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kubernetes-engine

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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…

  • Updated Aug 19, 2024
  • HCL

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).

  • Updated Sep 28, 2020
  • HCL

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.

  • Updated Aug 15, 2024
  • HCL

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.

  • Updated Aug 19, 2024
  • Shell

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.

  • Updated Sep 25, 2022
  • Shell

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 …

  • Updated Dec 14, 2023
  • Shell

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…

  • Updated Dec 14, 2023
  • Shell

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