Hi everyone and welcome. I'm Robert Cox, senior public cloud marketing manager at NetApp and I'm joined today by Sean Darington, senior product manager for storage at Google Cloud. Welcome Sean. >> Yeah, hi Robert. How are you? Great to be here today. Thanks. >> Yeah, thanks Sean. Will you kick us off and tell us a little about Google Cloud before we get into the details of NetApp and Google Cloud? >> Yeah, certainly. you know because one of the things I want to share on the next slide is really our mission uh andwhat we're trying to do across a storage portfolio. We want to leverage our technology to deliver really easy to use secure and performance solutions for enterprises. And these enterprises can be coming from, you know, the on- premises into Google cloud. Maybe they're just born in the cloud. But the variety of things that we deliver across block storage and object storage and file storage is really leveraging our technology we've been using for the last 20 plus years to run things like YouTube and Gmail and photos. Uh, as an example, Colossus is a cluster file system that we use. And as you can imagine, uh is uh massively scalable in terms of capacity and performance because we have those applications that everybody uses on a daily basis. And we've leveraged that technology to deliver applications in this case file storage services uh to enterprises to use within their environment. But we also focus on making it easy to get into the cloud with our transfer services. Whether you're coming from an on- premises into Google Cloud or whether you're coming from another hyperscaler into Google Cloud, you have different options to not only get the data in but then also protect those applications and data once they are running in the environment. Um, but you know, as much as we have a breadth of portfolio for Google Cloud to deliver, we also rely and have an open ecosystem for partners, whether it be in the data protection space and the backup recovery or like Robert with us, NetApp and Google Cloud, right? We've been partnering for years focused on different solutions for customers because we want to do what's right for the customer. And on the next slide, this is an advantage that Google Cloud has in the market is that our network infrastructure is our network infrastructure. We own it. We have 22 different undersea cables. We have 35 different regions. It's the same network we leverage across Gmail and YouTube and others. But now you as an enterprise can leverage that same network. And so you have very predictable throughput latency. You can understand where your regions are, where the compute is, where the data is, and understand the networking implications of that. Um we just opened up Tel Aviv, which was our 35th region uh in early November, and we've announced a number of others that we're going to be opening in the next 12 to 18 months. And so as you look at this, you combine our capabilities with the underlying storage technology, the network infrastructure. And on the next slide, we do a number of things to allow customers to optimize their compute infrastructure, focusing on different workloads that they're going to be running. Uh we announced cloud TPU v4, which is 80% faster for training workloads, right? Different machine types, different CPU requirements. If you look at the GPU infrastructure, we have the largest and the fastest GPU memory optimized model in shape for customers. So depending upon what you're doing, whether it's AI, machine learning, traditional computing, you have ways to optimize that machine type, the processor type, andor GPU in this instance. And for different HPC workloads, we recently introduced our C3VMs that give you additional performance capabilities for running applications like Ancis. And underlying these machine types oftentimes is block storage. And werecently announced our Google Cloud's hyperdisk. This is our next generation persistent disc block storage that is 50% better TCO but also 80% better in terms of performance. It's unique in it now gives you the opportunity to choose your machine t your machine size and type but then also tune three different knobs IOPS throughput and capacity based upon your current needs for that application. But then over time you can continually adjust that to match those workloads. And on the next slide, some of those workloads can be very demanding in terms of compute and storage performance. Uh with HPC computing uh with HPC uh with EDA workloads is one of the things Robert that you know we work really closely together. Netup has a significant footprint and experience in running EDA workloads on premises. We've been doing a lot of work together for the applications that those customers need like Ancis or Synopsis and Cadence to work in Google Cloud. But one of the things, Robert, that we really work well together on is the NetApp filers on premises. A lot of times customers need to burst those workloads to the cloud where they can now spin up the exact compute instance types they need. They can use NetApp cloud volumes on tap and I know you're going to talk a little moreabout that later. U but things like flesh cache that people are used to with NetApp is something that you can use to burst the data from on premises in a hybrid model into Google Cloud, run the HPC applications, get those results, and then shut those machines down. really optimizing your cost but being able to be flexible in the demands and meeting what your business needs. And on the next slide, you know, as much as we've talked about HPC workloads and machine learning and GPUs, etc., every organization is really on a journey into the cloud. Not everybody can move 100% of the applications to the cloud right away. And on the next slide, you see a couple of examples here, right? where VMware is a obviously a significant