DevOps training

Logo Architecting with Google Kubernetes Engine

Architecting with Google Kubernetes Engine

50% theory, 50% practise
(4.1/5) 46 ratings
The opinions come from end-of-training evaluations. The score is an average based on the following themes: Richness of content • Quality of presentation • Theory/practice ratio • Relevance of examples • Interest in practical work
Duration 3 days • 21 hours Get a quote
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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.


For each lab, Qwiklabs offers a free set of resources for a fixed amount of time and a clean environment with permissions.

Educational objectives

  • Understand how software containers work.
  • Understand the architecture of Kubernetes.
  • Understand the architecture of GoogleCloud.
  • Understand how pod networking works in Google Kubernetes Engine.
  • Create and manage Kubernetes Engine clusters using the Google Cloud Console and gcloud/kubectl commands.
  • Launch, rollback, and expose jobs in Kubernetes.
  • Manage access control using Kubernetes RBAC and IAM.
  • Manage pod security policies and network policies.
  • Use Secrets and ConfigMaps to isolate security credentials and configuration artifacts.
  • Understand Google Cloud choices for managed storage services.
  • Monitor applications running in Google Kubernetes Engine.

Prerequisites

Target audience

  • Cloud architects, administrators, and SysOps/DevOps personnel
  • Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with Google Cloud.

Pedagogy

50% theory, 50% practise