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description= Learn about Google Compute Engine SQL Server virtual machine (VM) instances;
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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 create sql server vm instances stay organized with collections save and categorize content based on your preferences microsoft sql server is a database system that runs on windows server and some linux distributions you can use sql server on compute engine as part of the backend for your applications as a flexible development and test environment or in addition to your on premises systems for backup and disaster recovery compute engine provides images with microsoft sql server preinstalled on windows server for these sql server images compute engine manages the license for both windows server and sql server and includes the cost in your monthly bill create virtual machine vm instances with sql server and scale out to large multi node configurations when you need them compute engine stores your data on durable block storage disks with automatic redundancy and automatic encryption at rest use these disks to store your sql server data and you don t need to worry about the durability or security of your data for additional performance create your vm instances with a local ssd as a cache that provides additional iops and performance for sql server queries you can create compute engine vm instances that run sql server in the following ways create a vm instance using a sql server image these images include one of several sql server editions that run on windows server you can use these images to run sql server on compute engine and you don t need to obtain your own separate license from microsoft migrate your existing sql server licenses to a windows server vm instance on compute engine and manage those licenses yourself install sql server on a compute engine linux vm for a full list of the available images that include sql server preinstalled see operating system details machine type requirements for sql server images the best machine type for sql server depends on the edition of sql server that you run sql server standard you can run sql server standard on vm instances created with any machine type but shared core machine types don t provide optimal performance google recommends that you use vm instances with at least one vcpu to run sql server standard sql server enterprise vm instances that run sql server enterprise must have at least 4 vcpus for optimal performance google recommends that you run sql server enterprise on vm instances with larger memory capacities depending on your workload you should use highmem predefined machine types with 8 vcpus or more such as for n2 the highmem predefined machine types maximize the ratio of memory to each vcpu that is available on compute engine which is optimal for sql server enterprise vms you can use sql server enterprise on compute engine to create sql server availability groups default components sql server images include several components by default the default components depend on the edition of sql server that you selected for information about the default components included with your version of sql server see editions and supported features of sql server 2019 for information about modifying the sql server components see add features to an instance of sql server before you begin if you haven t already set up authentication authentication verifies your identity for access to google cloud services and apis to run code or samples from a local development environment you can authenticate to compute engine by selecting one of the following options select the tab for how you plan to use the samples on this page console when you use the google cloud console to access google cloud services and apis you don t need to set up authentication gcloud install the google cloud cli after installation initialize the google cloud cli by running the following command gcloud init if you re using an external identity provider idp you must first sign in to the gcloud cli with your federated identity note if you installed the gcloud cli previously make sure you have the latest version by running gcloud components update set a default region and zone terraform to use the terraform samples on this page in a local development environment install and initialize the gcloud cli and then set up application default credentials with your user credentials 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 if you re using a local shell then create local authentication credentials for your user account gcloud auth application default login you don t need to do this if you re using cloud shell if an authentication error is returned and you are using an external identity provider idp confirm that you have signed in to the gcloud cli with your federated identity for more information see set up authentication for a local development environment rest to use the rest api samples on this page in a local development environment you use the credentials you provide to the gcloud cli 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 for more information see authenticate for using rest in the google cloud authentication documentation create a sql server instance to create a sql server instance specify the image family for the specific version of sql server that you need for a list of the sql server image families see operating system details note if you create a sql server instance from a google provided public image then the sql server instance name returned by select servername is preset within the image this preset name doesn t match the hostname of your vm instance to ensure that the sql server instance name matches the hostname of your vm instance update the name after you create the instance for instructions see update sql server instance names for optimal performance database server platforms require machine types with more virtual cpus and larger amounts of memory google recommends that you use machine types with at least 2 vcpus and at least 4 gb of memory when you run sql server instances you can use custom machine types to configure sql server instances to match the performance requirements for your workload you can use larger disks or faster disk types to improve the performance of your applications you must set specific firewall rules to allow sql server traffic on the vpc network or subnet that your vm instance is a part of for more information see best practices for sql server console to create a sql server instance follow these steps in the google cloud console go to the create an instance page go to create an instance specify the vm instance details click the os and storage vertical tab click change and then do the following on the public images tab click the operating system list and then select sql server on windows server in the version list select a version in the boot disk type list select a boot disk type in the size gb field set the boot disk size optional to modify the advanced configuration for the boot disk click show advanced configuration and then specify your settings to save the boot disk configuration click select in the create an instance window click create after you create the vm instance create a firewall rule to allow access to sql server on your instance the default sql server port is 1433 in the google cloud console go to the firewall rules page go to firewall rules at the top of the page click create firewall rule specify the details for this firewall rule in the name field specify a name for the firewall rule in the network field select the vpc network where your sql server instance is located for the direction of traffic select ingress in the targets field choose the targets for the firewall rule which can be all instances or specified target tags or service accounts for example you can select the option all instances in the network if you configured a tag or service account for your sql server instance then you can limit the firewall rule to the specific tag or service account in source filter field select the range of ips that you want to allow access on this port for an ingress rule you can select source ipv4 ranges source ipv6 ranges source tags or service accounts use the fields after source filter to supply addition...
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