Google Cloud Platform, offered by Google, is a suite of cloud computing services. It provides Infrastructure as a Service, Platform as a Service, and serverless computing environments. Alongside a set of management tools, it provides a series of modular cloud services including computing, data storage, data analytics and machine learning.
This repository provides solutions for Google Cloud Labs, offering easy-to-understand approaches to solving problems. It is designed to help learners quickly grasp key concepts and apply practical solutions, making Google Cloud Labs more accessible and easier to learn.
GitHub Action for interacting with Google Cloud Platform (GCP)
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.
A place to keep all my cheat sheets for the complete development of ASIC/FPGA hardware or a software app/service.
Run a security scan on your terraform with the very nice https://github.com/aquasecurity/tfsec
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.
⚡ Test speed and pings to all DigitalOcean, Linode, AWS, GCP, and Vultr regions
Ubuntu Desktop with NoMachine remote access and firefox, chrome (edge)
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.
Updating public dynamic IP address to existing cloudflare DNS record
Collection of cloud-based biomedical data science learning modules funded by the National Institute of General Medical Sciences at the NIH
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.
Start your Google Cloud Journey with 150 practical demos. Google Cloud Associate Cloud Engineer certification - GCP ACE
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.
Automate Qwiklabs Hands on Labs on GCP & AWS with Scripts.
Ephemeral GCE/GCP GitHub self-hosted runner
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.
🚀 App launcher for Google Cloud Platform.
Released April 7, 2008