How Kubernetes work internally?

1. How Kubernetes work internally?
Kubernetes works internally by using a cluster architecture consisting
of master nodes and worker nodes. The master node oversees the
entire cluster, managing the control plane components such as the API
server, etcd (key-value store), scheduler, and controller manager.
The API server is the main entry point for interacting with Kubernetes.
It exposes a RESTful API that can be used to create, update, and
delete resources. The etcd key-value store is used to store the cluster
state. This includes information about pods, services, and other
resources.
The scheduler is responsible for assigning pods to worker nodes. It
takes into account factors such as the availability of resources, the load
on the nodes, and the affinity and anti-affinity rules for the pods.
The controller manager is responsible for ensuring that the desired
state of the cluster is maintained. This includes things like restarting
pods that fail, scaling pods up or down, and updating the configuration
of the cluster.
The worker nodes are the machines that run the pods. They are
responsible for provisioning resources for the pods, such as CPU,
memory, and storage. They also provide networking for the pods.
Kubernetes uses a set of concepts to manage containerized
applications. These concepts include:
Pods: A pod is a group of one or more containers that are deployed
together and share a network namespace and IP address.
Services: A service is a logical abstraction of a set of pods. It
provides a single point of access to the pods, and it can be used
to load balance traffic between the pods.
Deployments: A deployment is a way to manage the lifecycle of
pods. It can be used to create, update, and delete pods.

2. Replication controllers: A replication controller is a way to ensure
that a specific number of pods are running.
Kubernetes is a powerful tool that can be used to manage
containerized applications at scale. It provides a number of features
that make it easy to deploy, scale, and manage containerized
applications.
Here is a diagram of the Kubernetes architecture:
Code snippet
Master Node
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API Server
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etcd
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Scheduler
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Controller Manager
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Worker Node
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...
Use code with caution.