>>From the Cube Studios in Palo Alto in Boston, bringing you data driven insights from the cube and etr. This is breaking analysis with Dave Ante. >>Have you ever been driving on the highway and traffic suddenly slows way down and then after a little while it picks up again and you're cruising along and you're thinking, Okay, hey, that was weird. But it's clear sailing now. Off we go, only to find out in a bit that the traffic is building up ahead again, forcing you to pump the brakes as the traffic pattern ebbs and flows well. Welcome to the Seesaw economy. The fed induced fire that prompted an unprecedented rally in tech is being purposefully extinguished now by that same fed. And virtually every sector of the tech industry is having to reset its expectations, including the cloud segment. Hello and welcome to this week's Wikibon Cube Insights powered by etr. In this breaking analysis will review the implications of the earnings announcements from the big three cloud players, Amazon, Microsoft, and Google who announced this week. >>And we'll update you on our quarterly IAS forecast and share the latest from ETR with a focus on cloud computing. Now, before we get into the new data, we wanna review something we shared with you on October 14th, just a couple weeks back, this is sort of a, we told you it was coming slide. It's an XY graph that shows ET R'S proprietary net score methodology on the vertical axis. That's a measure of spending momentum, spending velocity, and an overlap or presence in the dataset that's on the X axis. That's really a measure of pervasiveness. In the survey, the table, you see that table insert there that shows Wiki Bond's Q2 estimates of IAS revenue for the big four hyperscalers with their year on year growth rates. Now we told you at the time, this is data from the July TW 22 ETR survey and the ETR hadn't released its October survey results at that time. >>This was just a couple weeks ago. And while we couldn't share the specific data from the October survey, we were able to get a glimpse and we depicted the slowdown that we saw in the October data with those dotted arrows kind of down into the right, we said at the time that we were seeing and across the board slowdown even for the big three cloud vendors. Now, fast forward to this past week and we saw earnings releases from Alphabet, Microsoft, and just last night Amazon. Now you may be thinking, okay, big deal. The ETR survey data didn't really tell us anything we didn't already know. But judging from the negative reaction in the stock market to these earnings announcements, the degree of softness surprised a lot of investors. Now, at the time we didn't update our forecast, it doesn't make sense for us to do that when we're that close to earning season. >>And now that all the big three ha with all the big four with the exception of Alibaba have announced we've, we've updated. And so here's that data. This chart lays out our view of the IS and PAs worldwide revenue. Basically it's cloud infrastructure with an attempt to exclude any SaaS revenue so we can make an apples to apples comparison across all the clouds. Now the reason that actual is in quotes is because Microsoft and Google don't report IAS revenue, but they do give us clues and kind of directional commentary, which we then triangulate with other data that we have from the channel and ETR surveys and just our own intelligence. Now the second column there after the vendor name shows our previous estimates for q3, and then next to that we show our actuals. Same with the growth rates. And then we round out the chart with that lighter blue color highlights, the full year estimates for revenue and growth. >>So the key takeaways are that we shaved about $4 billion in revenue and roughly 300 basis points of growth off of our full year estimates. AWS had a strong July but exited Q3 in the mid 20% growth rate year over year. So we're using that guidance, you know, for our Q4 estimates. Azure came in below our earlier estimates, but Google actually exceeded our expectations. Now the compression in the numbers is in our view of function of the macro demand climate, we've made every attempt to adjust for constant currency. So FX should not be a factor in this data, but it's sure you know that that ma the the, the currency effects are weighing on those companies income statements. And so look, this is the fundamental dynamic of a cloud model where you can dial down consumption when you need to and dial it up when you need to. >>Now you may be thinking that many big cloud customers have a committed level of spending in order to get better discounts. And that's true. But what's happening we think is they'll reallocate that spend toward, let's say for example, lower cost storage tiers or they may take advantage of better price performance processors like Graviton for example. That is a clear trend that we're seeing and smaller companies that were perhaps paying by the drink just on demand, they're moving to reserve instance models to lower their monthly bill. So instead of taking the easy way out and just spending more companies are reallocating their reserve capacity toward lower cost. So those sort of lower cost services, so they're spending time and effort optimizing to get more for, for less whereas, or get more for the same is really how we should, should, should phrase