00:06
Ok, II, I think we'll we'll get started. As, uh, more people will join us soon. And, um And once we go through the, um, first we'll go through the, uh, Excel presentations itself, and then we'll start the customer panel discussion. So we'll have a lot more people by that.
00:20
Um, so, yeah, with with that, uh, we can get started. Uh, so thank you, everyone, for joining this session. So here, what we're gonna be doing is, um, I'll I'll give you a quick overview about the excel product itself, if you're not familiar with it. And then, uh, we'll have we'll talk about the use cases for 22 specific customers.
00:39
Um, we have representatives here from Domino's as well as who is going to be representing Innova Post. Uh, today. Um, so with that, um, let me find my pointer. Yeah. So this is the topic. As I said, uh, we'll focus on, uh, quite a few benefits that the,
00:57
uh these two customers have seen with Excel. And, uh, with that, So I'm actually part of the, uh, hardware product management team, uh, at PR storage. I'm the product manager for Flash Excel. Uh, as well as the flash. I'm responsible for the, uh, OC the product development, Uh, the price as well as the go to market for these products.
01:17
Uh, so with that, uh, I'll get started. Um, about the excel product itself, Um, to put things in context before I talk about Excel, I'll I'll quickly talk to you about where Excel fits into the portfolio itself. So this is the flash A excel, uh, portfolio. And you can broadly view this as two separate categories.
01:36
Like, one is performance based, uh, so performance oriented, uh, products which are Flasher a X and flash a excel and Flasher, AC and Flasher. A E that are optimised for capacity. Uh, so the Flasher ray X and XL use TLC drives to deliver the highest level of performance, while the C and E use the QLC drives to optimise for cost and deliver the highest level
02:00
of capacity. So now Flash Ray Excel specifically sits at the top of the pyramid here and delivers the best performance as well as scale for your highly demanding applications. Think about tier zero tier one applications for enterprise usage. Excel is the right fit for that. And we'll talk about how Excel is a good fit
02:20
and some of the specifics on that. So next we'll talk about just a high level overview of, uh, Excel. So and the highest level Excel delivers the power that you need for your highly demanding applications so that it delivers that through the highest level of performance and scale and specifically it Excel is built in a brand
02:41
new five RU chassis. We've launched Excel about a little over a year ago, and we have seen a lot of, uh, excellent adoption for it. So Excel comes in a five U chassis, uh, which is extremely dense, uh, where we have come up with a new design to optimise the design even further.
02:58
We'll talk about that in the future slides. It also houses the most powerful CP US that we have in the entire flash array portfolio. Uh, it it takes it up a notch above the flash array X as well, and then in terms of, uh, the enterprise usage, Excel is specifically optimised for consolidating multiple workloads. Uh, it is used for mission critical
03:20
applications as we'll see in the next slide. And then, uh, it also uses the next generation CP US, as I mentioned, as well as direct flash technology and a new product that we have recently introduced in Excel called the Direct Compress Accelerator. We'll talk about that in a little bit and see how that specifically,
03:38
uh, accelerates the accelerates, the performance that Excel delivers as well. So an Excel talk about the target applications. So it's Excel is meant for the most demanding mission. Critical applications. Right? If you If you're thinking about applications where you are having a sudden spike in demand or a very high demand in all of these
04:02
applications, Excel will ensure that you never your your users are never left clicking and waiting. That's that's the biggest thing that you can hope to get from Excel and then in terms of, uh, because it delivers the highest capacity as well as the performance, Excel is ideally suited for consolidating multiple workloads that would previously span multiple arrays. There are significant advantages when you
04:26
consolidate within a single array, both for like if you're trying to say, uh, replicate your data for either business community or disaster recovery. Excel provides significant advantages where you're not dealing with multiple arrays, and you're dealing with a single array, which is extremely dense. And even if you don't have these big beast applications that are highly demanding,
04:46
Excel is perfect for you because it it helps. It gives you the scale to deal with a large enterprise and a large number of users. That's the biggest takeaway. And and here are some of the, uh, data database applications, uh, that are that are most commonly used on Flash Excel. So next we let's go under the hood and see what makes Excel so powerful.
