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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 within DevOps workflows?

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 Official 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 vs. Pod Affinity

Integrating Kubernetes Extensions within the Kubernetes Infrastructure

Troubleshooting

Summary and Conclusion

Requirements

  • Foundational experience with the Kubernetes platform and its tools.
  • Knowledge of containerization technology and key concepts.
  • Experience working with Linux distributions and the Command Line Interface (CLI).
  • Proficiency in the Python 3.x programming language.

Audience

  • Developers
  • DevOps Engineers
 14 Hours

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