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What is an all-flash array

A description of the characteristics and details of the all-flash array and what it is capable of. Specs of AFAs, and how they do what they do within the modern data center.

A description of the characteristics and details of the all-flash array and what it is capable of. Specs of AFAs, and how they do what they do within the modern data center.

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toward a future with cloud for clients, <strong>all</strong>-<strong>flash</strong> <strong>array</strong>s with virtualization-aware capabilities are the only <strong>an</strong>swer.<br />

Those <strong>array</strong>s are geared toward housing the building blocks of cloud—virtual machines <strong>an</strong>d containers—without<br />

shuffling between LUNs <strong>an</strong>d volumes.<br />

Added benefits: no more worrying<br />

When you use <strong>all</strong>-<strong>flash</strong> <strong>array</strong>s <strong>an</strong>d the right user interface (UI), you don’t need to worry about storage<br />

capabilities, workload dem<strong>an</strong>ds or suddenly unsupported HDD <strong>array</strong>s. All-<strong>flash</strong> from Tintri solves these <strong>is</strong>sues<br />

with virtualization-aware storage (VAS). You won't need to bite your nails wondering about the software that<br />

runs your <strong>array</strong>s when you choose the Tintri Global Center (TGC) m<strong>an</strong>agement console.<br />

When you're operating cloud, you need <strong>all</strong>-<strong>flash</strong> <strong>array</strong>s <strong>an</strong>d VAS because the building block l<strong>an</strong>guage of the<br />

cloud <strong>is</strong> VMs <strong>an</strong>d containers, not LUNs <strong>an</strong>d volumes. To recognize the building blocks of cloud, you need a Web<br />

services architecture, which connects to compute <strong>an</strong>d network to apply automation policies <strong>an</strong>d share data.<br />

<strong>What</strong>’s next?<br />

VM <strong>is</strong>olation through individual l<strong>an</strong>es<br />

Prevent IO traffic jams by giving each VM its own l<strong>an</strong>e. Speed up processes, preserve perform<strong>an</strong>ce, <strong>an</strong>d never<br />

worry about the level of perform<strong>an</strong>ce you're getting from each individual VM. Select quality of service (QoS)<br />

settings for individual VMs as you w<strong>is</strong>h, <strong>an</strong>d enh<strong>an</strong>ce your over<strong>all</strong> system's agility <strong>an</strong>d speed even more.<br />

Multiple configurations for varied architectural needs<br />

If you're worried about having a flexible architecture capable of scaling out as your venture grows, you c<strong>an</strong> set<br />

that concern aside with the Tintri T5000 All-Flash Array, which <strong>is</strong> available in nine configurations. These<br />

architectures vary in capacity up to 308 TB, which uses groundbreaking 3D NAND, <strong>an</strong>d as m<strong>an</strong>y as 32 VMstores<br />

<strong>an</strong>d 160,000 VMs. All these VMs <strong>an</strong>d <strong>all</strong>-<strong>flash</strong> <strong>array</strong>s are easily m<strong>an</strong>aged from TGC—a single central console for<br />

m<strong>an</strong>aging your whole <strong>all</strong>-<strong>flash</strong> <strong>array</strong> <strong>an</strong>d <strong>all</strong> the VMs within your architecture.<br />

Greater automation through concurrent hyperv<strong>is</strong>ors<br />

A quality <strong>all</strong>-<strong>flash</strong> <strong>array</strong> <strong>an</strong>d VM m<strong>an</strong>agement system <strong>all</strong>ows your enterpr<strong>is</strong>e to run on the most gr<strong>an</strong>ular level<br />

possible. Using multiple concurrent hyperv<strong>is</strong>ors with deep integration for <strong>all</strong>-<strong>flash</strong> storage systems lowers<br />

overhead through superior automation.<br />

Know what's up with apps in real time<br />

Find out where lags ex<strong>is</strong>t with the click of a mouse. With real-time <strong>an</strong>alytics, you c<strong>an</strong> find where latencies ex<strong>is</strong>t<br />

on the VM level, which keeps you from losing time. That me<strong>an</strong>s you'll stay at the head of your class while<br />

competitors use delayed stat<strong>is</strong>tics <strong>an</strong>d outdated data. With Tintri, there’s no more wondering what just<br />

happened because you’ll have <strong>all</strong> the real-time data you need about every event that occurs in every VM,<br />

period.

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