05:09
So the El, as I mentioned, was designed in a in a brand new five rack unit chassis. And the biggest, uh, thing that we have done there is one because it's bigger, it houses even more powerful CP US. And the next thing is, we came up with it. It also improves the density of the chassis itself. Um, we accomplished the improvement in density
05:32
specifically by using a new type of direct flash module. So we got rid of dedicated NV RAM devices in the Excel chassis, and instead we use new direct flash modules which have NV ram functionality built into it. So because it has the NVRM functionality built into it. You can use the entire chassis just for the data packs,
05:55
and then you also have the option of adding two more shelves to expand capacity even further. So you can fit 40 drives right in the chassis itself. And then you can add two more shelves to add, like 28 more drives in each of the shelves. So you can achieve a total capacity of 1.5 petabytes in this Excel five RU or eight RU system itself.
06:18
Yeah, and, um Then in terms of the throughput and I ops Excel delivers 36 gigabytes per second throughput, which is ideally suited for your like, highest levels of performance, right? Like in terms of if you're even if you're dealing with a sudden spike in demand, this, uh, throughput offered by Excel will ensure that you never have to, like, kind of wait for something to load or because 11 application is
06:43
taking up a lot of, uh, throughput. The other applications are never going to suffer. And I I mentioned briefly about the direct compress accelerator. So as of as of two months ago, we have included the new direct compress accelerator by default on our Flash Excel products. It always includes it.
07:03
Uh, it's included by default. And the the key thing that direct compress accelerator does is it, uh, offloads the first pass or in line compression from the system CPU to a dedicated FPG. So what that means is, even when your system is under very heavy load, there is absolutely no compromise on compression because the first
07:23
pass of inland compression is happening on a dedicated FPG and and finally, in terms of scale, the, uh, it it delivers the highest level of, say, volume scale as well as snapshot scale in the flash portfolio. And, uh, it also offers a higher number of PC IE slots. If you want to connect more application servers in your front,
07:45
Uh, and finally, just just like all our flash A product, the Flasher Excel also delivers incredible resiliency through through 22 specific Aspect one. It has a redundant controller design. And the second thing is, our direct flash modules are incredibly like resistant compared to standard enterprise S SDS. So the based on our analysis,
08:06
the direct flash modules developed by pure storage have, uh, are 1/4 as likely to fail in the field compared to enterprise S, SDS and 1/10 as likely to fail compared to hard disc drives. So all of this really boosts the resiliency of the system itself. So with this, I'm actually gonna move over to some of the,
08:27
uh, customer use cases. So before I invite, uh, bill and Mayor to join me, um, I'm gonna quickly talk to you about how these two customers Domino's and are using Flash Excel and how it is benefiting them. Um, yeah. So with this, let me first talk about dominos. So do Domino's. Um, this is the primary use case,
08:53
so Flash Excel is actually used to host the primary data warehouse environment. The data warehouse environment hosts data mats that are actually that are used to come up with critical business insights for Domino's. These business insights are important for dominos to improve their customer experience, marketing as well as operations. So all of the these things are really critical, and the whole thing runs on the Flasher excel.
09:18
Also, the other thing about excel we I spoke to you about, uh, not just high demand. But even unexpected demand, Right and Excel is a perfect example for that is Super Bowl Sunday. So on Super Bowl Sunday, um, as you can guess, Domino's has incredibly high demand, and it delivers over 13 million pizzas across the US.
09:39
And for this, for the sudden spike in demand, Excel seamlessly handles all of that without any challenge at all. And the other use case, uh, is something that I enjoy using in my personal life. And that's something I have loved. Uh, the Domino's Tracker. So the Domino's Tracker, as you know is, is something where once you place the order,
10:00
it gives you real time updates on where exactly your pizza is like in terms of getting prepped. Uh, it's going through the baking process and then it's, uh, ready to, uh, it's going through the quality assurance. And then it's out for delivery. So this entire process, uh, runs on a flash array.
10:16
It's the flash array, X 70 with the growing demand, there are also like plans about upgrading that to an excel in the future. Um, but it gives me a lot of joy to share this because this is something I I used to really enjoy even before my time at PR. And it was it. It was a joy to see that, uh, the flash a product that I work on is is used on this.
