This morning I logged into my pc and attempted to access remotely into a VM I have. No connection was the reported error. I log into my cloud console to find no projects.
Google Support is not available for me, as I have bronze package and I do not have 150$ available to upgrade it.
Are there any logs that could explain what happened? Did it just get wiped out? The instance is still there. But the machine itself is gone. I can't find any records of it. Please advise any help you can.
I believe your question also confuses others, what do you mean by "The instance is still there. But the machine itself is gone"?
Because you also mentioned "I log into my cloud console to find no projects. ", which means you should see nothing before you choose a valid project
Please be more specific about your questions
Could you indicate us step by step what you do in the Google Cloud Platform console? Where you click and what you type.
Please, check also the Activity tab on the home page of the console. Once in it, on the right-hand side, select Resource type: GCE VM instance, to see modifications in VMs.
We need to know exactly what you are seeing on each step, and any error code. Then we could see if the problem is in your procedure, or if there is an issue you should report to billing support, which is free, as pointed out by John Hanley in his comment.
Please, when you do this, make sure you don't include any personal information in the data you post here (such as project ID or password).
Related
So, I picked up an old project to maintain and don't have much context for it. But I need to access the machine to remove some files there that r causing errors on npm install. But, when I did enter the Google Cloud Painel, the server is running on the website but had no instance running. I don't know much about Google Cloud, so how its possible that the instance is not appearing to me? Even tho I know that exists and appears some information, but I wasn't able to find a way to access it, someone can help me? If it's too hard to explain here, we can find a way to talk.
You can see that has "Create Instance" on the button
I am having some of my GCP instances behave in a way similar to what is described in the below link:
Google Cloud VM Files Deleted after Restart
The session gets disconnected after a small duration of inactivity at times. On reconnecting, the machine is as if it is freshly installed. (Not on restarts as in the above link). All the files are gone.
As you can see in the attachment, it is creating the profile directory fresh when the session is reconnected. Also, none of the installations I have made are there. Everything is lost including the root installations. Fortunately, I have been logging all my commands and file set ups manually on my client. So, nothing is lost, but I would like to know what is happening and resolve this for good.
This has now happened a few times.
A point to note is that if I get a clean exit, like if I properly logout or exit from the ssh, I get the machine back as I have left, when I reconnect. The issue is there only when the session disconnects itself. There have been instances where the session disconnected and I was able to connect back as well.
The issue is not there on all my VMs.
From the suggestions from the link I have posted above:
I am not connected to the cloud shell. i am taking ssh of the machine using the chrome extension
Have not manually mounted any disks (afaik)
I have checked the logs from gcloud compute instances get-serial-port-output --zone us-east4-c INSTANCE_NAME. I could not really make much of it. Is there anything I should look for specifically?
Any help is appreciated.
Please find the links to the logs as suggested by #W_B
Below is from 8th when the machine was restarted and files deleted
https://pastebin.com/NN5dvQMK
It happened again today. I didn't run the command immediately then. The below file is from afterwards though
https://pastebin.com/m5cgdLF6
The below one is after logout today.
[4]: https://pastebin.com/143NPatF
Please note that I have replaced the user id, system name and a lot of numeric values in general using regexp. So, there is a slight chance that the time and other values have changed. Not sure if that would be a problem.
I have added the screenshot of the current config from the UI
Using locally attached SDD seems to be the cause ... here it is explained:
https://cloud.google.com/compute/docs/disks/local-ssd#data_persistence
You need to use a "persistent disk" - else it will behave just as you describe it.
I am currently trying to go through a fairly long hyperparameter grid search (4-5 hours) and I keep having issues with Jupyter Lab (or haven't figured out something yet) on a gcp notebook instance. The browser connection to the notebook keeps dropping, whereas the training process continues just fine. When it finishes training process, there's nowhere to write the output as the browser connection to the notebook has already dropped.
How can I keep that connection alive or make sure the output gets written into the notebook even if my laptop gets turned off/gets turned off?
There are multiple problems that may be affecting your notebook. It can be a GCP issue, a network issue... Therefore, you need to provide more information in order to diagnose what is happening. I would recommend you to open a ticket with GCP or Jupyter support to conduct a more thorough investigation as it can be something difficult to diagnose and they will have more tools to do it. Also, what #Joaquim suggested seems like a good workaround for the moment. Anyhow, I have gathered several troubleshooting steps that you can follow to find if it is one of this recurrent issues the one that is affecting you:
According to this Jupyter Notebook document, there is a ‘shutdown_no_activity_timeout’ option. The default value is ‘0’ that disables this automatic shutdown. The option might be overridden on ‘jupyter_notebook_config.py’ file. You may follow these steps to confirm it:
Click on the instance name of in which your Notebook is running on the AI Platform Notebooks page.
Remote access it by clicking “SSH”
Run this on the shell to confirm the existence of the overriding:
ls /home/*/.jupyter/jupyter_notebook_config.py
Run this command to confirm if the shutdown_no_activity_timeout option is doing the overriding:
cat /home/*/.jupyter/jupyter_notebook_config.py | grep shutdown_no_activity_timeout
Switch the option to ‘0’ if it is set to a different value, and reset the Notebook instances on this page to apply the change.
According to this other document, it might fail to connect when behind a proxy. You can try to disable your browser’s proxy settings.
You can also try to change the Jupyter port. On this Jupyter issue, the customer insists that his disconnection problem was gone after changing it. If you are using Chrome browser, could you please open the Inspect panel (Ctrl+Shift+I) and compare your connection symptoms with this image? If you get similar errors, you may try to change the port (c.NotebookApp.port).
When I open the Google Cloud Shell Code Editor it is not loading the resources and hence I am unable to work. I have attached a screenshot below with a view of the developer tools console. Please help me out. Thanks.
This issue seems to be related to an internal project/billing configuration. Since this kind of access errors are thrown when the accounts have payment issues, I think that you should firstly verify that your billing account is in a good status; however, if you continue getting these error messages after this validation, I suggest you to take a look the Issue Tracker tool that you can use to raise a Cloud Shell ticket in order to verify this scenario with the Google Technical Support Team.
A couple things could cause this:
An interfering browser extension
Are you using any browser extensions that could be interfering
(e.g., an ad blocker)
A bug.
As #Armin_SC suggested, use Issue Tracker to file an issue in this case.
As a workaround, you might want to try gcloud compute ssh to connect to your instances.
I am actually experimenting with the new Machine Learning API on Google cloud. All tutorials work great, Machine Learning API is activated, I can train models and access the status of the Jobs in the command line. But for some reason, I can't open the page https://console.cloud.google.com/ml/ to manage my models and jobs online.
Also, I don't have the Machine Learning button in the "Product and Services" column on the left from https://console.cloud.google.com/home/dashboard.
Even if I can do without, I wish I could have access to this console to make my work easier.
I found the same question here: Where is the Google Cloud ML Console UI? but the problem seems to be fixed since one of my colleague have access to it. Is there something to update?
I think the fix to enabling public access to all is in the process of rolling out. Sorry for the inconvenience and thanks for patience!
Is it possible that your colleague was a member of our alpha program, and was previously whitelisted to the console functonality?