single-node vs multi-node

A single-node cluster in Kubernetes refers to a setup where the entire Kubernetes cluster runs on just one physical or virtual machine. In such a configuration:

• Master Node: This single node acts as both the control plane (master) and worker node. It runs all the control plane components like the API server, scheduler, and controller manager, as well as user workloads.

• Worker Node: In a single-node cluster, there is effectively no distinction between worker and master nodes since all components run on the same machine.

This setup is typically used for development, testing, or small-scale deployments where having multiple nodes for redundancy, scalability, or fault tolerance isn't a requirement. However, it's important to recognize that single-node clusters lack the redundancy and high availability benefits of multi-node clusters.

A multi-node cluster

in Kubernetes refers to a setup where the Kubernetes cluster consists of multiple physical or virtual machines, each serving a specific role:

• Master No

• de: One or more nodes act as the control plane (master) for the cluster. These nodes run essential Kubernetes components such as the API server, scheduler, and controller manager. In a multi-node cluster, these components typically run on separate machines for redundancy and high availability.

• Worker Node: These nodes run the actual workloads (containers) as scheduled by the master node. They host pods, which are the smallest deployable units in Kubernetes. Worker nodes are responsible for running applications, managing storage, networking, and other tasks related to running containers.

• Yes, if you have only one node attached to your Amazon EKS cluster, it would typically be referred to as a single-node cluster. In such a configuration, all Kubernetes components, including the control plane and worker node, are running on a single EC2 instance.