Cluster API: Improve feedback when things go wrong
- 主要言語
- Jupyter Notebook
- スター
- 2.6k
- フォーク
- 1k
- PR マージ指標
- 30日以内にマージされた PR はありません
説明
The Cluster API traps stdout/stderr of controller and engines because it's meant to be used interactively. But that's where information about why connection failures occurred is going to be, and it's frustrating to need to start a whole new cluster with `log_level=logging.DEBUG` to get a run with output you can see.
It would be good to be able to get this info after a process died that you *didn't* expect to. The answer to this is probably to pipe process output to a *file* and keep track of that file and provide an API to retrieve it.
コントリビューションガイド
調査の方向性
Start at the Cluster API's handling of controller and engine stdout/stderr, and trace how output is currently trapped or exposed. Done means unexpected process output is retained in a file and can be retrieved through a defined API after the process dies.
索引モデルが issue の本文から書いたものです。
評価
- 技術スタック
- python
- 領域
- api, distributed-systems
- issue の種類
- 機能追加
- 難易度
- 5/5
- 見積もり時間
- 1週間以上
- 活発さ
- 停滞
- 明瞭さ
- おおむね明確
- 初心者へのやさしさ
- 30/100