Architecting with Google Kubernetes Engine: Production

Course Modality

Instructor-led (classroom)

Course Level


Course Time

13 Hours

Course Language


Course Overview

In this course, “Architecting with Google Kubernetes Engine: Production,” 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.

Why The DataTech Labs ?

Self-Paced Online Video

A 360-degree learning approach that you can adapt to your learning style

A 360-degree learning approach that you can adapt to your learning style

Engage and learn more with these live and highly-interactive classes alongside your peers

24/7 Teaching Assistance

24/7 Teaching Assistance Keep engaged with integrated teaching

Online Practice Labs

Projects provide you with sample work to show prospective employers.

Applied Projects

Real-world projects relevant to what you’re learning throughout the program

Learner Social Forums

A support team focused on helping you succeed alongside a peer community

Skill Covered

  • 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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Course Curriculum

Course Introduction

In this module, you’ll become familiar with the structure and layout of the course.

Access Control and Security in Kubernetes and GKE

In this module, you will learn about Kubernetes authentication and authorization, in order to control who is able to perform what actions to resources in your GKE clusters. Using what you learn in this module will help you ensure that appropriate access policies are in place to make your cluster and applications more secure.

GKE Logging and Monitoring

In this module you will learn how logging is implemented in Kubernetes, and how GKE extends that basic functionality using Stackdriver, which is a suite of multi-cloud resource reconnaissance tools provided by Google. You’ll learn to locate and inspect Kubernetes logs produced by resources inside your GKE clusters. You’ll learn how to use Stackdriver to monitor and manage the availability and performance of your GCP resources, and also the applications that are built with those resources. You’ll also learn to use Stackdriver and Google Bigquery for longer term retention and forensic analysis of logs. You’ll learn how to create probes for wellness checks on the applications you’re running.

Using GCP Managed Storage Services with GKE

In this module, you’ll learn about the pros and cons of managed storage services versus self-managed containerized storage for your applications. You’ll identify use cases for Cloud Storage for applications running in a Kubernetes cluster, and you’ll survey the range of GCP managed database services. You’ll learn how to use the Cloud SQL Proxy to simplify the task of connecting from within Kubernetes applications to Cloud SQL, one of those services.

Recommended Exams


Professional Cloud Developer

A Professional Cloud Developer builds scalable and highly available applications using Google-recommended practices and tools that leverage fully managed services. This individual has experience with cloud-native applications, runtime environments, developer tools, and next-generation databases. A Professional Cloud Developer also has proficiency with at least one general-purpose programming language and is skilled at producing meaningful metrics and logs to debug and trace code.


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