IaaS Explained

IaaS Explained

#IaaS #Explained

All right, hi everybody and welcome back to the channel. My name is Bradley Knapp, and I’m one of the Product Managers here at IBM Cloud, and what I want to talk with you guys about today is a question that we get fairly commonly when folks are starting their cloud journey

And starting to learn about cloud, and that’s, “What is IaaS?” I read about cloud, I see this IaaS thing everywhere, what does it actually mean? And, so, “IaaS” is an acronym, and so it’s broken into 2 parts: the first part, the “I”, that’s “infrastructure”. And, so, if you think of cloud

As being just some other dude’s computer, running somewhere else, that’s the infrastructure part. And, so, that infrastructure, if it’s not cloud – it could be running in a data center somewhere, it can be running in a closet somewhere, your laptop or your desktop is infrastructure. And then the “a.a.S.” piece is “as-a-Service”.

That’s the billing method, that’s the way that you consume it. And there are other kinds of as a service. You’ve got “PaaS”, Platform as a Service, you have “SaaS”, Software as a Service. There’s lots of different kinds of things that you can consume as-a-Service but very specifically what we want to talk about

Is the “I”, it’s the infrastructure. And so I’ve got this diagram written out over here because infrastructure really falls into three main categories, right. The first category is going to be compute, that’s where the processors are that’s where the actual lifting and computing gets done. The

Second piece which is storage kind of falls into three main buckets and lots of smaller buckets on top of it because there’s different kinds of storage. And then the third piece, the piece that ties everything together that’s our network piece. And so we’re gonna draw this one over here because

Without network you can’t do anything, network is how the compute talks to the storage and that’s how the compute talks to the other compute. And so like I said we can break this down into different pieces and so in the

Compute side I’ve got three things called out up here, the first one is kind of I’ve just got a labeled compute, its general purpose compute, right. This is your normal web server or application server, it can really be whatever general

Purpose kind of computing needs you have. The second two are, or the second and the third really are more specific right. So GPU is is a graphics processor, that’s a very very high speed processor that’s used in conjunction with a traditional processor for specific kinds of workloads right.

This is gonna be your machine learning and your AI. And then the third piece, HPC, that’s high-performance computing. So there’s specific kinds of workloads that had very specific requirements as far as frequency which is your clock speed and the number of cores that are required where you have to have lots of power

Packed into a very, very, very small footprint, that’s gonna be your HPC. And likewise on the storage side you’ve got different kinds of storage because you have different storage needs. The most commonly used one is gonna be object storage. Object storage is a little bit lower performance but it’s relatively

Inexpensive and that’s for your general purpose storage right. What goes into object storage? Well you can have things like pictures, you can have documents, you can have really whatever you want can go into that object storage, it’s where all

Of the data and all of the graphics on the web server that’s all hiding in object storage. And then the second and the third piece that I’ve got called out here, block and file, these are specific kinds of storage, specific kinds of network storage, and they attach in very specific ways. Block storage

Attaches with iSCSI, file storage attaches with NFS, it’s the way that they mount into the actual compute itself. And there are specific kinds of applications that require block storage or file storage because each of them has their own features and benefits. And so to talk about how we pull all of these things

Together we need to talk about the network, because network has two main components that matter. And so what I want you to do is I want you to think of your network as a pipe, right. And so a network can be a small pipe, that would

Be like a pipe measured in megabits so you can’t press much data through it. Or it can be a very large pipe, that very large pipe that would be measured in gigabits per second. And so the more data you need to push simultaneously the

Larger pipe you need and the more bandwidth you need. The second way that we measure network traffic is how much data gets pushed through this pipe over a set period of time. Normally it’s billed by the month but it could also be billed by the minute, by the second, or maybe even by

The day, or by the week. And so to take all of this and tie all this together, I want to use an example of something that requires some specialty components right, we’re going to talk a little bit about an AI workload. And so if you think about

An AI workload where you’re going to do automatic visual recognition of pictures. Let’s say that you have a billion pictures down here in object storage that you are then going to use to train your model that’s running on these GPU

Servers, and so you take that billion pictures and since a billion is a lot and pictures are very large you have to push them through a really big pipe, that’s your network pipe up into the GPU server but the GPU server doesn’t have any

Storage inherent to it. So that GPU server is actually going to take and write that into block. And it’s going to write that data back and forth, and back and forth until the model is done. Once it’s trained it’s going to take all of

The data that we pushed up here and all of the results and it’s going to write all of that back down into object storage. Why object storage? Because again, it’s less expensive, it’s a good archiving solution. And so you’re pushing

A ton of data through these pipes while they’re turned on and then once you’re done you get rid of them. And so the second piece that I want to talk about is the “as-a-Service” piece, this is the way that you consume. And so when we talk

About as-a-Service there are kind of four things that really, really matter in this model and the first one is that offerings that are consumed as-a-Service are generally speaking shared. And so by shared I mean they’re multi-tenant, many people use the same offering, we just take and carve it up and make it

Available to multiple different customers simultaneously. So that’s the first piece of as-a-Service. The second piece is the hourly or monthly piece. This is talking about how we bill. In the case of compute, it could be a certain number of cents, or certain of dollars per hour, or per month. In the

Case of storage, we would bill out in the amount of data that’s stored in a given month, so that would be cents per gigabyte per month. In the case of network, there are two different metrics we about earlier right. The size of the pipe you would pay per month charge for that,

And then the amount of data that goes through it again measured in gigabytes per month, or cents per gigabytes per month. So that’s our billing metric. And then the third piece, and this is a very important one, is that there are no contracts involved in an as-a-Service model, or there aren’t necessarily

Contracts. There can certainly be them but they’re generally advantageous to you. By no contracts we mean that you don’t have to agree to use something for a set amount of time, you use it for as long as you need it and then you get rid

Of it. And so rather than a checkmark for no contracts I’m just gonna put a little X there. You only use it to when you need it, it’s on demand. And then the last piece, and this is probably the most important as-a-Service offerings are

Self service. That means that you can go out to a website, you punch in your information, your payment details, click the Go button and that as-a-Service offering is going to be provisioned and delivered to you. It’s not something that

Takes days or weeks or months to set up and configure, it’s one that can be provided in minutes or hours. Thanks for stopping by today. If you have any questions, please drop us a line below in the comments. If you want to see more

Videos like this in the future, please do hit that like and subscribe button that way we know you’re interested in it. And don’t forget you can always get started and cloud at no cost by signing up for a free IBM Cloud account at cloud.ibm.com.

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