Collects Docker container runtime metrics
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Snap collector plugin - Docker

This plugin collects runtime metrics from Docker containers and its host machine. It gathers information about resource usage and performance characteristics.

It's used in the Snap framework.

  1. Getting Started
  1. Documentation
  1. Community Support
  2. Contributing
  3. License
  4. Acknowledgements

Getting Started

In order to use this plugin you need Docker Engine installed. Visit Install Docker Engine for detailed instructions how to do it. Plugin was tested against Docker version 1.12.3.

Operating systems


Download the plugin binary:

You can get the pre-built binaries for your OS and architecture from the plugin's GitHub Releases page. Download the plugin from the latest release and load it into snapteld (/opt/snap/plugins is the default location for Snap packages).

To build the plugin binary:

Fork Clone repo into $GOPATH/src/

$ git clone<yourGithubID>/snap-plugin-collector-docker.git

Build the Snap docker plugin by running make within the cloned repo:

$ make

It may take a while to pull dependencies if you haven't had them already. This builds the plugin in ./build/

Configuration and Usage

Configuration parameters

It's possible to provide configuration to plugin via task manifest.

In order to setup Docker Remote API endpoint and procfs path in workflow section of a task configuration file it is necessary to include following:

        endpoint: "<DOCKER_REMOTE_API_ENDPOINT>"
        procfs: "<PATH_TO_PROCFS>"

where DOCKER_REMOTE_API_ENDPOINT is an endpoint that is being used to communicate with Docker daemon via Docker Remote API, where PATH_TO_PROCFS is a path to proc filesystem on host.

For more information see Docker Remote API reference


There are a number of other resources you can review to learn to use this plugin:

Notice, that this plugin using default docker server endpoint unix:///var/run/docker.sock to communicate with docker deamon. However, adding support for custom endpoints is on Roadmap.

Client instance ready for communication with the given // server endpoint. It will use the latest remote API version available in the // server.

Collected Metrics

The list of collected metrics is described in


Similar to dream levels in the movie Inception, we have different levels of examples:

  • LEVEL 0: Snap running on your system (Linux only).
  • LEVEL 1: Snap runs in a container.
  • LEVEL 2: Snap runs in a docker-in-docker container.

For the sake of ease-of-use, these examples are presented in reverse order.

Run example in a docker-in-docker container


Run example in a docker container (Linux or Darwin only)


Run example on your Linux system

Check if there is some running docker container(s):

$ docker ps

CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS              PORTS               NAMES
7720efd76bb8        ubuntu              "/bin/bash"         35 minutes ago      Up 35 minutes                           prickly_spence
ad5221e8ae73        ubuntu              "/bin/bash"         36 minutes ago      Up 36 minutes                     		suspicious_mirzakhani

In one terminal window, start the Snap daemon (in this case with logging set to 1 and trust disabled):

$ snapteld -l 1 -t 0

In another terminal window download and load plugins:

$ wget
$ wget
$ chmod 755 snap-plugin-*
$ snaptel plugin load snap-plugin-collector-docker
$ snaptel plugin load snap-plugin-publisher-file

You can list all of available metrics:

$ snaptel metric list

Download an example task file and load it:

$ curl -sfLO
$ snaptel task create -t docker-file.json
Using task manifest to create task
Task created
ID: 02dd7ff4-8106-47e9-8b86-70067cd0a850
Name: Task-02dd7ff4-8106-47e9-8b86-70067cd0a850
State: Running

See output from snaptel task watch <task_id>

(notice, that below only the fragment of task watcher output has been presented)

$ snaptel task watch 02dd7ff4-8106-47e9-8b86-70067cd0a850
Watching Task (02dd7ff4-8106-47e9-8b86-70067cd0a850):
NAMESPACE                                                                    DATA      		TIMESTAMP
/intel/docker/7720efd76bb8/cgroups/cpu_stats/cpu_usage/total           2.146646e+07       2016-06-21 12:44:09.551811277 +0200 CEST
/intel/docker/7720efd76bb8/cgroups/cpu_stats/cpu_usage/kernel_mode           1e+07              2016-06-21 12:44:09.552107446 +0200 CEST
/intel/docker/7720efd76bb8/cgroups/cpu_stats/cpu_usage/user_mode             0                  2016-06-21 12:44:09.552146203 +0200 CEST
/intel/docker/ad5221e8ae73/cgroups/cpu_stats/cpu_usage/total           2.146646e+07       2016-06-21 12:44:09.551811277 +0200 CEST
/intel/docker/ad5221e8ae73/cgroups/cpu_stats/cpu_usage/kernel_mode           1e+07              2016-06-21 12:44:09.552107446 +0200 CEST
/intel/docker/ad5221e8ae73/cgroups/cpu_stats/cpu_usage/user_mode             0                  2016-06-21 12:44:09.552146203 +0200 CEST
/intel/docker/root/cgroups/cpu_stats/cpu_usage/total                   2.88984998661e+12  2016-06-21 12:44:09.551811277 +0200 CEST
/intel/docker/root/cgroups/cpu_stats/cpu_usage/kernel_mode                   6.38e+11            2016-06-21 12:44:09.552107446 +0200 CEST
/intel/docker/root/cgroups/cpu_stats/cpu_usage/user_mode                     9.4397e+11          2016-06-21 12:44:09.552146203 +0200 CEST

(Keys ctrl+c terminate task watcher)

These data are published to file and stored there (in this example in /tmp/snap-docker-file.log).


There isn't a current roadmap for this plugin, but it is in active development. As we launch this plugin, we do not have any outstanding requirements for the next release.

If you have a feature request, please add it as an issue and/or submit a pull request.

Community Support

This repository is one of many plugins in snap, a powerful telemetry framework. See the full project at

To reach out to other users, head to the main framework or visit Slack.


We love contributions!

There's more than one way to give back, from examples to blogs to code updates. See our recommended process in


Snap, along with this plugin, is an Open Source software released under the Apache 2.0 License.


Thank you! Your contribution is incredibly important to us.