S3 生命周期策略与存储类别
学习如何使用 S3 存储类别和生命周期规则，自动将数据移至更低成本的层级，逐步降低存储成本。
S3 生命周期策略与存储类别 是 CoddyKit 上的免费 AWS for Backend Developers (EC2, S3, RDS, Lambda) 课时。 这是第 4 节课，共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 AWS for Backend Developers (EC2, S3, RDS, Lambda) 学习路径的一部分，你的进度在网页和 CoddyKit 应用中同步。 AWS for Backend Developers (EC2, S3, RDS, Lambda) 课程共包含 4 节课。
本课时的部分内容尚未翻译，以英文显示。
Why Storage Classes Exist
Not all data is accessed equally. Recent uploads may be read constantly, while year-old logs are rarely touched.
S3 storage classes let you match storage cost to access frequency.
S3 Standard
S3 Standard is the default: high durability, low latency, frequent access. It is the most expensive per GB but cheapest per request.
Great for active, hot data.
Infrequent Access Tiers
Standard-IA and One Zone-IA cost less per GB but charge a retrieval fee. Use them for data accessed monthly, not daily.
- Standard-IA spans multiple AZs
- One Zone-IA is cheaper but single-AZ
Intelligent-Tiering
S3 Intelligent-Tiering automatically moves objects between access tiers based on usage patterns, for a small monitoring fee. Perfect when access patterns are unpredictable.
Glacier Archive Tiers
For archives you rarely read:
- Glacier Instant Retrieval — milliseconds, cheap storage
- Glacier Flexible Retrieval — minutes to hours
- Glacier Deep Archive — cheapest, hours to retrieve
What Is a Lifecycle Policy?
A lifecycle policy is a set of rules that automatically transition objects to cheaper classes or delete them after a set age, with zero manual work.
A Sample Lifecycle Rule
This rule moves objects to Standard-IA after 30 days, to Glacier after 90, and deletes them after 365 days.
{
'Rules': [{
'ID': 'archive-logs',
'Status': 'Enabled',
'Transitions': [
{'Days': 30, 'StorageClass': 'STANDARD_IA'},
{'Days': 90, 'StorageClass': 'GLACIER'}
],
'Expiration': {'Days': 365}
}]
}Applying the Policy
Attach the lifecycle configuration to a bucket via the CLI.
aws s3api put-bucket-lifecycle-configuration \
--bucket my-logs \
--lifecycle-configuration file://lifecycle.jsonFiltering by Prefix or Tag
Rules can target a subset of objects using a prefix (like logs/) or object tags, so different data types get different lifecycles.
Versioning and Cleanup
In versioned buckets, lifecycle rules can also expire old non-current versions and clean up incomplete multipart uploads, preventing silent cost growth.
Choosing the Right Class
Quick guide:
- Daily access → Standard
- Unknown pattern → Intelligent-Tiering
- Monthly access → Standard-IA
- Rare archive → Glacier tiers
Quick Check
Test your storage knowledge.
Recap
You learned S3 cost optimization:
- Storage classes match cost to access frequency
- Intelligent-Tiering auto-optimizes unknown patterns
- Glacier tiers archive cold data cheaply
- Lifecycle policies automate transitions and deletion
Set it once and S3 quietly lowers your bill over time.
常见问题解答
「S3 生命周期策略与存储类别」课时是免费的吗？
是的 — 「S3 生命周期策略与存储类别」的完整文本可在网页上免费阅读。要进行交互式练习（内置代码编辑器和全天候 AI 导师）并解锁 AWS for Backend Developers (EC2, S3, RDS, Lambda) 课程的其余内容，请升级到 CoddyKit PRO。 AWS for Backend Developers (EC2, S3, RDS, Lambda) 课程共包含 4 节课。
「S3 生命周期策略与存储类别」这节课中我会学到什么？
学习如何使用 S3 存储类别和生命周期规则，自动将数据移至更低成本的层级，逐步降低存储成本。 你通过在浏览器中直接运行的动手代码来练习 AWS for Backend Developers (EC2, S3, RDS, Lambda)，全天候 AI 导师会在你学习这节课的过程中回答你的问题。
学习 AWS for Backend Developers (EC2, S3, RDS, Lambda) 需要有经验吗？
无需任何先前经验。CoddyKit 上的 AWS for Backend Developers (EC2, S3, RDS, Lambda) 课程适合初学者到高级学习者，你可以从这里开始或从头开始，按照自己的节奏学习。 这是第 4 节课，共 4 节。
「S3 生命周期策略与存储类别」课时需要多长时间？
大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动，所以你能稳步进步，并在网页和应用中从离开的地方继续。
我能在这节 AWS for Backend Developers (EC2, S3, RDS, Lambda) 课中编写并运行代码吗？
能。每节 AWS for Backend Developers (EC2, S3, RDS, Lambda) 课都包含内置代码编辑器，你可以在浏览器中直接编写并运行真实代码，并获得即时 AI 反馈 — 无需本地设置。