Why edge computing is critical to hybrid IT and cloud success
IS CRITICAL TO
HYBRID IT &
Data – generated by machines and
humans alike – is growing at a massive
rate and demands high performance.
Traditionally, IT teams decide the
information that stays local.
However, the model
There’s too much data growth to keep it
all local, yet sending data to the cloud
introduces performance issues, latency
challenges and high access costs.
Distributed architectures help bring data
to the edge of networks, where it can be
analyzed and interacted with in real time
– as if it were local.
Gartner has recommended bringing
edge computing to the
enterprise data center
to achieve the
full value of hybrid IT.
Companies and colocation
providers have much to gain
from the edge approach.
The same way content delivery networks
(CDN) power online streaming services
by hosting data near users…
…service providers can store data
near their users, cutting latency while
supporting constant data growth and
opening the door to cloud connectivity.
Edge computing benefits companies that:
• Accumulate massive
amounts of data locally
• Demand high performance
• Have a hybrid cloud strategy
• Are looking to avoid data access costs
Edge computing fuels primary applications:
• Operational analytics
• Machine data analytics
• Financial trading and capital markets
• Multimedia content
• Any app that requires high
performance and has significant
Meanwhile, cloud deployments can thrive,
companies can embark on new projects
and users can take advantage of the
transforming data center landscape.
Balancing on-premises infrastructure,
enterprise data centers and regional
cloud hubs is a big challenge for IT teams.
However, finding stability on that edge
is at the heart of success for hybrid IT
and cloud adoption overall.
Learn how to balance your
edge computing strategy.
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