Paolo is a Senior Principal Software Engineer working for Red Hat on the messaging and data streaming team. He is a maintainer of Strimzi, a CNCF incubating project for running Apache Kafka on Kubernetes using operators. In his previous role, he worked on different integration projects such as an AMQP bridge for Apache Kafka and Spark, and on the EnMasse messaging-as-a-service project to enable the integration with MQTT. He is also a maintainer for different IoT related components in Eclipse Vert.x and Eclipse Paho projects. He has spoken at numerous national and international conferences about Kafka, Strimzi, and IoT, including KubeCon and DevNation. Finally, he is CNCF ambassador and he has been a Microsoft MVP for the Azure category since 2014.
Nowadays, Kubernetes has become one of the most popular platforms for many workloads; from databases, to data streaming systems, to microservices-based applications. However, managing these workloads using only the Kubernetes native resources is not easy. Especially when it comes to day 2 operations like upgrades and scaling. Helm charts can help to a certain extent, but they don’t solve all the potential problems.
What you need is an operator, not a human one, looking after your Kubernetes workloads 365/24/7. In the end, this is how the internal mechanics of a Kubernetes cluster works, so why not use the same approach for your own applications?
During this session we’ll explore what the “operator pattern” is and how a software-based operator, with the necessary domain-specific knowledge, can take care of your Kubernetes workloads; helping with installation, upgrades, certificate management, and reducing the need for human intervention. We’ll also demonstrate a real operator in practice - the open-source Java-based operator Strimzi which manages Apache Kafka clusters in a cloud-native way.
Searching for speaker images...