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during vm creation openshift workloads openshift on google cloud overview plan for openshift on google cloud overview of cluster services for openshift automatic configuration validation for openshift clusters built in integrations for openshift best practices for high availability with openshift disaster recovery for openshift on google cloud disaster recovery strategies for active passive and active inactive setups with openshift microsoft windows windows workloads best practices for windows server vms setting up active directory best practices for running active directory on google cloud deploy microsoft sharepoint server on compute engine deploying microsoft exchange server 2016 on compute engine windows server perform an in place upgrade of windows server run windows server failover clustering ibm spectrum symphony integrate ibm spectrum symphony with google cloud install the compute engine symphony provider install the google kubernetes symphony provider troubleshoot ibm spectrum symphony others load testing distributed load testing using kubernetes ssh port forwarding and load testing analytics monte carlo methods using apache spark machine learning run tensorflow inference workloads with tensorrt5 and nvidia t4 gpu monitor monitor logs view audit logs view usage reports view compute engine operations migrate from activity logs to audit logs view activity logs monitor resources monitor vm and sole tenant node usage observe and monitor vms monitor gpu performance monitor gpu performance on linux vms monitor gpu performance on windows vms monitor disks monitor disk health monitor the replica states of regional disks monitor disks list of metrics for pools monitor pools monitor reservations organize resources using labels scale autoscale groups of vms about autoscaling groups of vms create and manage autoscalers scale based on cpu utilization scale based on predictions scale based on load balancing serving capacity scale based on monitoring metrics scale based on schedules use an autoscaling policy with multiple signals manage autoscalers understand autoscaler decisions view autoscaler logs autoscale node groups reserve vm capacity choose a reservation type sharing reservations best practices for shared reservations allow a project to share reservations on demand reservations about on demand reservations create an on demand reservation for a single project for multiple projects combine an on demand reservation with a cud modify an on demand reservation delete an on demand reservation future reservations about future reservations create a reservation request for a single project for multiple projects modify a reservation request delete a reservation request future reservations in calendar mode about future reservations in calendar mode create a reservation request in calendar mode delete a reservation request in calendar mode view reservations or reservation requests consume a reservation prevent vms from consuming reservations load balancing about load balancing and scaling add an instance group to a load balancer request routing to a multi region external https load balancer cross region load balancing for microsoft iis backends set up internal tcp udp load balancing build reliable and scalable applications use autohealing for highly available applications use load balancing for highly available applications use autoscaling for highly scalable applications globally autoscale a web service on compute engine patterns for scalable and resilient applications patterns for using floating ip addresses on compute engine optimize resource utilization use recommendations to manage resources apply machine type recommendations to vms configure machine type recommendations apply machine type recommendations to migs view and apply idle resources recommendations view and understand vm insights view and understand mig insights manage idle vm recommendations idle vm recommendations overview view and apply idle vm recommendations configure idle vm recommendations manage reservation recommendations reservation recommendations overview view and apply idle reservation recommendations view and apply underutilized reservation recommendations configure idle reservation recommendations configure underutilized reservation recommendations overcommit cpus on sole tenant vms manual live migration about manual live migration manually live migrate vms share sole tenant node groups next generation dynamic resource management cost savings get discounts for committed usage about commitments and committed use discounts cuds resource based cuds purchase resource based commitments without attached reservations with attached reservations for os licenses manage resource based commitments renew commitments automatically extend commitment terms merge and split commitments upgrade commitments share resource based cuds across projects get discounts for sustained usage disk performance optimize hyperdisk performance optimize persistent disk performance optimize local ssd performance workload performance set the number of threads per core customize the number of visible cpu cores analyze the cpu performance using the pmu pmu overview enable the pmu in vms manage the pmu in vms network performance network bandwidth use google virtual nic use irdma network driver use idpf network interface configure a vm with higher bandwidth reduce latency by using compact placement policies optimize tcp network communication optimize tcp network performance optimize tcp network resiliency benchmark higher bandwidth vms optimize app latency with load balancing use dpdk to improve network performance network performance and gpu vms networking and gpu machines use higher network bandwidth patterns for using multiple host nics troubleshoot general tips troubleshoot connectivity troubleshoot rdp troubleshoot ssh troubleshoot os login troubleshoot vms troubleshoot vm operations troubleshoot vm creation troubleshoot resource availability errors troubleshoot bulk api vm creation troubleshoot vm reboots and shutdowns troubleshoot vm suspension troubleshoot vm updates troubleshoot unresponsive vms troubleshoot vm startup troubleshoot fstab errors troubleshoot kernel panic collecting core dumps rescue an inaccessible vm troubleshoot cpu bus locks troubleshoot cpu soft lockups troubleshoot vm configurations troubleshoot arm vms troubleshoot gpu vms troubleshoot nvidia gpu errors generate a nvidia bug report for blackwell gpus troubleshoot nested virtualization troubleshoot using vm screenshots troubleshoot sole tenant nodes troubleshoot vm performance issues troubleshoot sudoers files troubleshoot windows vms troubleshoot windows vms collecting diagnostic information troubleshoot using the serial console troubleshoot using the serial console viewing serial port output troubleshoot instance groups troubleshoot managed instance groups migs troubleshoot os management troubleshoot licenses troubleshoot image import and export troubleshooting sles pay as you go registration troubleshooting ubuntu pro registration troubleshoot metadata server troubleshoot metadata server troubleshoot networking issues troubleshoot common networking issues troubleshoot network drivers troubleshoot vm performance issues troubleshoot storage troubleshoot disk creation troubleshoot full disks and disk resizing troubleshoot disk encryption troubleshoot nvme disks troubleshoot instant snapshots troubleshoot standard snapshots troubleshoot reservations and