LFS264: lab1, step 5, APEX setup command fails

Answers

• akapadia Posts: 20

  December 2018

  Taking a look

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• vmuthukrishnan Posts: 1

  December 2018

  # This issue is related to openstack controller and compute node memory allocation
  # The default ones are not enough, here is the error logs from attached files
  #
  # 2018-12-10 18:10:31,496 WARNING: RAM per controller is too low.  nosdn requires at least 10GB per controller.
  # 2018-12-10 18:10:31,496 INFO: Increasing RAM per controller to 10GB 
  #
  # Clean OPNFV
  opnfv-clean
  
  # Make sure to increase your GCP instance CPU and memory
  # Here is the command to increase CPU = 8 (vCPU) & memory = 16 GB   
  nohup opnfv-deploy -v --debug -n network_settings.yaml -d os-nosdn-nofeature-noha.yaml --virtual-default-ram 16 --virtual-cpus 8 &
  
  
  # Kindly note, before starting the above deployment command one need to update the under cloud YUM repository
  # It is a know issue in OPNFV Euphrates release (https://jira.opnfv.org/browse/APEX-565)
  # Execute the below script, otherwise follow the JIRA ticket workaround to update under cloud YUM repository
  
  sudo -i
  cd /opnfv 
  nohup ./update_undercloud_yumrepo.sh &
  
  # Wait for the above script to get completed and then start OPNFV deployment using the above command
  

  Let us know, if you face any further issues.

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• eddgest Posts: 5

  December 2018

  Hi,
  thanks for looking into this, but it is still happening.
  Find the terminal log attached.
  regards
  Gereon

  LFS264_apex-error2.txt 19K

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• etodtod Posts: 2

  January 2019

  Hello,

  I have the same issue with error:

  2019-01-11 10:34:03,103 ERROR: Ansible playbook failed. See Ansible logs for details.
  Traceback (most recent call last):
  File "/bin/opnfv-deploy", line 10, in
  sys.exit(main())
  File "/usr/lib/python3.4/site-packages/apex/deploy.py", line 339, in main
  APEX_TEMP_DIR)
  File "/usr/lib/python3.4/site-packages/apex/undercloud/undercloud.py", line 126, in configure
  user='stack')
  File "/usr/lib/python3.4/site-packages/apex/common/utils.py", line 131, in run_ansible
  raise Exception(e)
  Exception: Ansible playbook failed. See Ansible logs for details.

  I try using the suggested workaround from vmuthukrishnan, but I got the same error.

  Attached:

  • konsole-output-2019.01.11 => console commands I executed
  • nohup-2019.01.11 => printouts from opnfv-deploy -v --debug -n network_settings.yaml -d os-nosdn-nofeature-noha.yaml --virtual-default-ram 16 --virtual-cpus 8
  • apex_deploy-2019.01.11

  Please help us to fix this issue and be able to proceed with the Labs.

  Best regards,
  Todor

  konsole-output-2019.01.11.txt 16.2K

  apex_deploy-2019.01.11.log 64.5K

  nohup.out-2019.01.11.txt 66.1K

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• SriramRupanagunta Posts: 3

  January 2019

  Hi,

  It appears that you do not have enough vCPUs on the GCP instance to start OPNFV deployment.

  [email protected]:~$ gcloud compute instances create opnfv-instance-00 --zone=us-central1-f \

  --custom-cpu=8 --custom-memory=52GB --min-cpu-platform="Intel Haswell" \
  --image=aarna-opnfv-euphrates-51-pub-05012018-00 --image-project=onap-177920 \
  --boot-disk-type "pd-standard" --boot-disk-size=300GB

  opnfv-deploy -v --debug -n network_settings.yaml -d os-nosdn-nofeature-noha.yaml --virtual-default-ram 16 --virtual-cpus 8

  Your GCP instance has 8 vCPU's, and the OPNFV deployment also uses 8 vCPUs, which will not be sufficient.

  Please create GCP instance with 32 vCPUs (this is what we recommend).

  Hope that helps.

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• etodtod Posts: 2

  January 2019

  Hello,

  Thanks a lot for your replay! I have tried to create a GCP instance with 32 vCPUs, but I got the following error:

  gcloud compute instances create opnfv-instance-00 --zone=us-central1-f --custom-cpu=32 --custom-memory=52GB --min-cpu-platform="Intel Haswell" --image=aarna-opnfv-euphrates-51-pub-05012018-00 --image-project=onap-177920 --boot-disk-type "pd-standard" --boot-disk-size=300GB
  ERROR: (gcloud.compute.instances.create) Could not fetch resource:
  - Quota 'CPUS' exceeded. Limit: 8.0 in region us-central1.

  The problem is that as a free GCP user I have limit of 8 vCPUs for all available zones - see attached screen-shoot.

  Any suggestions how we can execute the Labs using the free GCP Quotas?

  Best regards,
  Todor

  GCP_Quotas.png 156.3K

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• fcioanca Posts: 362

  January 2019

  Unfortunately, the labs cannot be done on a free GCP tier. We actually advise in the course thst some costs are associated with them, due to the complexity of the labs and the environment needed.

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