In this module, we will dive deep into organizing and managing Kubernetes resources effectively. You’ll explore the use of labels, selectors, annotations, and namespaces to structure your deployments. The module also guides you through setting resource constraints and configuring health probes to ensure workload resilience and optimal performance.

In this module, we will explore Kubernetes storage concepts and how to manage data persistence effectively. You’ll learn about volume types such as EmptyDir, PVCs, and StatefulSets, and practice mounting volumes in Pods. Labs include hands-on experience with dynamic provisioning and data retention strategies for stateful applications.

In this module, we will cover best practices for managing application configuration and secrets within Kubernetes. You’ll gain hands-on experience using ConfigMaps and Secrets to pass data into containers through environment variables and mounted files. This section ensures your applications can adapt and operate securely across environments.

In this module, we will bring together several core Kubernetes concepts to deploy a production-ready MongoDB instance. You’ll use StatefulSets, headless services, and ConfigMaps to set up and manage the database. The module culminates with integrating the Color API with MongoDB to persist data and validate functionality.

In this module, we will explore foundational Kubernetes security practices to protect your clusters and applications. You’ll learn how to use Role-Based Access Control (RBAC), Service Accounts, and Network Policies to manage permissions and traffic flow. The section also introduces Pod Security Standards to enforce workload compliance.

In this module, we will work with Kustomize, a Kubernetes-native tool for managing configuration variations. You’ll learn how to use bases, overlays, and transformations to simplify environment-specific deployments. Labs guide you through patching, generating ConfigMaps and Secrets, and building reusable infrastructure configurations.

In this module, we will deploy the complete Color API application to Google Kubernetes Engine. You’ll configure GKE resources, deploy MongoDB and the API, and secure communication using ingress and TLS certificates. The project also includes monitoring setup and scaling to simulate a real-world production environment.

In this module, we will wrap up the course and reflect on everything you’ve accomplished. You’ll review the skills you’ve developed across resource management, storage, security, and deployments. This final section celebrates your progress and points toward advanced topics and certifications to further your expertise.