This module delves into strategies for achieving high availability and fault tolerance in Kubernetes by leveraging ReplicaSets and ReplicationControllers. Learners will gain hands-on experience managing production workloads, testing ReplicaSet behavior, and enhancing reliability with liveness probes. By the end, you'll be equipped to orchestrate scalable and resilient containerized applications in a Kubernetes environment.

This module guides learners through managing stateless workloads in Kubernetes using Deployments. You will explore how to create, scale, expose, and roll back Deployments, as well as the benefits of declarative object management for robust and scalable applications.

This module introduces the Kubernetes StatefulSet resource, highlighting its unique features for managing stateful applications, such as persistent storage, stable network identities, and ordered deployment. Learners will explore how StatefulSets differ from Deployments, manage scaling and updates, and implement best practices for reliable stateful workloads.

This module introduces DaemonSets in Kubernetes, focusing on how they ensure single Pod replicas on each node for essential cluster-wide tasks. Learners will discover how to deploy, manage, and prioritize DaemonSets for critical system operations and explore common real-world use cases.

This module introduces learners to deploying and managing applications in Kubernetes using Helm charts and Operators. You will gain hands-on experience with installation, security best practices, and lifecycle management, including configuring monitoring tools like Prometheus and Grafana. By the end, you'll be equipped to streamline application deployment and automate operational tasks in Kubernetes environments.

This module guides learners through launching and managing Kubernetes clusters using Google Kubernetes Engine (GKE). You will configure your local environment, explore cloud-native deployment tools, and understand key concepts such as services, gateways, ingress, and cluster node architecture within Google Cloud Platform.

This module guides learners through the process of setting up a Kubernetes cluster on AWS using Amazon EKS. You will learn how to create an AWS account, install and use eksctl, and manage cloud-native workloads via the AWS Console. By the end, you'll be equipped to deploy and explore Kubernetes clusters in a real cloud environment.

This module guides learners through configuring the Azure CLI, deploying and managing Azure Kubernetes Service (AKS) clusters, and comparing AKS with other major cloud Kubernetes offerings. Participants will gain hands-on experience with installation, resource management, and workload monitoring in a cloud-native environment.