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or 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 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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 a virtual linux workstation stay organized with collections save and categorize content based on your preferences this tutorial shows how to create a virtual linux workstation running ubuntu 22 04 with a virtual display a virtual display device is useful when applications on your virtual machine vm instances require a display device but don t require the full power or cost of a gpu for information about other types of virtual workstations including windows see about creating a virtual workstation note this solution is not suitable for graphically intensive applications that require hardware graphics acceleration for information about the types of virtual workstations that you can create on google cloud see creating a virtual workstation after you create the virtual workstation you learn how to remotely access it using hp anyware formerly teradici cas using pc over ip pcoip technology a remote desktop protocol widely used in the media and entertainment game development architecture and engineering industries pcoip offers features essential to these types of workloads such as color accuracy support for multiple monitors lossless display and tablet pressure sensitivity this tutorial assumes you are familiar with the linux command line objectives create a compute engine vm this vm serves as the foundation for a virtual workstation install hp anyware software on the virtual workstation connect to the virtual workstation using a pcoip software client note this tutorial does not include advanced security features such as fine grained ssh key management certificate issuance or multi factor authentication mfa a full deployment requires a connection broker and domain controller which help enable a stronger security profile for connecting to virtual workstations costs this tutorial uses the following billable components of google cloud compute engine you can use the pricing calculator to generate a cost estimate based on your projected usage the resources that make up the virtual workstation and the factors that affect cost in this tutorial are 4 vcpus 16 gb ram e2 standard machine type 20 gb ssd balanced boot disk internet outbound data transfer costs internet data transfer represents data that streams from your virtual workstation to your local display client and is billed at internet outbound data transfer costs variables that affect data transfer during a pcoip session are bandwidth screen resolution number of display monitors applications used and the type of activity on each monitor the hp anyware session planning guide can help you understand different workload requirements note costs differ depending on region and connection method these estimated costs are based on connection over the public internet with resources located in the us central1 region iowa before you begin this tutorial uses the google cloud cli which you can run from a cloud shell instance launched from the google cloud console if you want to use gcloud cli on your local workstation install the google cloud cli the tutorial shows you how to run commands in cloud shell if you use the gcloud cli on your workstation adjust the instructions accordingly 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 enable the compute engine api roles required to enable apis to enable apis you need the serviceusage services enable permission if you created the project then you likely already have this permission through the owner role roles owner otherwise you can get this permission through the service usage admin role roles serviceusage serviceusageadmin learn how to grant roles enable the api 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 enable the compute engine api roles required to enable apis to enable apis you need the serviceusage services enable permission if you created the project then you likely already have this permission through the owner role roles owner otherwise you can get this permission through the service usage admin role roles serviceusage serviceusageadmin learn how to grant roles enable the api in addition make sure you have the following a google chrome browser to access the google cloud console the latest pcoip client software for windows mac or linux to access the virtual workstation an account on help teradici com to download the hp anyware software account registration is free an hp anyware software license you can request a trial license or contact your hp representative and ask for a trial registration code to use for this virtual workstation architecture the following diagram shows the components that are used in this tutorial to deploy a single virtual workstation optional components shown in the diagram include different ways to connect to your virtual workstation shared storage an additional vm for serving third party licenses and additional infrastructure representing a render or compute farm choose a region an important factor when you deploy a virtual workstation is the latency between your location and the vm you create the lower the latency the better the experience therefore you want to place your vm in a region and zone that s geographically closest to you create the virtual workstation in cloud shell create the compute engine virtual workstation instance gcloud compute instances create vm_name zone zone machine type e2 standard 4 enable display device image project ubuntu os cloud image family ubuntu 2204 lts boot disk size 20 boot disk type pd balanced network default replace the following vm_name a name for your vm instance zone the zone that s geographically closest to you an important factor when you deploy a virtual workstation is the latency between your location and the vm you create the lower the latency the better the experience for information about the geographical location of zones see available regions and zones after the virtual workstation is created the vm status is displayed the output looks similar to the following name test workstation zone us west1 b machine_type e2 standard 4 preemptible internal_ip 10 138 xx xxx external_ip xx xxx xxx xxx status running note the external ip address you need it later in the tutorial sign in to your virtual workstation after you create the virtual workstation you sign in to the machine so that you can configure it connect to the virtual workstation using the following command gcloud compute ssh vm_name set your account password logging into a virtual workstation using the pcoip software client requires a user password sudo passwd whoami when you re prompted enter a password you will use this password later in the tutorial to log on...
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