FEATURE
BUSINESSES
THAT CAN REACT
INSTANTLY
TO CUSTOMER
DEMANDS ARE
THE ONES THAT
REMAIN AHEAD
OF THE CURVE.
Saayman says that storage is becoming
intelligent enough to understand and
interpret different workloads within the
business and adapting to accommodate
them as needed. “Today’s systems can
tweak the way data performs based
on where it is located and how much
demand there is for it in real time,
allocating resources to where they are
needed most. In addition, it can optimise
data so that it adapts to an economic
model that is best for a specific business.
“Intelligent storage goes beyond simply
delivering insights into the organisation,
it also harnesses the power of data
from a plethora of systems and sources,
essentially heralding a new age of
autonomous storage, that is truly context
and self-aware in that it can self-optimise,
self-manage, self-heal,” said Saayman.
The introduction of AI enables intelligent
storage systems to observe and learn
from telemetry data to pinpoint run-of-themill
data problems and deal with them,
he said. “And it takes it a step further, by
predicting where problems might arise,
for example, whether a particular system
will run out of the capacity it needs to
manage a particular load.”
The level of automation we are seeing
today goes beyond data storage and
right to the organisation’s network.
Integration across the full stack
enables intelligent storage to bring real
insights on challenges including server
performance, interconnections, latency
and a host of other crucial issues that
might impact on the smooth running of
the full IT environment.
36 Issue 17
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