Notebook instance cannot be reached for several days - google-cloud-platform

As it is described on the title, I cannot reach a notebook instance for 3 days continiously. I also have this issue occasionally.
Anytime I try, It prompts
does not have enough resources available to fulfill the request. Try a
different zone, or try again later.
And it never became available at all! Any suggestions? I thought to move instance to another region but I am afraid this issue can be encountered on other regions too which is not a solid solution at least.

I would suggest you to try creating the instance in another region/zone.
It would also be useful to know in which zone are you trying to create the instance.
Zones like south-asia1-a/b/c (Mumbai) are always used at their full capacity and rarely have enough resources for creating new instances. There's another post with a similar situation, with a more detailed answer that may solve or find a workaround to your specific case here. Please let me know if this solves your issue.

Related

ZONE_RESOURCE_POOL_EXHAUSTED for DataFlow & DataPrep

Alright team...Dataprep running into BigQuery. I cannot for the life of me find out why I have the ZONE_RESOURCE_POOL_EXHAUSTED issue for the past 5 hours. The night before, everything was going great, but today, I am having some serious issues.
Can anyone give any insight into how to change the resource pool for Dataflow jobs with regard to Dataprep? I can't even get a basic column transform to push through.
Looking forward to anyone helping me with this because honestly, this issue one of those "just change this and maybe that will fix it and if not, maybe a few weeks and it'll work".
Here is the issue in screenshot: https://i.stack.imgur.com/Qi4Dg.png
UPDATE:
I believe some of my issue may deal with GCP Compute incident 18012 espcially since it's a us-central based issue for creation of instances.
The incident you mentioned was actually resolved on November 5th and was only affecting the us-central1-a zone. Seeing that your question was posted on November 10th and other users in the comments got the error in the us-central1-b zone, the error is not related to the incident you linked.
As the error message suggests, this is a resource availability issue. These scenarios are rare and are usually resolved quickly. If this ever happens in the future, using Compute Engine instances in other regions/zones will solve the issue. To do so using Dataprep, as mentioned in the comment, after the job is launched from Dataprep, you can re-run the job from Dataflow while specifying the region/zone you would like to run the job in.

not have enough resources available to fulfil the request try a different zone

not have enough resources available to fulfill the request try a different zone
All of my machines in the different zone
have the same issue and can not run.
"Starting VM instance "home-1" failed.
Error:
The zone 'projects/extreme-pixel-208800/zones/us-west1-b' does not have enough resources available to fulfill the request. Try a different zone, or try again later."
I am having the same issue. I emailed google and figured out this has nothing to do with quota. However, you can try to decrease the need of your instance (eg. decrease RAM, CPUs, GPUs). It might work if you are lucky.
Secondly, if you want to email google again, you will get the message sent from the following template.
Good day! This is XX from Google Cloud Platform Support and I'll be
glad to help you from here. First, my apologies that you’re
experiencing this issue. Rest assured that the team is working hard to
resolve it.
Our goal is to make sure that there are available resources in all
zones. This type of issue is rare, when a situation like this occurs
or is about to occur, our team is notified immediately and the issue
is investigated.
We recommend deploying and balancing your workload across multiple
zones or regions to reduce the likelihood of an outage. Please review
our documentation [1] which outlines how to build resilient and
scalable architectures on Google Cloud Platform.
Again, we want to offer our sincerest apologies. We are working hard
to resolve this and make this an exceptionally rare event. I'll be
keeping this case open for one (1) business day in case you have
additional question related to this matter, otherwise you may
disregard this email for this ticket to automatically close.
All the best,
XXXX Google Cloud Platform Support
[1] https://cloud.google.com/solutions/scalable-and-resilient-apps
So, if you ask me how long you are expected to wait and when this issue is likely to happen:
I waited for an average of 1.5-3 days.
During the weekend (like from Friday to Sunday) daytime EST, GCP has a high probability of unavailable resources.
Usually when you have one instance that has this issue, others too. For me, keep trying in different region waste my time. (But, maybe it just that I don't have any luck)
The error message "The zone 'projects/[...]' does not have enough resources available to fulfill the request. Try a different zone, or try again later." is always in reference to a shortage of resources in a zone.
Google recommends spreading your workload across different zones to reduce the impact of these issues on your workload. Otherwise, there isn't much else to do other than wait or try another zone/region
Faced this Issue yesterday [01/Aug/2020] when GCP free credit was over and below steps helped to workaround this.
I was on asia-south-c zone and moved to us zone
Going to my Google Cloud Platform >>> Compute Engine
Went to Snapshots >>> created a snapshot >>> Select your Compute Engine instance
Once snapshot was completed I clicked on my snapshot.
Ended up under "snapshot details". There, on the top, just click create instance. Here you are basically creating an instance with a copy of your disk.
Select your new zone, don't forget to attach GPUs, all previous setting, create new name.
Click create, that's it, your image should now be running in your new zone
No worry of losting configuration as well.

I stopped an instance after free trial and it got deleted

Is there any way to recover it? Does google delete instances in this case automatically?
Thanks
Google, as for now, does not offer an ability to recover deleted instances at all. They did receive several feedbacks on this issue (one of them is here) to enable recovering deleted instances or to put deleted instances in a bin for a short period of time, but they leave those ideas "under review" and don't plan to implement it any time soon.

Why do my #AWS EC2 spot instance requests get stuck in pending-evaluation status?

When I try to launch an EC2 spot instance, the instance almost immediately goes into status = pending-evaluation and stays there indefinitely.
My bid price is far above the current spot price, and I have no trouble launching dedicated instances.
Why is this happening? Has anyone had a similar problem?
Can't answer the "why" but regarding "has anyone had a similar problem" - yes, many people have had this same issue over many years.
Search the AWS support forums for "pending-evaluation" and you'll have a lot of threads to read up on: https://forums.aws.amazon.com/search.jspa?mbtc=70747e76394e723be38d774e355fd542ab723cc7d767e298a5626f55fd475590&threadID=&q=%22pending-evaluation%22&objID=&userID=&dateRange=all&numResults=30&rankBy=9
Noticeably quite a few of them has had responses from AWS support stating something in the line of "we found an issue with your account, it should be fixed now". However many posts have remained unanswered so unless you're paying for support it seems you might need luck on your side to get your issues resolved.

How to deactivte\close an Amazon AWS user (or at least the billing)?

I had last semester a university course where I used AWS to do the homework, and later I deleted all instances, all volumes, everything. But it for some reason still counts hours (for now without charging me).
But I would like to know how can I disable every possibility to get charged, just in case I forgot something (cannot find something)
As stated I don't want to use their services anymore, so a brute-force account delete\disable is the best option for me.
Just contact AWS and request them to close it.
https://aws.amazon.com/support/