Certified Kubernetes Application Developer (CKAD) Course Overview

Target Audience for Certified Kubernetes Application Developer (CKAD)

1. The Certified Kubernetes Application Developer (CKAD) course is designed for professionals seeking expertise in building, deploying, and configuring applications in Kubernetes.

   
   

• Software Developers and Engineers familiar with containerization concepts
• DevOps Engineers focusing on Continuous Integration and Continuous Deployment (CI/CD) workflows
• Cloud Engineers working with Kubernetes on cloud platforms like AWS, GCP, and Azure
• Systems Administrators looking to manage containerized applications
• IT Professionals seeking to validate their Kubernetes skills with a certification
• Application Architects designing scalable and fault-tolerant applications on Kubernetes
• Site Reliability Engineers (SREs) ensuring application reliability and performance in a Kubernetes environment
• Technical Leads overseeing development teams working with Kubernetes
• Product Managers who need to understand the technical aspects of Kubernetes to manage product lifecycles effectively
• Technical Support Staff providing assistance for Kubernetes-based applications and infrastructure

Learning Objectives - What you will Learn in this Certified Kubernetes Application Developer (CKAD)?

1. Introduction: The Certified Kubernetes Application Developer (CKAD) course equips participants with the essential skills to design, build, and run applications on Kubernetes, covering core concepts to state persistence.

2. Learning Objectives and Outcomes:

• Understand the essential Kubernetes API primitives and architecture for creating robust applications.
• Design and orchestrate containers within a Kubernetes cluster to ensure high availability and resilience.
• Manage Kubernetes resources and understand the extension mechanisms through Custom Resource Definitions (CRDs).
• Implement security best practices using ConfigMaps, Secrets, and ServiceAccounts.
• Design and manage multi-container pods using patterns like sidecar, ambassador, and adapter.
• Monitor and debug applications in Kubernetes, leveraging probes, logging, and observability tools.
• Utilize labels, selectors, and annotations for organizing resources and managing pod lifecycle through Deployments, Jobs, and CronJobs.
• Implement common deployment strategies such as rolling updates, rollbacks, and advanced techniques like Blue/Green or Canary deployments with Kubernetes primitives.
• Configure and troubleshoot Services, ClusterIP, Ingress, and NetworkPolicies for effective networking within the Kubernetes cluster.
• Manage stateful applications using Volumes, Persistent Volumes, Persistent Volume Claims, Storage Classes, and Stateful Sets for data persistence.