Course Outline
Introduction
Setting up the Kubernetes System and Installing Toolkit Resources for Government
Overview of Kubernetes Design Patterns, Features, and Architecture
- What are software design patterns?
- How are design patterns implemented in DevOps workflows for government?
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 for government use
- Carrying out Kubernetes projects using design patterns in public sector environments
Executing Deployment Strategies for Design Pattern Implementations
- Choosing and performing the appropriate method of deployment for government systems
Working with Kubernetes API and Accessing Official Client Libraries
- Operating the Python client library and repository for government applications
- Employing community-maintained libraries in a secure and compliant manner
Overview of Kubernetes Extensions and Custom Resources
- Extensions for Kubernetes clusters to enhance government operations
- Extensions for the Kubernetes API to support specialized government functions
- Working with Kubernetes extension patterns and extension points for enhanced functionality
Utilizing Essential Kubernetes Extensions and Plug-ins for Government
Extending Kubernetes Clients and Operating Custom API Controllers for Government Needs
Creating and Deploying Customized Resource Definitions for the Kubernetes API in Government Environments
Working with Admission Controller Extensions and Utilizing the Kubernetes Operator for Enhanced Security
Extending the Kubernetes Scheduler and Developing a Custom Scheduler for Government Requirements
- Node Affinity versus Pod Affinity for optimized government workloads
Integrating Kubernetes Extensions within the Kubernetes Infrastructure for Government Operations
Troubleshooting Common Issues in Government Deployments
Summary and Conclusion
Requirements
- Basic experience with the Kubernetes platform and associated tools
- Understanding of containerization technology and principles
- Experience with Linux distributions and command-line interfaces (CLI)
- Proficiency in the Python 3.x programming language
Audience
- Software Developers for government
- DevOps Engineers for government
Testimonials (1)
There were many practical exercises supervised and assisted by the trainer