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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

Fundamentals and Use Cases of Kubernetes Design Patterns

Introduction to Primary Design Pattern Classifications

  • Structural patterns
  • Behavioral patterns
  • Creational patterns

Operationalizing Design Patterns and Implementing Pattern-Based Applications

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

Deployment Strategies for Design Pattern Implementations

  • Selecting and executing the appropriate deployment method

Working 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
  • Working with extension patterns and extension points

Utilizing Core Kubernetes Extensions and Plugins

Extending Kubernetes Clients and Managing Custom API Controllers

Creating and Deploying Custom Resource Definitions (CRDs) for the Kubernetes API

Using Admission Controller Extensions and the Kubernetes Operator

Extending the Kubernetes Scheduler and Developing Custom Schedulers

  • Node Affinity vs. Pod Affinity

Integrating Kubernetes Extensions into the Kubernetes Infrastructure

Troubleshooting

Summary and Conclusion

Requirements

  • Basic familiarity with the Kubernetes platform and its tools
  • Understanding of containerization technologies and concepts
  • Experience with Linux distributions and Command Line Interface (CLI)
  • Proficiency in Python 3.x

Audience

  • Developers
  • DevOps Engineers
 14 Hours

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