Reimagine File Services With Nutanix Acropolis File Services
It's time to rethink file services and the requirements for the cloud era. Learn how Acropolis File Services combines the best attributes of NAS and the public cloud.
It provides us with the performance we need for our Oracle environment, simple management, and all of the visibility we need to effectively understand what is happening with our database operations. Learn More
Nutanix incorporates a wide range of storage optimization technologies that work in concert to make efficient use of available capacity for any workload. Deduplication and compression technologies are intelligent and adaptive to workload characteristics, eliminating the need for manual configuration and fine-tuning. Erasure coding offers deterministic capacity savings regardless of workload characteristics.
Performance Tier Deduplication
Removes duplicate data in the content cache (SSD and memory) to reduce the footprint of an application’s working set, enabling more working data to be managed in the content cache for better performance.
Capacity Tier Deduplication
Global, post-process MapReduce deduplication reduces repetitive data in the capacity tier to increase the effective storage capacity of a cluster.
Easily configured and managed at vdisk granularity for fine-grained control.
Increase Capacity by up to 4x
Data compression can be enabled as an inline capability as data is written to the system, or post-process as a series of MapReduce jobs after the data has been written, eliminating any impact on write path performance.
Leverage All Resources
Unlike traditional architectures where compression operations run on one or two CPUs, Nutanix compression runs on each node in the cluster to leverage all system compute and memory resources.
Compress a Variety of Data Types
Nutanix uses the Snappy compression algorithm to compress a variety of data types more efficiently, and includes the option to compress data at the sub-block level for greater simplicity.
Erasure Coding with Nutanix EC-X
Resilience with Capacity Efficiency
A mathematical function is applied around a data set to calculate parity blocks, which can then be used to recover data in the event of a failure.
Nutanix systems switch between data replication for hot data and erasure coding for cold data based on I/O frequency to optimize performance and storage.
This patent-pending algorithm distributes coding and rebuilds across the entire cluster to reduce vulnerability windows in the event of failures, and maintains data locality.
See for Yourself
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