Course Outline

Module 1: Introduction to Kubernetes Persistence 

  • Understanding the need for data persistence in containers. 
  • Overview of Kubernetes PVs and PVCs. 
  • Storage Classes in Kubernetes. 

Module 2: PV and PVC Lifecycle 

  • Creating and managing PVs and PVCs. 
  • Data persistence across Pod rescheduling. 

Module 3: Stateful Applications in Kubernetes 

  • Managing data for stateful applications. 
  • Deploying StatefulSets.

Module 4: Best Practices and Troubleshooting 

  • Best practices for data storage in Kubernetes. 
  • Troubleshooting common data persistence issues. 
  • Hands-on Labs Participants will have the opportunity to apply their knowledge through hands-on exercises and real-world scenarios.

Requirements

  • Basic knowledge of Kubernetes architecture and concepts
  • Familiarity with containerization technologies (e.g., Docker)
  • Proficiency in using the Kubernetes command-line tool

Audience

  • System Administrators: Those responsible for maintaining Kubernetes clusters.
  • DevOps Engineers: Professionals involved in the deployment and management of applications in Kubernetes.
  • Developers: Individuals seeking to understand how data persistence works in Kubernetes.
 14 Hours

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