Tutorials

Deploying applications

• Deploying a containerized web application

  Turn a simple web application into a replicated deployment running on GKE.

• Create a Guestbook with Redis and PHP

  Build a simple multi-tier web application—a guestbook—using GKE.

• Using persistent disks with WordPress and MySQL

  Set up a WordPress blog with MySQL database that survives instance/container restarts.

• Authenticating to Cloud Platform with service accounts

  Authenticating to and using a Google Cloud Platform service from a GKE application.

• Deploying a language-specific application

  Learn how to deploy a bookshelf application in Go, Node.js, Python, Java, C# PHP, or Ruby.

• Running Django applications

  Learn how to deploy Django.

• Deploying Memcached

  Learn how to deploy a Memcached.

• Upgrading a GKE cluster running a stateful workload

  Learn how to create and upgrade a stateful Redis application.

Configuring cluster networking

• Setting up HTTP Load Balancing with Ingress

  Using Ingress resource to run an HTTP web server behind a Cloud Load Balancer.

• Configuring domain names with static IP addresses

  Expose your application on a domain or subdomain name with a static IP address.

• Configuring network policies for applications

  Restrict inbound and outbound traffic access for applications running on GKE.

• Creating private clusters with network proxies for external access

  Learn how to create GKE private clusters where the control plane node is inaccessible from outside your network, except through a proxy that you create and host in private IP space.

Continuous integration & delivery

• GitOps-style continuous delivery with Cloud Build

  Learn about CI/CD with the GitOps approach on Google Kubernetes Engine with Cloud Build.

• Running Jenkins

  Install Jenkins on your container cluster for running continuous integration.

• Creating a CI/CD Pipeline with VSTS

  Learn how to use VSTS to create a CI/CD pipeline for GKE.

• Continuous delivery pipelines with Spinnaker

  Learn about continuous delivery on Kubernetes Engine with Spinnaker.

• Automating canary analysis with Spinnaker

  Learn to use Spinnaker's automated canary analysis feature.

• Distributed load testing using GKE

  Learn how to deploy a distributed load testing framework that uses multiple containers to create traffic for a simple REST-based API.

Administration

• Preparing a GKE environment for production

  Learn how to get your cluster's applications and resources ready for production.

• Choose size and scope of clusters

  Learn best practices for sizing GKE clusters based on your workloads.

• Migrating workloads to different machine types

  Create new node pool with a different machine type and migrate your workloads with no downtime.

• Autoscaling Deployments with custom metrics

  Use custom metrics imported from Stackdriver Monitoring to autoscale a Deployment.

• Building Windows Server multi-arch images

  Manage the versioning complexity of building images that target multiple Windows Server versions.

• Optimizing resource usage with node auto-provisioning

  Autoscale a multi-tenant GKE cluster using node auto-provisioning.

• Configuring cluster upgrade notifications for third-party services

  Receive cluster upgrade notifications through third-party messaging services.

• Customizing Stackdriver logs with Fluentd

  Learn how to use Fluentd to customer Stackdriver Logging data.

• Processing logs at scale using Cloud Dataflow

  Learn how to process logs with Cloud Dataflow.

• Running dedicated game servers

  Learn how to run dedicated game servers on Kubernetes Engine using persistent disks.

Accessing Google Cloud services

• Using Google Cloud Services

  Learn how to use Google Cloud services like Cloud Storage and Cloud SQL from GKE.