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Provide ability to configure Google Cloud Logging as logging handler

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#111 0 則留言 0 個 reaction 已指派 0 人 在 GitHub 檢視

還沒有人認領這個 Issue。

評估

難度
3/5
預估耗時
1-2 天
新手友好度
35/100
Issue 類型
功能
描述清晰度
基本清楚
活躍度
停滯
技術堆疊
gcp, python
領域
observability

研究方向

The issue asks for an optional Google Cloud Logging integration, so the work is to add a logging option, not to change existing behaviour. Start with the GCP structured logging special fields and the LogEntry schema it links, then check how the library currently writes logs to stdout. Done means a configurable output whose severity and message fields Cloud Logging recognises, with tests. The API shape is not settled in the thread, so agree on it with maintainers first.

由索引模型根據 Issue 內容生成。

描述

Quoting the Dockerflow spec:

Optional Recommendations

...
2. Log to stdout in the mozlog json schema.

Many Mozilla service are now being deployed on GCP, and as such use Google Cloud Logging (FKA Stackdriver) to ingest logs.

Google Cloud Logging has its own schema that defines the shape of a structured log, and the fields of this schema affect the presentation of the log in the Logs Explorer.

For example:

  • If GCP does not recognize the severity notation of logged message, it will consider anything emitted to stdout as INFO and anything emitted to stderr as ERROR
  • by providing a message field, only that message is displayed in the log entry line in the explorer, with the ability to unfold entire log message to view other properties. Without it, the entire json object appears on the log line

This library should provide an easy way to integrate Google Cloud Logging's schema into an application. Though engineers could set up this integration themselves, providing an integration through this library provides an easy path to transition should engineers want to make the switch.

主要語言
Python
星號
41
分支
21
PR 合併指標
30 天內沒有已合併 PR

環境準備

這個專案沒有提供開發容器、Dockerfile 或貢獻指南,環境需要你自己搭建:先看它的 README,通用步驟見我們的新手貢獻指南。

從這裡開始

  1. 先讀完整個 Issue,再讀專案的貢獻指南。
  2. 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
  3. Fork 儲存庫,在一個分支上完成修改。
  4. 送出 Pull Request,並在描述裡引用這個 Issue 編號。

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