Event-driven data flow with Kafka

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Patrick Gotthardt

Kafka liberates teams to access exactly the data they need by decoupling data production and consumption.
This makes it easy for organisations to scale applications, teams and performance.
We will explore how Kafka can help you to speed up your GraphQL server, remove the complexity and dependency hell of layered microservices and trigger your JAMStack build whenever new data becomes available.


What are the key takeaways from this talk?

Kafka separates data producing from data-consuming teams, enabling each team to move faster and for more teams to consume the same data in different ways. That enables many interesting new use cases such as denormalising data access for use within a GraphQL server or even to trigger your JAMStack build when new data is entered.

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