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    Need guidance on increase quotas under IAM & admin - not able to find us-central1

    Posts: 13
    in LFS263 Class Forum - Discontinued

    Hi there,

    I didn't see us-central1 in IAM & admin. Could you please help me here?

    Best,

    Hale

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    • Posts: 13

      Hi! I have an update regarding this post. When I select ONAP from the project list, then I tried clicking IAM &Admin --> Quotas and got the following failure, how can I fix it?

      Failed to load.

      There was an error while loading /iam-admin/quotas?folder=&organizationId=&project=onap-177920. Please try again.

      Tracking Number: c5508396542099272

    • Posts: 20

      Hi, this seems to be an error from the Google cloud account which is either transient or you do not have the permissions to create (or request for increase) the quota). Can you please check with the support team of Google cloud (GCP)?

      Please make sure you login with the appropriate account (in case you have multiple accounts) which you have provided us for image access. As a test, you can try creating a test VM using your account.

      Your id that was given access is: hdonertasli@gmail.com

      Please let us know if you still find any issue, or you would like the access on a different account.

    • Posts: 13

      Hi SriramRupanagunta , I have only 1 gcloud account that I provıded to you. I see 2 projects and I didn2t create those. I am able to see IAM &Admin --> Quotas for My First Project but not able to see for ONAP.

    • Posts: 31
      edited April 2021

      Hi Haledonertasli .

      The project **onap-177920 ** is owned by us and you only have read only access to the GCP image to create instances. You can execute the below command to check if you have access to the GCP image.

      $ gcloud compute images list --project onap-177920 | grep 'aarna-aio-openstack-train-centos-7-08062020-00'
      aarna-aio-openstack-train-centos-7-08062020-00 onap-177920 READY

      Also, kindly note that you will have to apply the below workarounds for the respective labs.

      Lab/Exercise 4.1

      1. Online students should execute the following commands before starting the openstack deployment at Step(5). This is required to pull AIO patches.
      2.     cd $HOME/onap-custom/setup-utils
      3.     git pull -v
      4.     Continue with the LFS263 documented steps.

      Lab/Exercise 4.4

      1. Online students should execute the following commands before starting the ONAP deployment on the ONAP master node at Step(1). This is required to pull ONAP Dublin release latest patches
      2.  
      3.     cd $HOME/onap-custom/
      4.     git pull -v
      5.     Continue with the LFS263 documented steps.
    • Posts: 13

      Hi vmuthukrishnan ,

      I have access to ONAP image. I am stuck at the IAM &Admin --> Quotas step for 2 weeks now. There is no us-central1 in IAM &Admin --> Quotas as instructed in the lab for both ONAP and My First Project. Is the manual getting updated properly? There is no us-central1 in there, instead I see only Compute Engine API and BigQuery API.

      I thinking changing the quotas needs update in ONAP Lab manual. Please advice.

    • Posts: 31

      HI haledonertasli ,

      Sorry the email notification went to my spam folder and now i fixed it.

      It seems like a quota issue with your Gcloud account. Can you please go to IAM & Admin --> Quota page to verify your CPU, Memory and Disk quota limits.

      If possible we can plan for a meeting tomorrow April/22/2021 between 3:00PM IST and 4:00PM IST. You can send me the Zoom invite to my email vmuthukrishnan@aarnanetworks.com.

      Regards
      Vivek

    • Posts: 31

      You can also consider using the gcloud CLI to find the quot details for your project.

      $ gcloud projects list
      $ gcloud compute project-info describe --project YOUR_TARGET_PROJECT_NAME

    • Posts: 13

      I got this:

      gcloud compute project-info describe --project warm-now-309910
      commonInstanceMetadata:
      fingerprint: I1jwEfrgvoQ=
      kind: compute#metadata
      creationTimestamp: '2021-04-16T06:56:02.510-07:00'
      defaultNetworkTier: PREMIUM
      defaultServiceAccount: 1054562398490-compute@developer.gserviceaccount.com
      id: '4954078533838449053'
      kind: compute#project
      name: warm-now-309910
      quotas:

