Replies posted by nsegalle

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C
Nutanix Employee
chhedaNutanix Employee
posted in AHV Virtualization

Storage Efficiency, Data Reduction, and Performance with Compression

I am confused by this statement - - [i]"Large and sequential reads and writes also see a performance benefit from compression, so there are very few workloads where inline compression (compression delay = 0) isn’t appropriate. It’s even recommended for Tier-1 workloads such as Oracle, Microsoft SQL Server and Exchange. Inline compression additionally improves performance within the capacity tier (Extent Store) while maximizing total available storage capacity."[/i] This statement seems to be a direct contradiction to - - "Compression Best Practices" - - https://portal.nutanix.com/#/page/docs/details?targetId=Web_Console_Guide-Prism_v4_7:sto_compression_c.html - - [i]"Compressing data is computationally expensive, while decompressing data is less so. From this fact it follows that workloads where data is written once and read frequently, such as user data storage, are most suitable for compression. Examples of such workloads are file servers, archiving, and backup.[/i] [

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Bladerunner
6 years ago

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