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Architecting with Google Kubernetes Engine

  • Number of Courses3 courses
  • Duration6 hours
  • Skill IQ available Skill IQ

The learning path will teach you how to implement solutions using Google Kubernetes Engine, or GKE, including building, scheduling, load balancing, and monitoring workloads, as well as providing for discovery of services, managing role-based access control and security, and providing persistent storage to these applications.

Courses in this path

Beginner

This section introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP. Further in the section you’ll get a review of the layout and principles of Google Cloud Platform, followed by an introduction to creating and managing software containers and an introduction to the architecture of Kubernetes. This course is part of a learning path focused on building efficient computing infrastructures using Kubernetes and Google Kubernetes Engine (GKE). The learning path introduces participants to deploying and managing containerized applications on GKE and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. The specialization also covers deploying practical solutions including security and access management, resource management, and resource monitoring.

Intermediate

In this section,you’ll learn about performing Kubernetes operations; creating and managing deployments; the tools of GKE networking; and how to give your Kubernetes workloads persistent storage. This course is part of a learning path focused on building efficient computing infrastructures using Kubernetes and GKE. The learning path introduces participants to deploying and managing containerized applications on GKE and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. The learning path also covers deploying practical solutions including security and access management, resource management, and resource monitoring.

Advanced

In this section,you'll learn about Kubernetes and Google Kubernetes Engine (GKE) security; logging and monitoring; and using GCP managed storage and database services from within GKE. This course is part of a specialization focused on building efficient computing infrastructures using Kubernetes and GKE. The specialization introduces participants to deploying and managing containerized applications on GKE and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. The specialization also covers deploying practical solutions including security and access management, resource management, and resource monitoring.

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