Scaling Workloads with Google Kubernetes Engine (GKE)

Running applications at scale requires a robust orchestration platform that automates deployment, scaling, and management. Google Kubernetes Engine (GKE) provides the production-ready environment needed to keep containerized workloads highly available and resilient. This text-based course guides you from Kubernetes basics to managing complex, auto-scaling applications. You will gain the confidence to configure, monitor, and maintain scalable containerized services using industry-standard cloud practices. What you will learn: Understand core Kubernetes concepts, including Pods, Deployments, and Services; Configure autoscaling policies using Horizontal and Vertical Pod Autoscalers; Manage application state and persistent storage within a GKE cluster; Monitor workload health and performance using modern cloud observability tools; Apply modern GitOps workflows to manage cluster state and deployments safely. The course begins with essential container orchestration terminology and foundational GKE concepts before moving into practical configurations for scaling, self-healing, and monitoring. You will learn through clear, written explanations and step-by-step configuration examples. Designed for cloud beginners, system administrators, and developers looking to transition to containerized environments, with no prior Kubernetes experience required. Start building resilient, scalable cloud infrastructure today.