Kubernetes Certification Training Course: Administrator (CKA)

The Kubernetes Certification Training Course: Administrator (CKA) is designed to provide learners with comprehensive knowledge of container orchestration, deployment, and management using Kubernetes. This course is ideal for DevOps engineers, system administrators, and IT professionals who want to build expertise in managing Kubernetes clusters. By gaining proficiency in Kubernetes, you significantly enhance your career prospects in the world of cloud-native technologies.

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Why Enroll in the Kubernetes Certification Training Course (CKA)?

Master Container Orchestration: Learn to manage and orchestrate containerized applications.

Career Growth: Gain a globally recognized certification in high-demand Kubernetes skills.

Hands-on Labs: Work on real-world Kubernetes clusters.

In-Demand Skills: Learn deployment, networking, security, and cluster management.

Globally Recognized Certification: Showcase your Kubernetes expertise to employers worldwide.

Course Description

The CKA Certification validates your skills in deploying, managing, and troubleshooting Kubernetes clusters, along with core concepts like networking, security, and storage management.

1. DevOps professionals working with containerized applications. 2. System administrators managing cloud infrastructure. 3. IT professionals aiming to enhance their cloud computing skills. 4. Beginners looking to build a career in cloud-native technologies.

1. Comprehensive curriculum covering Kubernetes administration. 2. Hands-on practice with real-world scenarios. 3. 24/7 expert support for technical guidance.

What you'll learn

  • Kubernetes Architecture: Understanding the master node, worker nodes, and API server.
  • Pod Management: Deploying, updating, and scaling applications using Pods.
  • Networking: Implementing service discovery, load balancing, and DNS in Kubernetes.
  • Storage Management: Configuring persistent volumes and volume claims.
  • Security: Role-based access control (RBAC), TLS encryption, and securing the cluster.
  • Cluster Maintenance: Managing Kubernetes cluster updates and backups.
  • Troubleshooting: Debugging common Kubernetes issues.

Requirements

  • Basic Linux Knowledge: Familiarity with Linux command-line is recommended.
  • Containerization Basics: Understanding Docker or other container runtimes is beneficial.

Curriculum Designed by Experts

 

  • Kubernetes Core Concepts
  • Kubectl common commands
  • Understanding Pods
  • Configure network on cluster nodes
  • Pod Networking Concepts
  • Setting up a cluster - Kubernetes Certificates

 

  • Perform basic kubectl commands
  • Deploy pods and use init containers to pre-set an environment
  • Configure Kubernetes network using Calico
  • Use certificates to authenticate resources

 

  • Services and Controllers
  • Service Networking
  • Deploy and configure network Load Balancer
  • Primitives necessary for self-healing apps
  • Effects of resource limiting on pod scheduling
  • Configure Kubernetes Scheduler
  • Running multiple Schedulers

 

  • Deploy different kinds of services
  • Deploy and configure a network load balancer
  • Configure the Kubernetes scheduler
  • Run multiple schedulers

 

  • ReplicaSet and ReplicationController
  • DaemonSets
  • Deployments
  • Rolling updates and Rollbacks
  • Scaling applications
  • Ingress

 

  • Deploy different ReplicationControllers
  • Use DaemonSets on nodes
  • Manage pod updates using Deployments
  • Use HPA for dynamic workload management
  • Use Ingress controller and rules to manage network traffic

 

  • PersistentVolume and PersistentVolumeClaim
  • Access modes for volumes
  • Primitives for PersistentVolumeClaim
  • Secrets and ConfigMaps in your pods
  • Storage classes
  • Headless services
  • StatefulSets

 

  • Deploy PersistentVolume and PersistentVolumeClaim
  • Use Secrets and ConfigMaps in your applications
  • Use StorageClass for dynamic storage allocation
  • Use stateful applications for sticky identities for pods
  • Deploy a highly available replicated MariaDB cluster

  • Authentication
  • Authorization
  • Kubernetes security primitives
  • Configure Network Policies
  • Security Contexts

  • Create and use Roles and RoleBindings
  • Define custom Egress and Ingress policies
  • Use probes and configure a restart policy for pods
  • Define privilege and access control using security contexts

  • Monitoring the cluster using Prometheus
  • Visualizing cluster logs using EFK stack
  • Jobs
  • ETCD operations
  • Helm Charts

  • Monitor cluster using Prometheus
  • Visualize logs using the EFK stack
  • Deploy jobs to run tasks to completion
  • Manage etcd cluster
  • Use Helm Charts

  • Troubleshooting application failures
  • Troubleshooting cluster failures

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  • Interview Preparation Sessions
  • Job Placement Assistance

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