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Azure Storage Growth Calculator

Project Azure storage capacity and cost forward at a compound growth rate with a lifecycle tiering policy applied.

Inputs

TiB
%
months
months

Lifecycle management rules act on the blob's age.

USD/GiB-month
USD/GiB-month

Capacity at the Horizon

202 TiB

Growth Over the Horizon

304.9%

Doubling Time

11.9months

Share Still on the Hot Tier

16.0%

Monthly Cost at the Horizon

$2,352.34

Blended Price per GiB

0.0113USD/GiB-month

Step by step

  1. Values used

    Current capacity = 50 TiB; Monthly growth rate = 6 %; Planning horizon = 24 months; Move data to cool after = 3 months; Hot price per GiB = 0.0184 USD/GiB-month; Cool price per GiB = 0.0100 USD/GiB-month

  2. Azure Storage Growth

    capacity = current × (1 + monthly growth)^months; doubling time = ln2 ÷ ln(1 + growth); data younger than the lifecycle window is the share added in the last months, so hot share = 1 − 1 ÷ (1 + growth)^window.

  3. Capacity at the Horizon

    = 222,592,535,908,930

  4. Growth Over the Horizon

    = 304.9

  5. Doubling Time

    = 11.9 months

  6. Share Still on the Hot Tier

    = 16.0

  7. Monthly Cost at the Horizon

    = 2,352.34

  8. Blended Price per GiB

    = 0.0113 USD/GiB-month

How it works

Storage grows compound, not linear, so 6% a month is a doubling roughly every twelve months. With a lifecycle rule the hot tier only ever holds the data written inside the rule's window, and because growth is exponential that share stays small — which is exactly why tiering keeps the blended price near the cool rate as the dataset expands. Capacity forecasts made by adding last month's growth understate the year-end number badly, and knowing the doubling time tells you when quota, redundancy and lifecycle decisions have to be revisited; confirm per-GiB tier prices for your region and redundancy setting in the Azure pricing calculator.

Formula

Azure Storage Growth

capacity = current × (1 + monthly growth)^months; doubling time = ln2 ÷ ln(1 + growth); data younger than the lifecycle window is the share added in the last months, so hot share = 1 − 1 ÷ (1 + growth)^window.

monthly growth
Compound rate at which the dataset expands each month
lifecycle window
Age at which a lifecycle rule moves a blob to the cool tier
doubling time
Months until the dataset is twice its current size

Frequently Asked Questions

How is Azure Storage Growth calculated?

capacity = current × (1 + monthly growth)^months; doubling time = ln2 ÷ ln(1 + growth); data younger than the lifecycle window is the share added in the last months, so hot share = 1 − 1 ÷ (1 + growth)^window. Storage grows compound, not linear, so 6% a month is a doubling roughly every twelve months. With a lifecycle rule the hot tier only ever holds the data written inside the rule's window, and because growth is exponential that share stays small — which is exactly why tiering keeps the blended price near the cool rate as the dataset expands.

Why does Azure Storage Growth matter?

Capacity forecasts made by adding last month's growth understate the year-end number badly, and knowing the doubling time tells you when quota, redundancy and lifecycle decisions have to be revisited; confirm per-GiB tier prices for your region and redundancy setting in the Azure pricing calculator.

What values do I need to enter?

This calculator takes 6 inputs: Current capacity, Monthly growth rate, Planning horizon, Move data to cool after, Hot price per GiB, Cool price per GiB. The pre-filled defaults are a realistic starting point — replace them with figures from your own environment for a result you can act on.

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