Every modern architecture solution requires data saving and optimization techniques to manage their workload efficiently and optimally.
Nutanix HCI provides various techniques for storage optimization based on your workloads. Let us take a look around regarding the techniques to understand the working and best practices.
1. Compression
There are two types of compression available
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Post-process compression
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Inline compression
Want to know how compression works and how to enable it in your cluster? Compression Guide
2. Deduplication
Deduplication reduces space usage by consolidating duplicate data blocks on Nutanix storage.
Want to know more about different types of Deduplication and the best practices of using Deduplication? Deduplication
3. Erasure Coding
Erasure coding increases the usable capacity on a cluster. Instead of replicating data, erasure coding uses parity information to rebuild data in the event of a disk failure. The capacity savings of erasure coding is in addition to deduplication and compression savings.
Want to know more about Erasure coding with an example and it’s best practices? Erasure Coding
Want to read more posts on the community, regarding Erasure coding?
https://next.nutanix.com/how-it-works-22/data-resiliency-efficiently-erasure-coding-33393
Have a question regarding storage optimization techniques in Nutanix? Drop a comment and let’s start a discussion !