I would like to use Codenvy as a development and test environment for a project with published Docker images.
Here is a simplified version of the docker-compose configuration that I would like to replicate on Codenvy.
services:
dspacedb:
image: dspace/dspace-postgres-pgcrypto
volumes:
- pgdata:/pgdata
dspace:
image: "dspace/dspace:dspace-6_x"
ports:
- 8080:8080
volumes:
- "assetstore:/dspace/assetstore"
- "solr:/dspace/solr"
depends_on:
- dspacedb
Based on my testing, I am unable to define volumes for my images. Fortunately, the Codenvy workspace persists the state of my containers between executions.
Here is the solution that I have currently implemented. I am curious to learn if there is a better approach.
Create a multi-machine stack that contains the desired images plus add an additional machine (eclipse/ubuntu_jdk8) to run the IDE.
"recipe": { "type": "compose", "content": "services:\\n dev-machine:\\n image: eclipse/ubuntu_jdk8\\n dspacedb:\\n image: dspace/dspace-postgres-pgcrypto\\n mem_limit: 536870912\\n dspace:\\n image: 'dspace/dspace:dspace-6_x'\\n mem_limit: 2147483648\\n", "contentType": "application/x-yaml" },
Explicitly create a "server" for the container that I wish to expose with a public URL.
"dspace": { "attributes": { "memoryLimitBytes": "2684354560" }, "servers": { "dspace": { "properties": {}, "protocol": "http", "port": "8080" } },
Create a workspace that uses this multi-machine image
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