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description= Learn how you configure VMs in a managed instance group (MIG) and methods to apply new configurations to existing VMs in the group.;
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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 apply new vm configurations in a mig stay organized with collections save and categorize content based on your preferences this page explains how you can configure the virtual machine vm instances in a managed instance group mig and the methods you can use to apply the configuration to existing vms in the group you specify the intended configuration for the vms in a mig by using the following vm configuration components required instance template optional all instances configuration optional stateful configuration whenever you update the intended configuration by using those components compute engine automatically applies your updated configuration to new vms that are added to the group to apply an updated configuration to existing vms use the methods described on this page automatic rollouts with a disruption budget and optional canary updates of new templates selective manual updates to specific vms only to minimize disruption re creation of specific vms you can also configure your mig to apply the latest available configuration to vms during vm repairs for more information see apply configuration updates during repairs if you only need to resize a mig see the documentation for how to add or remove vms in a mig if you want to learn about configuring mig features see the docs for autoscaling autohealing load balancing and stateful workloads 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 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 configuration components for vms in a mig you configure the vms in a mig through the following components component properties use case instance template machine type boot disk image labels startup script network interfaces and other vm properties required use an instance template to define required and optional instance properties for all vms in the group optional if you want to canary test a second vm configuration you can add a second instance template to the group and apply it to a subset of the vms in the group all instances configuration labels and metadata optional use an all instances configuration to quickly override instance template properties for all vms in the group stateful configuration stateful disks ip addresses and metadata optional if you need to support a stateful workload add stateful configuration to vms in the group if you update any configuration for the group through those components you must apply the updated configuration to existing vms in the group in order to make the updated configuration effective methods to apply a new configuration to existing vms after you update a mig s vm configuration you can apply the new configuration to existing vms in the group by using the following methods automatic proactive use this method if you want the mig to automatically apply new configurations to all or to a subset of existing vms in the group the level of disruption to running vms depends on the update policy that you configure you can use this method to canary update new instance templates to use this method set the mig s update type to proactive selective opportunistic use this method if you want to apply the update manually or if you want to update all existing vms in the group at once you target any or all vms to be updated to the latest configuration to use this method set the mig s update type to opportunistic re creation of vms apply new configurations by re creating specific vms for more information about setting a mig s update type see set up a proactive or an opportunistic update automatic proactive an automatic update type is also known as a proactive update type when you set the mig s update type to proactive the mig automatically applies updated configurations to vms as necessary setting the mig s update type to proactive offers two primary advantages the rollout of an update happens automatically to your specifications without the need for additional input after the initial request you can specify the speed of deployment the level of disruption to your service and the scope of the update you can automate partial rollouts which allows for canary testing to learn how to set the mig s update type see set up a proactive or an opportunistic update for more information about automatic rollouts see automatically apply vm configuration updates in a mig selective opportunistic a selective update type is also known as an opportunistic update type when you set the mig s update type to opportunistic the mig applies new configurations to existing vms only when you selectively target specific vms to be updated setting the mig s update type to opportunistic offers the following advantages you can select the vms that you want to update you can control the timing and the sequence of the updates you can use the gcloud cli or rest to update all instances immediately in certain scenarios a selective update type is useful because you don t want to cause instability to the system if it can be avoided for example consider the following ...
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