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Gcp build image

Building with a build config file. To build your Docker image using a build config file: In the same directory that contains your application source code, create a file named cloudbuild.yaml or cloudbuild.json. In the build config file: Add a name field and specify the pre-built Docker image. The pre-built image is stored in the Container. Click Create to create the image. In the gcloud command-line tool, use the gcloud compute images create command to create a custom image. Create an image from a source disk: The --force flag is an optional flag that lets you create the image from a running instance Use operating system images to create boot disks for your instances. You can use one of the following image types: Public images are provided and maintained by Google, open source communities, and third-party vendors. By default, all Google Cloud projects have access to these images and can use them to create instances. Custom images are available only to your Cloud project If you're unfamiliar with Packer, you should start by building an image manually. Refer to our blog for a step-by-step tutorial: Build a GCP VM image with Packer. Automating GCE Image builds with Packer and Shippable. You can easily automate your workflow using Shippable's Assembly Lines

Building container images Cloud Build Documentation

Let's proceed to create a build configuration file to build our Docker image. Create a build_gcp.yaml file in the repository root. Add the steps field. This field will contain the build steps that Cloud Build will perform. steps: Add the first step. Add a name field under steps. This tells Cloud Build which container image to use in this. In the Google Cloud Console, go to the Machine images page. Go to Machine images. Click Create Machine image. Specify a Name for your machine image. Optional: Provide a Description. Select the Source VM instance. Optional: Specify where to store the machine image. Choose between Multi-regional or Regional storage The following official community-supported images are compatible with the hosted Cloud Build service and function well as build steps; note that some will require that you specify an entrypoint for the image. Additional details regarding each alternative official image are available in the README.md for the corresponding Cloud Builder image_family (string) - The name of the image family to which the resulting image belongs. You can create disks by specifying an image family instead of a specific image name. The image family always returns its latest image that is not deprecated. image_labels (map[string]string) - Key/value pair labels to apply to the created image Both images are provided by Google, but you can also upload your own images into Container Registry and reference them in your build steps. We make use of some variables like ${PROJECT_ID} and.

Creating, deleting, and deprecating custom image

In the above example I specified the timeout as 30 minutes as the GCP default (10 minutes) isn't enough time for this job. The ${_ENV} value is a substitution that is passed into the Cloud Build job. In the example above this is to allow the same code to be run in multiple projects. However in this case I don't want to build an image. Cloud Build is Google's Continuous Integration(CI) and Continuous Delivery(CD) platform.. Cloud SDK has set of tools using which you can manage resources and application hosted on GCP. This SDK provides the following command line tools for you, gcloud (to manage GCP resources and developer workflow), gsutil (Google Cloud Storage util) and bq (BigQuery util) I have been trying to replicate this workflow in GCP and I found that GCP does not have an option of community images. And you cannot make it 'public' either. But you can use gcloud compute images export command to export an image to an external file and upload it to a bucket. But how to use this to create an instance Image : cloud.google.com. Google Container Registry (GCR) is a service in Google Cloud Platform (GCP) to manage your own docker container repository. This is fully managed service and you can store your custom container images as well as common images from other image repositories For packer to build a custom image, it needs a blueprintso as to know what to include in the image.The blueprint is the packer template and is put together by you. It is a *.json file.

Images Compute Engine Documentation Google Clou

In this video, we walk you through a process for creating a custom Compute Engine image based on the Debian Testing release. If you've ever wanted to try yo.. set up & build previous image working in GCP. I'm new to google cloud. Our project has been deployed on google Cloud. We are using gcloud deploy commands to deploy any build and we are good with it. My question is: what if my current build fails during production deployment and there's lots of users using the application This video shows you how to create(take) a snapshot from a virtual machine in Google Cloud Platform and create an image of it, for further use as a disk in a.. Now, it's time to create our blueprint — the Docker image. We can create this by executing the command: docker build -t gcp-api . Here, the Docker image build command is docker build; Next, we use the -t flag to specify our image name — gcp-api; Finally, we tell Docker to include everything from the current directory with In recent years, you may hear about Docker, Docker Swarm, Kubernetes, devops and so on. In stead of asking what them are, we should ask ourselves why we use them. Of course, I will not tal

