71 lines
2.1 KiB
Markdown
71 lines
2.1 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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This repository fork [e-dant/docker-network-graph](https://github.com/e-dant/docker-network-graph)
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Changes:
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- Improved design
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- Added the ability to generate url
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- Added display of connections with the host
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## Example
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## Usage
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```bash
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usage: docker-network-graph.py [-h] [-v] [-o OUT] [-u]
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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 [not supported by container]
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-u, --url Generate link for GraphvizOnline
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```
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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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```bash
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docker run --rm -v /var/run/docker.sock:/var/run/docker.sock ghcr.io/muratovas/docker-network-graph:latest -u
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```
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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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## Running local
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In most cases what you want to run are the following couple commands:
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```bash
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git clone https://github.com/muratovas/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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```
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This will generate an .svg file containing the 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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## 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
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```bash
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docker-compose -f docker-compose.yml up -d
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```
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## Credit
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[dot lang](https://www.graphviz.org/doc/info/lang.html)
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[gvonline](https://dreampuf.github.io/GraphvizOnline/)
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