---
title: "Public Cloud Learning Sessions - Best practices for EC2 cost optimization in AWS"
type: source
tags:
  - AWS
  - EC2
  - Cost-Optimization
  - FinOps
date: 2024-05-29
---

## Source File
- [[raw/Cloud & DevOps/Public-Cloud-Learning-Sessions/05_FinOps/public-cloud-learning-sessions-best-practices-for-ec2-cost-optimization-in-aws-2.md]]

## Summary
- 核心主题：AWS EC2 成本优化最佳实践
- 问题域：云成本控制、计算资源优化
- 方法/机制：Graviton 迁移、Spot 实例利用、购买选项选择
- 结论/价值：通过架构优化和正确的实例类型选择，可显著降低 EC2 成本

## Key Claims
- Graviton 实例比同类 x86 实例提供最高 40% 的性价比优势
- Graviton 处理器比同类 x86 实例减少最多 60% 的功耗
- EC2 Spot 实例相比按需定价最高可节省 90% 成本
- 云效率架构使客户只需为实际使用的资源付费

## Key Quotes
> "When we start talking about architecting and using best practice efficiency in the cloud, you effectively only pay for what you use when you use AWS." — AWS 专家

> "Graviton Free actually uses up to 60% less power consumption than comparable X86-based instances." — AWS 专家

## Key Concepts
- [[Graviton]]：AWS 基于 ARM64 架构的处理器，提供更高性价比和更低功耗
- [[EC2-Spot-Instances]]：利用闲置容量，最高可享 90% 折扣的实例类型
- [[Savings-Plans]]：AWS 预留容量定价模型
- [[EC2-Instance-Types]]：AWS 提供超过 750 种实例类型满足各种工作负载需求
- [[AWS-Nitro]]：AWS 自研系统，将网络、存储和安全功能外置以提升效率
- [[Cost-Optimization]]：云成本优化策略

## Key Entities
- [[AWS]]：云计算服务提供商
- [[Mike-Dukes]]：AWS 专家，演讲者
- [[Steele-Taylor]]：AWS 专家，演讲者
- [[Public-Cloud-Learning-Sessions]]：AWS 内部学习会议系列

## Connections
- [[AWS]] ← hosts ← [[Public-Cloud-Learning-Sessions]]
- [[Graviton]] ← is_type_of ← [[EC2-Instance-Types]]
- [[EC2-Spot-Instances]] ← offers_discount ← [[AWS]]
- [[Cost-Optimization]] ← applies_to ← [[EC2]]
- [[Spot-Interruption]] ← risk_of ← [[EC2-Spot-Instances]]

## Contradictions
- 与传统预留实例相比，Spot 实例不适合有状态服务（如数据库），需根据工作负载特性选择