Smart Auto-Tiering

ML-driven data lifecycle.

Machine learning automatically moves data between hot, warm, and cold tiers based on access patterns. Save up to 40% on storage costs with zero manual configuration.

🔥 Hot Tier$0.023/GB · Instant⚡ Warm Tier$0.012/GB · Fast❄️ Cold Tier$0.002/GB · Instant🧠 MLML-driven

ML-driven

Engine

Up to 40%

Savings

Zero

Config

Hot/Warm/Cold

Tiers

ML-driven placement.

Zero-config data lifecycle. Up to 40% savings.

ML-powered placement

Models learn your data access patterns and automatically place objects on the optimal tier.

40% cost savings

Customers save an average of 40% by eliminating manual tiering decisions.

Zero configuration

Enable auto-tiering and let ML handle the rest. No lifecycle rules to write.

Transparent access

All objects accessible instantly regardless of tier. No restore delays.

Savings dashboard

See exactly how much you're saving compared to single-tier storage.

Custom overrides

Pin critical objects to hot tier. Set minimum tiers for compliance.

Getting started

Launch your first instance in three steps. CLI, console, or API — your choice.

Terminal
ur storage auto-tier enable my-bucket

Smart storage patterns.

Data lake optimization and backup cost reduction.

Data lake optimization

Automatically tier aging data lake partitions from hot to cold.

View tutorial

Suggested configuration

ML · S3 · Hot/Warm/Cold

Estimate your costs

Create detailed configurations to see exactly how much your architecture will cost. Pay for what you use, down to the second.

Configuration 1

Estimated: $10.80/mo

Auto-Tiering Policy

Capacity

GB

Operations & Transfer

GB
Config 1 cost$10.80

Cost details

$10.80

ML automatically moves data between hot/warm/cold. Save up to 40%.

Configuration 1
$10.80
100 GB Storage$2.30
Data Egress$8.00
Operations$0.50

Works seamlessly with

Object Storage
Storage Insights
Monitoring
IAM
Logging
Lifecycle

Frequently asked questions

Smart data placement.

ML-driven auto-tiering saves up to 40% with zero configuration.