A presentation at Munich Microservices Meetup in in Munich, Germany by Robin Moffatt
Building a flexible, scalable, real-time data architecture for the enterprise is no simple matter. Rarely does one single technology suit for all requirements, and frequently many different teams are involved which drives solutions with varying levels of [dis-]integration.
Apache Kafka is a streaming platform that acts as the 'data backbone' for the enterprise. By streaming events into Kafka as they occur, they can be used in any dependent system, in real time or batch. Search replicas, NoSQL stores, caches, graph databases - these all have their place in solving specific requirements, and all need to be fed with data! Kafka is the enabling platform that supports the event-driven, high performance, scalable integration of data throughout the enterprise, whilst also providing the messaging capabilities to drive applications directly.
This talk will discuss the role and benefits of Kafka in an architecture, the Kafka ecosystem, and several design patterns used to address specific challenges that organisations face with managing their flows and availability of data.
The following resources were mentioned during the presentation or are useful additional information.
Free download of Kafka & Stream Processing e-books
5000+ community slack group, dedicated channels to different components of Kafka and Confluent Platform. Find me there @rmoff :)
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