#Gke-helmsman
Showing 9 of 9 repositories tagged #gke-helmsman, ranked by stars
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 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 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 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 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 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 and trace data in Grafana.
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 configured in an enterprise environment.