commitments troubleshoot reservation creation troubleshoot reservation consumption troubleshooting reservation monitoring troubleshoot reservation updates troubleshoot future reservation creation and updates troubleshoot automatic commitment renewal troubleshoot quota errors troubleshoot concurrent operation quota errors troubleshoot workload authentication troubleshoot default service accounts troubleshoot workload to workload authentication ai and ml application development application hosting compute data analytics and pipelines databases distributed hybrid and multicloud industry solutions migration networking observability and monitoring security storage access and resources management costs and usage management infrastructure as code sdk languages frameworks and tools home documentation compute compute engine guides send feedback custom constraints stay organized with collections save and categorize content based on your preferences this page shows you how to use organization policy service custom constraints to restrict specific operations on the following google cloud resources compute googleapis com disk compute googleapis com image compute googleapis com instance compute googleapis com instancegroup to learn more about organization policy see custom organization policies about organization policies and constraints the google cloud organization policy service gives you centralized programmatic control over your organization s resources as the organization policy administrator you can define an organization policy which is a set of restrictions called constraints that apply to google cloud resources and descendants of those resources in the google cloud resource hierarchy you can enforce organization policies at the organization folder or project level organization policy provides built in managed constraints for various google cloud services however if you want more granular customizable control over the specific fields that are restricted in your organization policies you can also create custom constraints and use those custom constraints in an organization policy policy inheritance by default organization policies are inherited by the descendants of the resources on which you enforce the policy for example if you enforce a policy on a folder google cloud enforces the policy on all projects in the folder to learn more about this behavior and how to change it refer to hierarchy evaluation rules benefits cost management use custom organization policies to restrict the virtual machine vm instance and disk sizes and types that can be used in your organization you can also restrict the machine family that is used for the vm instance security compliance and governance you can use custom organization policies to enforce policies as follows to enforce security requirements you can require specific firewall port rules on vms to support hardware isolation or licensing compliance you can require all vms within a specific project or folder to run on sole tenant nodes to govern automation scripts you can use custom organization policies to verify that labels match specified expressions before you begin sign in to your google cloud account if you re new to google cloud create an account to evaluate how our products perform in real world scenarios new customers also get 300 in free credits to run test and deploy workloads in the google cloud console on the project selector page select or create a google cloud project roles required to select or create a project select a project selecting a project doesn t require a specific iam role you can select any project that you ve been granted a role on create a project to create a project you need the project creator role roles resourcemanager projectcreator which contains the resourcemanager projects create permission learn how to grant roles note if you don t plan to keep the resources that you create in this procedure create a project instead of selecting an existing project after you finish these steps you can delete the project removing all resources associated with the project go to project selector verify that billing is enabled for your google cloud project install the google cloud cli if you re using an external identity provider idp you must first sign in to the gcloud cli with your federated identity to initialize the gcloud cli run the following command gcloud init in the google cloud console on the project selector page select or create a google cloud project roles required to select or create a project select a project selecting a project doesn t require a specific iam role you can select any project that you ve been granted a role on create a project to create a project you need the project creator role roles resourcemanager projectcreator which contains the resourcemanager projects create permission learn how to grant roles note if you don t plan to keep the resources that you create in this procedure create a project instead of selecting an existing project after you finish these steps you can delete the project removing all resources associated with the project go to project selector verify that billing is enabled for your google cloud project install the google cloud cli if you re using an external identity provider idp you must first sign in to the gcloud cli with your federated identity to initialize the gcloud cli run the following command gcloud init ensure that you know your organization id required roles to get the permissions that you need to manage organization policies for compute engine resources ask your administrator to grant you the following iam roles organization policy administrator roles orgpolicy policyadmin on the organization resource to test the constraints compute instance admin v1 roles compute instanceadmin v1 on the project for more information about granting roles see manage access to projects folders and organizations these predefined roles contain the permissions required to manage organization policies for compute engine resources to see the exact permissions that are required expand the required permissions section required permissions the following permissions are required to manage organization policies for compute engine resources orgpolicy constraints list orgpolicy policies create orgpolicy policies delete orgpolicy policies list orgpolicy policies update orgpolicy policy get orgpolicy policy set to test the constraints compute instances create on the project to use a custom image to create the vm colon compute images usereadonly on the image to use a snapshot to create the vm colon compute snapshots usereadonly on the snapshot to use an instance template to create the vm colon compute instancetemplates usereadonly on the instance template to assign a legacy network to the vm colon compute networks use on the project to specify a static ip address for the vm colon compute addresses use on the project to assign an external ip address to the vm when using a legacy network colon compute networks useexternalip on the project to specify a subnet for the vm colon compute subnetworks use on the project or on the chosen subnet to assign an external ip address to the vm when using a vpc network colon compute subnetworks useexternalip on the project or on the chosen subnet to set vm instance metadata for the vm colon compute instances setmetadata on the project to set tags for the vm colon compute instances settags on the vm to set labels for the vm colon compute instances se...
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