This project installs an Apache Cassandra database into a Kubernetes Engine cluster. Various scripts are contained within this project that provide push button creation, validation, and deletion of the Cassandra(C*) database and Kubernetes Engine cluster.

This lab demonstrates some of the security concerns of a default Kubernetes Engine cluster configuration and the corresponding hardening measures to prevent multiple paths of pod escape and cluster privilege escalation.

This project installs an Apache Cassandra database into a Kubernetes Engine cluster. Various scripts are contained within this project that provide push button creation, validation, and deletion of the Cassandra(C*) database and Kubernetes Engine cluster.

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…

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).

A place for notes related to learning GKE.

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 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.

GKE ingress with GCP managed certificates

This repository hosts the terraform module that helps setup a GKE cluster and environment based on the Enterprise Multi-Tenancy Best Practices Guide.

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.

This is the shared project for two Kubernetes Engine demos

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 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.

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 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 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 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 demonstrates how a third party solution, like Datadog, can be used to monitor a Kubernetes Engine cluster and its workloads. Using the provided manifest, you will install Datadog and a simple nginx workload into your cluster. The Datadog agents will be configured to monitor the nginx workload, and ship metrics to your own Datadog ac…