• Introduction to Google Cloud
  • Identify Google Cloud services and their function.
  • Choose the right Google Cloud services to create your own Cloud solution
• Containers and Kubernetes in Google Cloud
  • Create a Container using Cloud Build.
  • Store a Container in Container Registry.
  • Compare and Contrast Kubernetes and GKE features.
• Kubernetes Architecture
  • Conceptualize the Kubernetes Architecture.
  • Deploy a Kubernetes Cluster using GKE.
  • Deploy Pods to a GKE Cluster.
  • View and Manage Kubernetes Objects.
  • Conceptualize the Migrate for Anthos process
• Kubernetes Operations
  • Work with the Kubectl Command.
  • Inspect the Cluster and Pods.
  • View a Pod’s Console Output.
  • Sign in to a Pod Interactively.
• Deployment, Jobs, and Scaling
  • Create and Use Deployments.
  • Create and Run Jobs and CronJobs.
  • Scale Clusters Manually and Automatically.
  • Configure Node and Pod Affinity.
  • Get Software into your Cluster with Helm Charts and Kubernetes Marketplace.
• GKE Networking
  • Create Services to expose applications that are running within Pods.
  • Use load balancers to expose Services to external clients.
  • Create Ingress resources for HTTP(S) load balancing.
  • Leverage container-native load balancing to improve Pod load balancing.
  • Define Kubernetes network policies to allow and block traffic to Pods.
• Persistent Data and Storage
  • Use Secrets to isolate security credentials.
  • Use ConfigMaps to isolate configuration artifacts.
  • Push out and roll back updates to Secrets and ConfigMaps.
  • Configure Persistent Storage Volumes for Kubernetes Pods.
  • Use StatefulSets to ensure that claims on persistent storage volumes persist across restarts.
• Access Control and Security in Kubernetes and Kubernetes Engine
  • Define IAM roles and policies for GKE.
  • Define Kubernetes RBAC roles and role bindings.
  • Define Kubernetes pod security policies.
• Logging and Monitoring
  • Create forensic logs for systems monitoring.
  • Monitor your system performance from different vantage points.
  • Create probes for wellness checks on live applications.
• Using Google Cloud Managed Storage Services from Kubernetes Applications
  • Understand use cases for Cloud Storage within a Kubernetes application.
  • Understand use cases for Cloud SQL and Cloud Spanner within a Kubernetes application.
  • Understand use cases for Datastore within a Kubernetes application
  • Understand use cases for Cloud Bigtable within a Kubernetes application.
• Using CI/CD to Deploy Kubernetes Workloads
  • Create a continuous delivery pipeline using Cloud Build and start it manually or automatically with a code change.
  • Implement a canary deployment that hosts two versions of your application in production for release testing.