3. Data loads are already
too large and too complex
for traditional infrastructure
to handle, which has led
to the rise of the cloud.
4. In the IoT, workloads will not only
scale even further, they will become
increasingly diverse due to the
wide range of devices
and services.
5. Lagging performance for connected
devices is not only inconvenient,
but in cases like connected cars and
medical devices, it could prove fatal.
6. The purpose of IoT data living at the edge is to
push data,processing and storage
as close to the user as possible
in order to serve two critical functions:
7. First, it ensures high
performance and rapid
analytics results that
consumers expect, and…
9. But this new edge will need two
crucial elements to provide optimal
support for IoT workloads:
• An intelligent, and eventually
cognitive, management stack
• A globally distributed storage
network architecture
10. By necessity, edge facilities
will be unmanned, so they will
have to decide for themselves
how data is to be handled.
11. Much of the data generated by the
IoT will be ephemeral, lasting a
matter of seconds. But some will be
long-term, contributing to historical
analysis and record-keeping.
12. Active (hot) data is best
kept close to the user, while
less active (cold) data can
migrate to central facilities
to be archived or discarded.
13. As well, log and machine data
have unique performance
requirements and storage needs.
14. At ClearSky, we’ve built a
network that automatically
keeps the most essential data
close,keeps warm data at
the edge,and keeps all data
available from the cloud.
16. The Edge Cache is the entry point
to the service and is the only device
installed onsite, reducing provisioning
from weeks or months to hours.
17. This allows on-prem, the edge and the
cloud to work together, delivering
that supports the full data lifecycle
from creation to disposal.
18. The enterprise can now
consume storage as if it
were local infrastructure,
taking advantage of cloud
economics while providing
flash performance for
your most essential data.
19. Learn how your enterprise can harness the
edge to tap into the power of the IoT.
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