it. Whereas during the pandemic, many companies were, you know, they perhaps were not as focused on doing that because business was booming and they had a response. >>So they just, you know, spend more dial it up. So in general, as they say, customers are are doing more with, with the same. Now let's look at the growth dynamic and spend some time on that. I think this is important. This data shows worldwide quarterly revenue growth rates back to Q1 2019 for the big four. So a couple of interesting things. The data tells us during the pandemic, you saw both AWS and Azure, but the law of large numbers and actually accelerate growth. AWS especially saw progressively increasing growth rates throughout 2021 for each quarter. Now that trend, as you can see is reversed in 2022 for aws. Now we saw Azure come down a bit, but it's still in the low forties in terms of percentage growth. While Google actually saw an uptick in growth this last quarter for GCP by our estimates as GCP is becoming an increasingly large portion of Google's overall cloud business. >>Now, unfortunately Google Cloud continues to lose north of 850 million per quarter, whereas AWS and Azure are profitable cloud businesses even though Alibaba is suffering its woes from China. And we'll see how they come in when they report in mid-November. The overall hyperscale market grew at 32% in Q3 in terms of worldwide revenue. So the slowdown isn't due to the repatriation or competition from on-prem vendors in our view, it's a macro related trend. And cloud will continue to significantly outperform other sectors despite its massive size. You know, on the repatriation point, it just still doesn't show up in the data. The A 16 Z article from Sarah Wong and Martin Martin Kasa claiming that repatriation was inevitable as a means to lower cost of good sold for SaaS companies. You know, while that was thought provoking, it hasn't shown up in the numbers. And if you read the financial statements of both AWS and its partners like Snowflake and you dig into the, to the, to the quarterly reports, you'll see little notes and comments with their ongoing negotiations to lower cloud costs for customers. >>AWS and no doubt execs at Azure and GCP understand that the lifetime value of a customer is worth much more than near term gross margin. And you can expect the cloud vendors to strike a balance between profitability, near term profitability anyway and customer attention. Now, even though Google Cloud platform saw accelerated growth, we need to put that in context for you. So GCP, by our estimate, has now crossed over the $3 billion for quarter market actually did so last quarter, but its growth rate accelerated to 42% this quarter. And so that's a good sign in our view. But let's do a quick little comparison with when AWS and Azure crossed the $3 billion mark and compare their growth rates at the time. So if you go back to to Q2 2016, as we're showing in this chart, that's around the time that AWS hit 3 billion per quarter and at the same time was growing at 58%. >>Azure by our estimates crossed that mark in Q4 2018 and at that time was growing at 67%. Again, compare that to Google's 42%. So one would expect Google's growth rate would be higher than its competitors at this point in the MO in the maturity of its cloud, which it's, you know, it's really not when you compared to to Azure. I mean they're kind of con, you know, comparable now but today, but, but you'll go back, you know, to that $3 billion mark. But more so looking at history, you'd like to see its growth rate at this point of a maturity model at least over 50%, which we don't believe it is. And one other point on this topic, you know, my business friend Matt Baker from Dell often says it's not a zero sum game, meaning there's plenty of opportunity exists to build value on top of hyperscalers. >>And I would totally agree it's not a dollar for dollar swap if you can continue to innovate. But history will show that the first company in makes the most money. Number two can do really well and number three tends to break even. Now maybe cloud is different because you have Microsoft software estate and the power behind that and that's driving its IAS business and Google ads are funding technology buildouts for, for for Google and gcp. So you know, we'll see how that plays out. But right now by this one measurement, Google is four years behind Microsoft in six years behind aws. Now to the point that cloud will continue to outpace other markets, let's, let's break this down a bit in spending terms and see why this claim holds water. This is data from ET r's latest October survey that shows the granularity of its net score or spending velocity metric. >>The lime green is new adoptions, so they're adding the platform, the forest green is spending more 6% or more. The gray bars spending is flat plus or minus, you know, 5%. The pinkish colors represent spending less down 6% or worse. And the bright red shows defections or churn of the platform. You subtract the reds from the greens and you get what's called net score, which is that blue dot that you can see on each of the bars. So what you see in the table insert is that all three have net scores above 40%, which is a highly elevated measure. Microsoft's net scores above 60% AWS well into the fifties and GCP in the mid forties. So all good. Now what's happening with