Exploring Kafka listeners

Exploring Kafka listeners

Some time ago I started to explore the world of Kafka in my new project. While my wife still thinks I joined a literature club, I realize this distributed baby is no joke.

Let’s see how we can pimp our Kafka cluster to help us address some of the day-to-day problems we face when introducing our corporate (or startup) Apps ecosystems to the world of distributed messaging madness!


Some time ago I started to explore the world of Kafka in my new project. While my wife still thinks I joined a literature club, I realize this distributed baby is no joke.

I would like to share some experience, tips, and tricks of a DevSecOps guy with a genuine interest in exploring what is trendy and cool nowadays.

To set a context, I will be talking about running Kafka in AKS (Azure Kubernetes services). In our project, we did not go for a Kafka operator and we decided to use (and customize) the confluent helm charts. As far as I know, those are not officially supported, so one might need to tweak and customise them here and there.

We also decided not to use any available service mesh (such as linkerd or istio) for our setup. The reason was mainly a fear of the significantly increased complexity of managing a service mesh on top of Kafka. For our case it looked a bit like overkill — only time will tell if we were right.

Few examples (and fuel for future posts):

  • Utilization of multiple Kafka listeners (discussed in this article)
  • DNS based service discovery setup (for brokers and zookeeper)
  • Integration with configuration and secret management system (Azure AppConfig and Keyvaults)
  • Implementing security in transfer — TLS interfaces
  • Introduction of more zookeepers to increase resiliency

kafka azure-kubernetes-service devsecops architecture security

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