      • limit: 1000.0
        metric: SNAPSHOTS
        usage: 0.0

      • limit: 5.0
        metric: NETWORKS
        usage: 1.0

      • limit: 100.0
        metric: FIREWALLS
        usage: 5.0

      • limit: 100.0
        metric: IMAGES
        usage: 0.0

      • limit: 8.0
        metric: STATIC_ADDRESSES
        usage: 0.0

      • limit: 200.0
        metric: ROUTES
        usage: 1.0

      • limit: 15.0
        metric: FORWARDING_RULES
        usage: 0.0

      • limit: 50.0
        metric: TARGET_POOLS
        usage: 0.0

      • limit: 50.0
        metric: HEALTH_CHECKS
        usage: 0.0

      • limit: 8.0
        metric: IN_USE_ADDRESSES
        usage: 0.0

      • limit: 50.0
        metric: TARGET_INSTANCES
        usage: 0.0

      • limit: 10.0
        metric: TARGET_HTTP_PROXIES
        usage: 0.0

      • limit: 10.0
        metric: URL_MAPS
        usage: 0.0

      • limit: 5.0
        metric: BACKEND_SERVICES
        usage: 0.0

      • limit: 100.0
        metric: INSTANCE_TEMPLATES
        usage: 0.0

      • limit: 5.0
        metric: TARGET_VPN_GATEWAYS
        usage: 0.0

      • limit: 10.0
        metric: VPN_TUNNELS
        usage: 0.0

      • limit: 3.0
        metric: BACKEND_BUCKETS
        usage: 0.0

      • limit: 10.0
        metric: ROUTERS
        usage: 0.0

      • limit: 10.0
        metric: TARGET_SSL_PROXIES
        usage: 0.0

      • limit: 10.0
        metric: TARGET_HTTPS_PROXIES
        usage: 0.0

      • limit: 10.0
        metric: SSL_CERTIFICATES
        usage: 0.0

      • limit: 100.0
        metric: SUBNETWORKS
        usage: 25.0

      • limit: 10.0
        metric: TARGET_TCP_PROXIES
        usage: 0.0

      • limit: 96.0
        metric: CPUS_ALL_REGIONS
        usage: 0.0

      • limit: 10.0
        metric: SECURITY_POLICIES
        usage: 0.0

      • limit: 100.0
        metric: SECURITY_POLICY_RULES
        usage: 0.0

      • limit: 1000.0
        metric: XPN_SERVICE_PROJECTS
        usage: 0.0

      • limit: 20.0
        metric: PACKET_MIRRORINGS
        usage: 0.0

      • limit: 100.0
        metric: NETWORK_ENDPOINT_GROUPS
        usage: 0.0

      • limit: 6.0
        metric: INTERCONNECTS
        usage: 0.0

      • limit: 5000.0
        metric: GLOBAL_INTERNAL_ADDRESSES
        usage: 0.0

      • limit: 5.0
        metric: VPN_GATEWAYS
        usage: 0.0

      • limit: 100.0
        metric: MACHINE_IMAGES
        usage: 0.0

      • limit: 20.0
        metric: SECURITY_POLICY_CEVAL_RULES
        usage: 0.0

      • limit: 0.0
        metric: GPUS_ALL_REGIONS
        usage: 0.0

      • limit: 5.0
        metric: EXTERNAL_VPN_GATEWAYS
        usage: 0.0

      • limit: 1.0
        metric: PUBLIC_ADVERTISED_PREFIXES
        usage: 0.0

      • limit: 10.0
        metric: PUBLIC_DELEGATED_PREFIXES
        usage: 0.0

      • limit: 128.0
        metric: STATIC_BYOIP_ADDRESSES
        usage: 0.0

      • limit: 15.0
        metric: INTERNAL_TRAFFIC_DIRECTOR_FORWARDING_RULES
        usage: 0.0
        selfLink: https://www.googleapis.com/compute/v1/projects/warm-now-309910
        xpnProjectStatus: UNSPECIFIED_XPN_PROJECT_STATUS

      and I am getting this error

      HALE:~ haleair$ gcloud compute instances create openstack-01 --zone us-central1-f --custom-cpu 32 --custom-memory 72GB --min-cpu-platform "Intel Haswell" --image "https://www.googleapis.com/compute/v1/projects/onap-177920/global/images/aarna-aio-openstack-train-centos-7-08062020-00"
      ERROR: (gcloud.compute.instances.create) Could not fetch resource:
      - Quota 'CPUS' exceeded. Limit: 24.0 in region us-central1.

