Every Byte, Priced for How Often It's Used
Blob Storage defaults to the Hot tier regardless of access frequency, and nobody revisits that decision as data ages. Sedai continuously analyzes access patterns, manages lifecycle policies, and moves data to cooler tiers — accounting for retrieval costs — so every byte lands where it actually saves money.
Storage Tiers Only Save Money If Something Moves the Data
Hot is the default tier for a reason: nobody wants a performance problem, But that default rarely gets revisited. As data cools, the gap between what you're paying and what you could be paying only grows.
Data lands in the Hot tier by default and stays there.
Most data doesn't need Hot-tier performance for its entire lifecycle, but without an active process to reassess it, infrequently accessed data keeps paying premium storage rates indefinitely.
Tiering decisions don't stay accurate on their own.
Access patterns shift as data ages, and manually reviewing usage and moving blobs between Hot, Cool, and Archive tiers across a large environment isn't something a team can sustain continuously.
The cost of inaction compounds quietly.
Backup and archival data left in the Hot tier can cost twice what the same data would in Archive — savings that simply accumulate as waste until someone actively intervenes.
How We Help
Data-Driven Tiering Analysis
Sedai analyzes read/write patterns via Azure Monitor to identify cold data, weighing storage savings against retrieval costs so every move results in net savings.
Automated Lifecycle Policy Management
Sedai creates lifecycle policies where none exist, or refines existing ones, to automatically transition blobs to cooler tiers based on age or last access.
Intelligent Tiering Enablement
Sedai can enable Azure's Intelligent Tiering feature directly, running safety checks first to confirm the storage account is in a valid state.