter.com/bobbycalderwood

Boddy on LinkedIn: https://www.linkedin.com/in/bobbycalderwood/

Kris on Twitter: https://twitter.com/krisajenkins

Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

#software #softwarepodcast #programming #eventsourcing #eventdrivenarchitecture #kafka

  continue reading

64 episodes

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