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.
100 results
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Lab Featured Continuous Delivery with Jenkins in Kubernetes Engine
In this lab you will deploy and completely configure a continuous delivery pipeline using Jenkins running on Kubernetes Engine and go through the dev - deploy process.
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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 Cloud Logging on Kubernetes Engine
In this lab you will deploy a sample application to Kubernetes Engine that forwards log events to Cloud Logging.
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Course Featured Google Kubernetes Engine Best Practices: Security
Get Anthos Ready. This Google Kubernetes Engine-centric quest of best practice hands-on labs focuses on security at scale when deploying and managing production GKE environments -- specifically role-based access control, hardening, VPC networking, and binary authorization.
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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 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 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 Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh
In this lab you will install the Anthos Service Mesh, and deploy a resnet model, all on a GKE cluster.
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Lab Featured Connect to Cloud SQL from an Application in Google Kubernetes Engine
This lab shows how easy it is to connect an application in Google Kubernetes Engine to a Cloud SQL instance using the Cloud SQL Proxy container as a sidecar container. You will deploy a GKE cluster and a Cloud SQL Postgres instance and use the Cloud SQL Proxy container to allow communication between them.
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Lab Featured Using a NAT Gateway with Kubernetes Engine
This lab shows how to define new node IP address mappings by using network address translation (NAT) gateways.