Course Outline
Introduction
Setting up the Kubernetes System and Installing Toolkit Resources
Overview of Kubernetes Design Patterns Features and Architecture
- What are software design patterns?
- How are design patterns implemented in DevOps?
Defining the Fundamentals and Uses of Kubernetes Design Patterns
Introduction to Primary Classifications of Design Patterns
- Structural patterns
- Behavioral patterns
- Creational patterns
Operating Design Patterns and Implementing Pattern Applications
- Exploring secondary design pattern types
- Carrying out Kubernetes projects using design patterns
Executing Deployment Strategies for Design Pattern Implementations
- Choosing and performing the appropriate method of deployment
Working with Kubernetes API and Accessing Offical Client Libraries
- Operating the Python client library and repository
- Employing community-maintained libraries
Overview of Kubernetes Extensions and Custom Resources
- Extensions for Kubernetes clusters
- Extensions for Kubernetes API
- Working with Kubernetes extension patterns and extension points
Utilizing Essential Kubernetes Extensions and Plug-ins
Extending Kubernetes Clients and Operating Custom API Controllers
Creating and Deploying Customized Resource Definitions for Kubernetes API
Working with Admission Controller Extensions and Utilizing the Kubernetes Operator
Extending Kubernetes Scheduler and Developing a Custom Scheduler
- Node Affinity v.s. Pod Affinity
Integrating Kubernetes Extensions within the Kubernetes Infrastructure
Troubleshooting
Summary and Conclusion
Requirements
- Basic experience with Kubernetes platform and tools
- Knowledge of containerization technology and concepts
- Experience with Linux distributions and CLI
- Proficiency in Python 3.x programming language
Audience
- Developers
- DevOps Engineers
Testimonials (1)
There were many practical exercises supervised and assisted by the trainer