Stop Paying Standard Rates for Cold Data
Most GCS data lands in the Standard storage class by default, regardless of how often it's actually accessed — an expensive fit for logs, backups, and historical data. Sedai continuously analyzes object-level access patterns and recommends the lowest-cost storage class that still meets your needs.
Storage Class Shouldn't Be an Accident.
GCS defaults nearly everything to Standard, the class built for frequently accessed data — which makes it the most expensive place for data that isn't.
Default settings don't account for access frequency.
Default settings don't account for access frequency. Logs, backups, and historical analytics data often sit in Standard long after anyone actually needs fast access to them.
The right tier depends on a pattern, not a one-time decision.
Nearline, Coldline, and Archive each fit a different access frequency, and that frequency changes as data ages.
Tracking access patterns object-by-object isn't practical manually.
Without continuous visibility, dormant data stays in an expensive tier well past the point it should have moved.
How We Help
Continuous Access Pattern Analysis
Sedai monitors access frequency across every object in your buckets as an automated background process — no manual auditing of storage patterns required.
Storage Class Transition Recommendations
Based on observed access patterns, Sedai recommends the right tier (Standard, Nearline, Coldline, or Archive) so each object sits in the lowest-cost class that still fits its use.
Lifecycle Rule & Bucket-Level Insights
Sedai flags existing lifecycle rules that could transition dormant data sooner, and identifies entire buckets where a different default storage class would save money.