Setting for block blobs in standard accounts (Hot, Cool, Cold or Archive). Cooler tiers cost less to store but more to access.
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In the Ultra Transcenders books
Each book explains Access tier in context, with comparison tables and the common traps.
Terms in this definition
- Standard deployment type
A Foundry deployment type billed per token that keeps processing of prompts and responses inside the Azure geography of the resource, meeting data residency needs at lower volumes.
- AGDLP
Nesting pattern: users go into global groups, which go into domain local groups, which receive the permissions. AGUDLP adds universal groups for forests with several domains.
- Hot
The online blob access tier where storing data costs the most but accessing it costs the least.
- Cool
Online blob tier that is cheaper than Hot to store data in but dearer to access.
- Cold
Online access tier for blobs that costs less to store than Cool but more to read, while data stays instantly available.
- Archive
Offline access tier for blobs, cheapest to store yet dearest to access. Reading a blob means rehydrating it first, which can take as long as 15 hours.
Related terms
- Archive tier
An offline blob access tier offering the cheapest storage, meant for data that is hardly ever read. Archived blobs must first be rehydrated to the Hot, Cool or Cold tier, which may take as long as 15 hours, before you can read or change them, and ZRS, GZRS and RA-GZRS accounts can't use this tier.
- Lifecycle management
Blob Storage policy whose rules delete blobs, or shift them to another access tier, once they reach an age counted from creation, modification, last access or last tier change. GPv2 and legacy BlobStorage accounts support it, as do premium block blob accounts for deletion only.
- Performance tier
Choice made when a storage account is created and not changeable afterwards: Standard (HDD-based GPv2) or Premium (SSD) for latency and throughput. To cut costs for cold data, change the access tier instead.
- Transaction optimized
A pay-as-you-go access tier for Azure Files where storing data costs the most but transactions cost the least, which suits the early phase of a migration.