
Virtualization and Cloud executives share their predictions for 2016. Read them in this 8th Annual VMblog.com series exclusive.
Contributed by Lance Smith, CEO of Primary Data
Five Trends Changing Storage
In
all my years in technology, I have never seen as much rapid change to a segment
as enterprise IT is currently experiencing. Every part of the IT stack is in
transition, from end user devices to networks to storage systems. Many trends
are well underway and show signs of accelerating in 2016, while others are just
starting to emerge. Either way, enterprise IT is an
exciting place to be right now. Let's look at what I see as five of the most
significant trends in enterprise storage for 2016.
Analytics, cloud computing, flash memory, software
and DevOps will be key catalysts of change in 2016.
Analytics Will Incorporate
the Internet of Things
Enterprises
are storing and analyzing more data than ever before-and they almost never
delete it. At the same time, analytics platforms like Hadoop are being used to crunch
through all this data to shorten time to insight and decisions. Analytics has
long been used to mine colder data, but enterprises are now seeing significant
value in analyzing active, often highly transient data, to achieve real-time
insight. The problem is that neither speed nor accuracy can be sacrificed, whether
an electronics manufacturer is analyzing how customers are using televisions or
a media outlet is analyzing viewers' browsing habits for real-time ad
placement. In 2016, we can expect to see surging interest in technologies like Apache Kafka, which can collect data from multiple
sources, including the Internet of Things (IoT), and make it available to
enterprises.
Flash Will Come to Fruition
Flash is too
expensive to use for all of an enterprise's primary data, yet it's necessary to
deliver the real-time response times that today's critical enterprise
applications require. During 2016, we can expect to see increasing adoption of technologies
that make efficient use of flash. These technologies include deduplication and
compression software to better use expensive capacity, converged and hybrid
storage systems that can tier data between disk and flash, as well as data
virtualization that enable the enterprise to globally pool and move data across
all storage systems, from in-server flash to SAN and NAS systems to the cloud. In
2016, these advances, paired with dropping flash prices, will result in enterprises
storing much more active data on flash.
The Clouds Will Clear
As
enterprises grapple with the explosion of data sources and the volume of data that
they need to store, we should see remarkable advances in cloud technologies and
cloud implementations. While private clouds give enterprises security and
speed, enabling them to deliver IT as a service, public clouds offer resources
on demand and significantly reduced costs to store colder data. Enterprises
really need both capabilities, which is why Gartner expects nearly half of enterprises to have hybrid cloud
deployments by the end of 2017.
To make the best use of a hybrid cloud, enterprises must be able to manage and
move data seamlessly across private and public clouds, as well as legacy
storage. They must also be able to move and store data in public clouds
securely. Consequently, I expect we will see big advancements in data
management that spans clouds and enterprise datacenters, as well as public and
hybrid cloud security solutions.
Software Will Define Everything
Each of these
three trends, analytics, flash, and the cloud, all increase capability.
However, without the ability to manage the data in a unified way, they add more
storage silos while increasing cost and complexity. The only way enterprises
can cost-effectively manage all of these new technologies is by implementing
software that can automate provisioning and management end-to-end. Virtualizing
the entire datacenter will become a must. During 2016, I expect we'll see
significant advances and interactions between network and data virtualization
technologies. Hardware will become increasingly commoditized as software
intelligence is moved up the stack to centralize management. In fact, I expect
this software to continue moving up the stack through 2017-18, to the point
where enterprise IT can deliver "as a service" offerings that combine app,
network, and storage into cost transparent packages that admins can deploy
automatically (think container like).
DevOps Deployments Will
Change Corporate Culture
From software
defined storage and networking, to low power microcontrollers that enable IoT, to
machine learning, innovative technologies promise significant value and
competitive advantages to enterprises that can adopt them quickly. In 2015, DevOps grew, increasing the ability of
enterprises to adapt and test new technologies and deploy them at a much faster
pace. In 2016, we can expect to see the role of DevOps continue to expand. More
importantly, as enterprises begin to see the impact of these more rapidly
deployed technologies, we will begin to see corporate IT more readily embrace
new technology. The result will be an accelerated pace of enterprise IT
innovation.
The Road Ahead
The enterprise
IT industry has never seen such rapid change. Unprecedented data growth is
exacerbating problems the enterprise has been dealing with for decades. But the
pace of technology innovation to address these problems is equally
unprecedented. 2016 looks to be a year when many of these technologies are put
to the test and refined. I expect we'll see industry advances not seen since the
days of server virtualization, and I'm excited to be part of the incredible IT
industry that is helping them unfold.
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About the Author
Lance Smith is CEO of
Primary Data, who you can follow on Twitter for more information on data
virtualization: @Primary_Data