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https://github.com/odarriba/docker-storj-multinode-dashboard
Unofficial docker image to use Storj Multinode Dashboard
https://github.com/odarriba/docker-storj-multinode-dashboard
docker storj unofficial
Last synced: 29 days ago
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Unofficial docker image to use Storj Multinode Dashboard
- Host: GitHub
- URL: https://github.com/odarriba/docker-storj-multinode-dashboard
- Owner: odarriba
- License: mit
- Created: 2021-09-09T19:00:56.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-01-19T20:32:56.000Z (almost 3 years ago)
- Last Synced: 2023-03-25T08:58:23.934Z (almost 2 years ago)
- Topics: docker, storj, unofficial
- Language: Shell
- Homepage: https://hub.docker.com/r/odarriba/storj-multinode-dashboard
- Size: 8.79 KB
- Stars: 5
- Watchers: 1
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Storj Multinode Dashboard Docker image
*This is an unofficial docker image that make uses of official releases from Storj*[![](https://img.shields.io/docker/v/odarriba/storj-multinode-dashboard?style=flat-square)](https://hub.docker.com/r/odarriba/storj-multinode-dashboard)
This repository contains an unofficial Docker image for running Multinode
Dashboard in a Docker environment, within an orchestration software like K8s or
using Docker Compose.You can find builds of this container named as
[odarriba/storj-multinode-dashboard](https://hub.docker.com/r/odarriba/storj-multinode-dashboard)
on Docker Hub, cross built for amd64, armv7 and armv8.The container tag of those builds is the Storj version number used in the build.
## Getting started
First of all, generate the identity:
```
$ docker run --rm --entrypoint="create_identity" \
-v /PATH/TO/IDENTITY:/root/.local/share/storj/identity \
odarriba/storj-multinode-dashboard
```Then, you need to generate the initial configuration:
```
$ docker run --rm \
-v /PATH/TO/IDENTITY:/root/.local/share/storj/identity \
-v /PATH/TO/CONFIG:/root/.local/share/storj/multinode \
odarriba/storj-multinode-dashboard setup --console.address 0.0.0.0:15002
```***Note:** we are changing the listening address because it will be working inside a
Docker container. It is explained in the security considerations below.*and start the service:
```
$ docker run --rm \
-v /PATH/TO/IDENTITY:/root/.local/share/storj/identity \
-v /PATH/TO/CONFIG:/root/.local/share/storj/multinode \
-p 127.0.0.1:15002:15002 \
odarriba/storj-multinode-dashboard
```After those steps you have your identity and configuration generated, and you
can access the dashboard on your local port 15002.## Generate node API keys
To add your nodes, you can generate an API key on each one using the command:
```
$ docker exec -it storagenode \
/app/storagenode issue-apikey --log.output stdout \
--config-dir config --identity-dir identity
```## Security considerations
One of the steps described on this README consists in creating the configuration
file passing a different parameter: `--console.address 0.0.0.0:15002`.
That configuration changes how the Multinode Dashboard listens for requests, and
allows anyone to call your dashboard.This is required because the executable is running inside a Docker container and
due to the Docker networking stack the requests you make to `localhost:15002`
are no longer localhost requests.**So it is strongly recommended that you avoid exposing this port to public Internet**
to avoid having third parties looking at your dashboards and exploiting future
attacks that may (or not) arise in Storj software.On the example above we are avoiding exposing the port to Internet using the
parameter `-p 127.0.0.1:15002:15002`, but it can be easily changed at your own
risk to expose it to outside your computer/server.## Development
This image is ready to do make cross-architecture builds. I'm currently using
`buildx` for that, using this command line:```
$ docker buildx build --platform linux/arm/v7,linux/arm64/v8,linux/amd64 --push --tag odarriba/storj-multinode-dashboard .
```However, this is not really necessary unless you are making this kind of builds.
To build the container for your machine, just use the `docker build` command as
usual.