Kubernetes Skill Overview

Welcome to the Kubernetes Skill page. You can use this skill
template as is or customize it to fit your needs and environment.

    Category: Technical > Cloud computing platforms

Description

Kubernetes is a powerful open-source platform designed to automate deploying, scaling, and managing containerized applications. It groups containers into 'Pods' for easy management and discovery. Users can manage Kubernetes using a command-line interface called 'kubectl'. Advanced features include handling compute, network, and storage infrastructure on behalf of user workloads, and providing mechanisms for service discovery and load balancing. With Kubernetes, you can mount storage systems of your choice, automate rollouts and rollbacks, and scale your application as per your users' needs. Understanding Kubernetes requires knowledge of its architecture, components, and the ability to configure and manage clusters.

Expected Behaviors

  • Fundamental Awareness

    At this level, individuals have a basic understanding of Kubernetes. They are aware of its purpose and benefits, understand the architecture, and know about key components like Pods and Services. However, they may not yet be able to apply this knowledge in a practical setting.

  • Novice

    Novices can install and configure a simple Kubernetes cluster and use the kubectl command-line tool. They understand Kubernetes API primitives and can create and manage Pods. They also have an understanding of Kubernetes namespaces.

  • Intermediate

    Intermediate users can set up and manage a multi-node Kubernetes cluster. They understand the Kubernetes networking model and can use volumes for persistent storage. They can deploy applications using Deployments and Services, understand ConfigMaps and Secrets, and monitor and debug clusters.

  • Advanced

    Advanced users can utilize advanced Kubernetes features like StatefulSets, DaemonSets, and Jobs. They understand security best practices and can set up high-availability clusters. They can work with ingress controllers, service discovery, load balancing, and automate deployments using Helm charts.

  • Expert

    Experts have a deep understanding of Kubernetes internals and can customize the scheduler. They can design and implement complex architectures, manage multi-cluster environments through federation, understand networking plugins, develop custom operators, and perform performance tuning and optimization.

Micro Skills

Familiarity with the concept of container orchestration

Understanding the difference between a Pod and a Node

Awareness of the role of the Kubernetes Master

Understanding the need for Kubernetes in managing containerized applications

Awareness of how Kubernetes improves deployment speed

Knowledge of how Kubernetes enhances application scalability and availability

Understanding the role of the Control Plane

Familiarity with the function of the Worker Nodes

Awareness of the purpose of the etcd key-value store

Basic understanding of what a Pod is and its role in running containers

Familiarity with the concept of Services for network access

Awareness of other components like Deployments, ReplicaSets, and StatefulSets

Knowledge of hardware requirements

Understanding of software requirements

Ability to install and use kubeadm

Ability to install and use minikube

Understanding of master node configuration

Understanding of worker node configuration

Understanding of kubeconfig files

Understanding of Kubernetes API server configuration

Knowledge of the role of master and worker nodes

Experience with Kubernetes installation tools like kubeadm, minikube

Knowledge of node maintenance and updates

Understanding of cluster networking

Knowledge of Pod networking

Understanding of Service networking

Familiarity with Network Policies

Experience with Ingress controllers

Understanding of Volume types

Experience with Persistent Volumes and Persistent Volume Claims

Knowledge of Storage Classes

Understanding of volume lifecycle

Understanding of Deployment strategies (Rolling update, Recreate)

Experience with managing application state using ReplicaSets

Knowledge of Service types (ClusterIP, NodePort, LoadBalancer)

Understanding of label selectors

Ability to create and use ConfigMaps

Understanding of Secret management

Experience with environment variables and command-line arguments in Pods

Knowledge of mounting ConfigMaps and Secrets as volumes

Experience with Kubernetes logging

Understanding of Kubernetes events

Knowledge of Kubernetes monitoring tools (Prometheus, Grafana)

Ability to troubleshoot common Kubernetes issues

Understanding of the use cases for StatefulSets, DaemonSets, and Jobs

Ability to create and manage StatefulSets, DaemonSets, and Jobs

Experience with rolling updates and rollbacks for StatefulSets

Understanding of how DaemonSets schedule Pods on nodes

Knowledge of Kubernetes RBAC

Experience with Pod Security Policies

Understanding of network policies in Kubernetes

Familiarity with Kubernetes secrets management

Understanding of Kubernetes master components for cluster control plane

Experience with setting up a multi-master Kubernetes cluster

Knowledge of strategies for disaster recovery in Kubernetes

Experience with managing worker nodes in a high-availability cluster

Understanding of the role of Ingress in Kubernetes

Experience with setting up and configuring an Ingress controller

Knowledge of different Ingress controller options (Nginx, Traefik, etc.)

Experience with defining and managing Ingress resources

Knowledge of Service types in Kubernetes (ClusterIP, NodePort, LoadBalancer)

Understanding of how Kubernetes implements service discovery

Experience with using Services for load balancing in Kubernetes

Understanding of Helm as a package manager for Kubernetes

Experience with creating and managing Helm charts

Knowledge of Helm repositories

Experience with Helm release management

Understanding of etcd and its role in Kubernetes

Knowledge of how Kubernetes components interact

Understanding of the Kubernetes control plane

Familiarity with the Kubernetes API server

Ability to configure multiple schedulers

Understanding of scheduler algorithms

Experience with priority and preemption in scheduling

Knowledge of node/pod affinity and anti-affinity

Experience with multi-region clusters

Understanding of service mesh architectures

Knowledge of distributed storage solutions for Kubernetes

Experience with disaster recovery strategies in Kubernetes

Understanding of cluster federation concepts

Ability to set up and manage federated clusters

Experience with cross-cluster service discovery

Knowledge of multi-cluster ingress

Experience with CNI (Container Network Interface)

Knowledge of various networking plugins like Calico, Flannel, Weave

Understanding of network policies

Experience with network troubleshooting in Kubernetes

Understanding of Operator pattern in Kubernetes

Experience with Operator SDK

Ability to write operators in Go/Ansible/Helm

Knowledge of Custom Resource Definitions (CRDs)

Understanding of resource quotas and limits

Experience with cluster autoscaling

Knowledge of pod autoscaling

Experience with performance monitoring and benchmarking tools

Tech Experts

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StackFactor Team
We pride ourselves on utilizing a team of seasoned experts who diligently curate roles, skills, and learning paths by harnessing the power of artificial intelligence and conducting extensive research. Our cutting-edge approach ensures that we not only identify the most relevant opportunities for growth and development but also tailor them to the unique needs and aspirations of each individual. This synergy between human expertise and advanced technology allows us to deliver an exceptional, personalized experience that empowers everybody to thrive in their professional journeys.
  • Expert
    2 years work experience
  • Achievement Ownership
    Yes
  • Micro-skills
    95
  • Roles requiring skill
    15
  • Customizable
    Yes
  • Last Update
    Mon Jun 03 2024
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