all three is more customers are keep keeping their spending flat. So a higher percentage of customers are saying, our spending is now flat than it was in previous quarters and that's what's accounting for the compression. >>But the churn of all three, even gcp, which we reported, you know, last quarter from last quarter survey was was five x. The other two is actually very low in the single digits. So that might have been an anomaly. So that's a very good sign in our view. You know, again, customers aren't repatriating in droves, it's just not a trend that we would bet on, maybe makes for a FUD or you know, good marketing head, but it's just not a big deal. And you can't help but be impressed with both Microsoft and AWS's performance in the survey. And as we mentioned before, these companies aren't going to give up customers to try and preserve a little bit of gross margin. They'll do what it takes to keep people on their platforms cuz they'll make up for it over time with added services and improved offerings. >>Now, once these companies acquire a customer, they'll be very aggressive about keeping them. So customers take note, you have negotiating leverage, so use it. Okay, let's look at another cut at the cloud market from the ETR data set. Here's the two dimensional view, again, it's back, it's one of our favorites. Net score or spending momentum plotted against presence. And the data set, that's the x axis net score on the, on the vertical axis, this is a view of et r's cloud computing sector sector. You can see we put that magic 40% dotted red line in the table showing and, and then that the table inserts shows how the data are plotted with net score against presence. I e n in the survey, notably only the big three are above the 40% line of the names that we're showing here. The oth there, there are others. >>I mean if you put Snowflake on there, it'd be higher than any of these names, but we'll dig into that name in a later breaking analysis episode. Now this is just another way of quantifying the dominance of AWS and Azure, not only relative to Google, but the other cloud platforms out there. So we've, we've taken the opportunity here to plot IBM and Oracle, which both own a public cloud. Their performance is largely a reflection of them migrating their install bases to their respective public clouds and or hybrid clouds. And you know, that's fine, they're in the game. That's a point that we've made, you know, a number of times they're able to make it through the cloud, not whole and they at least have one, but they simply don't have the business momentum of AWS and Azure, which is actually quite impressive because AWS and Azure are now as large or larger than IBM and Oracle. >>And to show this type of continued growth that that that Azure and AWS show at their size is quite remarkable and customers are starting to recognize the viability of on-prem hi, you know, hybrid clouds like HPE GreenLake and Dell's apex. You know, you may say, well that's not cloud, but if the customer thinks it is and it was reporting in the survey that it is, we're gonna continue to report this view. You know, I don't know what's happening with H P E, They had a big down tick this quarter and I, and I don't read too much into that because their end is still pretty small at 53. So big fluctuations are not uncommon with those types of smaller ends, but it's over 50. So, you know, we did notice a a a negative within a giant public and private sector, which is often a, a bellwether giant public private is big public companies and large private companies like, like a Mars for example. >>So it, you know, it looks like for HPE it could be an outlier. We saw within the Fortune 1000 HPE E'S cloud looked actually really good and it had good spending momentum in that sector. When you di dig into the industry data within ETR dataset, obviously we're not showing that here, but we'll continue to monitor that. Okay, so where's this Leave us. Well look, this is really a tactical story of currency and macro headwinds as you can see. You know, we've laid out some of the points on this slide. The action in the stock market today, which is Friday after some of the soft earnings reports is really robust. You know, we'll see how it ends up in the day. So maybe this is a sign that the worst is over, but we don't think so. The visibility from tech companies is murky right now as most are guiding down, which indicates that their conservative outlook last quarter was still too optimistic. >>But as it relates to cloud, that platform is not going anywhere anytime soon. Sure, there are potential disruptors on the horizon, especially at the edge, but we're still a long ways off from, from the possibility that a new economic model emerges from the edge to disrupt the cloud and the opportunities in the cloud remain strong. I mean, what other path is there? Really private cloud. It was kind of a bandaid until the on-prem guys could get their a as a service models rolled out, which is just now happening. The hybrid thing is real, but it's, you know, defensive for the incumbents until they can get their super cloud investments going. Super cloud implying, capturing value above the hyperscaler CapEx, you know, call it what you want multi what multi-cloud should have been, the metacloud, the Uber cloud, whatever you like. But there are opportunities to