10:36
Uh, so with this, I'll go to the next application. Um, so here we have, uh, who will be representing Innova Post. So is the IT consultant for Innova Post, and Innova Post is a leading IT service provider in Canada. So the use case here primarily is Innova Post uses Flash Excel to enable reliable and instantaneous digital signature
11:04
transactions. So and this is primarily used by delivery workers across Canada. And this is particularly important for delivery workers in the northern regions of Canada, where you know that winters can be brutal, right? So think about so the delivery drivers, um, used to have a real pain point in waiting
11:24
for a digital trans digital signature transaction to load. And now that is a thing of the past. After moving to excel, there are absolutely no bottlenecks in the storage and the digital signature transactions are validated instantaneously, and the delivery drivers and delivery people could not be more thankful about that. So with with this, I'm actually,
11:46
uh, I'm going to give you a quick hint. This is a quick hint about some of the benefits that Domino's and Innova Post are seeing. Uh, this is just a teaser. After this, we'll go into the, uh, panel discussion where we'll talk more in detail about all of this. So, in terms of energy savings, uh, we have seen up to 94% energy savings,
12:06
uh, at these two accounts and then in terms of space savings, there is over a 90% data centres, space saving, and then in terms of upgrades and maintenance, it's been fantastic. So the upgrades have ensured even during the non disruptive upgrades from, say, different generations of X or even an upgrade from X to excel. There has been zero downtime, ensuring always
12:30
the systems are up and running at the highest level of performance. And then finally, in terms of the maintenance in both these cases, there has always been 100% hassle free system management. Um, yeah. So this is just a quick teaser with this. Uh, we'll go over to the panel discussion. Let me introduce our participants today.
12:49
So we have, uh, Bill Hillman, who from Domino's, who is the manager for the virtualization storage and compute team and, uh, welcome, bill. And, uh, we also have, uh, from viro. He's a general manager at, uh so, uh, join us, Mayor. Thank you so much. Thank you.
13:16
All right, so thank you so much. I know it's it's been you have You have travelled across the globe to join us from Mumbai. So thank you so much for that. And thanks, Bill. Thank you for having us. Absolutely. Yeah. So, I, I guess before we as we get started,
13:29
could you tell me a little bit more about your role and your charter? Each of you If you could, uh, give us a quick overview. Sure. So, uh, see, I. I am, uh I drive the global offering development, uh, across our distributed hybrid and multi cloud portfolio. Which spans? Yeah. Yeah. Which spans across, uh,
13:50
the the Hybrid Cloud Solutions Storage service, database service as a piana. All of them, and container inclusive. So that's one. And then I also drive, uh, the engineering innovation as part of my role. So that gives me an opportunity and it excites me really well in terms of getting in front of customers for the first part of my role.
14:09
And the second one gives me an opportunity to innovate, to push myself, to do everything new on the engineering side, work with a talented pool of resources along with my team, uh, to to utilise them to, you know, differentiate our offering because it's a very competitive space. So how do you really differentiate and the last part in terms of,
14:31
uh, really? You know, it gives us satisfaction in terms of, uh, giving you, uh, creating something with impact society, right? In terms of the sustainability and other things. So, yeah, that that's how, uh, my role, you know, that's fantastic. Thank you. Thanks. Thanks. Yeah, Bill.
14:48
Could could you tell us more about your role and the charter of your team? Sure. I manage the storage virtualization and compute teams at Domino's Pizza. I've been doing that for the last four years. Uh, my team is a group of four guys who's in charge of managing all physical server windows server, uh, storage block file object data protection, and,
15:09
um, a lot of other office 3 65 types of types of things, but we're at the core of the Domino's IT business. I manage everything but the network. Wow, just the team of four, and you manage it for the stories for all of Domino. So out of almost 20 petabytes of provision storage, there's four guys and storage isn't
15:29
one of their is one of their primary areas of responsibility, but it takes the least amount of time to take care of. Wow. OK, that's fantastic. That's something I would love to dive into it a little bit in the in the Yeah, in the in just a couple of minutes. So I guess, uh, Mayer, could you tell a little bit about the partnership with the Post?
