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
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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