Kubernetes Administration and CKA Certification Training
This Kubernetes (K8s) course teaches attendees how to create, manage, and deploy a K8s application. It is also excellent preparation for the Certified Kubernetes Administrator (CKA) certification. The CKA exam is a hands-on, performance-based exam administered by the Linux foundation that tests the ability to administer Kubernetes clusters.
Become a Linux Foundation Certified Kubernetes Administrator (CKA)! As a Linux Authorized Training Partner, we offer an exclusive CKA training program with a series of value adds to help you develop the skills you need to master K8s and earn certification. Web Age provides many resources to help you master your skills and ace the exam, including exam vouchers, prep time with your instructor, sandbox access, and more.
Duration
Prerequisites
- Understand Linux administration skills
- Comfortable using the command line
- Be able to edit files using a command-line text editor
- Experience with containers, and networking
Skills Gained
- Create a Kubernetes cluster, including installing the necessary components, configuring the cluster, and adding nodes
- Deploy applications to Kubernetes by creating pods, services, and storage
- Manage Kubernetes resources with scaling, autoscaling, and updating applications
- Secure Kubernetes by configuring authentication, authorization, and admission control.
- Troubleshoot Kubernetes by monitoring logs, diagnosing application failures, and troubleshooting network access
- Introduction
- Kubernetes Concepts
- Kubernetes Basics
- Container Orchestration
- Kubernetes Architecture
- Kubernetes Concepts
- Cluster and Namespace
- Control Plane
- Nodes
- Pods
- Storage
- Services
- Objects
- Object Specifications
- Labels & Selectors
- Tools (kubeadm, kubectl)
- Essential K8S commands
- Essential Linux commands
- Installation and Configuration
- Installing kubeadm
- Obtaining Nodes
- Installing Kubelet
- Installing kubectl
- Initializing the control plane
- Setup kubeconfig file
- Joining nodes to the cluster
- Verifying the cluster
- Cluster Administration
- Cluster Components
- Installation and Setup
- Security
- Resource management
- Scheduling
- Monitoring
- Logging
- Scaling
- Autoscaling
- High Availability
- Upgrading the cluster version
- Backup and restore the etcd store
- Workloads
- Application Images
- Deploying Pods
- Deploying Workloads
- Self-healing applications
- Deployments
- Deployment States
- Replica Sets
- Daemon Sets
- Scaling a workload
- Autoscaling a workload
- Deleting workloads
- Updating a workload image
- Update strategies
- Rolling updates
- Rolling back an update
- Scheduling
- Pod Scheduling
- Resource usage basics
- Setting Resource Limits
- Resource Requests
- Resource Quotas
- Optimizing Resource Usage
- Node Affinity
- Pod Affinity
- Taints
- Tolerations
- Services
- Available Service Types
- ClusterIP Service
- NodePort Service
- LoadBalancer Service
- Creating services
- Accessing workloads through services
- Networking
- K8s Networking Overview
- Ingress Controller
- Ingress Resources
- Resource Discovery
- CoreDNS
- Configuring CoreDNS
- Port forwarding
- Storage
- Storage Classes
- EmptyDir
- HostPath
- Persistent volumes
- Persistent volume claims
- NFS share volumes
- Cloud storage volumes
- Access Modes
- Reclaim Policies
- Configuring persistent storage for workloads
- Secrets
- Config Maps
- Security
- Securing the API
- Securing ETCD
- Securing Worker nodes
- Securing images
- Authentication
- Authorization
- Admission Controller
- Securing cluster access
- Kubectl config
- RBAC Role Based Access Control
- Pod policies
- Network Policies
- Troubleshooting
- Logs and log access
- Standard output and error logs
- Workload monitoring
- Application failure
- Network access troubleshooting
- Troubleshooting cluster components
- Conclusion
