i have an issue with deploying Docker container to Azure Web Services, it is showing only for this whole time:
Azure view
Do you have maybe an idea why is it like that? This is my docker file:
Dockerfile
And im doing those steps: first programming, then pulling to github, then using Docker Image:Build Image, and then using command:
docker pull xxxx/xxxx:latest
And waiting for result, but it is not changing anything, i have the basic plan, so i cannot use better plan, im using Docker Hub service
Azure view
And these are the settings
Just a wild guess, but have you tried
docker push xxxx/xxxx:latest
this will upload your docker image to the registry so that azure can then download your image.
Related
I have a local PostgreSQL Database for my Discord Bot on my PC and want to update to my Heroku Application. I have added the Heroku Postgres Addon, but don't know how to upload the Database. I can't use the Amazon Web Services as told in the devcenter since i don't have any Credit Card. Is there any way to upload the Database without AWS? Thank You and sorry for my bad English
You can dump your local database contents to a SQL file with pgdump. Then you can access your Heroku database from your local machine and upload your SQL using the psql command-line client. Get the access url like this from the Heroku command and put it into your client program.
heroku config | grep HEROKU_POSTGRESQL
Know this: sometimes Heroku migrates your data from one host machine to another. When they do that they change your access url. So retrieve that url again whenever you use the psql client.
I need to deploy Vespa.ai docker containers on multiple instances (3) using kubernetes. What configuration changes do I have to do in my application package or in docker so that I can run the admin node, container node, content node on separate instances?
See this guide for how to deploy a multi node Vespa cluster on GKE (Google Kubernetes Engine) https://github.com/vespa-engine/sample-apps/tree/master/basic-search-on-gke.
I have a solution consisting of different small web-services, which right now I can simply build and run each in their own container via docker-compose.
Now, another service will be added, which will need some data access. Since running a mssql server on in a docker container is rather easy and basically consists of one entry in the docker compose, I would like to do the following:
Create a SQL Database project and add it to my solution
Configure the database project, so that it fits the need of the web service
build a containerized SQL-Sever and automatically publish the database schema from my database project
build the web service and connect it up with the containerized SQL server
The goal is, that after running docker-compose, everything should be up and running.
Is this possible as described?
One additional note: The whole thing is just a hobby project, I want to get familiar with docker, APIs and access to databases.
I have web application which uses angular 6 on client side,asp .net core on backend and sql server as a database.
I want to deploy this web apllication on nginx server using docker.
I have installed docker on windows and created nginx container also,but I dont know how to map host application to container and how to serve application.
Note : operating system is windows.
Use Docker-compose (https://docs.docker.com/compose/). You can connect your containers via extra_hosts and start your app with one command
Trying to find article or solution page in Azure but I am not successful yet.
The title is pretty much self explanatory. I am looking for a known best practice or solution with steps to follow to run docker with SQL Server in Azure.
I have Docker with SQL Server Express, Docker for Windows, running locally and my expectation is simply deploying this to Azure.
Based on my short experience with Azure, I probably need to set up some Azure service where I can deploy my docker image and run, not sure what that Azure product should be (probably more of Azure Container than Azure SQL)
well, given your requirement of windows containers (why?), you can use either Azure Container Instances (but be mindful of base images they support) or AKS engine. I'd discard webapps.