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Course Outline

Introduction

Setting up the Kubernetes Environment 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 Applications of Kubernetes Design Patterns

Introduction to Core Design Pattern Classifications

  • Structural patterns
  • Behavioral patterns
  • Creational patterns

Implementing Design Patterns and Pattern-Based Applications

  • Exploring secondary design pattern types.
  • Executing Kubernetes projects utilizing design patterns.

Executing Deployment Strategies for Design Pattern Implementations

  • Selecting and applying the appropriate deployment method.

Working with the Kubernetes API and Accessing Official Client Libraries

  • Using 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 points.

Utilizing Essential Kubernetes Extensions and Plug-ins

Extending Kubernetes Clients and Managing Custom API Controllers

Creating and Deploying Custom Resource Definitions for the Kubernetes API

Working with Admission Controllers and Utilizing the Kubernetes Operator

Extending the Kubernetes Scheduler and Developing a Custom Scheduler

  • Node Affinity vs. Pod Affinity

Integrating Kubernetes Extensions into the Kubernetes Infrastructure

Troubleshooting

Summary and Conclusion

Requirements

  • Familiarity with the Kubernetes platform and associated tools.
  • Understanding of containerization technologies and concepts.
  • Experience using Linux distributions and the command-line interface (CLI).
  • Proficiency in Python 3.x programming.

Target Audience

  • Software Developers
  • DevOps Engineers
 14 Hours

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