In the first part of the series, we have learnt about Strimzi and deployed a Kafka Cluster on Minikube and also tested our cluster with the console producer/consumer of the Kafka package. In the second part, we have built a producer application with Go and a consumer application with Scala, created Dockerfiles and Kubernetes deployment files and published them to the Kubernetes.
From the look of the logs it seems like our applications and Kafka are performing well. But we had no idea how they are really performing. That’s why we need some monitoring tools to easily monitor our cluster. In the last part of the series, we are going to use Prometheus and Grafana to fulfill our destiny! …
In the previous post, we have learnt about Strimzi and deployed a Kafka Cluster on Minikube and also tested our cluster. Now, let’s build a Producer application with Go and a Consumer application with Scala language, deploy them on Kubernetes and see how it all works.
This is the Part 2 of the Apache Kafka on Kubernetes with Strimzi blog post. In case you haven’t read the previous post, I recommend you to check it out:
In this blog post series, we are going to see how we can deploy and configure Apache Kafka on Kubernetes, produce and consume messages from a Go application to a Scala application and monitor our Kafka cluster with Prometheus and Grafana. So sit back, relax and enjoy, as we are going to learn some exciting stuff 🙂
We’re going to cover all these in a three part blog post: