Runtime Machines

A machine is part of an environment, which are in turn part of a Codenvy workspace. The workspace administration introduction explains the details of this relationship.

A machine is created from a runtime stack. Codenvy supports both single-machine environments and multi-machine environments. The Codenvy server manages the lifecycle of environments and the machines inside, including creating snapshots of machines. Additionally, the Codenvy server can inject workspace agents into a machine to provide additional capabilities inside the machine.

Add / Remove Libraries and Tools To Runtime Machines

You can use the terminal and command line to install additional libraries and tools. After you have created a workspace, open a terminal in the IDE. You can then perform commands like npm or yum install to add software into your workspace. These changes will only exist for the lifespan of this single workspace. You can capture these changes permanently by creating a snapshot (which can then be used as a recipe), or writing a custom stack that includes these commands in a Dockerfile (this method will make your workspace shareable with others).

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The following example takes a Java ready-to-go stack and adds Jetty8 in the workspace runtime configuration.

# apt-get update
sudo apt-get update

# Upgrade existing tools
sudo apt-get upgrade

# Install Jett8
sudo apt-get install jetty8

# Jetty8 installed at path /usr/share/jetty8

Machine Snapshot

Machines can have their internal state saved into a Docker image with a snapshot.

Snapshots are important to preserve the internal state of a machine that is not defined by the recipe. For example, you may define a recipe that includes maven, but your project may require numerous dependencies that are downloaded and locally installed into the internal maven repository of the machine. If you stop and restart the machine without a snapshot, that internal state will be lost.

Note that once you’ve snapshotted a workspace, changing the environment or machine names inside the workspace will result in the snapshot being lost.

Snapshots image a machine and then it is committed, tagged, and optionally pushed into a Docker registry. You can use a local Docker registry or a remote one. See Configuration for information on how to setup a docker registry.

By default machines are automatically snapshotted when they are stopped. By default, Codenvy does not need a local/remote Docker registry to create snapshots. If no registry is used, a container is committed into an image which is then tagged, so that next time a workspace is started with this image. The behavior is regulated with the following environment variables:

# Provide in codenvy.env

# If false, snaps are saved to disk. If true, snaps are saved in a registry.
# The namespace is how the snapshots will be organized in the registry.
CODENVY_DOCKER_REGISTRY__FOR__SNAPSHOTS=false
CODENVY_DOCKER_NAMESPACE=NULL

# Docker Registry for Workspace Snapshots
CODENVY_DOCKER_REGISTRY_FOR_WORKSPACE_SNAPSHOTS=<your_private_registry_url>:5000

# Enable/Disable auto snapshotting and auto restoring from a snapshot
CODENVY_WORKSPACE_AUTO_SNAPSHOT=true
CODENVY_WORKSPACE_AUTO_RESTORE=true

See our other docs for details on setting up a local or remote Docker Registry.

Dashboard Machine Information

Information on each machine can be viewed in the in the Dashboard. Information on each machine in a workspace can be viewed after clicking on the workspace name, selecting the Runtime tab, and clicking the expand button located next to each machine. Machine information includes source, ram, agents, exposed ports, and environment variables. All of these configuration items can be changed on a stopped workspace/machine. If the workspace/machine is running, the workspace will be stopped automatically. The saved configuration items will be used the next time the work space is started and will supersede any values given in the original workspace stack. Changes made to the runtime configuration will only effect the workspace and will not be saved to original stack to be create other workspaces from.

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