15:47
Sure. So I think has been partnering with Innova Post from 2013. When we entered, we entered by an opportunity on the data centre consolidation for them. And from that point onwards, we entered into it. Data centre and services added network security, then, uh, applications. And now cloud, uh,
16:07
managed services overall. So now we are overall partner for them on, uh, outcome basis. Got it, Got it. Excellent. Yeah. So I. I guess uh, for question for both of you. Like what Got you started with PR storage? What was your journey with PR storage?
16:23
Yeah. So, uh, if I have to tell, we we entered, uh, in has one thing in common. They have, uh, have a test of doing best, you know, in in terms of selecting the ID, uh, when they selected the vendor during that time. Also, when we fought this RFP.
16:39
So we we started with V blocks that time, which was kind of at peak that, uh, during when we had pitched. So over the course of the period when we when we compared the next refresh the transformation cycle. The main factor for that for us to consider, was 10 impact on the transition. When we do the migration transition,
17:03
the solution should not have any impact on the mission critical applications, which they have. That's a main point. And then then, secondly, in terms of our guarantees in terms of SLAS, when we do a real transition, uh, anything on the availability side performance side, et cetera. So it was being a government customer.
17:19
Really, it is difficult in terms of the evaluation. It has to go through. So we had to cover our our comparison for other product as well. Uh, but having said that, uh, it was clearly coming out in 23 parameters. Outstanding areas, one in terms of capability of driving the overall ops as compared to the
17:39
comparable product. And it was like to like comparison when we we were doing at least 60% more. I, uh, on on on, uh, pure side the second area, which we felt, uh, very clearly in terms of, uh, the the the response times, Uh, on a critical. The kind of thing. What you've shown it was delivering microsecond,
17:59
uh, kind of, uh, response times as against millisecond. Right. This is the second area. The third, The very differentiated parameters was in terms of the, uh, placement. Right. So these are the three things largely, uh, which helped us, uh, position pure. Fantastic. That's great to hear.
18:16
Right, I'll I'll dive into more of those in the following questions. Uh, Bill, what about you? What got you started with pure storage. We were at a point where we were up against the refresh of the incumbent spindle vendor, and we were having considerable trouble on Friday nights. Super Bowl Sunday we sell a lot of pizza, but every week out of the rest of the year,
18:37
Friday night is the biggest night. Uh, we started having difficulty with a rogue with what I call a rogue business intelligence workload working overnight, which would disconnect, uh, the discs from the Linux environment that was running the e-commerce environment. So we were running reports, Um, during, uh, peak sales peak sales times.
18:58
We had the incumbent come in and tell us that to solve for the IO Uh, contention it was gonna take us another three racks of discs in each of our data centres. Um, we where we then brought in solid fire. We brought in Hitachi. We brought in pure um, and we ran, uh, production POC for a month against both the extreme IO and the pure flash rate. It was the M series at the time.
19:24
Um, and pure flash was fast. That's the first thing we learned. But all of the extras that you get in terms of the ease of management, the non disruptive upgrades, the fault, tolerance, the failure capacity, it was superlative in every measure Wow. That's great to hear. Yeah, so and so did you. Did you have to convince your management to use
19:44
PR or like, where are these benefits? Did they explain for themselves? A lot of them were self explanatory. I mean, disencumbering yourself from an incumbent is always difficult and managing that managing that relationship is difficult. Um, but our partners, the partner that we bought it from and our sales team did a fantastic job of helping us to
20:04
explain and to really sell it internally. There was still, um, up until the decision was made. Uh, the decision was made with the technical team, but the finance and, uh uh, upper level folks had were not yet sold. Um, I was at lunch, and my vice president comes up and he says,
20:21
Are you sure you wanna do this? And I said, Yeah, this is this is what the team says. This is what the data shows. We have to follow the data. Otherwise, we're not doing our jobs, and the rest is history. Excellent. Yeah, that's fantastic. So was it. Uh, So did you also take into account the total
20:37
cost of ownership? Was that also a factor. So, at that point explaining to technicians and the leadership, like what data reduction really could do for us had to be experienced. So the it wasn't until after when we were able to perform a couple of those non disruptive upgrades Um, trans, uh, add capacity on the fly with instantaneous availability and really work
21:03
through the mechanics of everything. Um, in the evergreen model and the non disruptive nature of Flasher AM at the time, um really proved to us that the decision was solid and a good one to make. Excellent. Excellent. Yeah. And I guess my similarly like when? When you when you pitch PR to your customers. Uh, what has been some of the driving factors? Has it been currently CU is one of them?
