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Course Outline

Introduction

Setting up the Kubernetes System and Installing Toolkit Resources

Overview of Kubernetes Design Patterns: Features and Architecture

  • Understanding software design patterns
  • Implementing design patterns within DevOps workflows

Defining the Fundamentals and Use Cases 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
  • Executing Kubernetes projects using design patterns

Executing Deployment Strategies for Design Pattern Implementations

  • Selecting and performing the appropriate deployment method

Working with the Kubernetes API and Accessing Official Client Libraries

  • Navigating the Python client library and repository
  • Utilizing community-maintained libraries

Overview of Kubernetes Extensions and Custom Resources

  • Extensions for Kubernetes clusters
  • Extensions for the 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 the Kubernetes API

Working with Admission Controller Extensions and Utilizing the Kubernetes Operator

Extending the 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 associated tools
  • Knowledge of containerization technologies and core concepts
  • Experience using Linux distributions and the Command Line Interface (CLI)
  • Proficiency in the Python 3.x programming language

Target Audience

  • Developers
  • DevOps Engineers
 14 Hours

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