Running containerized applications in production requires more than deploying a Kubernetes cluster. In Container Workload Management and Production Operations, you'll build hands-on Google Kubernetes Engine (GKE) skills for deploying, scaling, securing, monitoring, and managing containerized workloads.
You'll progress from Kubernetes and GKE fundamentals to production operations such as deployment management, workload optimization, autoscaling, monitoring, backup and restore, security hardening, and multi-tenant cluster management. You'll also explore how GKE Fleets and managed service mesh capabilities support applications distributed across multiple clusters.
By the end of this specialization, you'll be able to:
Create and manage GKE clusters and deploy containerized applications
Configure and scale Kubernetes deployments using kubectl and YAML
Optimize workloads for availability, performance, resource use, and cost
Apply autoscaling, monitoring, backup, and recovery strategies to GKE workloads
Harden GKE clusters and manage access in multi-tenant environments
Manage workloads and distributed services across multiple GKE clusters
Applied Learning Project
This specialization is built around hands-on practice in the Google Cloud console. Across guided projects, you'll create GKE clusters, deploy and scale containerized applications, configure autoscaling, optimize workloads, monitor cluster metrics, and apply security hardening techniques. You'll also manage namespaces and access for multi-tenant environments and plan, back up, and restore GKE workloads.
As you progress, you'll work with more complex production scenarios involving GKE Fleets, team-based infrastructure management, multi-cluster networking, and distributed services. By the end, you'll have practical experience applying Kubernetes and GKE capabilities across the workload lifecycle—from deployment and scaling to security, observability, resilience, and multi-cluster operations.
