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description= Use SSH to connect to Linux VM instances external IP addresses through the Google Cloud CLI and the Google Cloud console.;
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ry 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 connect to linux vms stay organized with collections save and categorize content based on your preferences linux this document describes how to connect to linux virtual machine vm instances that have external ip addresses by using ssh keys to learn how to connect to vms that don t have external ip addresses see connection options for internal only vms to learn how to connect to linux vms using ssh certificates see require ssh certificates for os login vms for information about how ssh connections work in compute engine including ssh key configuration and storage see ssh connections to linux vms note when a user connects to a vm that user can use all of the iam permissions granted to the service account attached to the vm 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 supported operating systems these connection methods are supported for all public linux images that are available on compute engine for fedora coreos images you must set up ssh access before you can use these methods connect to vms to connect to a vm complete the steps in one of the following tabs console connect to vms using ssh in browser from the google cloud console by doing the following in the google cloud console go to the vm instances page go to vm instances in the list of virtual machine instances click ssh in the row of the instance that you want to connect to note when you connect to vms using the google cloud console compute engine creates an ephemeral ssh key for you for more information about ssh keys see ssh connections to linux vms gcloud connect to a vm using ssh by running the gcloud compute ssh command 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 following command gcloud compute ssh project project_id zone zone vm_name replace the following project_id the id of the project that contains the vm zone the name of the zone that the vm is located in vm_name the name of the vm if you have set default properties for the google cloud cli you can omit the project and zone flags from this command for example gcloud compute ssh vm_name note when you connect to vms using the gcloud cli compute engine creates a persistent ssh key for you for more information about ssh keys see ssh connections to linux vms openssh client connect to a vm using ssh from an openssh client do the following add an ssh key to the vm if you haven t already in the google cloud console go to the vm instances page and find the external ip address of the vm that you want to connect to go to vm instances open a terminal on your workstation connect to the vm by running the following command ssh i path_to_private_key username external_ip replace the following path_to_private_key the path to the private ssh key file that corresponds to the public key you added to the vm username your username if you manage your ssh keys in metadata the username is what you specified when you created the ssh key for os login accounts the username is defined in your google profile for example cloudysanfrancisco_example_com or cloudysanfrancisco external_ip the external ip address of the vm putty app connect to a vm using ssh from the windows putty app by doing the following add an ssh key to the vm if you haven t already if your workstation doesn t already have the putty app installed download the putty package files in the google cloud console go to the vm instances page and find the external ip address of the vm that you want to connect to go to vm instances open the putty app a connection configuration window opens in the host name field enter the username associated with the ssh key and the external ip address of the vm that you want to connect to use the following format username external_ip replace the following username your username if you manage your ssh keys in metadata the username is what you specified when you created the ssh key for os login accounts the username is defined in your google profile for example cloudysanfrancisco_example_com or cloudysanfrancisco external_ip the external ip address of the vm in the category menu navigate to connection ssh auth in the private key file for authentication field select the private ssh key file that corresponds to the public key you added to the vm click open to connect to the vm secure shell chrome app to connect to a vm using ssh from the secure shell chrome app do the following add an ssh key to the vm if you haven t already install secure shell on your chromebook or chrome browser if you have not done so already in the google cloud console go to the vm instances page and find the external ip address of the vm that you want to connect to go to vm instances open the secure shell in a chrome browser tab address bar by doing the following type ssh press space press enter click new connection in the username field enter ...
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