Event-Driven Integration Today & Tomorrow • James Urquhart • GOTO 2023


Discover the latest advancements in Event-Driven Integration with James Urquhart, exploring standards, patterns, and technologies like AWS EventBridge, CloudEvents, and AI-led automation.

Key takeaways
  • Event-Driven Integration (EDI) and EventBridge are evolving towards a standardized grammar and terminology.
  • Consistency in interpreting metadata and the importance of discovering inconsistencies are crucial.
  • EDA is not a new concept, but it’s gaining more attention due to advancements in technologies like AWS EventBridge and CloudEvents.
  • There are several patterns and standards, such as WebSockets, EDI, and PubSub, that can be used for event-driven integration.
  • CloudEvents is a great technology for integration, and it’s likely that it will be the metadata standard for event-driven integration.
  • Data has gravity, meaning that the importance and value of data create a force that drives systems to evolve towards it.
  • AI can be the killer app for flow, as it can help automate and optimize event-driven integration.
  • There is a huge opportunity for event-driven integration in industries like finance, healthcare, and logistics.
  • The concept of “flow” can be applied to various domains, such as the movement of water through a system.
  • Event-driven integration can facilitate real-time data processing, analysis, and decision-making.
  • Data gravity can be applied to real-time data processing, making it a crucial aspect of event-driven integration.
  • PubSub is a common pattern for event-driven integration, especially for real-time data processing.
  • There are several open-source and proprietary technologies, such as Kafka, Nats, and EventBridge, that can be used for event-driven integration.
  • Event-driven integration can facilitate the exchange of goods and services across organizational boundaries.
  • The importance of data is a key factor in determining the flow of data and the systems that process it.
  • The concept of “data gravity” can be applied to various domains, such as finance, healthcare, and logistics.