Let's add a cheetseet reference for better use of the backend.ai.
- Dominant language
- Python
- Stars
- 670
- Forks
- 183
- Avg merge
- 15h 13m
- Merged PRs (30d)
- 368
Description
\*Is your feature request related to a problem? Please describe.\*Googling 'cheat seat' is a basic routine for many programmers who use a new command-line tool for the first time.But backend.ai doesn't have any cheat-seat like pages or images.
\*Describe the solution you'd like\*Adding cheat seat pages or images on docs.
**Additional context**
Check out the links below.[gcloud cheatseet](https://cloud.google.com/sdk/docs/cheatsheet)[GCP cheatseet](https://cloud.google.com/blog/products/gcp/5-google-cloud-product-cheat-sheets-2021)[Kubernetes cheatseet](https://kubernetes.io/docs/reference/kubectl/cheatsheet/)
A cheatseet image example.
JIRA Issue: BA-287
Contributor guide
Research direction
Review the existing documentation and the linked gcloud, GCP, and Kubernetes cheat sheets to understand the expected format and scope. Done means adding a Backend.AI cheat-sheet page or image that documents useful command-line usage and is included in the documentation.
Written by the indexing model from the issue text.
Assessment
- Domain
- cli, documentation
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100