Kubernetes (K8s) is a popular platform for deploying distributed systems and services in the cloud or on-premises. We built Redpanda to run on a variety of Kubernetes environments with ease. You can deploy Redpanda in a matter of minutes using our Kubernetes operator on any operating system, locally or with a variety of cloud providers.
Kubernetes environments supported by Redpanda
Redpanda supports public cloud and on-premises Kubernetes engines as well as options for local development on your machine.
Kubernetes environments supported for local development include kind and minikube. These options are popular with developers wanting to run a lightweight solution on their machines as part of a larger Apache-Kafka®-based development workflow.
For running clusters in the cloud, you can easily deploy Redpanda on public cloud Kubernetes environments, including those available on Amazon AWS, Google Cloud Platform (GCP), and DigitalOcean.
In the sections below, we explain how to get started with each of these environments.
Redpanda on Kubernetes with kind
Kind is a fast and lightweight solution for running Kubernetes on MacOS, Windows, or Linux. You can use kind to deploy Redpanda on your development machine or laptop.
With Redpanda deployed on kind, you can support your development workflow for your existing applications, or to provide a development/test environment. This includes situations where you might want to spin up Redpanda for Continuous Integration/ Continuous Deployment (CI/CD). In these scenarios, Redpanda can be deployed on Kubernetes via kind,a simple and lightweight solution for running Kubernetes on MacOS, Windows, or Linux.
Follow our Kubernetes quickstart for kind to deploy Redpanda with kind.
Redpanda on Kubernetes with minikube
Minikube is another solution that is lightweight and great for beginners. You can use minikube to run a one-node cluster on your development laptop or other local environment.
Follow the Kubernetes quickstart with minikube to create a local Kubernetes cluster in which Redpanda is deployed. The minikube quickstart verifies that the Kafka API port is exposed to your local network so that you can interact with Redpanda from your local machine.
Redpanda on public cloud Kubernetes engines
If you want to run Redpanda on the public cloud of your choice, for a production environment or perhaps for CI/CD and application testing, we make that simple too!
The Kubernetes quickstart for cloud walks you step-by-step through the process to install Redpanda on Amazon EKS, Google Kubernetes Engine (GKE), and DigitalOcean
Cluster management with RPK
Once you have Redpanda set up, you can use
rpk, Redpanda’s CLI utility, to interact with Redpanda. The quickstarts mentioned in this post show you how to execute some basic commands, such as
consume, but you don’t need to stop there! Use the rpk commands reference to see what else
rpk can do for you.
We welcome any feedback you have about our Kubernetes support and quickstart guides. If something didn’t work for you, let us know so we can improve the documentation. Chat with us on Slack or leave us a GitHub issue. We look forward to hearing from you!
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