Build Google Compute Engine Image with Packe

  1. I want to create an image in Google Cloud Platform (GCP) from an existing Snapshot using terraform, so as to automate the process of creating multiple images. google-cloud-platform terraform terraform-provider-gcp. Share. Improve this question. Follow edited Nov 23 '20 at 13:34
  2. You can continue doing the steps in the next section. The cluster should be ready, when you finish building and pushing the docker image to Container Registry. Build a Docker Image of Sample Application. If you do not remember how to build a docker image on GCP, I recommend you revise the lab Introduction to Docker before you start
  3. What's missing is how to pass the compiled image in step build-image to the push-gcp step. Note we cannot use just one step, as both need different Docker images, one for building and another one that has all the tools to push to GCP. To pass images between steps,.
  4. View Code An example of building a custom Docker image and pushing it into a Google Cloud Container Registry and then in a separate project deploying that image with the Google Cloud Run service using TypeScript. Note this is an adaptation of the gcp-ts-cloudrun example Prerequisites Ensure you have the latest Node.js and NPM Install the Pulumi CLI Configure Pulumi to access your GCP account.
  5. For example, given the artifact image name gcr.io/myproject/image, Skaffold will use the myproject GCP project. diskSizeGb: disk size of the VM that runs the build. See Cloud Build Reference. machineType: type of the VM that runs the build. See Cloud Build Reference. timeout: amount of time (in seconds) that this build should be allowed to run
  6. We can build a Docker image that will run our custom server by defining just a single configuration file. This file is called rather unimaginatively a Docker file. Let's take a look at an example Docker file, make some changes to it and see how we can use Google Cloud Build to create our customized server image and store it on GCP for us

Go to the Create a new image page in the GCP Console. Specify the image Name. Choose a Source disk with a Windows operating system from which you want to create an image. Specify the location to store the image. Choose an image location from the Based on source disk location (default) drop-down menu CIS Hardened Images on GCP are now built on Google Cloud's Shielded VM base images. Shielded VMs provide an even more secure foundation for all of GCP by limiting mistakes and ensuring your organization is only using supported images. There is no additional cost for using a Shielded VM on Google Cloud and bring your own (BYO) image licensing. Step 5: Create a bucket in Google project, we will use that bucket for saving compressed raw boot disk image. Here we have created the bucket with custom-image-datastore name. Step 6: Configure your google account and save the raw file into the bucket either by gsutil or Google cloud console You can find the build config file for the private repo as build_gcp_private.yaml in the repo root by viewing my git commit or using: $ git checkout v1.18 Summary. In this part of the tutorial, we've learned how to build a Docker image from a private GitHub or Bitbucket repository in Google Cloud Build

Building a Docker Image in Google Cloud Build (Part 11

These containers run a Docker image that defines the build environment. You can use the default image provided by Bitbucket or get a custom one. We support public and private Docker images including those hosted on Docker Hub, AWS, GCP, Azure and self-hosted registries accessible on the internet Google Cloud Platform lets you build, deploy, and scale applications, websites, and services on the same infrastructure as Google In the root directory create a folder and name it helpers. Then, create a helpers.js file in it. We are going to use this file to create some helper functions that would help us with the image upload If you're using a Jupyter notebook in Kubeflow on Google Cloud Platform (GCP), you can submit Docker image builds to Cloud Build. Cloud Build builds the Docker image and pushes it to Google Container Registry. Building a Docker image. Run the following command in a Jupyter notebook cell to activate the attached service account

Using Packer to Build Server Images with Google Cloud Build - Managing Infrastructure as Code on GCP course from Cloud Academy. Start learning today with our digital training solutions Building & Deploying an Image Classification Web App with GCP AutoML Vision Edge, Tensorflow.js & GCP App Engine In this article, we'll be learning how we can make a custom image classification web application with a minimal amount of code using AutoML & deploy it on Google Cloud App Engine

To address this challenge, we're excited to announce Jib, an open-source Java containerizer from Google that lets Java developers build containers using the Java tools they know. Jib is a fast and simple container image builder that handles all the steps of packaging your application into a container image [PYTHON] Build GPU environment with GCP and kaggle official image (docker) Introduction Since it was necessary to have a GPU-equipped machine power to participate in the kaggle image competition, we built a GPU environment with GCP

This is a guest post authored by Zoltán Siki, the creator of the awesome Find-GCP project. Have you tried to create the gcp_list.txt file for a project with hundreds of images? It is a time-consuming and boring task to find each Ground Control Point (GCP) in 6-10 images and the chance of misidentification are high. The full range of GCP modules provide the ability to create a wide variety of GCP resources with the full support of the entire GCP API. disks[].initialize_params.source_image. You'll need to create a single disk using the disks[] parameter and set it to be the boot disk (disks[].boot = true) image_family An authenticated GCP account; Google AI platform APIs enabled for your GCP account. We use the AI platform for deploying docker images on GCP. Either a functioning version of docker if you want to use a local docker process for your build, or create a cloud storage bucket to use with Google Cloud build for docker image build and publishing

Alpine GCP Image Builder. This Packer template can be used to create an Alpine Linux image that is compatible with GCP, QEMU and Xen. Purpose. Although Alpine Linux is most commonly used as a base system for container images, it is also possible to use Alpine as a full operating system on bare metal or a hypervisor Create a master image snapshot. Create a snapshot of your master image before kicking off MCS. This will ensure a naming convention that makes sense to you. Choose a name and click create. Creating a Machine Catalog. Click on the machine Catalog and choose create new Catalog. Click next. Choose Multi- Session OS. Choose the GCP connection for. Click on the Create Instance link at the top of the page and give your VM instance a name. Click on the Deploy a container image box and then enter: clojure in the Container Image field. Be sure to click on the Advanced container options and click in both the Allocate a buffer for STDIN and Allocate a pseudo-TTY boxes URL of the source image used to create this image. In order to create an image, you must provide the full or partial URL of one of the following: * The selfLink URL * This property * The rawDisk.source URL * The sourceDisk URL . This field represents a link to a Image resource in GCP. It can be specified in two ways A build is the process of transforming input parameters into a resulting object. Most often, the process is used to transform input parameters or source code into a runnable image. A BuildConfig object is the definition of the entire build process. OpenShift Container Platform uses Kubernetes by creating containers from build images and pushing.

As per the GCP documentation you can create VM using a machine image from a different project directly. Please note that, when you create a VM by using a machine image from a different project, you might not have access to the service account attached to that source project Google Compute Engine - Infrastructure as a Service (IaaS) platform that delivers high powered Virtual machines and is comparable to Amazon EC2.; Google App Engine - Platform as a Service (PaaS) platform for building scalable web applications.; Google Container Engine - Built on Open source Kubernetes, GKE is a powerful platform for managing and running Docker containers build_push_image: This job builds a new Docker image based on a Dockerfile which usually co-exists in the project repo. deploy_to_gcp: This job deploys to a GKE cluster via the Pulumi orb. I'll be focusing on the build_push_image and the deploy_to_gcp jobs. build_push_image Build Infrastructure. 10 min; Products Used; With Terraform installed, you are ready to create some infrastructure. You will build infrastructure on Google Cloud Platform (GCP) for this tutorial, but Terraform can manage a wide variety of resources using providers.You can find more examples in the use cases section.. As you follow the tutorials in this collection, you will use Terraform to.

GCP Cloud Build allows you to build containers remotely using the instructions contained in Dockerfiles. Remote builds are easy to integrate into CI/CD pipelines. Now, once we have our Dockerfile ready, build your container image using Cloud Build by running the following command from the directory containing the Dockerfile Google Cloud Run is a serverless environment to run containers. For the background and context of this latest Google Cloud Platform (GCP) service, refer to my previous article. In this tutorial, we will deploy a web application based on Node.js and MongoDB to the Cloud Run platform. Since Cloud Run is meant to host an Kubernetes Engine accepts Docker images as the application deployment format. To build a Docker image, we need to have an application and a Dockerfile. For this tutorial, we will deploy a sample web application called hello-app, a web server written in Go that responds to all requests with the message Hello, World! on port 80

Creating machine images Compute Engine Documentation

  1. make create will build the image and deploy it to your GKE cluster successfully, however the container may not run successfully on the GKE cluster, so your angular_js_client workload may contain errors when you view it in the GCP console
  2. For GCP. Prerequisites: Make sure that you have your own copy of this repository on your GitHub organization. Make sure that you have a JSON-formatted key for a GCP service account that has sufficient permission to create GCE images using Packer. Refer to documentation of Packer for details
  3. To complete the set up, you must have G Cloud installed and have an authenticated user account. Download the Broker VM VMDK image from Cortex XDR (see Configure the Broker VM ). From G Cloud, create a Google Cloud Storage bucket to store the broker VM image. Create a project in GCP and enable Google Cloud Storage, for example: brokers-project
  4. Source - https://google.qwiklabs.com/quests/47?locale=en Lab - https://google.qwiklabs.com/focuses/1738?parent=catalog -----..
  5. Azure Pipelines deploying to GCP App Engine Flexible - Part 1. In this blog series, we will be creating a build and release pipeline in Azure DevOps that will deploy an App Engine Flexible Environment in GCP. The application we are deploying will contain 2 services where both of these services will be created from Dockerfiles

Google Cloud Build official builder images - GitHu

  1. GCP Cloud Build allows you to build containers remotely using the instructions contained in Dockerfiles. Remote builds are easy to integrate into CI/CD pipelines. They also save local computational time and energy as Docker uses lots of RAM. Once we have our Dockerfile ready, we can build our container image using Cloud Build
  2. In this blog post, you will learn how to create a custom Docker image for Google Cloud Shell that includes the Helm client and Terraform. At a high-level you have to do 2 things: Create and publish a Docker image. Configure your custom image to be used in Cloud Shell. 1. Create and Publish custom Cloud Shell Docker image
  3. In this episode of Kubernetes Best Practices, Sandeep Dinesh shows how you can build small containers to make your Kubernetes deployments faster and more sec..

Install Packer on Ubuntu to create server machine images for any of the cloud platforms (Azure/AWS/GCP). To start using Packer on any of the cloud platforms, the recommended way is to deploy a server with Packer installed, fully configured and setup In 2019 edition of Nexus User Conference, I have presented how to build a CI/CD workflow on GCP with GKE, Cloud Build and Infrastructure as Code tools such us Terraform & Packer. This post will walk you through how to create an automated end-to-end process to package a Go based web application in a Docker container image, and deploy that. Create Linux VM in GCP with Terraform Remote Exec. In this article, we are going to see how to create a Linux Virtual machine and provision it using the Terraform remote execution strategy. We are going to be using SSH method to connect to the Virtual machine and provision it on the go by executing some startup Shell script Because Cloud Run is docker platform, your application must be dockernized. To dockernize your Next.js app, please follow 3 steps below. Create Dockerfile. Create .dockerignore. Configure port setting. 1. Create Dockerfile. There are base docker images like node:15.0.1 , but it's not enough for your application

Google Cloud Platform - Builders Packer by HashiCor

  1. Click the created Service-account name on the Service account Page Select the Keys and click ADD KEY and click create a new key. Select the JSON option and click create. Note: Make sure to store the downloaded key somewhere safe if the key gets compromised the attacker can access the resources in the GCP Build the custom Image. Clone the repo.
  2. Once you create a build image, you likely want to provision some instances on GCP using that image. Sometimes there is an entire dependency tree of workflows that need to be triggered if the image.
  3. g conventions established by GCP when configuring machine catalogs. See Bucket and object na
  4. Here is detailed steps how to share GCP (Google Cloud Platform) compute engine image cross user accounts and projects. 1. Log into your GCP. 2. Create a new image from Compute Engine 's images menu. 3. Share Project with other users in IAM. 4. Accept Google Developers Console project invitation

Follow these steps to add new GCPs to an existing set, or to create a new set of GCPs. A display group shows the image selected as the Active Image in the GCP Selection panel. To change the image that is displayed, select a different image from the Active Image list or Shift-click an image boundary in the Layout Manager to make that image active.The active image is shown with a red border in. Consider image resolution when you choose features, so they will be clearly depicted in your imagery. If you don't have a GCP file and you need to measure GCPs on a reference map, use the Manage GCPs tool to enter a GCP by clicking a location on the map and adding the corresponding tie points in the viewers. The accuracy of these secondary GCPs. In other words, you send an image to the model, and the model does its best to identify the digit shown in the image. In the above screenshot, the image shows a hand-written 7. This image was the input to the model. The table below the image shows a bar graph for each classification label from 0 to 9, as output by the model

How to Set Up a Deployment Pipeline on GCP with Cloud

Once the GCPs have been imported, the table in the GCP Manager will be populated. In the GCP Manager window, select GCP9. Click the View GCP Photo button to display the GCP image chip, and use the Dynamic Range Adjustment button to increase the image contrast. Click the Add Tie Point button to add a tie point in the image viewer for each image. Cloud Build is a service that executes your builds on GCP. It executes a series of build steps, where each build step is run in a Docker container to produce your application container (or other artifacts) and push it to Cloud Registry, all in one command. Once pushed to the registry, you will see a SUCCESS message containing the image name. Repository Link - https://github.com/sumedhdixit/GCP/tree/Build-and-Deploy-a-Docker-Image-to-a-Kubernetes-Cluster In this video we will see how to pass Bu..

