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Course Outline

Introduction

Establishing the Kubernetes Environment and Installing Toolkit Resources

Overview of Kubernetes Design Patterns: Features and Architecture

  • Defining software design patterns
  • Implementing design patterns within DevOps practices

Fundamentals and Applications of Kubernetes Design Patterns

Introduction to Primary Design Pattern Categories

  • Structural patterns
  • Behavioral patterns
  • Creational patterns

Applying Design Patterns and Implementing Pattern-Based Solutions

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

Executing Deployment Strategies for Design Pattern Implementations

  • Selecting and applying the most suitable deployment methods

Interacting with the Kubernetes API and Accessing Official Client Libraries

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

Overview of Kubernetes Extensions and Custom Resources

  • Extensions for Kubernetes clusters
  • Extensions for the Kubernetes API
  • Navigating Kubernetes extension patterns and extension 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 Controller Extensions 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

  • Fundamental familiarity with the Kubernetes platform and its associated tools
  • Understanding of containerization technologies and core concepts
  • Practical experience with 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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