hypervisor that a lot of customers use on premises have a lot of experience running that withNetApp with GCVE Google Cloud's VMware engine this is an opportunity for organizations to move those VMwarebased VMs into VMware running in Google cloud and now it's a managed service that leverages capabilities from Google cloud and NetApp uh and allows them to think about as an application when and how am I going to modernize this over time and on the next slide Maybe you have modernized some of those applications and you're running in a container environment leveraging Kubernetes. You can certainly leverage GKE and if you're even in a serverless architecture, you can run those applications there as well. So depending upon your where you are in this journey, you may very well have a mixture of applications across your portfolio. Some running in GCVE, some running in GKE, um, and others may be serverless based. But regardless of where you are, you have different options for storage machine types. And this is really where the partnership, Robert, on the next slide, you know, NetUP and Google Cloud, we've been partnering for a long time to really meet the customer where they are and satisfy their requirements and really unlock the best of the cloud. So with that, let me turn it over to you. >> Thanks, Sean. Yeah, we understand that our joint customers are on a journey to the cloud and together NetApp and Google Cloud meet our customers where they are and we help to get them to where they want to go quickly, securely, and in a way that optimizes their cloud spend. Next slide. We introduced our strategic partnership back in 2018. In 2019, we launched NetApp Cloud Volume Service, helping customers with things like NFS exports, SMB shares, application data, unstructured data, and those kinds of things. This gets to the heart of a real common question. Why do I need NetApp when I move into Google Cloud? Why would I consider using anything outside of the Google Cloud services? To answer this question,Google Cloud understands that only that one solution does not solve all problems and this is why they created an open ecosystem to provide multiple ways to solve a problem. Let's take storage as an example. Sean talked about object storage, block storage, and file storage. For file storage, Google Cloud offers file store, a shared file service, and NetUP cloud volume service, another shared file service. The thing I'm driving at here is that Google themselves provide multiple ways to solve a problem. There's not necessarily always going to be a specific solution for a problem every time because every problem tends to be a little bit different. Depending on what your requirements might be, and again, this is what makes Google Cloud so great is because based upon my needs and my requirements, I can choose from a list to solve my problems in a variety of different ways. The default is not necessarily the best for all use cases is what I'm trying to say here. With NetApp solutions inside of Google Cloud, we help you solve a specific challenge like I'm trying to do something that needs a lot of data protection or a lot of performance or I need to drive down my cost or I need better availability at a lower price. Those kinds of things. That really has been the crux of our relationship with Google Cloud over the years. taking a great solution that Google Cloud has provided and then being able to augment that with our cloud data services, data protection services, etc. to be able to improve on those and really make a very powerful one-two punch so that customers have an absolute great solution that they can use to solve their business challenges. This is what we're doing in terms of our vision towards solving challenges for our customers and this is how the cloud provides to us a ways and a means. Next slide.So let's talk about a few scenarios that customers are looking at in terms of NetApp in Google Cloud. What can we do for your business? Every customer is going to be different. Every scenario here is going to be a little bit different in terms of what's going to make sense for a business or business unit to be able to get all the benefits of cloud. The first one is infrastructure modernization. This is where customers are taking entire data centers and they're moving them into Google cloud whole hog the entire thing. The next one would be hybrid cloud and this is kind of using the best of both worlds if you will. Here I'm talking, you know, some workloads at the edge or in the data center and those are going to stay there, but they're going to have connectivity to access to applications and services running inside Google Cloud. And the third is going to be Google Cloud native. So these are applications and services that are born in the cloud and that's where they run and they have maybe little or no connectivity to any edge or data center whatsoever.So there's multiple scenarios here that customers are going to typically experience or take advantage of based on their business needs. Let's dive into each of these now. Next slide. So let's talk about the first scenario. This is going to be your infrastructure modernization model. You've heard the term exiting the data center. This is definitely one of those categories. We are seeing uptake for this scenario. Organizations looking to collapse data centers to reduce the footprint or move out altogether. It could be a financial decision to reduce your capital expenditures and move to a more of an operational expenditure model. It could be a variety of things. One of the common themes you see with this model is I am going to have a large amount of infrastructure and data that needs to move from onprim into the cloud. There's going to be compute, virtual machines, physical servers, etc. that are all going to need to be moved into Google Cloud. And there's