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The Codenvy IDE (Che) requires at least 3G of RAM to manage the full DSpace Code base.  Therefore, it is impossible to manage code and run DSpace in a free tier workspace.

Try

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out Codenvy Using this Pre-Built Factory

The following link to a Codenvy factory will build a 3GB workspace running the latest DSpace 6x published Docker Image.

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https://github.com/DSpace-Labs/DSpace-Docker-Images/blob/codenvy-refactor/add-ons/codenvy-scripts/setupCodenvy.sh

Configuring a Codenvy Workspace Yourself

Create a multi-machine stack that contains the desired images plus add an additional machine (eclipse/ubuntu_jdk8) to run the IDE.

Here is a docker compose configuration that I wish to replicate

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

The syntax is a subset of what is available to docker-compose. The flattening of the YAML makes it difficult to edit. 

"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"
},

Codenvy provides editing tools to add "machines" to a "stack configuration".

Image Added

Explicitly create a "server" for the container port to expose with a public URL.

 "dspace": {
    "attributes": {
      "memoryLimitBytes": "2684354560"
    },
    "servers": {
      "dspace": {
        "properties": {},
        "protocol": "http",
        "port": "8080"
      }
    },

After the workspace starts, the public address for this "server" will be exposed on the workspace configration screen.

Image Added