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Kubernetes In a Nutshell

Kubernetes In a Nutshell

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Kubernetes is a system for running and coordinating containerized applications.

These applications are deployed across a cluster of machines.

As a Kubernetes user, you define how the application should run.

You also define how the application should interact with other applications or the outside world.

Kubernetes brings together machine servers into a cluster using a shared network.

Master server(s) controls the entire cluster.

Nodes are the other servers in the cluster.

As a Kubernetes user, you might most want to ask Kubernetes to run a container via HTTP APIs or CLI.

In other words, you set a desired state to the Master server.

The Master server compares the desired state to the current state in the cluster and decides which node to run.

Node servers receive instructions from the Master server and then starts a container in the runtime.

Kubernetes runs applications and services in container runtime on every node.

Each node installs with a container runtime, such as docker, rkt.

The container runtime is responsible for starting and managing containers.

The container provides an isolated environment for running the application.

Except the container runtime, the Node server runs kubelet and kube-proxy.

Kubelet communicates to the master to receive desired states.

Kubelet controls the container runtime to launch or destroy containers to match the desired states.

Kube-proxy forwards requests to the containers, either in localhost or other hosts.

As a Kubernetes user, you don't necessarily need to know the existence of kubelet and kube-proxy.

A Pod is one or more containers in a group that should always run on the same node.

All containers in a pod are launched and destroyed together, or share a life cycle.

All containers in a pod share their environments, volumes, and IP space.

Usually, there is one main container and some optional sidecar containers in a pod.

As a Kubernetes user, you can show all pods in the cluster by typing kubectl get pods.

A ReplicaSet is one or more pod replicas that are running at any given time.

The replica number in the ReplicaSet defines how many identical pods should be scheduled in the cluster.

If the replica number changes, the controller will start or destroy containers to match the desired number.

If a pod or underlying node, the controller will start a new pod in the cluster.

A Deployment is a desired state for ReplicaSets.

The deployment controller creates new replicasets for the rolling updates and then replaces the current replicaset.

For database applications, we cannot directly kill pods in random order.

Instead, we often kill all slaves and let the master die at last.

To support the ordering and uniqueness of Pods, Kubernetes offers StatefulSet.

It creates a set of pods in the name like db-0, db-1, db-2, etc.

It provides guarantees about the ordering and uniqueness of these Pods.

For applications like logging agents, we want to deploy them per host.

To support such feature, Kubernetes offers DaemonSet.

It ensures that all (or some) Nodes run a copy of a Pod.

As nodes are added to the cluster, Pods are added to them.

As nodes are removed from the cluster, those Pods are garbage collected.

Deleting a DaemonSet will clean up the Pods it created.

Some Kubernetes objects are owners of other objects.

For example, a ReplicaSet is the owner of a set of Pods.

When the owner is deleted, the owned objects are garbage collected as well.

In case you have one-off jobs, Kubernetes offers Jobs.

A job creates one or more pods and ensures that a specified number of them successfully terminate.

When a specified number of successful completion is reached, the job itself is complete.

Deleting a Job will clean up the pods it created.

What if one pod wants to communicate to other pods? Kubernetes offers Services.

A Service is a component that acts as a basic internal load balancer for pods.

The Service exposes a group of pods as a single entity. When one pod communicates to a service, the service proxies the request to one of the backend pods.

A Service has a DNS A record.

For example, Service "foo" in namespace "default" has such domain: "foo.default.svc.cluster.local".

A Pod has a DNS A record as well.

For example, Pod with IP in the namespace "default" has such domain: "10-81-1-101.default.pod.cluster.local".

What if one service wants to expose itself to the external world? Kubernetes offers Ingress.

Ingress exposes HTTP and HTTPS routes from outside the cluster to services within the cluster.

Ingress controller starts Ingress software, such as Nginx, F5, HAProxy, etc.

If the container dies or the node crashes, all files in the containers are gone.

To keep the data, Kubernetes provides Volumes for persisting on-disk files.

A Volume is just a directory, possibly with some data in it, which is accessible to the Containers in a Pod.

When the container gets restarted, the volume is re-mounted into the container, and thus all data are recovered.

A PersistentVolume is a piece of storage in the cluster that has been pre-provisioned.

The PersistentVolume is a resource in the cluster just like a node is a cluster resource.

Often PersistentVolume uses cloud storage system like AWS EBS, Azure Disk, GCE PD, etc.

The PersistentVolume makes the volume out of Pod life-cycle.

A PersistentVolumeClaim is a request for PersistentVolume.

Once a pod is done with a PersistentVolume, the claim policy determines if the existing volume should be kept or removed.

Kubernetes is a complicated system that has dozens of concepts.

The official document provides a complete guide to the concepts.

Other resources that kill less your brain cells.

Kubernetes Gets a Children’s Book
Kubernetes Gets a Children's Book

Smooth Sailing with K8S
Smooth Sailing with k8s

kubernetes api server as event queue
Events, the DNA of Kubernetes

Top comments (1)

ankitbansal profile image
Ankit Bansal

Very useful to get started with the building blocks of Kubernetes. Thanks for sharing.