21:29
Uh, the second parameter, the biggest parameter. What we drive currently is our sustainability, our ability to do that impact, uh, with and and we have a complete model prepared for assessment and delivery of this entire, uh, how it, uh, you know, delivers the benefit on the sustainability angle. And that is a larger driver for us. Now, apart from all all of this,
21:52
anyway, a differentiator which I talked about, but sustainability is one top priority. Uh, thing what? We drive now. We are excellent. Yeah. I mean, that brings me to the next question, like in terms of sustainability. Right. I know. Uh, I know you should we should thank you for I think, you know,
22:07
Post just won the pure good sustainability award. Right? So congrats on that. And thank you. So on that topic, right? Could you tell me a little more about the specific sustainability benefits that Innova Post has got? Like in terms of the energy savings as well as,
22:22
say, footprint savings? Sure see, from the from the customer perspective to the government and the people of Canada, they have their own initiative by 2050 to become carbon neutral and net zero et cetera. And we brought this, and it was so astounding results. Actually, uh, you know, I'm really proud to say that, uh,
22:42
the the kind of shift we have seen, uh, the the original solution. What we had, what in our top notch was 378 rack units converted into five and five rack units. So around 93 97 per cent of the storage unit and in terms of carbon footprint, right co two emission, It was it bring brought down from 3.
23:11
70 metric. Turn to 30 metric turn. Just imagine, uh, the the kind of reduction apart from that, uh, we also saw the the power reduction of 95%. Wow, 95% power. Yeah, OK. And so? So these results were kind of unbelievable.
23:27
And And the finally, the cooling space, So the same. Same thing on the 92% of the cooling requirement reduction. Uh, there. I mean, it was, uh, initially it was actually, And then the results are showing itself, actually. Excellent. Yeah. I mean, actually, when I first heard about this
23:46
to put it in more context, right? Like when I, uh, I, I saw that the energy savings that you in our post has got kind of translates to the electricity consumption of over 1 25 homes for an entire year. Right? That's correct. Yeah. So, I, I thought that makes it you. You comprehend it better when you say 1 25
24:05
homes electricity for an entire year. That's that's pretty amazing. Yeah, that's correct. Yeah. So, Bill, similarly what's been your experience in terms of what is the say specifically Flash A Excel and the flash? Uh, what sustainability benefits have you seen?
24:21
Um, in terms of both footprint production as well as energy usage at Domino's. So the energy usage reduction across the entire fleet. We have 18 arrays. It has dropped at 82%. OK, between between both of our data centres. Um, the rack space is is similar to his story
24:40
in terms of in both data centres reducing a total of 100 and 12, um, rack units for each three of our applications. Uh, down to, uh, initially, only 24. Um, that was when we had only six arrays. But since we've grown, it's it. All of our storage probably takes up a total of,
24:58
uh, four complete rack units in, uh, two in each of our data centres. And so, if we were to look at the opportunity we had in front of us in 2015, not not expecting the explosive growth in terms of data, uh, consumption, we wouldn't have been able to fit it in our current data centre footprint and the mechanics and financials around being able to store and process that much data at the
25:26
speeds that we needed to would have been prohibitively expensive. So it translated to us being able to deliver things faster, uh, more efficiently and easier all at the same time. Wow, that's fantastic. I mean, if if you I think you you got away from building a new data centre, is that right? Yeah.
