This project covers two use cases for RBAC within a Kubernetes Engine cluster. First, assigning different permissions to user personas. Second, granting limited API access to an application running within your cluster. Since RBAC's flexibility can occasionally result in complex rules, you will also perform common steps for troubleshooting RBAC a…

This guide demonstrates creating a Kubernetes private cluster in Google Kubernetes Engine (GKE) running a sample Kubernetes workload that connects to a Cloud SQL instance using the cloud-sql-proxy "sidecar" authenticated using Workload Identity (Beta).

This project presents a number of best practices for establishing network links between Kubernetes Engine clusters, and exposing cluster services across Google Cloud projects. You will use a set of Deployment Manager templates to create networks, subnets, vpn connections, and Kubernetes Engine clusters.

This project walks you through setting up monitoring and visualizing metrics from a Kubernetes Engine cluster. The logs from the Kubernetes Engine cluster will be leveraged to walk through the monitoring capabilities of Stackdriver.

This demo provides a basic walkthrough of migrating a stateless application from running on a VM all the way to running it on Kubernetes Engine (GKE).

This guide demonstrates how to improve the security of your Kubernetes Engine by applying fine-grained restrictions to network communication. You will provision a simple HTTP server and two client pods in a Kubernetes Engine cluster, then use a Network Policy restrict connections from client pods.

This project demonstrates a series of best practices for improving the security of containerized applications deployed to Kubernetes Engine. You will deploy multiple instances of the same container image with a variety of security settings to illustrate the use of RBAC, security contexts, and AppArmor policies.

This demo aims to show what a fully-featured project running in Kubernetes Engine looks like. It includes Elasticsearch, a very popular open-source project for indexing and searching data, as well as some custom software to interface with it.

This project shows how easy it is to connect an application in Kubernetes Engine to a Cloud SQL instance, using the Cloud SQL Proxy container as a sidecar container. You will deploy a Kubernetes Engine Cluster and a Cloud SQL Postgres instance, and use the Cloud SQL Proxy container to allow communication between them.

This demo builds two GKE Clusters and guides you through using secrets in Vault, using Kubernetes authentication from within a pod to login to Vault, and fetching short-lived Google Service Account credentials on-demand from Vault within a pod.

This project demonstrates a series of best practices for improving the security of containerized applications deployed to Kubernetes Engine. You will deploy multiple instances of the same container image with a variety of security settings to illustrate the use of RBAC, security contexts, and AppArmor policies.

This project demonstrates how to use an Istio service mesh in a single Kubernetes Engine cluster alongside Prometheus, Jaeger, and Grafana, to monitor cluster and workload performance metrics. You will first deploy the Istio control plane, data plane, and additional visibility tools using the provided scripts, then explore the collected metrics …

This project introduces you to Stackdriver's tracing feature, and provides a distributed tracing example that can serve as a basis for your own applications. You will deploy a multi-tier application to a Kubernetes Engine cluster and trace calls between the components.

An application to help with IP Address Management (IPAM) for Google Kubernetes Engine (GKE) clusters. Easily allows the calculation of the subnets required to spin up GKE clusters in VPC-native mode. See it at: https://googlecloudplatform.github.io/gke-ip-address-management/

gke-tf was created to streamline the creation of customized Terraform source files that build GKE clusters and supporting resources in GCP.

This repository guides you through deploying a private GKE cluster and provides a base platform for hands-on exploration of several GKE related topics which leverage or integrate with that infrastructure. After completing the exercises in all topic areas, you will have a deeper understanding of several core components of GKE and GCP as configure…

In this project, you will leverage Kubernetes Engine and Google Compute Engine to explore how Istio can manage services that reside outside of the Kubernetes Engine environment. You will deploy a typical Istio service mesh in Kubernetes Engine, then configure an externally deployed microservice to join the mesh.

This project demonstrates a different upgrade procedures best suited for clusters containing stateless and stateful workloads. You will perform the upgrades in two stages. First, the control plane is updated, then node pools are upgraded.

This project describes the steps required to deploy a sample application to Kubernetes Engine that forwards log events to Stackdriver Logging. As a part of the exercise, you will create a Cloud Storage bucket and a BigQuery dataset for exporting log data.

This project demonstrates how Istio's mesh expansion feature can be used to link services accross a VPN. The feature allows for a non-Kubernetes service running outside of the Istio infrastructure on Kubernetes Engine, to be integrated into, and managed by the Istio service mesh.