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Text of the page (random words):
le 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 using autohealing for highly available apps stay organized with collections save and categorize content based on your preferences this interactive tutorial shows how to use autohealing to build highly available apps on compute engine highly available apps are designed to serve clients with minimal latency and downtime availability is compromised when an app crashes or freezes clients of a compromised app can experience high latency or downtime autohealing lets you automatically restart apps that are compromised it promptly detects failed virtual machine vm instances and recreates them automatically so clients can be served again with autohealing you no longer need to manually bring an app back to service after a failure objectives configure a health check and an autohealing policy set up a demo web service on a managed instance group mig simulate health check failures and witness the autohealing recovery process costs this tutorial uses billable components of google cloud including compute engine before you begin 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 if you prefer to work from the command line install the google cloud 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 to initialize the gcloud cli run the following command gcloud init note you can run the gcloud cli in the google cloud console without installing the google cloud cli to run the gcloud cli in the google cloud console use cloud shell app architecture the app includes the following compute engine components health check an http health check policy used by the autohealer to detect failed vm firewall rules google cloud firewall rules let you allow or deny traffic to your vms managed instance group a group of vms running the same demo web service instance template a template used to create each vm in the instance group how the health check probes the demo webservice a health check sends probe requests to a vm using a specified protocol such as http s ssl or tcp for more information see how health checks work and health check categories protocols and ports the health check in this tutorial is an http health check that probes the http path health on port 80 for an http health check the probe request passes only if the path returns an http 200 ok response for this tutorial the demo web server defines the path health to return an http 200 ok response when healthy or an http 500 internal server error response when unhealthy for more information see success criteria for http https and http 2 create the health check to set up autohealing create a custom health check and configure the network firewall to allow health check probes in this tutorial you create a regional health check for autohealing you can use either a regional or a global health check regional health checks reduce cross region dependencies and help to achieve data residency global health checks are convenient if you want to use the same health check for migs in multiple regions pro tip use separate health checks for load balancing and for autohealing health checks for load balancing detect unresponsive vms and direct traffic away from them health checks for autohealing detect and recreate failed vms so they should be less aggressive than load balancing health checks using the same health check for these services would remove the distinction between unresponsive vms and failed vms causing unnecessary latency and unavailability for your users for more information see what makes a good autohealing health check console create a health check in the google cloud console go to the create health check page go to create health check in the name field enter autohealer check set the scope to regional in the region drop down select europe west1 for protocol select http set request path to health this indicates what http path the health check uses for this tutorial the demo web server defines the path health to return either an http 200 ok response when healthy or an http 500 internal server error response when unhealthy set the health criteria set check interval to 10 this defines the amount of time from the start of one probe to the start of the next one set timeout to 5 this defines the amount of time that google cloud waits for a response to a probe this value must be less than or equal to the check interval set healthy threshold to 2 this defines the number of sequential probes that must succeed for the vm to be considered healthy set unhealthy threshold to 3 this defines the number of sequential probes that must fail for the vm to be considered unhealthy leave default values for the other options click create at the bottom create a firewall rule to allow health check probes to make http requests in the google cloud console go to the create firewall rule page go to create firewall rule for name enter default allow http health check for network select default for targets select all instances in the network for source filter select ipv4 ranges for source ipv4 ranges enter 130 211 0 0 22 35 191 0 0 16 note health check probes come from addresses in the ranges 130 211 0 0 22 and 35 191 0 0 16 for this tutorial your health check uses the http protocol so make sure the firewall rule allows connections to port 80 for more information see setting up health checking and autohealing for managed instance groups in protocols and ports select tcp and enter 80 leave default values for the other options click create gcloud create a health check using the health checks create http command gcloud compute health checks create http autohealer check region europe west1 check interval 10 timeout 5 healthy threshold 2 unhealthy threshold 3 request path health check interval defines the amount of time from the start of one probe to the start of the next one timeout defines the amount of time that google cloud waits for a response to a probe this value must be less than or equal to the check interval he...
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