Jakub Scholz

Strimzi makes it easy to run Apache Kafka on Kubernetes. But persistent volumes and high-throughput cross-zone traffic can quietly become major cost drivers. In this talk, we’ll show how you can use OpenCost and NetObserve to build an open source, cost-aware view of our Kafka infrastructure — and...

Autoscaling is an important part of modern cloud-native architecture. It allows applications to handle a big load at peak times while helping to optimize costs and make deployments more green and sustainable at the same time. Apache Kafka is well known for its scalability. It can grow with your project from a small cluster up to hundreds of brokers. But it was not very elastic for a long time and using dynamic autoscaling with it was very hard. This talk will guide the attendees through the main challenges of auto-scaling Apache Kafka on Kubernetes. It will show how these challenges can be solved with the help of new features added recently in Strimzi and Apache Kafka projects such as auto-rebalancing, node pools, or tiered storage. And it will help the users get started with the auto-scaling of Apache Kafka.

For years, Apache Kafka relied on Apache ZooKeeper for maintaining its metadata and coordination. But that is coming to an end. After a lot of work in the Apache Kafka community, ZooKeeper is going away from Apache Kafka and it will be replaced with its own Raft-inspired implementation called...

Kubernetes became the de-facto standard for running cloud-native applications. And more and more users turn to it also to run stateful applications such as Apache Kafka. While there are different tools such as Helm charts or operators which can get you quickly up and running, there is often still a...