Docker (container_engine) logo by dotCloud, Inc. is licensed under the Apache License
Docker (container_engine) logo by dotCloud, Inc. is licensed under the Apache License
Buildx allows a developer to build for multiple architecture/operating systems.
When you invoke docker buildx build, you can set the --platform flag to specify the target platform for the build output, (for example, linux/amd64, linux/arm64, linux/arm/v7,linux/arm/v6, darwin/amd64).
Visual Studio Code is able to add a Dockerfile to the graphql-server project automagically.
Open the Command Palette (⇧⌘P) and use the "Docker: Add Docker Files to Workspace..." command:
Docker: Add Docker Files to Workspace...
Application Platform is Node.js
Select the project's package.json file
Specify the port that the image will be listening to
Don't add the Docker Compose file
Build the Docker image
Image built and uploaded to Docker Desktop
New container based on the new image (port 5000)
Container running
Testing the image using Docker Desktop
$ docker login --username=haddley
$ docker buildx build --platform linux/amd64,linux/arm64,linux/arm/v7,linux/arm/v6 --rm -t haddley/graphql-server:latest --push .
Build image for multiple Operating Systems/Processors
Image has been uploaded to Docker Hub
Multiple OS/ARCH
Add new instance.
docker run -d -p 5000:5000 haddley/graphql-server
docker run -d -p 5000:5000 haddley/graphql-server
Accessing the image running in the lab
The docker image can be run on a Raspberry Pi.
docker run the haddley/graphql-server image
GraphiQL intellisense
GraphQL service running on the Raspberry Pi