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GCP instance cannot parse fastai resource


Unable to connect Google Compute Engine instance via SSH in browserGCP Load Balancer - Instance Failing - Debug?Cannot reach/stop instancehow to delete group instance in GCPGCP Managed Instance verificationCannot ssh to ubuntu gcp instanceIP Transit Using GCP compute instance?Can't delete instance group in GCPUnable to access MongoDB installed on a GCE VM from client desktopMongo DB on Google Cloud VM






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0















Trying to connect to a Jupyter Notebook in the instance through the shell, however it throws an error message informing that "the resource" could not be parsed.



1



This is a Windows server with an Ubuntu terminal, running fastai. The Notebook is already installed and set up, and I already increased my GPU quota to 1.



Interestingly enough, the error comes up regardless of whether the instance is running or not.










share|improve this question




























    0















    Trying to connect to a Jupyter Notebook in the instance through the shell, however it throws an error message informing that "the resource" could not be parsed.



    1



    This is a Windows server with an Ubuntu terminal, running fastai. The Notebook is already installed and set up, and I already increased my GPU quota to 1.



    Interestingly enough, the error comes up regardless of whether the instance is running or not.










    share|improve this question
























      0












      0








      0








      Trying to connect to a Jupyter Notebook in the instance through the shell, however it throws an error message informing that "the resource" could not be parsed.



      1



      This is a Windows server with an Ubuntu terminal, running fastai. The Notebook is already installed and set up, and I already increased my GPU quota to 1.



      Interestingly enough, the error comes up regardless of whether the instance is running or not.










      share|improve this question














      Trying to connect to a Jupyter Notebook in the instance through the shell, however it throws an error message informing that "the resource" could not be parsed.



      1



      This is a Windows server with an Ubuntu terminal, running fastai. The Notebook is already installed and set up, and I already increased my GPU quota to 1.



      Interestingly enough, the error comes up regardless of whether the instance is running or not.







      google-compute-engine






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Jun 5 at 15:41









      andrade117andrade117

      1




      1




















          1 Answer
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          0














          In my opinion maybe you need to explicitly specify the project name where the instance is located. Execute:



           $ gcloud config set project your_project_id


          Also you have to make sure that you are logged in with the right account. Execute:



          $ gcloud auth login


          And finally to be sure that you are using the right command, go to Cloud Console, locate your instance and click on the drop down menu saying "SSH", select "View gcloud command" and use this to do the connection.






          share|improve this answer

























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            1 Answer
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            1 Answer
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            0














            In my opinion maybe you need to explicitly specify the project name where the instance is located. Execute:



             $ gcloud config set project your_project_id


            Also you have to make sure that you are logged in with the right account. Execute:



            $ gcloud auth login


            And finally to be sure that you are using the right command, go to Cloud Console, locate your instance and click on the drop down menu saying "SSH", select "View gcloud command" and use this to do the connection.






            share|improve this answer



























              0














              In my opinion maybe you need to explicitly specify the project name where the instance is located. Execute:



               $ gcloud config set project your_project_id


              Also you have to make sure that you are logged in with the right account. Execute:



              $ gcloud auth login


              And finally to be sure that you are using the right command, go to Cloud Console, locate your instance and click on the drop down menu saying "SSH", select "View gcloud command" and use this to do the connection.






              share|improve this answer

























                0












                0








                0







                In my opinion maybe you need to explicitly specify the project name where the instance is located. Execute:



                 $ gcloud config set project your_project_id


                Also you have to make sure that you are logged in with the right account. Execute:



                $ gcloud auth login


                And finally to be sure that you are using the right command, go to Cloud Console, locate your instance and click on the drop down menu saying "SSH", select "View gcloud command" and use this to do the connection.






                share|improve this answer













                In my opinion maybe you need to explicitly specify the project name where the instance is located. Execute:



                 $ gcloud config set project your_project_id


                Also you have to make sure that you are logged in with the right account. Execute:



                $ gcloud auth login


                And finally to be sure that you are using the right command, go to Cloud Console, locate your instance and click on the drop down menu saying "SSH", select "View gcloud command" and use this to do the connection.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Jun 6 at 9:32









                Alex6ZamAlex6Zam

                112




                112



























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