play offense and that's clearly happening in the cloud ecosystem with the likes of Snowflake, Mongo, Hashi Corp. >>Hammer Spaces is a startup in this area. Aviatrix, CrowdStrike, Zeke Scaler, Okta, many, many more. And even the projects we see coming out of enterprise players like Dell, like with Project Alpine and what Pure Storage is doing along with a number of other of the backup vendors. So Q4 should be really interesting, but the real story is the investments that that companies are making now to leverage the cloud for digital transformations will be paying off down the road. This is not 1999. We had, you know, May might have had some good ideas and admittedly at a lot of bad ones too, but you didn't have the infrastructure to service customers at a low enough cost like you do today. The cloud is that infrastructure and so far it's been transformative, but it's likely the best is yet to come. Okay, let's call this a rap. >>Many thanks to Alex Morrison who does production and manages the podcast. Also Can Schiffman is our newest edition to the Boston Studio. Kristin Martin and Cheryl Knight helped get the word out on social media and in our newsletters. And Rob Ho is our editor in chief over@siliconangle.com, who does some wonderful editing for us. Thank you. Remember, all these episodes are available as podcasts. Wherever you listen, just search breaking analysis podcast. I publish each week on wiki bond.com at silicon angle.com. And you can email me at David dot valante@siliconangle.com or DM me at Dante or comment on my LinkedIn posts. And please do checkout etr.ai. They got the best survey data in the enterprise tech business. This is Dave Valante for the Cube Insights powered by etr. Thanks for watching and we'll see you next time on breaking analysis.

(mid tempo digital music) >> Welcome to today's session of theCUBE' presentation of the AWS startup showcase. This is New Breakthroughs and DevOps, Data Analytics, and Cloud Management Tools. The segment is featuring Rockset and we're going to be talking about data analytics. I'm your host, Lisa Martin, and today I'm joined by one of our alumni, Venkat Venkataramani, the co-founder and CEO of Rockset, and Carl Sjogreen, the co-founder and CPO of Seesaw Learning. We're going to be talking about the fast path to real-time analytics at Seesaw. Guys, Thanks so much for joining me today. >> Thanks for having us >> Thank you for having us. >> Carl, let's go ahead and start with you. Give us an overview of Seesaw. >> Yeah, so Seesaw is a platform that brings educators, students, and families together to create engaging and learning experiences. We're really focused on elementary aged students, and have a suite of creative tools and engaging learning activities that helps get their learning and ideas out into the world and share that with family members. >> And this is used by over 10 million teachers and students and family members across 75% of the schools in the US and 150 countries. So you've got a great big global presence. >> Yeah, it's really an honor to serve so many teachers and students and families. >> I can imagine even more so now with the remote learning being such a huge focus for millions and millions across the country. Carl, let's go ahead and get the backstory. Let's talk about data. You've a ton of data on how your product is being used across millions of data points. Talk to me about the data goals that you set prior to using Rockset. >> Yeah, so, as you can imagine with that many users interacting with Seesaw, we have all sorts of information about how the product is being used, which schools, which districts, what those usage patterns look like. And before we started working with Rockset, a lot of data infrastructure was really custom built and cobbled together a bit over the years. We had a bunch of batch jobs processing data, we were using some tools, like Athena, to make that data visible to our internal customers. But we had a very sort disorganized data infrastructure that really as we've grown, we realized was getting in the way of helping our sales and marketing and support and customer success teams, really service our customers in the way that we wanted to past. >> So operationalizing that data to better serve internal users like sales and marketing, as well as your customers. Give me a picture, Carl, of those key technology challenges that you knew you needed to solve. >> Yeah, well, at the simplest level, just understanding, how an individual school or district is using Seesaw, where they're seeing success, where they need help, is a critical question for our customer support teams and frankly for our school and district partners. a lot of what they're asking us for is data about how Seesaw is being used in their school, so that they can help target interventions, They can understand where there is an opportunity to double down on where they are seeing success. >> Now, before you found Rockset, you did consider a more traditional data warehouse approach, but decided against it. Talk to me about the decision why was a traditional data warehouse not the right approach? >> Well, one of the key drivers is that, we are heavy users of DynamoDB. That's our main data store and has been tremendous aid in our scaling. Last year we scaled with the transition to remote learning, most of our metrics by, 10X and Dynamo didn't