Senior Principal Software Engineer, Red Hat

Matthias Wessendorf

Matthias Wessendorf works on the Messaging team at Red Hat, focusing on event-driven architectures, data-streaming, and serverless workloads. He is an active contributor to the Knative project. Matthias is a regular speaker at international conferences and is a long standing member of the Apache Software Foundation.

Matthias Wessendorf's contributions

Serverless Kafka

Serverless Kafka on Kubernetes

editorial-team + 1

In this session, we will walk through an end-to-end demo, showing the lifecycle of an event-driven application based on Apache Kafka.

Eclipse Vert.x

Processing CloudEvents with Eclipse Vert.x

matthias-wessendorf.png Matthias Wessendorf

How to generate or process CloudEvents using Vert.x. CloudEvents describe event data in a common, standardized way based on a spec from CNCF

CloudEvent Flow

EventFlow: Event-driven microservices on OpenShift (Part 1)

Hugo Hiden + 2

This post is the first in a series that describes a lightweight cloud-native distributed microservices framework called EventFlow that targets the Kubernetes/OpenShift platforms and models event-processing applications as a connected flow or stream of components. EventFlow can be used to develop event-processing applications that can process CloudEvents, which are an effort to standardise upon a data format for exchanging information regarding events generated by cloud platforms.

Apache Kafka on OpenShift

Smart-Meter Data Processing Using Apache Kafka on OpenShift

Hugo Hiden + 2

Learn how to process and aggregate huge streams of IoT data using Strimzi and Apache Kafka on Red Hat OpenShift. The data stream is processed using the Red Hat AMQ distributed streaming platform to perform aggregations in real time as data is ingested into the application.