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.
20 results
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Lab Featured Scaling Microservices Applications: Migration to Redis Enterprise on Google Cloud
In this lab, you will deploy a fully functioning microservices e-Commerce website application on Google Cloud using Redis to run the shopping cart service and then migrate that to Redis Enterprise for scalability and high availability.
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Lab Featured Monitoring and Managing Bigtable Health and Performance
In this lab, you monitor disk and CPU usage in a Bigtable instance, update an existing cluster to apply node autoscaling, implement replication in an instance, and back up and restore data in Bigtable.
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Lab Featured Google Kubernetes Engine: Qwik Start
Google Kubernetes Engine provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure. This hands-on lab shows you how deploy a containerized application with Kubernetes Engine.
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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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Lab Featured Managing Deployments Using Kubernetes Engine
Dev Ops best practices make use of multiple deployments to manage application deployment scenarios. This lab provides practice in scaling and managing containers to accomplish common scenarios where multiple heterogeneous deployments are used.
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Lab Featured Autoscaling an Instance Group with Custom Cloud Monitoring Metrics
This lab describes how to deploy an autoscaling Compute Engine instance group that is automatically scaled using a custom Cloud monitoring metric
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Lab Featured Optimize Costs for Google Kubernetes Engine: Challenge Lab
This lab offers a series of challenges that involve deploying, scaling, and maintaining a cluster application while optimizing resource usage.
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Lab Featured Scaling VM-Series to Secure Google Cloud Networks
Secure Google Cloud hub-and-spoke topology with VM-Series at scale.
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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.