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Certified Kubernetes Administrator CKA/Acronyms/Part 1

Acronym study

CKA Acronyms — Part 1 of 2

Terms 1–30 of 33 CKA acronyms and key terms. Each entry includes a plain-English definition and a link to the full 800-word glossary page with exam context and practice questions.

Part 1 of 2Part 2 →

Term 1

ClusterIP NodePort LoadBalancer

ClusterIP, NodePort, and LoadBalancer are three types of Kubernetes Services that control how traffic reaches your application pods inside the cluster or from outside.

Full entry →
Full ClusterIP NodePort LoadBalancer glossary entry →

Term 2

CNI Plugins

CNI plugins are modular software components that configure container network interfaces according to the Container Network Interface specification, allowing containers to communicate within a Kubernetes cluster.

Full entry →
Full CNI Plugins glossary entry →

Term 3

ConfigMaps

A ConfigMap is a Kubernetes object that lets you store configuration data separately from your application code, so you can change settings without rebuilding or redeploying your container images.

Full entry →
Full ConfigMaps glossary entry →

Term 4

Container Runtime

A container runtime is software that runs containers by using the host operating system's kernel to isolate processes, manage filesystem layers, and handle networking.

Full entry →
Full Container Runtime glossary entry →

Term 5

CoreDNS

CoreDNS is a fast, flexible, and pluggable Domain Name System (DNS) server that is often used as the cluster DNS for Kubernetes, translating service names into IP addresses so containers can find each other.

Full entry →
Full CoreDNS glossary entry →

Term 6

DaemonSets

A DaemonSet is a Kubernetes object that ensures a copy of a specific pod runs on every node in a cluster, or on a subset of nodes.

Full entry →
Full DaemonSets glossary entry →

Term 7

Deployments

A Kubernetes resource that manages a set of identical Pods, ensuring they run the correct number of replicas and can be updated or rolled back without downtime.

Full entry →
Full Deployments glossary entry →

Term 8

etcd Backup and Restore

Etcd backup and restore is the process of saving and recovering the key-value store that holds all Kubernetes cluster data, ensuring the cluster can be rebuilt after a disaster or corruption.

Full entry →
Full etcd Backup and Restore glossary entry →

Term 9

Ingress Controller

An Ingress Controller is a specialized component that manages external access to services in a Kubernetes cluster by processing Ingress resources and routing traffic according to defined rules.

Full entry →
Full Ingress Controller glossary entry →

Term 10

Ingress Resources

Ingress Resources are Kubernetes API objects that manage external access to services inside a cluster, typically HTTP and HTTPS traffic, by defining rules for routing requests based on hostnames and paths.

Full entry →
Full Ingress Resources glossary entry →

Term 11

Jobs and CronJobs

A Kubernetes Job is a controller that runs one or more Pods to completion for a finite task, while a CronJob schedules Jobs to run at specific times or intervals.

Full entry →
Full Jobs and CronJobs glossary entry →

Term 12

kubeadm Cluster Setup

kubeadm is a command-line tool that helps you create and manage a Kubernetes cluster by automating the setup of control plane and worker nodes.

Full entry →
Full kubeadm Cluster Setup glossary entry →

Term 13

kubectl Command Reference

kubectl is the command-line tool used to interact with and manage Kubernetes clusters by sending commands to the Kubernetes API.

Full entry →
Full kubectl Command Reference glossary entry →

Term 14

kubectl Debug

kubectl debug is a Kubernetes command that creates a temporary container in a pod to help troubleshoot and diagnose issues without affecting the running application.

Full entry →
Full kubectl Debug glossary entry →

Term 15

Kubernetes Architecture

Kubernetes architecture is the structural design of a system that automatically deploys, scales, and manages containerized applications across a cluster of machines.

Full entry →
Full Kubernetes Architecture glossary entry →

Term 16

Kubernetes Node Roles

Kubernetes Node Roles are labels assigned to machines in a cluster that define whether a node runs application containers (worker) or manages the cluster (control plane).

Full entry →
Full Kubernetes Node Roles glossary entry →

Term 17

Kubernetes Services

A Kubernetes Service is a stable network endpoint that connects a set of pods to internal or external traffic, providing consistent access even as pods change.

Full entry →
Full Kubernetes Services glossary entry →

Term 18

Log Analysis

Log analysis is the process of reviewing and interpreting system-generated records to understand what happened in an application or infrastructure.

Full entry →
Full Log Analysis glossary entry →

Term 19

Network Policies

A Kubernetes resource that controls how pods communicate with each other and with other network endpoints, acting as a firewall for pod-to-pod traffic.

Full entry →
Full Network Policies glossary entry →

Term 20

Network Troubleshooting

Network troubleshooting is the systematic process of identifying, diagnosing, and resolving problems in a computer network to restore normal operation.

Full entry →
Full Network Troubleshooting glossary entry →

Term 21

Node Affinity

Node Affinity is a set of rules used by Kubernetes to determine which nodes a pod can be scheduled on, based on labels assigned to the nodes.

Full entry →
Full Node Affinity glossary entry →

Term 22

Node Failure Troubleshooting

Node failure troubleshooting is the process of identifying, diagnosing, and resolving issues when a worker node in a Kubernetes cluster becomes unavailable or unhealthy.

Full entry →
Full Node Failure Troubleshooting glossary entry →

Term 23

Persistent Volume Claims

A Persistent Volume Claim (PVC) is a request for storage resources in Kubernetes, allowing a pod to consume abstracted storage without knowing the underlying storage details.

Full entry →
Full Persistent Volume Claims glossary entry →

Term 24

Persistent Volumes

A Persistent Volume is a piece of storage in a Kubernetes cluster that has been provisioned by an administrator and exists independently of any single pod that uses it.

Full entry →
Full Persistent Volumes glossary entry →

Term 25

Pod Design

Pod Design refers to the patterns, strategies, and best practices for defining and structuring Kubernetes Pods to run containerized applications reliably and efficiently.

Full entry →
Full Pod Design glossary entry →

Term 26

Pod Failure Troubleshooting

Pod failure troubleshooting is the process of identifying and resolving issues that cause Kubernetes pods to crash, restart, or become unavailable.

Full entry →
Full Pod Failure Troubleshooting glossary entry →

Term 27

Resource Quotas

Resource Quotas are Kubernetes policies that limit the total amount of compute resources (like CPU and memory) that can be consumed by all containers running in a particular namespace.

Full entry →
Full Resource Quotas glossary entry →

Term 28

Secrets Management

Secrets Management is the practice of securely storing, accessing, and rotating sensitive information like passwords, API keys, and certificates in a controlled and automated way.

Full entry →
Full Secrets Management glossary entry →

Term 29

StatefulSets

A Kubernetes resource that manages stateful applications by providing stable network identities and persistent storage for each pod.

Full entry →
Full StatefulSets glossary entry →

Term 30

Storage Classes

A Storage Class in Kubernetes is a template that defines how persistent storage is provisioned automatically, including the type of storage, performance characteristics, and provisioning policies.

Full entry →
Full Storage Classes glossary entry →
Part 2 →

Acronym parts

Part 1currentPart 2

Study resources

All CKA Acronyms→CKA Practice Tests→CKA Study Guide→Exam Domains→