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ver best practices for sql server vms create create a high performance sql server vm add a sql server license to an existing linux server add a sql server license to an existing windows server configure sql server on google cloud using google cloud netapp volumes use file storage to configure sql server failover cluster instance use block storage to configure sql server always on availability groups configure windows set up alwayson availability groups using an internal load balancer set up alwayson availability groups using a distributed network name set up a failover cluster vm that uses s2d set up a failover cluster vm with multi writer disks configure linux set up a sql server cluster on linux with always on availability groups and pacemaker set up a sql server failover cluster on linux with multi writer disks migrate migrate a sql server database from aws ec2 to compute engine migrate a sql server database from windows to linux disaster recovery disaster recovery for microsoft sql server disaster recovery for microsoft sql server on persistent disk disaster recovery for microsoft sql server on hyperdisk deploying microsoft sql server for multi regional disaster recovery back up sql server databases to a google cloud storage bucket back up sql server databases using instant snapshots cloning a microsoft sql server database on compute engine load test sql server using hammerdb redis deployment options for redis on google cloud containers containers on compute engine deploy containers on vms and managed instance groups configure options to run your container transition from the container startup agent prepare for the shutdown of the container startup agent prevent the creation of vms that use the container metadata migrate containers that were deployed on vms 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 deploying microsoft sharepoint server on compute engine stay organized with collections save and categorize content based on your preferences this tutorial describes how you can deploy microsoft sharepoint server on compute engine the guide applies to microsoft sharepoint server 2016 and microsoft sharepoint server 2019 the sharepoint deployment will use six servers across two zones this setup corresponds to the medium high availability search optimized minrole farm topology the following diagram illustrates the deployment the article assumes that you have already deployed active directory and sql server on google cloud and that you have basic knowledge of sharepoint server active directory and compute engine objectives prepare a project for the deployment of sharepoint server deploy a minrole sharepoint farm that uses six servers two frontend with servers with distributed cache two application servers two search servers configure load balancing and firewall rules costs this tutorial uses billable components of google cloud including compute engine cloud load balancing use the pricing calculator to generate a cost estimate based on your projected usage before you begin to complete this guide you need the following an existing active directory domain with at least one domain controller you can use either managed service for microsoft active directory or a self managed active directory domain an administrative active directory that has permission to join computers create user accounts and add dns records a google cloud project and vpc with connectivity to your active directory domain controllers a sql server instance that is joined to the active directory domain and can be used for sharepoint for further details on how to set up a highly available sql server deployment on google cloud see deploying a multi subnet sql server always on availability group a subnet for the sharepoint vm instances the subnet must span at least two zones note if you use a self managed active directory domain make sure you have a private dns forwarding zone set up that forwards dns queries to your domain controllers before you begin the deployment review the system requirements for sharepoint server 2016 and 2019 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 when you finish the tasks that are described in this document you can avoid continued billing by deleting the resources that you created for more information see clean up preparing the project and network to prepare your google cloud project and vpc for the deployment of sharepoint server do the following switch to your project in the google cloud console and open cloud shell open cloud shell initialize the following variables vpc_name vpc_name subnet_name subnet_name subnet_region subnet_region subnet_zone_1 subnet_region a subnet_zone_2 subnet_region b where vpc_name is the name of your vpc subnet_name is the name of your subnet subnet_region is the region of your subnet set your default project id gcloud config set project project_id replace project_id with the id of your google cloud project creating firewall rules to enable communication between the servers of your sharepoint farm you need to create several firewall rules to simplify the creation of these firewall rules you use network tags frontend servers are annotated with the sharepoint frontend tag application servers are annotated with the sharepoint application tag search servers are annotated with the sharepoint search tag all servers are also annotated with the sharepoint tag create firewall rules that use these network tags and permit communication over the ports that sharepoint requires return to your existing cloud shell session create firewall rules for the sharepoint servers gcloud compute firewall rules create allow http between sharepoint servers direction ingress action allow rules tcp 80 tcp 443 tcp 32843 tcp 32844 enable logging source tags sharepoint target tags sharepoint network vpc_name priority 10000 gcloud compute firewall rules create allow search between sharepoint servers direction ingress action allow rules tcp 16500...