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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
Testimonials (5)
he was patience and understood that we fall behind
Albertina - REGNOLOGY ROMANIA S.R.L.
Course - Deploying Kubernetes Applications with Helm
He explained everything, not only k8s notions.
Stefan Voinea - EMAG IT Research S.R.L
Course - Certified Kubernetes Application Developer (CKAD) - exam preparation
Depth of knowledge of the trainer
Grant Miller - BMW
Course - Certified Kubernetes Administrator (CKA) - exam preparation
It gave a good grounding for Docker and Kubernetes.
Stephen Dowdeswell - Global Knowledge Networks UK
Course - Docker (introducing Kubernetes)
I mostly enjoyed the knowledge of the trainer.