Kubernetes production clusters are typically run on cloud platforms. However, running and deploying Kubernetes applications on cloud platforms such as Google Kubernetes Engine is costly. These high costs can restrict the Kubernetes learning process for beginners. However, running Kubernetes clusters locally helps you efficiently test applications without disrupting the production environment or paying for cloud services.
To make things easier, the Kubernetes team developed two tools, Minikube and Kind, that allow Kubernetes users to run clusters locally without spending a dollar. This article will cover how to do it with Kind. Kind is a command-line tool used to run Kubernetes clusters locally on your computer using Docker containers. Kind works with Docker by loading Docker containers into Kind clusters. A Kubernetes cluster is a group of nodes used to run containerized applications.
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