Industry executives and experts share their predictions for 2020. Read them in this 12th annual VMblog.com series exclusive.
By Steve
Litster, Chief Technology Officer, Markley Group
The Secure, Geo-Distributed Network
2019 has been a boom year for data.
Organizations have continued to create more data, year over year, than ever
before. But as those of us in the information technology business know, it has,
arguably, also been a bust year for data. As data proliferates across
on-premise networks and into public cloud services and edge computing
environments, organizations are more susceptible to security issues and data
leakage.
In that vein, in the year ahead, it's my
prediction that data security will be a central theme affecting every aspect of
the IT environment in ways we've never seen - IT consumers will enter a new age
of security-consciousness; more data living at the edge will simply expand our
already large attack surface; the concept of the data center must grow to
accommodate a geo-distributed, multi-cloud secure network; and more.
Here are my thoughts for the year ahead:
The Security-Conscious
Consumer. Historically, the drive toward secured
networks has come from companies and the security-minded folks within those
companies. More and more individuals are recognizing the need for security and
are starting to demand it of the companies they do business with.
"Cloud
1st" is Dead. Hybrid will be the dominant model, with
cloud repatriation of some existing workloads and more careful ongoing analysis
of what runs in the cloud. Users become "Cloud Smart," recognizing that, for
many workloads and/or a required computing run-rate level, public cloud is more
costly than operating it yourself with on-premises and colocated solutions.
Containerized
Applications Come of Age. Tools and technologies
reduce the friction of developing, onboarding, and managing a new generation of
portable apps. Hybrid ecosystems become more seamless through increased
container-based automation and migration tools.
Edge
Computing Heightens Security Concerns. The
proliferation of IoT initiatives plus growing horsepower and data stores at the
edge significantly increase the attack surface organizations must resolve and
evolve to protect.
Zero
Trust Pervades the Internal Network. Data privacy and
security concerns impel the hardening of internal infrastructure to include
data encryption both in-flight and at-rest. Hybrid architectures force IT
organizations to re-evaluate their concept of the 'internal network' and
consider Internet-independent private network alternatives.
IT
Services and Communications Far Exceed Platforms (HW/SW) Spend. Chronic skills shortages and increasing demand for secure, high
bandwidth, wide area networking technologies (SD-WAN, 5G, IoT) drive increased
demand for IT services and managed network services.
Ransomware
Rears its Ugly Head. Though it never really went away,
high profile ransomware attacks make worldwide headlines forcing refocus and IT
investments in ransomware mitigation, data protection, and recovery.
The
Data Deluge Continues Unabated. Increasing data stores
of unconfirmed value exacerbate data management and curation challenges. Both
IT and lines of business search for better solutions to evaluate and manage
data life cycles.
Object
Storage Reborn. More and more applications supporting
S3 protocol will drive mainstream adoption as a storage interface for both
on-prem and in-the-cloud applications. High performance, high-density object
storage will start to trickle on to the market and find application in large
scale data analytics and HPC workloads.
The AI
Bloom is Off the Rose. AI
will hit the trough of disillusionment and stall as skills shortages, limited
access to clean data, and lacking proof of correctness impede widespread
adoption.
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About the Author
Steve
Litster, Ph.D, is the Chief Technology Officer at Markley Group. Steve has more
than twenty years of experience in designing enterprise infrastructure, large
scale networks, and scalable cloud-based solutions, and helps to shape
Markley's strategies and solutions to meet organizations' emerging requirements
to address an increasingly connected and data-driven world. Most recently, he
was the Global Lead for Scientific Computing at Novartis Institutes for
BioMedical Research. Steve has also held positions at Vertex Pharmaceuticals
and Harvard University.