      But my quota was increased as seen in the picture attached.

    • Posts: 31

      Hi Haledonertasli,

      Looks like you have the quota to create an instance but for some reason it is failing at the gcloud side. Let me look into google forum and come back to you.

      Regards
      Vivek

    • Posts: 20

      Hi, looks like there is a per-region limit of 24 due to which it is not allowing you to start the VM with 32 vcpus. I am not sure if this is specific to this region alone (us-central1) or if there is any other limit that exists (which limits the vcpus to per-region). Can you please try from any other region/zone?

      Following is the link to the list of zones. You can probably pick a zone closest to your geographical location.
      https://cloud.google.com/compute/docs/regions-zones

    • Posts: 20

      You can also try the following command for the per-region limit:
      gcloud compute regions describe

      From GCP documentation:

      Quotas and resource availability
      Resource quotas are the maximum number of resources you can create of that resource type, if those resources are available. Quotas do not guarantee that resources are available at all times. If a resource is not available, or if the region you choose is out of the resource, you can't create new resources of that type, even if you have remaining quota in your region or project. For example, you might still have quota to create external IP addresses in us-central1, but there might not be available IP addresses in that region.

    • Posts: 20

      Sorry, you need to give the region name - for eg.,
      gcloud compute regions describe us-central1

    • Posts: 31

      Hi haledonertasli ,

      Let us try reducing the Openstack CPU & Memory resources to verify if you can create an instance. Please use the below command to create a smaller instance.

      $ gcloud compute instances create openstack-01 --zone us-central1-f --custom-cpu 8 --custom-memory 16GB --min-cpu-platform "Intel Haswell" --image "https://www.googleapis.com/compute/v1/projects/onap-177920/global/images/aarna-aio-openstack-train-centos-7-08062020-00"

      Let us know how it goes ?

      Regards
      Vivek

    • Posts: 13

      vmuthukrishnan, yes it works with the following command but what I must do now? Is it ok to do like this?

      gcloud compute instances create openstack-01 --zone us-central1-f --custom-cpu 8 --custom-memory 16GB --min-cpu-platform "Intel Haswell" --image "https://www.googleapis.com/compute/v1/projects/onap-177920/global/images/aarna-aio-openstack-train-centos-7-08062020-00"
      Created [https://www.googleapis.com/compute/v1/projects/warm-now-309910/zones/us-central1-f/instances/openstack-01].
      NAME ZONE MACHINE_TYPE PREEMPTIBLE INTERNAL_IP EXTERNAL_IP STATUS
      openstack-01 us-central1-f custom-8-16384 10.128.0.2 35.224.84.132 RUNNING

    • Posts: 13

      SriramRupanagunta , here is the output, what should I do now?

      HALE:~ haleair$ gcloud compute regions describe us-central1
      creationTimestamp: '1969-12-31T16:00:00.000-08:00'
      description: us-central1
      id: '1000'
      kind: compute#region
      name: us-central1
      quotas:

      • limit: 24.0
        metric: CPUS
        usage: 0.0

      • limit: 4096.0
        metric: DISKS_TOTAL_GB
        usage: 0.0

      • limit: 8.0
        metric: STATIC_ADDRESSES
        usage: 0.0

      • limit: 8.0
        metric: IN_USE_ADDRESSES
        usage: 0.0

      • limit: 500.0
        metric: SSD_TOTAL_GB
        usage: 0.0

      • limit: 6000.0
        metric: LOCAL_SSD_TOTAL_GB
        usage: 0.0

      • limit: 100.0
        metric: INSTANCE_GROUPS
        usage: 0.0

      • limit: 50.0
        metric: INSTANCE_GROUP_MANAGERS
        usage: 0.0

      • limit: 24.0
        metric: INSTANCES
        usage: 0.0

      • limit: 50.0
        metric: AUTOSCALERS
        usage: 0.0

      • limit: 20.0
        metric: REGIONAL_AUTOSCALERS
        usage: 0.0

      • limit: 20.0
        metric: REGIONAL_INSTANCE_GROUP_MANAGERS
        usage: 0.0

