AWS Training in Chennai| Best AWS Institute (1)

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AWS_ inevitable nexus between computing and
storage

• Now we are talking about the inevitable nexus
  between computing and storage.
• We're going to talk about a new capability of the
  snuggle age which is the ability to run PC to
  compute instances on this noble age.
• So maybe let's just refresh our memories of what
  is the snuggle age and then we'll go into the AC2
  pots Ian what's this knowledge.

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Overview of Snowbowl

• We provided an overview of Snowbowl edge as
  really a hybrid platform.
• First and foremost it's a hardware appliance that
  is meant to transfer data back to a WSO it's kind
  of a continuation of the service evolution that
  we started in 2015 with regular snowball edge we
  saw a couple of upgrades.
• Couple of updates on terms of capacity from 80
  terabytes to 100 terabytes. We saw a bump in
  networking capabilities to include not only 10
  gig Ethernet but 25 and 40 gig Ethernet and then
  more interesting we added compute capability.

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• So in addition to just providing raw storage
  capacity we added the ability to run during the
  initial release lambda functions by way of green
  grass on the device so that was kind of the foray
  into edge computer if you will.
• Again customers have the choice of whether they
  want to use the device just for data transfer or
  for compute or both. And so that's from a speeds
  and feeds perspective and form factor point of
  view.
• Many customers deploying Snowbowl edges as well
  as regular snowballs and conventional data
  centers.
• That just happens to be where they're extracting
  a lot of the data for migration to a WS. There
  are just as many use cases or deployment
  scenarios where we see edge effectively being
  deployed in nonconventional type of environments
  where that ruggedness and kind of overall
  durability is very much a nice to have if not a
  need to have.

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What is edge computing and what are some of the
characteristics of true edge computing
environments?

• Yet the data is actually being generated across
  all of those locations so that presents some
  interesting problems slash challenges to solve in
  terms of how do you acquire that data efficiently
  as well as cost effectively and then how can you
  process that data.
• And that's kind of a good segue I guess into the
  snowball edge and easy to launch that we're
  exactly so.
• That we're seeing in terms of what used cases
  this solves with LAMDA and green grass on
  Snowbowl edge.

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• A lot of customers were certainly interested in
  trying to figure out where does the whole server
  lists application footprint come into the fold.
  As far as edge computing use cases and there's
  been a bit of learning curve there in terms of
  taking either existing workloads or maybe it's
  just a net new workload but kind of the existing
  skill set has not necessarily been at full parity
  with the whole survivalist movement which as we
  know LAMDA name is kind of predicated on this you
  know server list application Know Shon and so
  really providing EC2 capability and specifically
  the S.P. E1 you see two instances that we watch
  support for on Snowbowl Edge was kind of an
  augmentation into what we're else is providing
  and the Edge compute realm and so you have
  perhaps the tried that is perfectly comfortable
  developing and running applications and a true
  service environment and then for those that are
  running more classic workloads be they you know
  Linux based workloads

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Contact us

• Greenstechnologys
• Thuraippakam
• OMR
• Chennai
•  89399 25577