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WHY EDGE
COMPUTING
IS CRITICAL TO
HYBRID IT &
CLOUD SUCCESS
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
can’t scale.
There’s too much data growth to keep it
all local, yet sending data to the cloud
introduces performance issues, latency
ch...
Distributed architectures help bring data
to the edge of networks, where it can be
analyzed and interacted with in real ti...
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 ...
Edge computing benefits companies that:
•	 Accumulate massive
amounts of data locally
•	 Demand high performance
•	 Have a...
Edge computing fuels primary applications:
•	 Operational analytics
•	 Machine data analytics
•	 Financial trading and cap...
Meanwhile, cloud deployments can thrive,
companies can embark on new projects
and users can take advantage of the
transfor...
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.
Follow ClearSky Data on Twitter.
Like us on Facebook.
Connect with us o...
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Why edge computing is critical to hybrid IT and cloud success

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There's too much data growth to keep it all local, but sending data to the cloud can introduce performance, latency and access issues. Edge computing alleviates all three.

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Why edge computing is critical to hybrid IT and cloud success

  1. 1. WHY EDGE COMPUTING IS CRITICAL TO HYBRID IT & CLOUD SUCCESS
  2. 2. Data – generated by machines and humans alike – is growing at a massive rate and demands high performance.
  3. 3. Traditionally, IT teams decide the information that stays local. However, the model can’t scale.
  4. 4. 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.
  5. 5. 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.
  6. 6. Gartner has recommended bringing edge computing to the enterprise data center to achieve the full value of hybrid IT.
  7. 7. Companies and colocation providers have much to gain from the edge approach.
  8. 8. The same way content delivery networks (CDN) power online streaming services by hosting data near users…
  9. 9. …service providers can store data near their users, cutting latency while supporting constant data growth and opening the door to cloud connectivity.
  10. 10. 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
  11. 11. 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 data growth
  12. 12. Meanwhile, cloud deployments can thrive, companies can embark on new projects and users can take advantage of the transforming data center landscape.
  13. 13. Balancing on-premises infrastructure, enterprise data centers and regional cloud hubs is a big challenge for IT teams.
  14. 14. However, finding stability on that edge is at the heart of success for hybrid IT and cloud adoption overall.
  15. 15. Learn how to balance your edge computing strategy. Follow ClearSky Data on Twitter. Like us on Facebook. Connect with us on LinkedIn. Read our blog. Contact us.

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