Overcoming Capacity Management Challenges for Accurate Burn Rates and Forecasting

Best Practices for Accurate Capacity Management

Inaccurate or incomplete capacity forecasting and burn rate data often leads to unplanned emergency storage purchases and capacity constraints but managing capacity in a modern datacenter can be a challenging and often manual task.

Data reduction technologies such as thin-provisioning, compression, and deduplication offset this growth somewhat, but the challenge persists. The trend for on-premise storage is to have “just enough” storage to keep operating expenses minimal.

These trends combine to make it necessary to know not only your current storage capacity situation, but also to have the ability to project how much storage will be needed to support future projects and organic growth.

This whitepaper discusses how to overcome these challenges by better leveraging the analytics in your environment for more accurate capacity forecasting and burn rates.

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