Rethinking Stream Processing with Apache Kafka, Kafka Streams and KSQL

Posted in Apache Kafka, Big Data, Docker, Java / JEE, Kafka Streams, KSQL, Kubernetes, Messaging, Microservices, Open Source, Stream Processing on March 13th, 2018 by admin

I presented at JavaLand 2018 in Brühl recently. A great developer conference with over 1800 attendees. The location is also awesome! A theme park: Phantasialand. My talk: “New Era of Stream Processing with Apache Kafka’s Streams API and KSQL“. Just want to share the slide deck…

Kai Speaking at JavaLand 2018 about Kafka Streams and KSQL

Abstract

Stream Processing is a concept used to act on real-time streaming data. This session shows and demos how teams in different industries leverage the innovative Streams API from Apache Kafka to build and deploy mission-critical streaming real time application and microservices.

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Video Recording – Apache Kafka as Event-Driven Open Source Streaming Platform (Voxxed Zurich 2018)

Posted in Apache Kafka, Big Data, Cloud, Docker, EAI, ESB, Integration, Java / JEE, Kafka Connect, Kafka Streams, KSQL, Kubernetes, Messaging, Microservices, Middleware, Open Source, SOA, Stream Processing on March 13th, 2018 by admin

I spoke at Voxxed Zurich 2018 about Apache Kafka as Event-Driven Open Source Streaming Platform. The talk includes an intro to Apache Kafka and its open source ecosystem (Kafka Streams, Connect, KSQL, Schema Registry, etc.). Just want to share the video recording of my talk.

Abstract

This session introduces Apache Kafka, an event-driven open source streaming platform. Apache Kafka goes far beyond scalable, high volume messaging. In addition, you can leverage Kafka Connect for integration and the Kafka Streams API for building lightweight stream processing microservices in autonomous teams. The open source Confluent Platform adds further components such as a KSQL, Schema Registry, REST Proxy, Clients for different programming languages and Connectors for different technologies and databases. Live Demos included.

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Apache Kafka Streams + Machine Learning (Spark, TensorFlow, H2O.ai)

Posted in Analytics, Apache Kafka, Apache Spark, Big Data, Confluent, Hadoop, Integration, Kafka Connect, Kafka Streams, Machine Learning, Messaging, Microservices, Open Source, Stream Processing on May 23rd, 2017 by Kai Wähner

I started at Confluent in May 2017 to work as Technology Evangelist focusing on topics around the open source framework Apache Kafka. I think Machine Learning is one of the hottest buzzwords these days as it can add huge business value in any industry. Therefore, you will see various other posts from me around Apache Kafka (messaging), Kafka Connect (integration), Kafka Streams (stream processing), Confluent’s additional open source add-ons on top of Kafka (Schema Registry, Replicator, Auto Balancer, etc.). I will explain how to leverage all this for machine learning and other big data technologies in real world production scenarios.

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