Just signed to the free Google cloud account (300$ Credit) to see if it supports exporting VMs in OVF format.
Created a new project and By clicking on the Compute>Compute engine> VM Instance I see below error message:
"The project you requested is unavailable."
There is no extra information provided on the screen.
Google compute engine currently doesn't support exporting VMs in OVF or OVA format. You can use free tools, e.g. VirtulBox to convert GCE images from the RAW format to VMD, VDI, VHD
https://www.virtualbox.org/manual/ch08.html#idp58756992
Here are instructions of how to create a RAW file from an image:
https://cloud.google.com/compute/docs/images#exporting_an_image_to_google_cloud_storage
In order to troubleshoot your GCE "The project you requested is unavailable" issue in developer console, you can login using Incognito window in chrome or use another browser to see if that resolves the issue.
Update: GCE supports OVA and OVF now. Here is how you can import the image.
Related
I have an old Debian Compute Engine instance (created and running since December 2013) and got an email warning about the turndown of Legacy GCE and GKE metadata server endpoints (more details at https://cloud.google.com/compute/docs/migrating-to-v1-metadata-server).
I followed the directions for locating the process and found that the requests were coming from /usr/share/google/google_daemon/manage_addresses.py. The script seems to be the same as what's at https://github.com/gtt116/gce/blob/master/google_daemon/manage_addresses.py (also with what's in that directory).
I don't recall installing this, so I'm imaging it came with the provided Debian image I used in 2013.
Does anyone know what this manage_addresses.py script is, what it does, and what I should do with it now that the legacy metadata server endpoints are turning down? Is it safe to just stop running it? Or is there a new script I should replace it with? Or should I just try to update it myself to use the new endpoint?
I dug around and was able to trace /usr/share/google/google_daemon/manage_addresses.py as being installed by a package called google-compute-daemon. A search for that brought me to https://github.com/GoogleCloudPlatform/compute-image-packages#troubleshooting which explains that google-compute-daemon has been replaced with python-google-compute-engine. That led me to https://cloud.google.com/compute/docs/images/install-guest-environment . I followed the instructions there and manually installed the guest environment.
I noticed during installation that it said it was removing the google-compute-daemon package (and a packaged called google-startup-scripts), so this seems like the right thing. And I'm no longer seeing any requests to the legacy endpoints. So it seems like at some point the old guest environment failed to update.
TLDR; If you have this problem, follow the instructions at https://cloud.google.com/compute/docs/images/install-guest-environment#installing_guest_environment to manually update the guest environment.
I'm developing an app locally right now in Google App Engine in which users can upload videos. I've set up the Google Cloud Storage library and set the read-access to public.
In the dev server, you can access the files via the URL: http://localhost:8080/_ah/gcs/bucket/filename
I'm trying to serve the files in a video HTML tag but it resulting in an error in Chrome. I get the message: Failed to load resource: the server responded with a status of 500 (Internal Server Error). The server console shows the request for the file fails.
This only happens in Chrome and works fine in other browsers.
Any idea why this would be happening? It's a little hard to debug.
You need to use a URL that leads to a Cloud Storage object. It looks like:
https://storage.googleapis.com/YOUR_BUCKET/YOUR_OBJECT
Look in the Console to get the name of your default app bucket. Usually it's the same as your app id.
I'm trying "Click-to-deploy Hadoop on Google Compute Engine" here
Unfortunately this doesn't seems to work : either the process stops almost immediately, or it's like it's frozen.
message displayed is
Deployment may take 3 to 10 minutes to complete, depending on the size of your cluster
Creating deployment
In any case, I can't have any cluster. Tried several zones, Hadoop versions, nothing.
Any thought ?
The problem is occurring because your Cloud project does not have a project id associated with it, but only a project number, which is true for some long-standing Cloud projects.
https://developers.google.com/console/help/new/#projectnumber
You can fix this by going into Developers Console, selecting your project from the project list, selecting Billing & settings from the left-hand navigation, and adding the project id there.
The following URL should take you there directly:
https://console.developers.google.com/project/_/settings
Thanks,
-Matt
A few items to help diagnose the problem:
Go to the Compute Engine instance list and check if there are any instances created for the deployment.
Check if there are any errors raised to the Javascript Console for your browser.
BTW, what browser and version are you using?
Thanks.
No instance deployed (however I can (and had) deployed compute engine VM instances)
I have a 404 in console :
POST https://console.developers.google.com/m/deploy?pid=1090158225078&cmd=custom…ion=europe-west1&app=hadoop&xsrf=R5Ezthkrr1L8xU1STye3sXUiHiA:1414055456964 404 (Not Found)
on Chrome, Windows7
I tried on Firefox too : no 404 in console but same effect : no deployment at all.
The "customdeploy" command should not be returning a 404, so let's check if there's something going on with your Cloud project.
Click to Deploy uses the preview version of Deployment Manager on the backend. Let's check the objects (if any) that Deployment Manager has created for the Hadoop deployment.
To do this, you will need to:
Install the Google Cloud SDK (if you have not already)
Add the preview component
Query for Deployment Manager templates
Query for Deployment Manager deployments
Install the Google Cloud SDK:
Instructions are here: https://cloud.google.com/sdk/
Add the preview component:
gcloud components update preview
Query for Deployment Manager templates
gcloud preview --project=<projectid> deployment-manager templates list
Query for Deployment Manager deployments
gcloud preview --project=<projectid> deployment-manager deployments --region europe-west1 list
One last question. Is this a relatively "new" or "old" Google Cloud project? Sometimes old projects need a feature to be enabled that is automatically enabled on new projects.
Thanks.
Is there a way to create a VM instance on Google Cloud using a VHD? It looks pretty straight forward and well documented on the Azure cloud but there is no information I can find on G-Cloud.
Seems like I'm wasting my time recreating my servers on the Google Cloud and I'm quickly losing site of the value of the Google Cloud.
You can bring your own image to GCE. You can follow the instruction on the public documentation on GCE. There's also this video that explains the process.
VHD and VHDX virtual disk files can be converted to GCE compatible disks using steps here. For more sophisticated workflows the image import workflows in the compute-image-tools repository can be useful.
I am working on an HTML5 web application, which I need to host in Google cloud platform.
How can I deploy the web application, which is based on HTML5/CSS3, jQuery to Google Cloud platform/App Engine?
Clarification:
My web application is build using HTML5/CSS3 with javascript to process data. I am using Visual Studio IDE for development of the same. As per my understanding, apart from the supported languages like java, Python, etc, we can deploy html5 web application to Google cloud platform. How can I package my HTML5 application, which is not using any specific language and deploy to App Engine?
Thanks
Ambily
You can deploy to a bucket directly:
The Website Configuration feature enables you to configure a Google
Cloud Storage bucket to simulate the behavior of a static website. You
can define main pages or directory indices (for example, index.html)
for buckets and "directories". Also, you can define a custom error
page in case a requested resource does not exist.
No programming language at all required :)
Google Cloud Storage
You need a account with Google Cloud Platform to start with. Assuming you have that.
Go to cloud console where you find all the admin menus for creating instances.
You need to create a compute engine instance, if you want to create full fledged website.
Steps to follow:
Create a instance (linux, 10GB disk, 1.7GB memmory) and configure it for all required components.
After this you can move your files to your website folder usually "htdocs"
You will be assigned with an empirical IP address.
Using zone management tools you can add a new domain. All that using the admin panel, no complexity involved.
You may required to configure proxy, if you need access to other machines.