云资源浪费检测完整清单

平均浪费率
15-32%
云总支出
常见浪费
5-8种
类型
识别工具
自动
扫描发现
ROI 周期
1-3个月
回收投资

$ aws ce get-cost-and-usage --time-period Start=2025-01-01,End=2025-05-01 --metrics UnblendedCost --group-by Type=TAG,Key=ResourceType

根据 Gartner 和 Flexera 的报告,平均 15-32% 的云支出是浪费——也就是说,你可能每花 100 块钱就有 15-32 块打了水漂。今天我们整理了一份完整的云资源浪费检测清单,帮助你系统性地识别和消除浪费。

为什么云浪费如此普遍?

一、Compute(计算资源)浪费

EC2/VM 相关

检查脚本

# AWS:识别低利用率实例
aws ce get-cost-and-usage \
  --time-period Start=2025-01-01,End=2025-05-01 \
  --granularity DAILY \
  --metrics "UnblendedCost" "UsageQuantity" \
  --filter file://filter.json

Auto Scaling 问题

二、Storage(存储资源)浪费

EBS / Managed Disks

S3 / Blob Storage

Database 存储

三、Network(网络资源)浪费

四、Database 服务浪费

五、安全和合规浪费

自动检测工具推荐

AWS 原生工具

第三方工具

浪费检测行动清单

ROI 计算

假设你每月云支出 $100,000:

云成本优化是最快看到 ROI 的技术投资——只需要系统性地运行这份清单,就能发现并消除大量浪费!

下一步:立即打开你的云控制台,从 Cost Explorer 开始今天的浪费检测之旅。
$ share --net https://981263.xyz/S-003-Cloud-Waste-Checklist.html

Practical review before using this page

The S 003 Cloud Waste Checklist resource should be read together with the rest of Cloud Cost Optimization Dashboard, not as an isolated shortcut. Before acting on the page, write down the current baseline, the assumption you are making, and the result you expect to see. This makes the page more useful for comparison and reduces the chance of changing several variables at once.

For FinOps planning, cloud cost allocation, rightsizing, tagging governance, and monthly cost review, a good review habit is to separate stable facts from estimates. Stable facts might include dates, page URLs, account names, measured values, or the exact checklist items you completed. Estimates should be labeled as estimates and revisited later. If the result affects money, health, safety, compliance, or operational risk, use the page as preparation for a more careful review rather than as the final authority.

Common mistakes to avoid

Use this page as a planning reference before changing cloud accounts. Confirm pricing, contracts, and technical limits in the relevant provider console because cloud terms can change.