Kubernetes has become a defacto standard for hosting applications.

Here are 13 K8s specific definitions you must understand to excel at it:

1/13: Node:

It is a machine that runs containerized workloads as part of a Kubernetes cluster. A node can be a physical machine or a virtual machine and can be hosted on-premises or in the cloud.

2/13: Docker:

Helps in the creation of containers that include apps and their binaries.

3/13: Pods

A basic building block of Kubernetes. It is the smallest and simplest unit in the K8S object model. It's also a group container. Only containers of same pod can share shared storage.

4/13: Service:

It is an abstraction which defines a logical set of pods and a policy by which to access them.

5/13: Jobs:

It creates pod(s) and ensures that a specified number successfully completed. When it completes specified number successfully, the job is considered complete.

6/13: Cronjobs:

Job scheduler in K8s. It creates Jobs on a repeating schedule.

7/13: Replicasets:

It ensures how many replica of pod should be running at any given time.

8/13: Namespaces:

Logical separation between teams and their environments. It allows various teams to share k8s cluster by providing isolated workspace.

9/13: Deployment:

It specifies the desired state of pods for declar­­ative updates.

10/13: Daemonset:

It ensures a particular pod is run on some or all nodes.

11/13: Persistent Volume:

Persistent storage in the cluster with an indepe­­ndent lifecycle.
It is a convenient way to request and consume storage resources. They live within a k8s cluster and can outlive other k8s pods to retain data for long periods of time.

12/13: Persistent Volume Claim:

Request for storage (for a Persi­­ste­­nt­V­o­lume) by a user. Claims can request specific sizes and access modes (e.g., they can be mounted once read/write or many times read-only).

13/13 Ingress:

An Ingress is a collection of rules that allow inbound connec­­tions to reach the cluster services.

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