On-demand activities
Find the right on-demand learning activities for you. Labs are short learning activities that teach you a specific lesson by giving you direct, temporary, hands-on access to real cloud resources. Courses are longer activities, consisting of several modules made of videos, documents, hands-on labs and quizzes. Finally, quests are similar, but are usually shorter and contain only labs.
122 results
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Lab Featured Setting up Jenkins on Kubernetes Engine
This hands-on lab will show you how to set up Jenkins on Google Kubernetes Engine to help orchestrate your software delivery pipeline.
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Lab Featured Using Role-based Access Control in Kubernetes Engine
After provisioning two service accounts to represent user personas and three namespaces for dev, test, and prod, you will test the access controls of the personals in each namespace.
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Lab Featured Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes
AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).
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Lab Featured GKE Autopilot: Qwik Start
GKE Autopilot provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure.
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Lab Featured Google Kubernetes Engine Pipeline using Cloud Build
Create a CI/CD pipeline that automatically builds a container image, stores the image in Artifact Registry, updates a Kubernetes manifest in a Git repository, and deploys the application to Google Kubernetes Engine.
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Lab Featured Implement DevOps Workflows in Google Cloud: Challenge Lab
This challenge labs tests your skills in implementing a CI/CD pipeline using Cloud Build, Cloud Source Repositories, and GKE.
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Lab Featured Distributed Load Testing Using Kubernetes
Lab has instructions to conduct distributed load testing with Kubernetes, which includes a sample web application, Docker image, and Kubernetes deployments/services.
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Lab Featured Understanding and Combining GKE Autoscaling Strategies
In this lab you will explore the benefits of different Google Kubernetes Engine autoscaling strategies, like Horizontal Pod Autoscaling and Vertical Pod Autoscaling for pod-level scaling, and Cluster Autoscaler and Node Auto Provisioning for node-level scaling.
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Course Featured Implement DevOps Workflows in Google Cloud
Complete the intermediate Implement DevOps Workflows in Google Cloud skill badge to demonstrate skills in the following: creating git repositories with Cloud Source Repositories, launching, managing, and scaling deployments on Google Kubernetes Engine (GKE), and architecting CI/CD pipelines that automate container…
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Lab Featured GKE Workload Optimization
This lab demonstrates how optimization in your cluster's workloads can lead to an overall optimization of your resources and costs. It walks through a few different workload optimization strategies such as container native load balancing, application load testing, readiness and liveness probes, and pod disruption …