Architecting with Google Kubernetes Engine

Course Certification

This course helps you prepare to take the:
Google Cloud Certified Professional Cloud Architect Exam; 

Course Outline

Module 1: Introduction to Google Cloud

• Identify Google Cloud services and their function.
• Choose the right Google Cloud services to create your own Cloud solution.

Module 2: 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.

Module 3: 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.

Module 4: Kubernetes Operations

• Work with the Kubectl command.
• Inspect the cluster and pods.
• View a Pod’s console output.
• Sign in to a pod interactively.

Module 5: 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.

Module 6: 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.

Module 7: 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.

Module 8: 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.

Module 9: 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.

Module 10: 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.

Module 11: Logging and Monitoring

• 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

Course Mode

Instructor-Led Remote Live Classroom Training;

Trainers

Trainers are GCP Official Instructors and certified in other IT technologies, with years of hands-on experience in the industry and in Training.

Lab Topology

For all types of delivery, the Trainee can access real Cisco equipment and systems in our laboratories or directly at the Cisco data centers remotely 24 hours a day. Each participant has access to implement the various configurations thus having a practical and immediate feedback of the theoretical concepts.
Here are some Labs topologies available: