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operating system alternatively you can deploy software in a container onto an instance or to a mig a container carries both application software and the required libraries and is isolated from os apps and libraries a container can be moved between deployment environments without dealing with conflicting library versions in the container and its os an instance with apps deployed in a container the following process describes how you deploy a container on compute engine you bundle your app and required libraries into a docker image and publish the image to artifact registry or a third party registry such as docker hub you specify a docker image name and the docker run configuration when creating an instance or an instance template for a mig note as of november 1 2020 docker hub rate limits apply to unauthenticated or authenticated pull requests on the docker free plan to avoid disruptions and have greater control over your software supply chain you can migrate your dependencies to artifact registry compute engine executes the following tasks after you make a request to create an instance compute engine creates a vm instance that uses a google provided container optimized os image this image includes a docker runtime and additional software that is responsible for starting your container compute engine stores your container settings in instance metadata under the gce container declaration metadata key when the vm starts the container optimized os image uses the docker run command configuration that is stored in the instance s metadata pulls the container image from the repository and starts the container steps to create an instance or a managed instance group running a container limitations you can only deploy one container for each instance consider google kubernetes engine if you need to deploy multiple containers per instance you can only deploy containers from a public repository or from a private artifact registry or container registry repository that you can access other private repositories are not supported see the access control documentation for artifact registry or container registry for information about private registry permissions caution container registry is deprecated effective march 18 2025 container registry is shut down and writing images to container registry is unavailable for details on the deprecation and how to migrate to artifact registry see container registry deprecation you can t map an instance s ports to the container s ports docker s p option to enable access to your containers see publishing container ports you can only use container optimized os images with this deployment method you can only use this feature through the google cloud console or the google cloud cli not the api preparing a container for deployment choose one of the following approaches to make your container image accessible to compute engine upload your docker image to artifact registry use any publicly available container images from docker hub or other registries note consider running your container image builds on cloud build with none of the overhead of managing your own build servers deploying a container on a new instance you can deploy a container on a new vm instance by using the google cloud console or the google cloud cli caution the container startup agent that deploys containers on vms during vm creation is deprecated use the docker run commands in a startup script or use the cloud init tool to configure and to run containers on your vms and migs for more information see migrate containers that were deployed on vms during vm creation console note the deploy container option in the google cloud console is deprecated use the equivalent docker run command to configure and to run the container the following example deploys a container from a google provided nginx docker image https gcr io cloud marketplace google nginx1 latest to a vm instance to use a different docker image replace the nginx docker image with the one you want in the following steps go to create an instance if prompted select your project and click continue the create an instance page appears and displays the machine configuration pane in the machine configuration pane go to name and specify a name for your instance for more information see resource naming convention in the navigation menu click os and storage the operating system and storage pane appears go to the container section and then click deploy container in the configure container pane that appears do the following specify the container image to use consider the following examples to select an nginx 1 12 container image from cloud launcher specify gcr io cloud marketplace google nginx1 1 12 to deploy an apache container image from docker hub always specify the full docker image name such as docker io httpd 2 4 optional specify any other configuration parameters of your choice for more information about container configuration options see configuring options to run your container to finish configuring the container and return to the operating system and storage pane click select optional specify other configuration options for more information see configuration options during instance creation to finish creating the instance click create after creating your instance compute engine starts the instance and launches the container gcloud note the create with container gcloud cli command is deprecated use the equivalent docker run command to configure and to run the container in the google cloud console activate cloud shell activate cloud shell at the bottom of the google cloud console a cloud shell session starts and displays a command line prompt cloud shell is a shell environment with the google cloud cli already installed and with values already set for your current project it can take a few seconds for the session to initialize run the gcloud compute instances create with container command gcloud compute instances create with container instance_name container image container_image replace the following instance_name name for the new instance container_image name of the container image for example the following command creates an instance named nginx vm which launches and runs the container image gcr io cloud marketplace google nginx1 1 12 gcloud compute instances create with container nginx vm container image gcr io cloud marketplace google nginx1 1 12 to deploy an apache container image from docker hub always specify the full docker image name docker io httpd 2 4 updating a container on an instance you can update a docker image and configuration options to run the container on an instance using google cloud console or the google cloud cli caution the container startup agent that deploys containers on vms during vm creation is deprecated use the docker run commands in a startup script or use the cloud init tool to configure and to run containers on your vms and migs for more information see migrate containers that were deployed on vms during vm creation when you update an running a container compute engine performs two steps updates container declaration on the instance compute engine stores the updated container declaration in instance metadata under the gce container declaration metadata key stops and restarts the instance to actuate the updated configuration if the instance is running if the instance is stopped updates the container declaration and keeps the instance stopped the instance downloads the new image and launches the container at startup note if you specify a docker image labeled with latest the instance downloads the latest image and launches a container from the new image each time the instance starts don t use the latest label in production if you depend on a specific image version console note the deploy container option in the google cloud console is deprecated use the equivalent docker run command to configure and to run the container go to the vm instances page go to vm instances click the name of the instance to update on the instance details page click edit specify the new container image and update the options to run the container as needed to save your changes click save and restart compute engine saves the changes and restarts the instance automatically to make the update after the instance restarts it downloads the new image and starts the container with the updated configuration gcloud note the create with container gcloud cli command is deprecated use the equivalent docker run command to configure and to run the container update the container declaration by using the gcloud compute instances update container command for example gcloud compute instances update container nginx vm container image gcr io cloud marketplace google nginx1 latest this command sets the container image to gcr io cloud marketplace google nginx1 latest and restarts the instance to actuate the changes you can also update any of the properties described in configuring options to run your container by adding corresponding flags after the instance restarts it downloads the new container image and starts the container with the new configuration deploying a container on a managed instance group caution the container startup agent that deploys containers on vms during vm creation is deprecated use the docker run commands in a startup script or use the cloud init tool to configure and to run containers on your vms and migs for more information see migrate containers that were deployed on vms during vm creation you can deploy a container to a new managed instance group mig using google cloud console or the google cloud cli by following these steps create an instance template that is based on a docker image note to maintain identical instances in your group include a specific docker image version in your instance template such as nginx1 15 for more information see deterministic instance templates create a mig from the new instance template console note the deploy container option in the google cloud console is deprecated use the equivalent docker run command to configure and to run the container the following example creates an instance template that deploys a container from a google provided nginx gcr io cloud marketplace google nginx1 15 docker image to a mig to use other docker images replace gcr io cloud marketplace google nginx1 15 in the following example with the image you want to use go to the instance templates page go to instance templates to create an instance template click create instance template under container select deploy container image under container image specify the docker image name and configure options to run the container for example you can specify gcr io cloud marketplace google nginx1 15 for the container image click create next create a mig that uses the new instance template gcloud note the create with container gcloud cli command is deprecated use the equivalent docker run command to configure and to run the container create an instance template for running docker images using the gcloud compute instance templates create with container command gcloud compute instance templates create with container template_name container image docker_image you can also configure options to run your container for example the following command creates a new instance template with name nginx template which includes information about the docker image an instance created from this template launches and runs the docker image gcr io cloud marketplace google nginx1 15 when the instance starts gcloud compute instance templates create with container nginx template container image gcr io cloud marketplace google nginx1 15 next create a mig using the new instance template now that you have an instance template you can create a mig that uses the instance template for example to create a mig by using the gcloud cli and the nginx template that you just created run the following command gcloud compute instance groups managed create example group base instance name nginx vm size 3 template nginx template updating a managed instance group running a container beta this feature is subject to the pre ga offerings terms in the general service terms section of the service specific terms pre ga features are available as is and might have limited support for more information see the launch stage descriptions you can update a managed instance group mig to deploy a new version of a docker image or a new version of the container optimized os image updating a mig to a new version of a container image you can deploy a new version of a docker image to a mig by using the managed instance group updater in three steps prepare a new docker image for deployment create an instance template based on the new docker image in the same way you create a container based template update a mig to the new instance template by using the managed instance group updater updating a managed instance group to a new version of container optimized os image google updates container optimized os images regularly and you might want to apply those updates to your containerized migs without changing your docker image you can update a mig to a new version of a container optimized os image by using google cloud console or the google cloud cli in two steps create an instance template based on the current version of your docker image the same way you create a container based template for a new mig the latest supported version of a container optimized os image is used by default update a mig with the new instance template by using managed instance group updater connecting to a container using ssh you can connect to a container on an instance by using ssh use the gcloud cli to run gcloud compute ssh with the container flag gcloud compute ssh instance_name container container_name replace the following instance_name the name of the instance container_name the name of the container learn more about the gcloud compute ssh command and its arguments monitoring containers on compute engine to monitor your instances running a container optimized os image use the node problem detector agent which communicates with cloud monitoring and reports health related metrics the agent is built into container optimized os images starting with milestone 77 to enable the agent in containers using images with milestone 88 or later edit the custom metadata section and set google monitoring enabled to true note for more information about setting custom metadata for an instance refer to the vm metadata documentation to find other ways of enabling the node problem detector visit enabling health monitoring the node problem detector agent supports the metrics in the metrics list that begin with guest to interact with the metrics collected by the agent visit the metrics explorer viewing logs you can view three types of logs related to containers startup agent logs also known as konlet logs the startup agent parses the container s configuration and runs tasks to start ...
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