Sử dụng Packer để tự động build VM Image trên GCP. by Van Duong August 20, 2020 January 19, 2021. Nếu như bạn là một SysAdmin hoặc một DevOps Engineer. Công việc quản lý, vá lỗi (path), cài đặt phần mềm hoặc triển khai code từ các developer cho các VM Image xảy ra thường xuyên. Ngoài ra. you change the pfsense image, create a gcp image from it , boot it and configure via serial port

Deploying Packer in GCP to build Windows Images using

Now we are ready to build and publish your container image to the chosen registry. The Docker provider's Image component internally uses the Docker engine to perform the necessary steps to carry this out, including building, tagging, capturing, and streaming container build logs as progress is made and pushing the final result Packer is a great devops automation tool for creating server machine images for any of the cloud platforms (Azure/AWS/GCP). To start using Packer on any of the cloud platforms, the quickest and easiest way is to install a server with Packer installed and configured Using Public and Private Docker Images from GCP Artifact Registry. Docker is becoming a de facto for modern software deployment as well as development. From the build pipeline to CI/CD, the adoption of docker is increasing rapidly. Even the workflow automation like Github Actions is fully dependent in docker

The first step is to have images pushed to the private Container Registry of a GCP source project. For this testing, we are going to use busy-box as an example. See my previous article here on enabling the Container Registry for a project: pulling the busybox image from docker hub, and then pushing those images to a private 'gcr.io/<projectId. 3. On the GCP/MTP Table, select the GCP to be marked. 4. On the Images section, sort the image list: By name: The images are sorted alphabetically. By Distance to GCP: Images closer to the GCP are listed first. This sorting can be used only if the images and GCPs are geolocated using a known coordinate system A container image represents binary data that encapsulates an application and all its software dependencies. Container images are executable software bundles that can run standalone and that make very well defined assumptions about their runtime environment. You typically create a container image of your application and push it to a registry before referring to it in a Pod This page provides. To create an instance template, From the GCP console, click on Go to Compute Engine. Click on Create Instance templates as shown below. Enter the Name of the instance. Select Small (1 shared vCPU) as the Machine Type. Select a boot disk with a CentOS 7 image and 20 GB capacity. Under Identity and API access and click on Set access for each API CIS Hardened Images for Microsoft Windows are updated each month in alignment with the Microsoft patch schedule. A new hardened image will be released with a new versioning number to indicate the update completion. CIS Hardened Images for Linux are updated every month incorporating applicable operating system and software patches

GCP Cloud Build 跨專案部署 | Use Cloud Build to deploy service

Build a Docker Image with a Dockerfile and Cloud Build in GCP

• Create two new VPCs and Subnets (one each for the LAN1 and MGMT interfaces). o Note: The MGMT interface is not enabled by default in NIOS. • Upload image file and Create custom image. • Launch your Infoblox vNIOS for GCP appliance using the custom image By taking snapshots of an image, you create instant backups and you can copy data from existing VMs to launch new VMs. Let's put all of that in practice and get started with your first VM! Getting Started with Your First VM on GCP Create an Account and Project. To open an account on the GCP, you need a standard Google (Gmail) account Create a Google compute instance from the Neo4j public image List all available Neo4j public images. The images are published in a GCP project called launcher-public , so by listing images in that project, you can see what is available The main requirements for deploying our app on GCP after creating an account includes. Dockerfile; App.yaml File; Google Cloud SDK; Let us start. Creating the Dockerfile. For us to build a docker image and a container to run our app we will be using a Dockerfile

How to create a gcp instance from a custom image

Estimate image links. Run the Estimate image links tool to place a point at an estimated location in each image that contains the GCP. Adding an estimated point in each image simplifies the process of linking GCPs with your images. After initial processing completes, use the link editor to adjust the estimated point to the precise location of the GCP in the recommended number of images GoLang: Using multi-stage builds to create clean Docker images. The Go programming language is a natural fit for containers because it can compile down to a single statically-linked binary. And if you place that single executable on top of scratch, a distroless image, or a small image like alpine, your final image has a minimal footprint which. It will take some time to create the project. Create VM instance. Click on Create. Take the quickstart it is a small tutorial on how to create the VM. Basic Details. Enter the virtual machine name. gcp-vm. Select the nearest region. Select the Series N1 and machine type n1-standard-1. Select the OS and Disk size. Change the OS Image to Ubuntu.

