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AWS for Backend Developers (EC2, S3, RDS, Lambda) · Lesson

S3 Lifecycle Policies and Storage Classes

Learn how to use S3 storage classes and lifecycle rules to automatically move data to cheaper tiers and reduce storage costs over time.

S3 Lifecycle Policies and Storage Classes is a free AWS for Backend Developers (EC2, S3, RDS, Lambda) lesson on CoddyKit — lesson 4 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the AWS for Backend Developers (EC2, S3, RDS, Lambda) learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.

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.json

Filtering 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.

Frequently asked questions

Is the “S3 Lifecycle Policies and Storage Classes” lesson free?

Yes — the full text of “S3 Lifecycle Policies and Storage Classes” is free to read here on the web, and the AWS for Backend Developers (EC2, S3, RDS, Lambda) course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the AWS for Backend Developers (EC2, S3, RDS, Lambda) course, upgrade to CoddyKit PRO.

What will I learn in “S3 Lifecycle Policies and Storage Classes”?

Learn how to use S3 storage classes and lifecycle rules to automatically move data to cheaper tiers and reduce storage costs over time. You practise AWS for Backend Developers (EC2, S3, RDS, Lambda) with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start AWS for Backend Developers (EC2, S3, RDS, Lambda)?

No prior experience is required. AWS for Backend Developers (EC2, S3, RDS, Lambda) on CoddyKit is structured for beginners through advanced learners; this is — lesson 4 of 4, so you can start here or from the beginning and move at your own pace.

How long does the “S3 Lifecycle Policies and Storage Classes” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this AWS for Backend Developers (EC2, S3, RDS, Lambda) lesson?

Yes. Every AWS for Backend Developers (EC2, S3, RDS, Lambda) lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

All lessons in this course

  1. S3 Cross-Region Replication
  2. S3 Static Website Hosting
  3. S3 Event Notifications
  4. S3 Lifecycle Policies and Storage Classes
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