25:43
Wow, that That must be like a huge saving. Your management must be pleased with that. Well, I did get promoted after we implemented it, so I mean, if that says anything I don't know. That's fantastic. Awesome. Yeah. So, I. I guess the other thing is, like in in terms of, um, say the benefits,
26:01
Uh, in terms of just the performance of the flash products itself. Right. Uh, could you talk to me? I, I guess starting with my Could you tell me about how the I briefly hinted it at it? Um, when I was talking about it, it has kind of brought down the latency to like microseconds. But could you talk to me a little more about it? What is the customer benefits that excel has
26:23
delivered to you? Yeah, so a few few things which which were not non existent before that's what we saw. So one thing is in terms of and the comparison was done with the mission critical application. There are so many other applications which got benefited to a larger extent. But the one which is really hungry in terms of resources and and and the response times,
26:44
et cetera, was one of the Oracle application cluster What we did and that was a testimony for all all other things. We we got a solid results for other applications. But this application is responsible for what we have shown in terms of the the verification et cetera, that got, uh, uh, you know, at least, uh, five improvement right up to five X improvement,
27:08
some some some areas. When we tested, it was 2.5 times better, and then sometimes it 55 times better than the previous one. And you can imagine the impact to the the delivery partners and the others what they have got. So definitely a business has got that advantage. The second biggest advantage. What we have got now is in terms of our ability
27:28
to do the the business continuity that the disaster recovery, recovery drills, drills and things which were really not possible before. Uh, with the the RP OS, We, uh, lower RP OS We we were ended up having at least 3 to 4 hours of RP OS Uh, overall at an application level, not at a data level. But now, uh, with this solution, we we are able to do at least,
27:52
uh, you know, as low as as 10 minutes. We have done, uh, overall level recovery. That's so because a lot of things were in terms of, uh, the replicated data and then the operations doing on those were kind of hindering a lot of time. Uh, RT U as well as RP.
28:10
Both were impacted, uh, that time so there was a few things that we have observed. OK, got it. Ex Excellent. Yeah. I mean, I mean the the latency aspect, right? Truly struck a chord with me because I was just thinking Think about someone who's who's delivering in the coal, like in in the northern regions of Canada. And like,
28:28
if you're thinking about like, if you're just hanging around waiting for, like, a handheld device to load and validate the transaction. And that must be painful, right? Absolutely. Yeah. And other aspects as well. So for the application guys, to do the maintenance management back up. So many things.
28:47
I've rever now. I mean, this is the kind of experience I've created across the application owners. Also, not only the the actual and experience and customer would use a card. Excellent. Yeah, I'll I'll dive into that in a little bit. Yeah, So I guess, uh, a bit similar to you. Um, like, what are the benefits that you have seen by this improvement in storage performance with
29:08
Flash Excel? And how was that translated to any sort of business outcomes for you? Uh, II. I do know one thing that I think, uh, you have added after switching out of your stories, I think you you on boarded something like 2500 new stores, right?
29:22
Like, can can you talk to me about that? So data store process store data processing is a big part of our, uh, business intelligence and machine learning efforts in terms of marketing. Better to our customers. Um, and ensuring that the, uh what? The product that you get in the store is the
29:41
same whether you're in Alberta, Canada or, uh, Brooklyn, New York. All of that takes a tremendous amount of processing time. Power and data implementing flash array specifically excel. We have the data marts, as you were talking about, we are able to increase. We are able to shorten the time it takes to deliver copies of the data warehouse to our
30:03
individual marts. Um, by 30% tangible benefit right out of the gate. Only Having it run after the upgrade for two weeks was a 30% increase in overall data reduction. And so not only did we make it smaller, consume less power, but we amplified the amount of capacity that was usable to us by a factor
30:26
of 10. So it's so so it's pretty impressive that just through that, the DC a which I wasn't completely aware of until, um, we got to the nitty gritty of the implementation, um really powered it through. What that's gonna translate for us, though, is the the the the being able to defer further capital investment in the storage infrastructure to enable other workloads that
30:53
were waiting for storage to be enabled faster. And so that's improvements to driver GPS tracking. That's that's improvements to, um, making sure that the text messages you get before dinner time are not the same for you as they are for me. Because we're a We're in different time zones and B,
31:11
we're very early, very early eaters, So you probably wouldn't want my dinner. Uh, notification, but pure has enabled us since day one to really realise the effect of, uh, storage bottlenecks to tier one, emission critical applications. Um, we ended up having to resize a lot of our workloads to make up for the fact that they
31:34
were being held back by the initial storage, uh, selection. And from that point on, everybody wanted it once they were able to experience it for, uh, the shortest amount of time. Got it, Got it. Fantastic. I mean, talking about like, looks like it has really helped you improve efficiency across your company,
31:53
right? Like, that's great to hear. And And II, I guess in like a along the same lines, right? I, I wanted to know. Can you, uh I guess may you tell me a little bit about how PR is uh, helped you with becoming more efficient. Like, uh, did you have?
