Kubernetes Operators

The Kubernetes Operators course is designed to help learners build practical skills in developing Kubernetes Operators that automate the lifecycle management of cloud-native applications. Tailored for Kubernetes administrators, platform engineers, DevOps engineers, Site Reliability Engineers (SREs), software engineers, and cloud-native practitioners, this course provides a comprehensive introduction to the Operator pattern, Custom Resource Definitions (CRDs), controllers, Kubebuilder, Operator SDK, reconciliation, validation, packaging, and production-ready Operator development. Through conceptual lessons, guided demonstrations, hands-on labs, and practical implementation exercises, you'll learn how to design, build, test, debug, package, deploy, and operate Kubernetes Operators from scratch.

Throughout the course, you'll gain hands-on experience working with Custom Resource Definitions (CRDs), the Kubernetes API, controller-runtime, Kubebuilder, Operator SDK, reconciliation loops, Deployments, Services, ConfigMaps, status conditions, events, finalizers, validation policies, and production deployment workflows. You'll learn how to extend Kubernetes using custom APIs, encode operational knowledge into Operators, automate application lifecycle management, implement reconciliation logic, manage dependent resources, validate custom resources, package Operators for deployment, and consume popular Operators such as Cert-Manager and Prometheus Operator. The course culminates in building a fully functional WebApp Operator that demonstrates production-oriented Operator design and implementation.

Course Modules & Learning Outcomes

Introduction to Kubernetes Operators

Build a strong foundation in the Kubernetes Operator pattern by understanding how Operators extend Kubernetes capabilities. Learn the differences between Controllers and Operators, explore real-world Operator use cases, Operator capability levels, and understand when Operators are a better choice than Helm charts.

Custom Resource Definitions (CRDs)

Learn how Custom Resources and Custom Resource Definitions extend the Kubernetes API. Explore OpenAPI schema validation, status fields, printer columns, short names, and gain hands-on experience creating and applying your own CRDs.

Kubebuilder Fundamentals

Learn how to scaffold Operator projects using Kubebuilder. Explore the generated project structure, understand the relationship between Kubebuilder and Operator SDK, and generate APIs and controllers for a custom WebApp Operator.

Building the WebApp Operator

Design and implement a production-style Kubernetes Operator using controller-runtime. Learn reconciliation concepts, create Deployments, Services, and ConfigMaps, implement owner references, and automate application lifecycle management using Kubernetes APIs.

Running, Testing, and Debugging Operators

Learn how to run Operators locally, observe reconciliation behavior, interpret Operator logs, troubleshoot reconciliation issues, and validate Operator functionality during development.

Status, Conditions, and Events

Implement production-ready status reporting using conditions and readiness information. Learn event generation, reconciliation retry strategies, requeue behavior, and improve Operator observability for cluster administrators.

Finalizers and Cleanup

Understand Kubernetes deletion workflows and implement finalizers to safely manage cleanup operations before Kubernetes removes custom resources.

Validation with CEL Policies

Learn how to validate custom resources using Common Expression Language (CEL) admission policies. Implement validation rules that improve resource consistency and prevent invalid configurations.

Packaging and Distribution

Package and deploy Kubernetes Operators using container images and deployment manifests. Learn deployment workflows, Docker-based packaging, and gain an introduction to Operator Lifecycle Manager (OLM).

Alternative Operator Development Approaches

Explore Operator SDK and understand its relationship with Kubebuilder. Learn how Helm-based Operators simplify Operator development by extending existing Helm charts.

Consuming Popular Kubernetes Operators

Learn how to install, configure, and use widely adopted Operators including Cert-Manager and Prometheus Operator. Understand how Operators simplify the management of complex applications within Kubernetes clusters.

Production Readiness and Wrap-Up

Learn what distinguishes a functional Operator from a production-ready Operator by reviewing testing considerations, operational best practices, and the complete WebApp Operator built throughout the course.

Course Features

• Extensive hands-on labs and guided demonstrations that walk through every stage of Kubernetes Operator development.
• Build a complete production-style WebApp Operator using Kubebuilder and controller-runtime.
• Practical coverage of CRDs, reconciliation loops, status management, events, finalizers, validation, packaging, and deployment.
• Real-world examples featuring Cert-Manager, Prometheus Operator, Operator SDK, and Helm-based Operators.
• Production-focused best practices covering testing, debugging, observability, resource ownership, cleanup workflows, and Operator lifecycle management.

Who Should Enroll?

• Kubernetes administrators looking to automate application lifecycle management.
• Platform engineers building internal platforms and cloud-native infrastructure.
• DevOps engineers and Site Reliability Engineers (SREs) managing Kubernetes workloads.
• Software engineers interested in extending the Kubernetes API through custom controllers and Operators.
• Cloud-native practitioners who want to understand how production Kubernetes Operators are designed and implemented.
• Anyone looking to gain practical experience building, deploying, testing, and operating Kubernetes Operators in real-world environments.

Build the practical skills needed to design, develop, package, deploy, and operate production-ready Kubernetes Operators while gaining hands-on experience with Kubebuilder, controller-runtime, Custom Resource Definitions, reconciliation patterns, validation, and modern cloud-native automation practices.