I am happy that my first official Confluent blog post was published and want to link to it from by blog:
How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka
The post explains in detail how you can leverage Apache Kafka and its Streams API to deploy analytic models to a lightweight, but scalable, mission-critical streaming appilcation.
If you want to take a look directly at the source code, go to my Github project about Kafka + Machine Learning. It contains several examples how to combine Kafka Streams with frameworks like TensorFlow, H2O or DeepLearning4J.
Airlines run data pipelines, infrastructure automation, application workflows and business processes in separate orchestration silos,…
AI agents pile up debt when retries, approvals and audit land in the wrong layer.…
My Lufthansa HON Circle experience in 2026 as a frequent flyer with around 30 trips…
Humanoids get the headlines, but most physical AI value comes from what happens after a…
Within a month of Jev by TypeSafe AI, hyperscalers, AI labs, data platforms and open…
Kafka moves the events, but nothing coordinates what happens next. This post shows how Kestra…