skip a beat, it was fantastic in that environment. But when we started really thinking about how to build a data infrastructure on top of it, using a sort of traditional data warehouse, a traditional ETL pipeline, it wasn't going to require a fair amount of work for us to really build that out on our own on top of Dynamo. And one of the key advantages of Rockset was that it was basically plug and play for our Dynamo instance. We turned Rockset on, connected it to our DynamoDB and were able within hours to start querying that data in ways that we hadn't before. >> Venkat let's bring you into the conversation. Let's talk about the problems that you're solving for Seesaw and also the complimentary relationship that you have with DynamoDB. >> Definitely, I think, Seesaw, big fan of the product. We have two kids in elementary school that are active users, so it's a pleasure to partner with Seesaw here. If you really think about what they're asking for, what Carl's vision was for their data stack. The way we look at is business observability. They have many customers and they want to make sure that they're doing the right thing and servicing them better. And all of their data is in a very scalable, large scale, no SEQUEL store like DynamoDB. So it makes it very easy for you to build applications, but it's very, very hard to do analytics on it. Rockset had comes with all batteries included, including real-time data connectors, with Amazon DynamoDB. And so literally you can just point Rockset at any of your Dynamo tables, even though it's a no SEQUEL store, Rockset will in real time replicate the data and automatically convert them into fast SEQUEL tables for you to do analytics on. And so within one to two seconds of data getting modified or new data arriving in DynamoDB from your application, within one to two seconds, it's available for query processing in Rockset with full feature SEQUEL. And not just that, I think another very important aspect that was very important for Seesaw is not just that they wanted me to do batch analytics. They wanted their analytics to be interactive because a lot of the time we just say something is wrong. It's good to know that, but oftentimes you have a lot more followup questions. Why is it wrong? When did it go wrong? Is it a particular release that we did? Is it something specific to the school district? Are they trying to use some part of the product more than other parts of the product and struggling with it? Or anything like that. It's really, I think it comes down to Seesaw's and Carl's vision of what that data stack should serve and how we can use that to better serve the customers. And Rockset's indexing technology, and whatnot allows you to not only get real-time in terms of data freshness, but also the interactivity that comes in ad-hoc drilling down and slicing and dicing kind of analytics that is just our bread and butter . And so that is really how I see not only us partnering with Seesaw and allowing them to get the business observerbility they care about, but also compliment Dynamo transactional databases that are massively scalable, born in the cloud, like DynamoDB. >> Carl talked to me about that complimentary relationship that Venkat just walked us through and how that is really critical to what you're trying to deliver at Seesaw. >> Yeah, well, just to reiterate what Venkat said, I think we have so much data that any question you ask about it, immediately leads to five other questions about it. We have a very seasonal business as one example. Obviously in the summertime when kids aren't in school, we have very different usage patterns, then during this time right now is our critical back to school season versus a steady state, maybe in the middle of the school year. And so really understanding how data is trending over time, how it compares year over year, what might be driving those things, is something that frankly we just haven't had the tools to really dig into. There's a lot about that, that we are still beginning to understand and dig into more. And so this iterative exploration of data is incredibly powerful to expose to our product team, our sales and marketing teams to really understand where Seesaw's working and where we still have work do with our customers. And that's so critical to us doing a good job for schools in districts. >> And how long have you been using Rockset, Carl? >> It's about six months now, maybe a little bit longer. >> Okay, so during the pandemic. So talk to me a little bit about in the last 18 months, where we saw the massive overnight transition to remote learning and there's still a lot of places that are in that or a hybrid environment. How critical was it to have Rockset to fuel real-time analytics interactivity, particularly in a very challenging last 18 month time period? >> The last 18 months have been hard for everyone, but I think have hit teachers and schools maybe harder than anyone, they have been struggling with. And then, overnight transition to remote learning challenges of returning to the classroom hybrid learning, teachers and schools are being asked to stretch in ways they have never been stretched before. And so, our real focus last year was in doing whatever we could to help them manage those transitions. And data around student attendance in a remote learning situation, data around which kids were completing