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TECH TALK
Dave Russell, Vice
President for Product
Strategy at Veeam
deployment models for your data will
expand with an increasing mix of on-
premise, SaaS, IaaS, managed clouds and
private clouds.
Over time, we expect more of the
workload to shift to off-premises, but this
transition will take place over years, and
we believe that it is important to be ready
to meet this new reality today.
• Flash memory supply shortages and
prices will improve in 2019. According
to a report by Gartner in October this
year, flash memory supply is expected
to revert to a modest shortage in mid-
2019, with prices expected to stabilise
largely due to the ramping of Chinese
memory production.
Greater supply and improved pricing will
result in greater use of flash deployment in
the operational recovery tier, which typically
hosts the most recent 14 days of backup
and replica data. We see this greater flash
capacity leading to broader usage of
instant mounting of backed up machine
images (or copy data management).
Systems that offer copy data
management capability will be able to
deliver value beyond availability, along
with better business outcomes. Example
use cases for leveraging backup and
replica data include DevOps, DevSecOps
and DevTest, patch testing, analytics
and reporting.
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INTELLIGENTCIO
• Predictive analytics will become
mainstream and ubiquitous. The
predictive analytics market is forecast
to reach US$12.41 billion by 2022,
marking a 272% increase from 2017, at
a CAGR of 22.1%.
Predictive analytics based on telemetry
data, essentially Machine Learning (ML)
driven guidance and recommendations is
one of the categories that is most likely to
become mainstream and ubiquitous.
Machine Learning predictions are not new,
but we will begin to see them utilising
signatures and fingerprints, containing
best practice configurations and policies,
to allow the business to get more value
out of the infrastructure that you have
deployed and are responsible for.
Predictive analytics, or diagnostics, will
assist us in ensuring continuous operations,
while reducing the administrative burden
of keeping systems optimised. This
capability becomes vitally important as
IT organisations are required to manage
an increasingly diverse environment, with
more data, and with more stringent service
level objectives.
As predictive analytics become more
mainstream, SLAs and SLOs are rising
and businesses’ SLEs, Service Level
Expectations, are even higher. This means
that we need more assistance, and more
intelligence in order to deliver on what
the business expects from us.
• The ‘versatalist’ (or generalist) role
will increasingly become the new
operating model for the majority of IT
organisations. While the first two trends
were technology-focused, the future of
digital is still analogue: it’s people. Talent
shortages combined with new, collapsing
on-premises infrastructure and public
cloud + SaaS, are leading to broader
technicians with background in a wide
variety of disciplines, and increasingly a
greater business awareness as well.
Standardisation, orchestration and
automation are contributing factors
that will accelerate this, as more capable
systems allow for administrators to take
a more horizontal view rather than a
deep specialisation.
Specialisation will of course remain
important but as IT becomes more
fundamental to business outcomes,
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