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.
Testimonials (5)
he was patience and understood that we fall behind
Albertina - REGNOLOGY ROMANIA S.R.L.
Course - Deploying Kubernetes Applications with Helm
How Interactive Reda would explain the information and get us to participate. He would also mention interesting facts along the way and share all the knowledge he has. Reda has excellent communication skills which makes online training really effective.
Janine - BMW SA
Course - Kubernetes Advanced
The training was more practical
Siphokazi Biyana - Vodacom SA
Course - Kubernetes on AWS
Learning about Kubernetes.
Felix Bautista - SGS GULF LIMITED ROHQ
Course - Kubernetes on Azure (AKS)
It gave a good grounding for Docker and Kubernetes.