      • limit: 0.0
        metric: PREEMPTIBLE_CPUS
        usage: 0.0

      • limit: 1.0
        metric: NVIDIA_K80_GPUS
        usage: 0.0

      • limit: 0.0
        metric: COMMITTED_CPUS
        usage: 0.0

      • limit: 0.0
        metric: COMMITTED_LOCAL_SSD_TOTAL_GB
        usage: 0.0

      • limit: 0.0
        metric: COMMITMENTS
        usage: 0.0

      • limit: 100.0
        metric: NETWORK_ENDPOINT_GROUPS
        usage: 0.0

      • limit: 200.0
        metric: INTERNAL_ADDRESSES
        usage: 0.0

      • limit: 1.0
        metric: NVIDIA_P100_GPUS
        usage: 0.0

      • limit: 0.0
        metric: PREEMPTIBLE_LOCAL_SSD_GB
        usage: 0.0

      • limit: 1.0
        metric: PREEMPTIBLE_NVIDIA_K80_GPUS
        usage: 0.0

      • limit: 1.0
        metric: PREEMPTIBLE_NVIDIA_P100_GPUS
        usage: 0.0

      • limit: 1.0
        metric: NVIDIA_P100_VWS_GPUS
        usage: 0.0

      • limit: 1.0
        metric: NVIDIA_V100_GPUS
        usage: 0.0

      • limit: 1.0
        metric: NVIDIA_P4_GPUS
        usage: 0.0

      • limit: 1.0
        metric: NVIDIA_P4_VWS_GPUS
        usage: 0.0

      • limit: 100.0
        metric: NODE_GROUPS
        usage: 0.0

      • limit: 100.0
        metric: NODE_TEMPLATES
        usage: 0.0

      • limit: 1.0
        metric: PREEMPTIBLE_NVIDIA_V100_GPUS
        usage: 0.0

      • limit: 1.0
        metric: PREEMPTIBLE_NVIDIA_P4_GPUS
        usage: 0.0

      • limit: 1.0
        metric: PREEMPTIBLE_NVIDIA_P100_VWS_GPUS
        usage: 0.0

      • limit: 1.0
        metric: PREEMPTIBLE_NVIDIA_P4_VWS_GPUS
        usage: 0.0

      • limit: 16.0
        metric: INTERCONNECT_ATTACHMENTS_PER_REGION
        usage: 0.0

      • limit: 80000.0
        metric: INTERCONNECT_ATTACHMENTS_TOTAL_MBPS
        usage: 0.0

