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---
title: "Public Cloud Learning Sessions- Reducing Cloud Costs - 20250318"
type: source
tags:
- AWS
- Cost-Optimization
- FinOps
date: 2025-03-18
---
## Source File
- [[raw/Cloud & DevOps/Public-Cloud-Learning-Sessions/05_FinOps/public-cloud-learning-sessions-reducing-cloud-costs-20250318-170100-meeting-reco.md]]
## Summary
- 核心主题云成本优化FinOps
- 问题域:公有云成本控制与优化
- 方法/机制:工作负载优化(现代化+Right Sizing、费率优化承诺使用折扣
- 结论/价值通过现代化升级、Right Sizing 和承诺折扣可显著降低云支出
## Key Claims
- 新一代实例通常比旧代更便宜性能更优M6 之后定价模型有变化)
- 从 Intel 迁移到 AMD 可节省 6-10% 按需价格
- Graviton 实例可为 Linux 工作负载节省 20-25% 成本
- GP2 升级到 GP3 可直接节省 20% 成本,无需停机
- EKS 集群升级到最新版本可避免高额的扩展支持费用
- Spot 实例可提供高达 90% 的折扣
- Right Sizing 可通过配置实例调度节省 40% 成本
- 承诺计划最低交易价值为每年 5,000 美元
## Key Quotes
> "Whenever there's a new family launched by the hyperscale, the latest families are almost cheaper." — Vinay, FINOPS team
> "Rather than spending up unnecessary moment on the extended support, you can deploy additional four or five cluster, right." — 关于 EKS 升级成本
## Key Concepts
- [[Workload Optimization]]:通过现代化和 Right Sizing 优化工作负载资源配置
- [[Rate Optimization]]:基于承诺使用获取费率折扣
- [[Right Sizing]]:识别正确的资源规格以匹配工作负载需求
- [[Savings Plans]]AWS 承诺使用折扣计划
- [[Reserved Instances]]:预留实例,承诺使用折扣
- [[Spot Instances]]:竞价实例,最高可达 90% 折扣
- [[Graviton]]AWS ARM 架构实例,节省 20-25% 成本
## Key Entities
- [[AWS]]:云服务提供商
- [[FINOPS Team]]:云财务管理团队
- [[EKS]]Amazon Elastic Kubernetes Service
- [[EC2]]Amazon Elastic Compute Cloud
## Connections
- [[AWS]] ← provides ← [[EC2]]
- [[AWS]] ← provides ← [[EKS]]
- [[FINOPS Team]] ← owns ← [[Rate Optimization]]
- [[Workload Optimization]] ← includes ← [[Right Sizing]]
- [[Workload Optimization]] ← includes ← [[Modernization]]
## Contradictions
- 认知误区:认为新一代实例更贵 — 实际上新代实例通常更便宜且性能更好
- EKS 定价变化M6 之后 M7/M8 定价略高,需要根据实际情况评估