32:09
Do you now use fewer people to manage your relationships? Uh, your systems compared to previously with, like, other vendors. Could you talk to me about that? Yeah. Absolutely. See, a few things which I told you, right. The the example. Which I gave you in terms of disaster recovery drill.
32:23
It was why it took longer time. Because while it had a tier one storage, but it had other storages as as well as part of the application access, you know, then overall, and and they they means you had different, different skills. So you you, uh we had a mix of storages there. So now, with the simplicity, uh, is a single box now we,
32:44
uh our our guys are end of one single skill. So from efficiency, that efficiency, definitely. We have brought. And And it as part of that, um, from the reduction data reduction. Also, we have seen a huge jump. So, with with respect to the previous, what we had got got excellent.
33:01
Yeah, and and, Bill, like, uh, you you just told that your entire team consists of just four people but you manage storage and compute for the all of Domino's right. Can you tell us how excel and rest of the pure portfolio has helped you be more efficient and kind of use your time for more value adding tasks when the array opens its own tickets? When you experience that for the first time,
33:27
you you think, man, I thought we were watching this thing. But then you get your first phone call from from peer support saying, Hey, we noticed XY and Z. We're gonna send this R MA or you have to do this or we need to schedule this upgrade. I mean, you guys have further you. You guys take the worry out of storage
33:44
administration and allow us to focus on, uh, more more tasks of automation. Uh, tech debt, uh, clean up and, uh, right sizing initiatives that we're trying to take, uh, as a part of our, uh, cloud migration journey. I think that because you keep adding things to tier one, which is my favourite tool, Um, it makes it easy.
34:08
Uh, that is a single differentiator for my team because they're able to, uh, within a handful of clicks, be able to, uh, take storage out of the troubleshooting scenario to allow the teams to focus on what the real problem may be. So instead of everybody just pointing fingers at, it's the storage. It's the storage we now have evidenced, um, pictures that we can show them that.
34:31
Say, Look, it it's really not the storage. You should start looking further up the stack and the time savings alone, um, has not only helped my team, but others in terms of figuring out what those little bugs are in order to, you know, uh, come to resolution quicker than before. Wow, that's fantastic. I mean, helping you all be more efficient and
34:50
agile, right? Yeah. Fantastic. And I guess the, um uh you you you mentioned about the evergreen business model, right? How has that helped you, uh, engage with your customers? How How has that been? A differentiator. See?
35:02
Generally, uh, what we have seen it. It gives so many of other advantages what we bring you on the table now, which we are not doing before. Uh, it has completely changed our narrative of of our propositioning things, right? So, for instance, the way and I'm a huge advocate in terms of bringing in the the, uh, optimisation and efficiencies.