lessons and which kids weren't, was really critical data to provide to our customers. And a lot of our data infrastructure had to be built out to support answering those questions in this really crazy time for schools. >> I want to talk about the data set, but I'd like to go back to Venkat 'cause what's interesting about this story is Seesaw is a customer of Rockset, Venkat, is a customer of Seesaw. Talk to me Venkat about how this has been helpful in the remote learning that your kids have been going through the last year and a half. >> Absolutely. I have two sons, nine and ten year olds, and they are in fourth and fifth grade now. And I still remember when I told them that Seesaw is considering using Rockset for the analytics, they were thrilled, they were overjoyed because finally they understood what I do for a living. (chuckling) And so that was really amazing. I think, it was a fantastic dual because for the first time I actually understood what kids do at school. I think every week at the end of the week, we would use Seesaw to just go look at, "Hey, well, let's see what you did last week." And we would see not only what the prompts and what the children were doing in the classroom, but also the comments from the educators, and then they comment back. And then we were like, "Hey, this is not how you speak to an educators." So it was really amazing to actually go through that, and so we are very, very big fans of the product, we really look forward to using it, whether it is remote learning or not, we try to use it as a family, me, my wife and the kids, as much as possible. And it's a very constant topic of conversation, every week when we are working with the kids and seeing how we can help them. >> So from an observability perspective, it sounds like it's giving parents and teachers that visibility that really without it, you don't get. >> That's absolutely correct . I think the product itself is about making connections, giving people more visibility into things that are constantly happening, but you're not in the know. Like, before Seesaw, I used to ask the kids, "How was school today? "what happened in the class?" And they'll say, "It was okay." It would be a very short answer, it wouldn't really have the depth that we are able to get from Seesaw. So, absolutely. And so it's only right that, that level of observability and that level of... Is also available for their business teams, the support teams so that they can also service all the organizations that Seesaw's working with, not only the parents and the educators and the students that are actually using the product. >> Carl, let's talk about that data stack And then I'm going to open the can on some of those impacts that it's making to your internal folks. We talked about DynamoDB, but give me an visual audio, visual picture of the data stack. >> Yeah. So, we use DynamoDB as our database of record. We're now in the process of centralizing all of our analytics into Rockset. So that rather than having different BaaS jobs in different systems, querying that data in different ways, trying to really set Rockset up as the source of truth for analytics on top of Dynamo. And then on top of Rockset, exposing that data, both to internal customers for that interactive iterative SEQUEL style queries, but also bridging that data into the other systems our business users use. So Salesforce, for example, is a big internal tool and have that data now piped into Salesforce so that a sales rep can run a report on a prospect to reach out to, or a customer that needs help getting started with Seesaw. And it's all plumbed through the Rockset infrastructure. >> From an outcome standpoint, So I mentioned sales and marketing getting that visibility, being able to act on real time data, how has it impacted sales in the last year and a half? six months rather since , it's now since months using it. >> Well, I don't know if I can draw a direct line between those things, but it's been a very busy year for Seesaw, as schools have transitioned to remote learning. And our business is really largely driven by teachers discovering our free product, finding it valuable in their classroom, and then asking their school or district leadership to purchase a school wide subscription. It's a very bottoms up sales motion. And so data on where teachers are starting to use Seesaw is the key input into our sales and marketing discussions with schools and districts. And so understanding that data quickly in real time is a key part of our sales strategy and a key part of how we grow at Seesaw over time. >> And it sounds like Rockset is empowering those users, the sales and marketing folks to really fine tune their interactions with existing customers, prospective customers. And I imagine you on the product side in terms of tuning the product. What are some of the things Carl that you've learned in the last six months that have helped you make better decisions on what you want Seesaw to deliver in the future? >> Well, one of the things that I think has been really interesting is how usage patterns have changed between the classroom and remote learning. We saw per student usage of Seesaw increased dramatically over the past year, and really understanding what that means for how the product needs to evolve to better meet teacher needs, to help organize that information, since