going to be a lot of data sitting in databases or file shares, object storage, those kinds of things that a customer is going to need to be able to pick up and put into a new location. So, we at NetApp have a few things we offer in this space that offer a ton of value. And there's two different scenarios in that vein that we can address. First off is with your replicating from NetApp engineered systems virtual or physical to Google Cloud. We can handle this really well with NetApp Snapmir to cloud volumes on which is a virtual appliance which you spin up by way of our Blue XP unified control plane. It allows you to spin up a virtual machine inside your Google Cloud region of your choice. be able to have that instance up and ready and then have the avail have that available so that you can start moving your data sets from onprim into Google cloud. The second piece here is going to be for pretty much any other type of system that's not NetApp, you know, and we use a solution we have called NetApp Cloud Sync for those scenarios. Meaning I'm copying from maybe Power Scale system. Maybe I'm copying from optical storage, maybe I'm copying from a physical Linux machine or a Windows machine, something in that category where I don't have a NetApp to NetApp type of replication. So I'm going to use a file-based copy solution for that. And that's what CloudSync does. It does it really well. Again, pretty much everything I'm going to be talking about here can be found on our website, bluexp.netapp.com. From this website, you can get more information or try these services out on your own within a few minutes. Cloudsync, the data mobility capability in Blue XP is able to do fileto file,to object, and any permutation. So, it's super versatile and flexible and easy to use. The thing to keep in mind is that as you're looking to move data into Google Cloud, there are a lot of other tools that are available as well. I'm not telling you to not use those tools. In many cases, what I'm saying is that we are, like I mentioned on the prior slide, better together. So again, NetUP can help infrastructure modernization's biggest burden, which is I've got a lot of data to move and not a lot of time to move it in. And Mailor Light, a global marketing firm, is a great example of this use case. Mailor Light sends more than 30 million emails per day and serves hundreds of thousands of landing pages. Although the files uh don't add up to more than you know around 10 terabytes of data, their sheer number caused Mailor lights team storage and performance headaches. By turning to NetApp in Google Cloud, Mailorite solved their infrastructure issues, efficiency, efficiently migrating a 100 million small files and running an extensive NFS file system conveniently in Google Cloud. Next slide. So let's move on from here and talk about hybrid cloud. This is a scenario where customers are taking advantage of edge or data center or whatever that permutation might be and Google cloud to solve one or more business problems. This is very much a real thing. We see many customers going this route where they are connecting data centers to Google cloud to solve real business challenges. They're not leveraging the cloud just for the sake of moving to the cloud. They're using that as a way to back up to the cloud, burst to the cloud, run batch jobs in the cloud, those kinds of things. In this regard, talking about a few things we have in our portfolio that really speak to this model of cloud connected data center would be NetApp Blue XP itself. I mentioned Blue XP when I talked about moving data from on-pre to Google Cloud. Blue XP is a unified control plane, a hub for NetApp that we provide to our customers that can be used to drive a variety of scenarios for data protection and data services deployments inside Blue XP. We can stand up cloud volumes on. I referred to it a few minutes ago with Snapmir. Again, Snapmir in hybrid cloud is a great use case. I can use snap mirror with cloud volumes on tap to replicate data from my edge to my core inside of google cloud for data movement.I could use this as a way to speed up my development and acceptance testing. Maybe I want to spin up a large workload inside of the cloud with production data spun off to a bunch of virtual machines with hundreds or thousands of cores running inside of a Google Cloud region to do some testing and then turn it all off when I'm done. Those kinds of scenarios is what really makes hybrid cloud shine. Another scenario here kind of speaking to that would be global file cache. And this is the solution we provide where you can spin up a copy of your data set, your golden copy of your data, if you will, inside of Google Cloud, natively, store your data there inside of Google Cloud, but also be able to replicate that data to your edge, your remote office sites. This is a solution where I can have intelligent cache at the edge while locking all the good stuff for my Windows-based workloads, but while I still maintain a golden copy of my data inside my Google Cloud region of choice. Again, taking advantage of the best of both worlds. Be able to keep my data close to the hip, if you will, inside a region that gives me all the benefits of security, compliance, etc., while at the same time being able to replicate a copy of that out. So my remote office workers, my warehouses, my manufacturing plants still have access to that data and can access it rapidly because they're working off a local copy. It's being intelligently replicated back between that location and my central Google cloud region. So lots of good stuff there in terms of hybrid cloud. Next slide. Okay, let's move on to the final scenario, Google Cloud Native. This would be scenarios where we are developing applications that are running inside of Google Cloud. Now, this could be nothing more than