deployment

问题 I see that I can use the "kubectl set image" command to update a container used in a deployment, like this: kubectl set image deployment/myapp myapp=repo.mycompany.com/myapp/ui:beta.119 But, i would also like to use a different startup command in some situations. Is there a way to update both the image AND the command used for the container? 回答1: You could use kubectl patch for that. Run kubectl patch --help to get the docs, but as far as I can tell something like this should do it: $ kubectl

问题 When trying to deploy my fastapi python service (on App Engine), I'm running into the following error in the deploy step: ERROR: gcloud crashed (OSError): [Errno 2] No such file or directory: '/workspace/env/bin/python3.7' I'm starting the deploy/build from my local machine with the following command: gcloud builds submit --config config/cloudbuild/deploy.yaml --project $_PROJECT . Am I doing something wrong, or could it be something wrong with the gcloud builder? I've tried with both google

问题 When trying to deploy my fastapi python service (on App Engine), I'm running into the following error in the deploy step: ERROR: gcloud crashed (OSError): [Errno 2] No such file or directory: '/workspace/env/bin/python3.7' I'm starting the deploy/build from my local machine with the following command: gcloud builds submit --config config/cloudbuild/deploy.yaml --project $_PROJECT . Am I doing something wrong, or could it be something wrong with the gcloud builder? I've tried with both google

问题 When trying to deploy my fastapi python service (on App Engine), I'm running into the following error in the deploy step: ERROR: gcloud crashed (OSError): [Errno 2] No such file or directory: '/workspace/env/bin/python3.7' I'm starting the deploy/build from my local machine with the following command: gcloud builds submit --config config/cloudbuild/deploy.yaml --project $_PROJECT . Am I doing something wrong, or could it be something wrong with the gcloud builder? I've tried with both google

问题 im trying to deploy a keras project to heroku but pushing to the repository master branch seems to be problematic for me as the following error is reported every time I try it: remote: -----> Compressing... remote: ! Compiled slug size: 836M is too large (max is 500M). remote: ! See: http://devcenter.heroku.com/articles/slug-size remote: remote: ! Push failed remote: Verifying deploy... remote: remote: ! Push rejected to ... I figured this is due to the tensorflow requirement being way too

问题 I am roughly following this deployment guide for Flask. When I launch my app through uwsgi, I receive the error: *** Operational MODE: preforking *** unable to load app 0 (mountpoint='') (callable not found or import error) *** no app loaded. going in full dynamic mode *** It is the same issue as this other SO question, so it is a python path problem, but I still can't get my app to run. Here is my setup: /home/btw/prod/ .... app.py .... inits.py .... templates/ .... wsgi.py .... prod.ini ...

问题 We use automatic deployment process in Azure by KUDU scripts and by today we see strange error in Azure deployment center: Command dotnet publish (and also 'dotnet build') returns: MSBUILD : error MSB1025: An internal failure occurred while running MSBuild. Unhandled exception. System.ComponentModel.Win32Exception (5): Access is denied. System.ComponentModel.Win32Exception (5): Access is denied. at System.Diagnostics.Process.set_PriorityClassCore(ProcessPriorityClass value) at System

问题 Created a new project, on first deploy I get this: Updating service [default] (this may take several minutes)...failed. ERROR: (gcloud.app.deploy) Error Response: [13] Flex operation projects/primalexchange/regions/us-east1/operations/b5a5813a-14bf-43b6-af7f-e17b15866c4f error [INTERNAL]: An internal error occurred while processing task /appengine-flex-v1/insert_flex_deployment/flex_create_resources>2020-05-16T23:23:08.373Z4721.jc.14: Deployment Manager operation primalexchange/operation

问题 Trying to deploy my app to Heroku (free Dyno) I keep getting an Error FATAL ERROR: Ineffective mark-compacts near heap limit Allocation failed - JavaScript heap out of memory . I've already tried to set node --optimize_for_size --max_old_space_size=460 --gc_interval=100 as it's recommended in Heroku FAQ Support but it doesn't seem to help here. My app runs well on my local Windows machine but on Heroku, the error pops up no matter what I do. It crashes not on the stage of starting the script

问题 Yesterday, I was able to setup a starter-pack instance of gatsby and deploy to github pages. Since then, I've updated my react/js files locally, which seemed to run fine locally. Now I want to compile my sass: I can't find a decent solution which works: Here's the sass compiler I tried to install: sass --watch assets/scss/main.scss:assets/css/style.css Node sass watch runs, but doesn't actually compile anything. I get an error instead: Problems: 1) Since installing the sass ./src/assets/scss