Envdash is an Infrastructure environment dashboard tool.
The idea is to give groups in your organisation access to see what environment is on what version of the platform release (if you work via releases).
Its lightweight, based on REST commands, so can easily fit into almost any workflow (examples coming).
Envdash is not yet production ready! This is still in a pre-release status.
There are two dashboards (with more improvements coming!)...
One for Environments Overview, and one for Clusters Overview
Overview:
https://localhost:8000/
Environments:
https://localhost:8000/
Clicking on an environment will show a detailed view (shows the linked clusters)

Clusters:
https://localhost:8000/clusters/
root
https://localhost:8000/api
environments
https://localhost:8000/api/environments
clusters
https://localhost:8000/api/environments
users
https://localhost:8000/api/users
Quick example (using admin/admin for username/password):
curl --location --request POST 'http://127.0.0.1:8000/api/environments/' \
--header 'Authorization: Basic YWRtaW46YWRtaW4=' \
--header 'Content-Type: application/json' \
--header 'Cookie: csrftoken=3puWbsMc3aUwzqmmoZ6B25d5LqAwwxyC177x3oOfBM0LHwyFcjij7AAIAaU3vDR3' \
--data-raw '{
"title": "Production001",
"group": "myInternalGroupName",
"location": "AzureNorthEurope",
"description": "This is the main production environment for our company",
"version": "1.0.2"
}'Response:
{
"url": "http://127.0.0.1:8000/api/environments/1/",
"id": 1,
"title": "Production001",
"group": "myInternalGroupName",
"location": "AzureNorthEurope",
"description": "This is the main production environment for our company",
"highlight": "http://127.0.0.1:8000/api/environments/1/highlight/",
"owner": "admin",
"version": "1.0.2"
}Build:
docker build . -t envdashRun:
docker run -it -p 8020:8020 \
-e DJANGO_SUPERUSER_USERNAME=envdash \
-e DJANGO_SUPERUSER_PASSWORD=somePassWordThat1MadeUp? \
-e DJANGO_SUPERUSER_EMAIL=admin@justanexample.com \
envdash
Build easily with:
docker-compose buildThen run up to start
docker-compose upNOTE: This will improve over time You will need to run a terminal session into the pod to create your super user:
python manage.py createsuperuserContributions are always welcome!





