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lancer 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 renew commitments automatically stay organized with collections save and categorize content based on your preferences if you have workloads with predictable resource requirements you can lower your costs through resource based committed use discounts cuds you can receive resource based cuds by purchasing resource based commitments for a term of either 1 or 3 years by default resource based commitments expire at the end of their term after a commitment s expiry you must purchase a new commitment to continue receiving cuds auto renewal of your resource based commitment removes the need for you to manually repurchase the commitment every time it expires auto renewal of a commitment lets you indefinitely extend an existing commitment and continue receiving cuds for those committed resources this document explains how auto renewal works and shows you how to enable and disable the auto renewal setting on your commitments how auto renewal works when you enable auto renewal on a resource based commitment each time your commitment reaches the end of its term compute engine automatically renews that commitment for a new term after you enable auto renewal on a commitment the setting remains enabled until you manually disable it you must enable auto renewal separately on each commitment that you want to automatically renew in a project you can enable auto renewal on both new and existing commitments as follows for new commitments when you purchase a commitment you have the option to specify whether you want the commitment to renew automatically for existing commitments that are active and don t have auto renewal enabled you can modify the commitment s properties and enable auto renewal you can t enable auto renewal for expired commitments after you enable auto renewal on a commitment the end date and time of your commitment s ongoing term become the renewal date and time all other properties of your commitment remain the same at 12 am us and canadian pacific time utc 8 or utc 7 during daylight saving time on the renewal date your commitment s renewed term automatically begins for example suppose the end time of your commitment s ongoing term is 12 00 am us and canadian pacific time on january 1 2026 if auto renewal is enabled then a new term automatically begins at 12 00 am us and canadian pacific time on january 1 2026 the renewed term length of an automatically renewing commitment always matches the preset term length defined by the commitment s plan which is either 1 year or 3 years you also receive the same discount percentage even if your commitment has a custom term length compute engine renews your commitment only for its preset term length of either 1 or 3 years auto renewal of a custom term commitment won t be for another term of that custom length for examples see the following a commitment with a custom term of 1 5 years will renew only for 1 additional year a commitment with a custom term of 5 5 years will renew only for 3 additional years if you want a custom term commitment to stay active for a longer time period than the renewed term then you can request for another term extension after its renewal your term extension eligibility window also gets refreshed at the start of your renewed term for a 1 year commitment the eligibility window during the renewed term remains open for up to 4 months after the renewal for 3 year commitments this window remains open for up to 1 year after the renewal at the end of the renewed term compute engine again renews your commitment for a new term unless you manually disable auto renewal during the commitment s term you can enable auto renewal on your commitment anytime before the commitment is set to expire likewise you can disable auto renewal on your commitment anytime before its renewal date for example if you have a 1 year commitment that is set to expire at 12 am utc 8 on january 1 2024 then you can enable auto renewal on that commitment anytime before 12 am utc 8 on january 1 2024 after you enable auto renewal your commitment automatically renews for an additional year at 12 am utc 8 on january 1 2024 if you then want to disable auto renewal then you can do so anytime before 12 am utc 8 on january 1 2025 by activating auto renewal on a commitment you agree to the following you have your commitment automatically renewed for a new term at the end of its ongoing term you continue paying for your committed resources over the new term example of auto renewal consider an example 1 year commitment my commitment 1 that doesn t renew automatically suppose you purchase this commitment on january 1 2020 for 100 n2 vcpus the term of your commitment is scheduled to end on january 1 2021 suppose you perform the following series of operations on this commitment you enable auto renewal on this commitment before its end date after the commitment s term gets renewed twice you disable auto renewal on the commitment and let your commitment expire on its new end date the following table shows how the commitment s properties behave throughout the lifetime of this commitment original term before enabling auto renewal original term after enabling auto renewal first automatically renewed term auto renewal remains enabled second automatically renewed term before disabling auto renewal second automatically renewed term after d...
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