55 lines
1.8 KiB
Markdown
55 lines
1.8 KiB
Markdown
# Docker Network Graph
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Visualize the relationship between Docker networks and containers
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as a neat graphviz graph.
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## Example
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## Usage
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usage: docker-network-graph.py [-h] [-v] [-o OUT]
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Visualize docker networks.
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optional arguments:
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-h, --help show this help message and exit
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-v, --verbose Verbose output
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-o OUT, --out OUT Write output to file
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In most cases what you want to run are the following couple commands:
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git clone https://github.com/e-dant/docker-network-graph.git
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cd docker-network-graph
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pipenv install
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pipenv run python docker-network-graph.py -o output.svg
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This will generate an .svg file containing the graph.
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## Running inside docker
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If you want to generate a graph for a remote system you can also easily
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run this script inside a pre-built docker container:
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docker run --rm -v /var/run/docker.sock:/var/run/docker.sock e-dant/docker-network-graph
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This will just generate and output the graph in the [DOT Language][dot].
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You can then paste that code into [GraphvizOnline][gvonline]
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to render it. The recommended rendering engine is `fdp`.
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Alternatively, if you prefer to render locally, you can run
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`fdp -Tpng -o out.png` on a system with graphviz installed,
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paste the previous output there, press enter and finally CTRL+C to
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generate the file.
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For more advanced use cases you can append arguments to the `docker run`
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command as if you were running it in a local shell.
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[dot]: https://www.graphviz.org/doc/info/lang.html
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[gvonline]: https://dreampuf.github.io/GraphvizOnline/
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## Development
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If you'd like to contribute to this project, there is a sample docker-compose file
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using dummy containers in `test`.
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You can deploy it using `docker-compose -f test/docker-compose.yml up -d`.
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