2 days EN Max 16

Architecting with Google Kubernetes Engine

Learn how to deploy and manage containerized applications on Google Kubernetes Engine (GKE). Learn how to use other tools on Google Cloud that interact with GKE deployments. This course features a combination of lectures, demos, and hands-on labs to help you explore and deploy solution elements-including infrastructure components like pods, containers, deployments, and services-along with networks and application services. You'll also learn how to deploy practical solutions, including security and access management, resource management, and resource monitoring.

€1.250,00 excl. VAT

Individual scheduling

The courses are held as dedicated group sessions. Once you've booked, we'll coordinate a date that works for your team and send invitations to all participants.

Prerequisites

Completed “Getting Started with Google Kubernetes Engine” or have equivalent
experience

What you'll learn

  • Create and manage workloads in Google Kubernetes Engine.
  • Explain how pod networking works in Google Kubernetes Engine.
  • Define and work with different Kubernetes storage abstractions.
  • Describe and manage authentication, authorization, and security n Google Kubernetes Engine.
  • Monitor applications running in Google Kubernetes Engine.
  • Explore Google Cloud managed storage services options.
    Configure CI/CD pipelines for Google Kubernetes Engine.

Course modules
Course introduction
Creating deployments. Inspecting deployments. Updating deployments. Adopting other deployment strategies. Using Jobs and Cronjobs Cluster scaling. Controlling Pod placement with labels and affinity rules. Controlling Pod placement with taints and tolerations. Getting software into your cluster.
Pod networking Kubernetes Services Service type and load balancers Ingress Container-native load balancing Network policies
Volumes Ephemeral volumes Durable volumes Statefulsets Configmaps Secrets
Explore Kubernetes authentication and authorization. Define Kubernetes RBAC and how it works with IAM to secure GKE clusters. Configure Workload Identity to access Google Cloud services from within GKE. Secure GKE with Pod Security Standards and Pod Security Admission. Implement Role-Based Access Control with GKE.
Cloud Observability Cloud Logging Cloud Monitoring Inspecting logs with the kubectl command Inspecting logs with Cloud Logging and logging agents
Using Google Cloud services. Using Cloud Storage. Using Google Cloud databases Using Cloud SQL and SQL Auth Proxy. Comparing storage options.
What is CI/CD? CI/CD pipeline construction CI/CD tools available in Google Cloud Best practices for using CI/CD on Google Cloud
Course Summary
Architecting with Google Kubernetes Engine