![What problems does Apache Kafka Solve? (with Neil Buesing) image](https://media.zencastr.com/cdn-cgi/image/width=640,quality=85/image-files/619e48a9649c44004c5a44e8/96973d74-2516-4e2d-9d94-649aee1838f7.jpg)
![](https://media.zencastr.com/cdn-cgi/image/width=640,quality=85/image-files/619e48a9649c44004c5a44e8/96973d74-2516-4e2d-9d94-649aee1838f7.jpg)
Neil Buesing is a seasoned Apache Kafka® user, and a respected voice from the Kafka community who specialises in helping companies make the best use of Kafka. And that makes him the ideal person to ask the $64,000 question: What problems can Kafka actually solve for me? Because Kafka's definitely interesting, and it can be fun, but to earn a place in the toolbox it has to make life easier.
In answering that question, Neil covers a tonne of ground, from queuing and quasi-databases, transitioning from batch to real-time, and solving general software integration headaches.
If you have data problems, big or small, join us to figure out if Kafka is the answer.
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Kinetic Edge: https://www.kineticedge.io
Neil on Twitter: https://twitter.com/nbuesing
Neil on LinkedIn: https://www.linkedin.com/in/nbuesing/
Kris on Twitter: https://twitter.com/krisajenkins
Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/
Building an Enterprise Eventing Framework (Conference Talk): https://www.confluent.io/en-gb/kafka-summit-san-francisco-2019/building-an-enterprise-eventing-framework/
Synchronous Kafka (Conference Talk): https://www.confluent.io/resources/kafka-summit-2020/synchronous-commands-over-apache-kafka/
Dev Local: https://github.com/kineticedge/dev-local
KIP-714 - Client metrics and observability: https://cwiki.apache.org/confluence/display/KAFKA/KIP-714%3A+Client+metrics+and+observability
![](https://media.zencastr.com/cdn-cgi/image/width=640,quality=85/image-files/619e48a9649c44004c5a44e8/96973d74-2516-4e2d-9d94-649aee1838f7.jpg)
Neil Buesing is a seasoned Apache Kafka® user, and a respected voice from the Kafka community who specialises in helping companies make the best use of Kafka. And that makes him the ideal person to ask the $64,000 question: What problems can Kafka actually solve for me? Because Kafka's definitely interesting, and it can be fun, but to earn a place in the toolbox it has to make life easier.
In answering that question, Neil covers a tonne of ground, from queuing and quasi-databases, transitioning from batch to real-time, and solving general software integration headaches.
If you have data problems, big or small, join us to figure out if Kafka is the answer.
--
Kinetic Edge: https://www.kineticedge.io
Neil on Twitter: https://twitter.com/nbuesing
Neil on LinkedIn: https://www.linkedin.com/in/nbuesing/
Kris on Twitter: https://twitter.com/krisajenkins
Kris on LinkedIn: https://www.linkedin.com/in/krisjenkins/
Building an Enterprise Eventing Framework (Conference Talk): https://www.confluent.io/en-gb/kafka-summit-san-francisco-2019/building-an-enterprise-eventing-framework/
Synchronous Kafka (Conference Talk): https://www.confluent.io/resources/kafka-summit-2020/synchronous-commands-over-apache-kafka/
Dev Local: https://github.com/kineticedge/dev-local
KIP-714 - Client metrics and observability: https://cwiki.apache.org/confluence/display/KAFKA/KIP-714%3A+Client+metrics+and+observability