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Optimize resource discovery/collection

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难度
4/5
预计耗时
3-5 天
新手友好度
45/100
Issue 类型
功能
描述清晰度
基本清楚
活跃度
活跃
技术栈
go, kubernetes

调研方向

首先跟踪规则集加载和资源发现路径,然后检查已发现对象的获取方式以及它们如何保存在内存中。使用已加载的内置规则和自定义规则来识别所需的资源类型,跳过无关资源,并对剩余的发现结果进行分页。完成的标准是:大型集群不再需要收集无关资源,并且现有的弃用检查仍能正常工作。

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描述

enhancement triage

Is your feature request related to a problem? Please describe.
Pluto currently appears to pull all API resource types from a cluster, followed by all objects matching those types, in an unpaginated list. In a large cluster with a significant number of resources, many of them unrelated to the rules/deprecations being checked, this leads to high memory usage.

Describe the solution you'd like
Short version: only pull the resources that appear in the ruleset we loaded, so we don't use as much memory.

Long version / suggestion:

  • After loading the ruleset (built-in deprecations and custom/user-defined), build a list of resource types we need to check
  • Only pull the resources that actually need to be checked (this can avoid loading thousands of events, for example)
  • Paginate discovery of the remaining resource types, discarding ones we don't need before fetching the next set

Describe alternatives you've considered

  • Smaller clusters with fewer resources: it's currently not feasible for me to reduce the number of resources in my cluster.
  • Give pluto more resources: I've more than tripled the resources I gave to pluto to run against a cluster, I can technically keep going but improving the collection logic is more efficient

Additional context
N/A

主要语言
Go
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环境准备

从这里开始

  1. 先读完整个 Issue,再读项目的贡献指南。
  2. 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

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