Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/s0rg/decompose
Reverse-engineering tool for docker environments
https://github.com/s0rg/decompose
cli developer-tools diagrams docker docker-compose dotviz golang-application reverse-engineering software-architecture structurizr-dsl
Last synced: about 2 months ago
JSON representation
Reverse-engineering tool for docker environments
- Host: GitHub
- URL: https://github.com/s0rg/decompose
- Owner: s0rg
- License: mit
- Created: 2023-08-16T18:34:23.000Z (about 1 year ago)
- Default Branch: master
- Last Pushed: 2024-07-25T19:14:45.000Z (about 2 months ago)
- Last Synced: 2024-07-25T22:07:47.851Z (about 2 months ago)
- Topics: cli, developer-tools, diagrams, docker, docker-compose, dotviz, golang-application, reverse-engineering, software-architecture, structurizr-dsl
- Language: Go
- Homepage:
- Size: 244 KB
- Stars: 80
- Watchers: 3
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Security: SECURITY.md
Awesome Lists containing this project
- awesome-docker - decompose - Reverse-engineering tool for docker environments. By [@s0rg](https://github.com/s0rg) (Container Operations / User Interface)
README
[](https://github.com/s0rg/decompose/blob/master/LICENSE)
[](https://app.fossa.com/projects/git%2Bgithub.com%2Fs0rg%2Fdecompose?ref=badge_shield)
[](go.mod)
[](https://github.com/s0rg/decompose/releases/latest)
[](https://github.com/avelino/awesome-go)
[](https://github.com/s0rg/decompose/actions?query=workflow%3Aci)
[](https://goreportcard.com/report/github.com/s0rg/decompose)
[](https://codeclimate.com/github/s0rg/decompose/maintainability)
[](https://codeclimate.com/github/s0rg/decompose/test_coverage)
# decompose
Reverse-engineering tool for docker environments.
Takes all network connections from your docker containers and exports them as:
- [graphviz dot](https://www.graphviz.org/doc/info/lang.html)
- [structurizr dsl](https://github.com/structurizr/dsl)
- [compose yaml](https://github.com/compose-spec/compose-spec/blob/master/spec.md)
- [plant uml](https://github.com/plantuml/plantuml)
- pseudographical tree
- json stream
- statistics - nodes, connections and listen ports counts
- CSV with columns: `name`, `listen` and `outbounds`
## rationale
I was in need for a tool to visualize and inspect big (more than 470 containers) dockerized legacy system without any
schemes and having a bare minimum of documentation
## analogs
Closest analogs, i can find, that not suit my needs very well:
- [Red5d/docker-autocompose](https://github.com/Red5d/docker-autocompose) - produces only `compose yaml`
- [justone/dockviz](https://github.com/justone/dockviz) - produces only `dot`, links and ports are taken
from compose configuration (`links` and `ports` sections) directly, therefore can miss some of them
- [LeoVerto/docker-network-graph](https://github.com/LeoVerto/docker-network-graph) - very same as above, in python
- [weaveworks/scope](https://github.com/weaveworks/scope) - deprecated, no cli
## features
- os-independent, it uses different strategies to get container connections:
- running on **linux as root** is the fastest way and it will work with all types of containers (even `scratch`-based)
as it use `nsenter`
- running as non-root or on non-linux OS will attempt to run `netsat` inside container, if this fails
(i.e. for missing `netstat` binary), no connections for such container will be gathered
- single-binary, static-compiled unix-way `cli` (all output goes to stdout, progress information to stderr)
- produces detailed connections graph **with ports**
- save `json` stream once and process it later in any way you want
- all output formats are sorted, thus can be placed to any `vcs` to observe changes
- fast, scans ~470 containers with ~4000 connections in around 5 sec
- auto-clusterization based on graph topology
- deep inspection mode, in wich connections between procesess inside containers, also collected and shown
- unix-sockets connections
- 100% test-coverage
## known limitations
- only established and listen connections are listed (but script like [snapshots.sh](examples/snapshots.sh) can beat this)
- `composer-yaml` is not intended to be working out from the box, it can lack some of crucial information (even in `-full` mode),
or may contains cycles between nodes (removing `links` section in services may help), its main purpose is for system overview
- [gephi](https://github.com/gephi/gephi) fails to load edges from resulting graphviz, this can be fixed by any auto-replacement
tool: `sed -i 's/->/ -> /g' myfile.dot`
- unix-sockets works only in root mode on linux, this process involves inode matching to find correct connections
## installation
- [binaries / deb / rpm](https://github.com/s0rg/decompose/releases) for Linux, FreeBSD, macOS and Windows
- [docker image](https://hub.docker.com/r/s0rg/decompose)
## usage
```
decompose [flags]
-cluster string
json file with clusterization rules, or auto: for auto-clustering, similarity is float in (0.0, 1.0] range
-compress
compress graph
-deep
process-based introspection
-follow string
follow only this container by name(s), comma-separated or from @file
-format string
output format: csv, dot, json, puml, sdsl, stat, tree, yaml (default "json")
-help
show this help
-load value
load json stream, can be used multiple times
-local
skip external hosts
-meta string
json file with metadata for enrichment
-no-loops
remove connection loops (node to itself) from output
-no-orphans
remove orphaned (not connected) nodes from output
-out string
output: filename or "-" for stdout (default "-")
-proto string
protocol to scan: tcp,udp,unix or all (default "all")
-silent
suppress progress messages in stderr
-skip-env string
environment variables name(s) to skip from output, case-independent, comma-separated
-version
show version
```
### environment variables:
- `DOCKER_HOST` - connection uri
- `DOCKER_CERT_PATH` - directory path containing key.pem, cert.pm and ca.pem
- `DOCKER_TLS_VERIFY` - enable client TLS verification
- `IN_DOCKER_PROC_ROOT` - for in-docker scenario - root for host-mounted /proc
## json stream format
```go
type Item struct {
Name string `json:"name"` // container name
IsExternal bool `json:"is_external"` // this host is external
Image *string `json:"image,omitempty"` // docker image (if any)
Container struct{
Cmd []string `json:"cmd"`
Env []string `json:"env"`
Labels map[string]string `json:"labels"`
} `json:"container"` // container info
Listen map[string][]{
Kind string `json:"kind"` // tcp / udp / unix
Value string `json:"value"`
Local bool `json:"local"` // bound to loopback
} `json:"listen"` // ports with process names
Networks []string `json:"networks"` // network names
Tags []string `json:"tags"` // tags, if meta presents
Volumes []*struct{
Type string `json:"type"`
Src string `json:"src"`
Dst string `json:"dst"`
} `json:"volumes"` // volumes info, only when '-full'
Connected map[string][]string `json:"connected"` // name -> ports slice
}
```
Single node example with full info and metadata filled:
```json
{
"name": "foo-1",
"is_external": false,
"image": "repo/foo:latest",
"container": {
"cmd": [
"foo",
"-foo-arg"
],
"env": [
"FOO=1"
],
"labels": {}
},
"listen": {"foo": [
{"kind": "tcp", "value": "80"}
]},
"networks": ["test-net"],
"tags": ["some"],
"volumes": [
{
"type": "volume",
"src": "/var/lib/docker/volumes/foo_1/_data",
"dst": "/data"
},
{
"type": "bind",
"src": "/path/to/foo.conf",
"dst": "/etc/foo.conf"
}
],
"connected": {
"bar-1": [
{"src": "foo", "dst": "[remote]", "port": {"kind": "tcp", "value": "443"}}
]
}
}
```
See [stream.json](examples/stream.json) for simple stream example.
## metadata format
To enrich output with detailed descriptions, you can provide additional `json` file, with metadata i.e.:
```json
{
"foo": {
"info": "info for foo",
"docs": "https://acme.corp/docs/foo",
"repo": "https://git.acme.corp/foo",
"tags": ["some"]
},
"bar": {
"info": "info for bar",
"tags": ["other", "not-foo"]
}
}
```
Using this file `decompose` can enrich output with info and additional tags, for every container that match by name with
one of provided keys, like `foo-1` or `bar1` for this example.
See [csv2meta.py](examples/csv2meta.py) for example how to create such `json` fom csv, and
[meta.json](examples/meta.json) for metadata sample.
## clusterization
### with rules
You can join your services into `clusters` by flexible rules, in `dot`, `structurizr` and `stat` output formats.
Example `json` (order matters):
```json
[
{
"name": "cluster-name",
"weight": 1,
"if": ""
},
...
]
```
Weight can be omitted, if not specified it equals `1`.
Where `` is [expr dsl](https://expr-lang.org/docs/Language-Definition), having env object `node` with follownig
fields:
```go
type Node struct {
Listen PortMatcher // port matcher with two methods: `HasAny(...string) bool` and `Has(...string) bool`
Name string // container name
Image string // container image
Cmd string // container cmd
Args []string // container args
Tags []string // tags, if meta present
IsExternal bool // external flag
}
```
See: [cluster.json](examples/cluster.json) for detailed example.
### automatic
Decompose provides automatic clusterization option, use `-cluster auto:` to try it out, `similarity` is
a float in `(0.0, 1.0]` range, representing how much similar ports nodes must have to be placed in same cluster
(`1.0` - must have all ports equal).
## examples
Save full json stream:
```shell
sudo decompose > nodes-1.json
```
Get `dot` file:
```shell
decompose -format dot > connections.dot
```
Get tcp and udp connections as `dot`:
```shell
decompose -proto tcp,udp -format dot > tcp.dot
```
Merge graphs from json streams, filter by protocol, skip remote hosts and save as `dot`:
```shell
decompose -local -proto tcp -load "nodes-*.json" -format dot > graph-merged.dot
```
Load json stream, enrich and save as `structurizr dsl`:
```shell
decompose -load nodes-1.json -meta metadata.json -format sdsl > workspace.dsl
```
Save auto-clustered graph, with similarity factor `0.6` as `structurizr dsl`:
```shell
decompose -cluster auto:0.6 -format sdsl > workspace.dsl
```
## example result
Scheme taken from [redis-cluster](https://github.com/s0rg/redis-cluster-compose):
 *it may be too heavy to display it with
browser, use `save image as` and open it locally*
Steps to reproduce:
```shell
git clone https://github.com/s0rg/redis-cluster-compose.git
cd redis-cluster-compose
docker compose up -d
```
then:
```shell
decompose -format dot | dot -Tsvg > redis-cluster.svg
```
## license
[](https://app.fossa.com/projects/git%2Bgithub.com%2Fs0rg%2Fdecompose?ref=badge_large)