Paolo Patierno

Paolo is a Principal Software Engineer working for Red Hat on the messaging and IoT team. He is a maintainer of Strimzi, a CNCF sandbox project for running Apache Kafka on Kubernetes using operators. In his previous role, he worked on different integration projects about AMQP with Apache Kafka and Spark and on the EnMasse messaging-as-a-service project about the integration with MQTT. He is maintainer for different IoT related components in Eclipse Vert.x and Eclipse Paho projects. He is also Microsoft MVP on Azure since 2014. Finally, he has spoken at numerous national and international conferences about Kafka, Strimzi, and IoT.

Recent Posts

Introduction to Strimzi: Apache Kafka on Kubernetes (KubeCon Europe 2020)

Introduction to Strimzi: Apache Kafka on Kubernetes (KubeCon Europe 2020)

Apache Kafka has emerged as the leading platform for building real-time data pipelines. Born as a messaging system, mainly for the publish/subscribe pattern, Kafka has established itself as a data-streaming platform for processing data in real-time. Today, Kafka is also heavily used for developing event-driven applications, enabling the services in your infrastructure to communicate with each other through events using Apache Kafka as the backbone. Meanwhile, cloud-native application development is gathering more traction thanks to Kubernetes.

Thanks to the abstraction layer provided by this platform, it’s easy to move your applications from running on bare metal to any cloud provider (AWS, Azure, GCP, IBM, and so on) enabling hybrid-cloud scenarios as well. But how do you move your Apache Kafka workloads to the cloud? It’s possible, but it’s not simple. You could learn all of the Apache Kafka tools for handling a cluster well enough to move your Kafka workloads to Kubernetes, or you could leverage the Kubernetes knowledge you already have using Strimzi.

Note: Strimzi will be represented at the virtual KubeCon Europe 2020 conference from 17-20 August 2020. See the end of the article for details.

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