FR: metrics and stats
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评估
- 难度
- 4/5
- 预计耗时
- 3-5 天
- 新手友好度
- 35/100
- Issue 类型
- 功能
- 描述清晰度
- 基本清楚
- 活跃度
- 停滞
- 技术栈
- docker, prometheus
调研方向
Use the issue body as the starting specification and separate the operational metrics request from the index metrics request before investigating the project. Identify where component resource usage and repository indexing outcomes are exposed, then verify that Prometheus-format metrics cover the requested file, repository, duration, success, and failure measurements.
由索引模型根据 Issue 内容生成。
描述
This issue is a request for two things that are related but might end up being implemented very differently.
If you want me to break this up into multiple issues, let me know!
The first ask: basic operational metrics.
Currently, I am running this as a docker container and am using Google's ContainerAdvisor to expose basic metrics around CPU/Memory usage. This works well enough since my primary concern is "did I allocate enough RAM to this or should I add more?!". Since there are multiple processes running inside the container, there's no good way to get insight into the memory/cpu...etc of any one component. Not a concern for my purposes, but I can certainly imagine larger deployments where knowing cpu/disk/memory...etc consumption of node vs zoekt would come in very handy.
For these metrics, standard prometheus format would be ideal / most accessible for everybody.
The second ask: metrics about what's in the index.
- count of files in the index
- number of repos in the index
- how long indexing takes (combined with a counter for number of repos, I can calc average index time per repo...)
- success/fail count per repo (if - suddenly - the number of repos successfully refreshed/indexed inverts with the number of repos that could not be successfully refreshed/indexed, that's an alert that I need to go page somebody to go figure out what's happened to our git server!)
- 主要语言
- TypeScript
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- 3.9k
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- 平均合并
- 21 小时 18 分钟
- 30 天内合并 PR
- 39
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