35:22
I have done a lot of investment myself on on dynamic resource management. Uh, which, which helps, uh, you know, over provisioning and all that. Right now this is reality. From the perspective. There are two areas which we really see advantages. When we see our narrative, one customer gets an advantage of getting the new innovation
35:42
technologies as and when it comes, they don't have to be deprived of that. That's one. Secondly, in terms of enhancing this business continuity and other things also its impact. So last thing what we have seen in terms of non disruptive upgrades when we we have not seen before any of the such thing that it definitely known zero impact on anything what
36:06
we do in terms of upgrades and, uh, maintenance, right, so that there are few things while we have done that in the other technologies. But a lot of precautions and other things have to be taken, uh, an informed thing, uh, big announcements and things before we do that here that everything is gone. So So our narrative has completely changed,
36:26
and based on this one and and customer, we can confidently tell in terms of the the business benefits what they can get and embrace the new technologies to the innovations and things, right? So whatever things we are coming new things, they're able to apply that much faster. Fantastic. That's great to hear. And and I know, uh, Bill,
36:44
could you also talk about your experience with the, uh, non disruptive upgrades? I know you've done something like 50 hardware non disruptive upgrades so far, right? 50 50 hardware, non upgrades, and 100 and 13 software, non disruptive upgrades. So whereas we would have, we would have to fight through our change advisory board
37:02
meetings to to get some down time in order to do a firmware upgrade or a controller swap or even typical maintenance that we would have to do for all of the raid groups, which are not something I have to worry about anymore. Um, we schedule them in the middle of the day when everybody is at work and awake. We don't have to worry about waking people up at 4 a.m.
37:22
Should something go disastrously wrong because of the track record of being able to do all of this down Disruptively. Um we now can just It's more of a notification that Hey, this is happening. Um, the X to XL upgrade that we did recently, um, was pushing 100 and 30,000 combined ops.
37:41
Um, and over 7.5 gigabytes. A second on the X 90 that we were coming up from that application ran throughout the entire all all of the applications that were on that array were notified that Hey, we're doing this upgrade at the end of it. It's just gonna be, uh it's gonna be, uh, smaller in the data centre. Increased in capacity and faster. And they said that sounds good to us.
38:04
The change started at nine o'clock in the morning, ended at 2. 30 in the afternoon, and at the end, it was exactly what you said it was gonna be. And we didn't have to do anything to the applications. Wow, that's fantastic. That's great to hear. And I guess this is my last question to both of you, after which we'll open it up for any
38:20
questions from the audience. Um, So what are you most excited? Uh, mayor about the future of uh, storage as well as any innovations, uh, from pure storage. See, one thing the the art of possibility Every outcome and experience are driven by data, right? So anything which you have, either it goes
38:40
through the insight, analytics or availability of data. So the the advent of availability of data, fabric distributed data, uh, global name space, the the speed at which you can accelerate migrate mobilise application all enabled by the data services, right, The storage. And and on top of that, uh, some innovative products like works which enables the cloud
39:01
native thing as well. I mean, that that gives us an opportunity to really, uh, have, uh, we we call it as boundary less data management. Absolutely no boundaries. That's that's a great yeah. Yeah. So? So that 11 is that and secondly, in terms of the the availability of the A,
39:20
I whether it's, uh, the A I ops, what we have we leverage from pure or generative a. I promise it's in in discussion, but there are promise of doing a lot more with that coming up. That is really exciting things coming ahead and and from pure, pure perspective, you know, the kind of leverage we have right from starting pure one to programmable modules. Availability to us,
39:45
having the automation done. Now, the fusion. A lot of things are, you know, keeping us very busy in terms of, uh, you know, having it embraced ahead of time. That that excites. That's fantastic. Yeah, thanks. Thanks, Bill.
39:59
Similarly, Like what? What What are you excited about? The future of storage and and specifically about, like, any innovations from PR stories that you're looking for. So this morning, listening to the road map in terms of how larger capacity is going to be my the first thing I was thinking is, man, that's a lot of bits to have in one bucket to go wrong.
40:16
But then you cover that with the failure rates of the DF MS and all that kind of stuff are so much lower than what we were used to before with the SSD. And you think Well, maybe maybe that is possible. So really, I'm interested to see the solution in terms of creating those fault domains in the really consolidated, uh, storage arrays. Um, here is the first storage company that
40:39
we've gone through, Actually, two consolidations of similar workloads. So the things on the Excel went from, uh, a pair, uh, a parent, each data centre down to the one X 90. And now the one XL and then the one X 90 for DR purposes. But, like, you continue to be able to allow us to stuff more into smaller spaces. Um, and we're gonna continue to squeeze every
41:00
drop of that, uh, efficiency that we can in order to further, um, all of the future business initiatives. Got it. Got it. Really appreciate it. My really appreciate it. But so it's been a pleasure. Thank you. Thank you.