      • limit: 5.0
        metric: RESOURCE_POLICIES
        usage: 0.0

      • limit: 20.0
        metric: IN_USE_SNAPSHOT_SCHEDULES
        usage: 0.0

      • limit: 1.0
        metric: NVIDIA_T4_GPUS
        usage: 0.0

      • limit: 1.0
        metric: NVIDIA_T4_VWS_GPUS
        usage: 0.0

      • limit: 1.0
        metric: PREEMPTIBLE_NVIDIA_T4_GPUS
        usage: 0.0

      • limit: 1.0
        metric: PREEMPTIBLE_NVIDIA_T4_VWS_GPUS
        usage: 0.0

      • limit: 20.0
        metric: IN_USE_BACKUP_SCHEDULES
        usage: 0.0

      • limit: 10.0
        metric: PUBLIC_DELEGATED_PREFIXES
        usage: 0.0

      • limit: 0.0
        metric: COMMITTED_NVIDIA_K80_GPUS
        usage: 0.0

      • limit: 0.0
        metric: COMMITTED_NVIDIA_P100_GPUS
        usage: 0.0

      • limit: 0.0
        metric: COMMITTED_NVIDIA_P4_GPUS
        usage: 0.0

      • limit: 0.0
        metric: COMMITTED_NVIDIA_V100_GPUS
        usage: 0.0

      • limit: 0.0
        metric: COMMITTED_NVIDIA_T4_GPUS
        usage: 0.0

      • limit: 8.0
        metric: C2_CPUS
        usage: 0.0

      • limit: 8.0
        metric: N2_CPUS
        usage: 0.0

      • limit: 0.0
        metric: COMMITTED_N2_CPUS
        usage: 0.0

      • limit: 0.0
        metric: COMMITTED_C2_CPUS
        usage: 0.0

      • limit: 100.0
        metric: RESERVATIONS
        usage: 0.0

      • limit: 0.0
        metric: COMMITTED_LICENSES
        usage: 0.0

      • limit: 8.0
        metric: N2D_CPUS
        usage: 0.0

      • limit: 0.0
        metric: COMMITTED_N2D_CPUS
        usage: 0.0

      • limit: 128.0
        metric: STATIC_BYOIP_ADDRESSES
        usage: 0.0

      • limit: 0.0
        metric: AFFINITY_GROUPS
        usage: 0.0

      • limit: 0.0
        metric: NVIDIA_A100_GPUS
        usage: 0.0

      • limit: 0.0
        metric: PREEMPTIBLE_NVIDIA_A100_GPUS
        usage: 0.0

      • limit: 0.0
        metric: COMMITTED_NVIDIA_A100_GPUS
        usage: 0.0

      • limit: 0.0
        metric: M1_CPUS
        usage: 0.0

      • limit: 0.0
        metric: M2_CPUS
        usage: 0.0

      • limit: 0.0
        metric: A2_CPUS
        usage: 0.0

      • limit: 0.0
        metric: COMMITTED_A2_CPUS
        usage: 0.0

      • limit: 0.0
        metric: COMMITTED_MEMORY_OPTIMIZED_CPUS
        usage: 0.0

      • limit: 15.0
        metric: EXTERNAL_NETWORK_LB_FORWARDING_RULES
        usage: 0.0

      • limit: 15.0
        metric: EXTERNAL_PROTOCOL_FORWARDING_RULES
        usage: 0.0
        selfLink: https://www.googleapis.com/compute/v1/projects/warm-now-309910/regions/us-central1
        status: UP
        supportsPzs: false
        zones:

      • https://www.googleapis.com/compute/v1/projects/warm-now-309910/zones/us-central1-a

      • https://www.googleapis.com/compute/v1/projects/warm-now-309910/zones/us-central1-b
      • https://www.googleapis.com/compute/v1/projects/warm-now-309910/zones/us-central1-c
      • https://www.googleapis.com/compute/v1/projects/warm-now-309910/zones/us-central1-f
        HALE:~ haleair$
    • Posts: 31

      Hi haledonertasli ,

      Good. This seems to suggest that you do not enough CPU quota to bring up a larger instance. You may want to contact your IT team otherwise you can request Google cloud to increase the CPU & Memory quota for the given region.

      I guess it should help you.

      Regards
      Vivek

    • Posts: 20

      @haledonertasli said:
      SriramRupanagunta , here is the output, what should I do now?

      HALE:~ haleair$ gcloud compute regions describe us-central1
      creationTimestamp: '1969-12-31T16:00:00.000-08:00'
      description: us-central1
      id: '1000'
      kind: compute#region
      name: us-central1
      quotas:

      > - limit: 24.0

      metric: CPUS
      usage: 0.0

      This confirms that in us-central1, you can only allocate 24 cpus.

      So, you seem to have sufficient resources across all regions, but less resources in a single region. You need to ask them to increase them per-region, since you need one large instance in a single region.

      As Vivek suggested, can you please contact GCP support, and request them to increase the quota "per region"?

      You do need a large instance as documented, since some of the lab exercises will fail with less resources.

    • Posts: 13

      OK. This problem is resolved. Thank you!

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