Adding Container Images to Google Container Registry (GCR

#List all credentialed accounts. gcloud auth list # to authenticate with a user identity (via web flow) which then authorizes gcloud and other SDK tools to access Google Cloud Platform. gcloud auth # Display the current account's access token. gcloud auth print-access-token gcloud auth application-default gcloud auth application-default. Upload the compressed image archive to GCP. Create new image with the archive. Add new VM instance with image created at step 2 as boot disk. Add my ssh public key to the VM instance. Boot up the VM Check out my GCP For beginners tutorial if you are not familiar with GCP. Introduction. We can create Kubernetes Engine cluster using GCP console or using gcloud CLI. CLI is a more flexible way to make the operation repeatable or to integrate it with your existing pipeline. Prerequisite. 1. GCP Project Created. 2. gcloud CLI configure Before we make any changes in CircleCI, we'll need a way to communicate with GCP. In our case, we need CircleCI to push the created image to GCR and update the deployed instance with the new image. We'll use a service account on GCP. Create the service account using these instructions. Give the service account Editor permission to the project Your bastion host on GCP is now ready! Accessing a discrimiNAT instance through the Bastion. The discrimiNAT image is hardened per CIS Benchmark for Ubuntu Linux 18.04 LTS Benchmark v1.0.0 Level 2 Server. Therefore, SSH access to it requires your posture to be sound and secure. Let's check with a few commands on your machine

In the GCP Console, click Activate Cloud Shell and start Cloud shell. Run below kubectl run command, this will create two replicas for nginx. kubectl run nginx --image=nginx --replicas=2. Run below command to check the status of pods. kubectl get pods -owide. Run below command to allow access to nginx deployment. kubectl expose deployment nginx. The process to create the Ubuntu image is much the same. First, we'll create a new disk in our project and load the public ubuntu 20.04 image. gcloud compute disks create ubuntu-2004-lts --image-project ubuntu-os-cloud --image-family ubuntu-2004-lts --zone us-central1-b. Then we'll build a new image locally in our project by passing the.

Building a data pipeline on GCP — noob edition - Sarthak

Building custom machine images with Packer by David

Firebase uses Google Cloud service accounts to operate and manage services without sharing user credentials. When you create a Firebase project that uses Cloud Storage, you might notice that a corresponding service account is already available in your project: service-<project number>@gcp-sa-firebasestorage.iam.gserviceaccount.com Login to GCP Portal. Go to Kubernetes Engine (Left Panel). Select Kubernetes clusters. From the list of clusters, choose the reported cluster. Under Node Pools, For Node image click on 'Change'. Choose 'Container-Optimized OS (cos)'. Click on Change This will install all the packages needed from the requirements.txt file and run main.py from the app folder.. Build the Docker File. First, cd to the root directory in your command line. To create the Docker image you will need to provide a tag related to your GCP project using the following

Create a Custom VM-Series Firewall Image for Google Cloud

8. Verify and link markers to images (use FILTER BY MARKERS by right clicking on GCP). Because the acquired images and the markers now have the same coordinate reference system, it should be easy to find and mark your GCPs in your images. Mark each GCP in 3-6 images. That should be sufficient GCP's latest announcement of Cloud Native Buildpacks comes with a collection of open-source buildpacks and builders. These buildpacks aim to automate the process of assembling containers as it involves a lot of manual processes such as creating security models or OS images Create a project to host the shared VPC for your OpenShift Container Platform cluster. See Creating and Managing Projects in the GCP documentation. Create a service account in the project that hosts your shared VPC. See Creating a service account in the GCP documentation. Grant the service account the appropriate permissions If you don't have an Azure subscription, create a free account before you begin. Discover and assess. Before you migrate to Azure, we recommend that you perform a VM discovery and migration assessment. This assessment helps right-size your GCP VMs for migration to Azure, and estimate potential Azure run costs. Set up an assessment as follows To deploy our Dockerized App on the GKE cluster, you can use the kubectl CLI tool to create a Kubernetes Pod. A pod is the smallest deployable object in the Kubernetes object model and will contain only your simple-web-app Docker image. First, configure kubectl to use the newly created cluster