mvoora Goto Github PK
Name: Mahesh voora
Type: User
Company: ASM Infotech
Name: Mahesh voora
Type: User
Company: ASM Infotech
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 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 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 account.
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 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 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 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 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 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 as a part of the second scenario.
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 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 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.
Demo of the Kubernetes Provider v2 in Spinnaker
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