me standing up a virtual machine and deploying Apache web services on that and exposing that to the internet and I have a web server. That would be good Google Cloud native. It's running inside of Google Cloud. Doesn't have to be that simplistic though. It could also be something where I'm perhaps moving to more of a modern application type of development where I'm compartmentalizing the monolithic applications, breaking them up into multiple chunks that are more manageable with containers with Kubernetes as an orchestration for those containers using things like Google Cloud Kubernetes Engine as a way to do that at scale without having to manage the Kubernetes services. We have plenty of customers who are running applications inside of virtual machines all in Google Cloud and they're all Google Cloud native. It fits the bill. We have plenty of customers who are going the modern application route and they're running virtualization applications inside of containers and they're running on that model as well. We also have customers that are moving to Google Cloud VMware engine solution and they're running their application data from NFS and SMB shares from say NetUP cloud volume service. Cloud volume service is a great service that is a joint NetUP and Google cloud service supported by Google. What this provides to you the customer is the ability to spin up hundreds of terabytes if you want of NFS and SMB shares for your application data for database servers for file shares for applications formany user shares and departmental shares etc.It's a fully managed by Google cloud service. I can automate it um end to end either using the user interface the Google cloud console or the rest API or uh o other tools like terraform and anible so it's fully plugs into the Google cloud programmatic model so that I can automate these things end to end and in many cases I can incorporate it into what I'm doing today inside of Google cloud as far as deploying new applications deploying new services. If I'm choosing to do that visa v GitHub or whatever, I can incorporate CVS into that workflow for storage quickly and easily. So the last thing uh to talk about here is Astroridant. So Astro Trident is a solution we developed around Kubernetes. It supports Google Kubernetes Engine today as well as some others. It provides really efficient datari protection for statefulbased applications running inside kubernetes. So things like Maria DB or my SQL or Postgress or other services like that where I have persistent data that's going to be running as part of that application stack and I'm going to want to protect because I care about it. I want to make sure I can get it back and it is in a consistent state should there be a problem with my container. Those kinds of things. Next slide. All right. So to bring it back to our portfolio of cloud services for Google Cloud, we're here to make the customer experience on Google Cloud better using NetApp in the cloud. So he can have the full experience. Not only can he have data center enterprisegrade storage in the cloud, but he can do all the things there that he would normally do and that he wants to do in a data center from data protection to optimization, tearing, syncing to consolidation with global file cache. He can have the kind of security that he ought to have with compliance capabilities through cloud data sense to figure out where all my data is, what resources it's on, how much of the storage I'm utilizing that's not even being used, what data resources that I have that haven't even been accessed in six, nine, or even 12 months. and what data on those file systems or databases or even object buckets have information that could expose me to HIPPA or GDPR sensitive stuff like that. And how do I protect myself against ransomware and those by using something like cloud secure which can detect anomalies activities and tell me if it appears that somebody is trying to you know launch a ransomware attack and I can manage the whole environment with blue XP. That's an incredible story nobody else can tell. Next slide. All right. So let's talk about a few takeaways here and then we'll wrap things up. So first and foremost, we are a huge fan of Google Cloud. Five years in counting, great strong relationship that's going to continue. We make Google Cloud better. Google Cloud is a great platform. We are enhancing that with our own storage savvy our cloud services knowhow around blue XP and onap with NetApp cloud volume service with all these things that we provide inside this space to just round out the edges make things more palatable and solve problems in a creative way for our customers and on that note we're just getting warmed up we have been working with Google Cloud adding so many products to the portfolio around Google Cloud And there's no slowing us down. We will be announcing even more solutions over the next few months. We're super excited about that and we're looking to share more with you in the near future. Next slide. Okay. So, if you want to try NetUP Cloud Volumes on NetApp Cloud Volume service for yourself, we have no risk free trials that you can sign up for today. just go to cloud.netup.comgoogle and you can learn more about um all of those uh free trials there. And so with that, I want to say thank you for your time today and I will turn it back over to Sean to say a few final words. Sean? words. Sean? words. Sean? >> Yeah, thanks Robert. It's uh you summed it up well. You know, we have a great partnership over the last 5 years and we've got a lot more coming in the end of uh in 24. We're going to do a number of exciting things as well. So, I look forward to joining you again at another webinar to share some of those capabilities.>> No, that would be great. This wasreally fun today. Uh thanks again and I look forward to the next time. Bye.