AWS Training in Chennai| Best AWS Institute

1. 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.

2. 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.

3. 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.

4. 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.

5. 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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