it's now a lot more of it, really helped motivate our product roadmap over the last year. We launched a new progress dashboard that helps teachers get an added glance view of what's happening in their classroom. That was really in direct response to the changing usage patterns, that we were able to understand with better insights into data. >> And those insights allow you to pivot and iterate on the product. Venkat I want to just go back to the AWS relationship for a second. You both talked about the complimentary nature of Rockset and DynamoDB. Here we are at the AWS Startup Showcase. Venkat just give the audience a little overview of the partnership that you guys have with AWS. >> Rockset fully runs on AWS, so we are customer of AWS. We are also a partner. There are lots of amazing cloud data products that AWS has, including DynamoDB or AWS Kinesis. And so one with which we have built in integrations. So if you're managing data in AWS, we compliment and we can provide, very, very fast interactive real-time analytics on all of your datasets. So the partnership has been wonderful, we're very excited to be in the Startup Showcase. And so I hope this continuous for years to come. >> Let's talk about the synergies between a Rockset and Seesaw for a second. I know we talked about the huge value of real time analytics, especially in today's world, where we've learned many things in the last year and a half, including that real-time analytics is no longer a nice to have for a lot of industries, 'cause I think Carl as you said, if you can't get access to the data, then there's questions we can't ask. Or we can't iterate on operations, if we wait seconds for every query to load, then there's questions we can't ask. Talk to me Venkat, about how Rockset is benefiting from what you're learning from Seesaw's usage of the technology? >> Absolutely. I mean, if you go to the first part of the question on why do businesses really go after real time. What is the drive here? You might have heard the phrase, the world is going from batch to real-time. What does it really mean? What's the driving factor there? Our take on it is, I think it's about accelerating growth. Seesaw's product being amazing and it'll continue to grow, it'll continue to be a very, very important product in the world. With or without Rockset, that will be true. The way we look at once they have real-time business observability, is that inherent growth that they have, they can reach more people, they can put their product in the hands of more and more people, they can iterate faster. And at the end of the day, it is really about having this very interesting platform, very interesting architecture to really make a lot more data driven decisions and iterate much more quickly. And so in batch analytics, if you were able to make, let's say five decisions a quarter, in real time analytics you can make five decisions a day. So that's how we look at it. So that is really, I think, what is the underpinnings of why the world is going from batch to real time. And what have we learned from having a Seesaw as a customer? I think Seesaw has probably one of the largest DynamoDB installations that we have looked at. I think, we're talking about billions and billions of records, even though they have tens of millions of active users. And so I think it has been an incredible partnership working with them closely, and they have had a tremendous amount of input on our product roadmap and some of that like role-based access control and other things have already being a part of the product, thanks to the continuous feedback we get from their team. So we're delighted about this partnership and I am sure there's more input that they have, that we cannot wait to incorporate in our roadmap. >> I imagine Venkat as well, you as the parent user and your kids, you probably have some input that goes to the Seesaw side. So this seems like a very synergistic relationship. Carl, a couple more questions for you. I'd love to know how in this... Here we are kind of back to school timeframe, We've got a lot of students coming back, they're still remote learning. What are some of the things that you're excited about for this next school year that do you think Rockset is really going to fuel or power for Seesaw? >> Yeah, well, I think schools are navigating yet another transition now, from a world of remote learning to a world of back to the classroom. But back to the classroom feels very different than it does at any other back to school timeframe. Many of our users are in first or second grade. We serve early elementary age ranges and some of those students have never been in a classroom before. They are entering second grade and never having been at school. And that's hard. That's a hard transition for teachers in schools to make. And so as a partner to those schools, we want to do everything we can to help them manage that transition, in general and with Seesaw in particular. And the more we can understand how they're using Seesaw, where they're struggling with Seesaw, as part of that transition, the more we can be a good partner to them and help them really get the most value out of Seesaw, in this new world that we're living in, which is sort of like normal, and in many ways not. We are still not back to normal as far as schools are concerned. >> I'm sure though, the partnership that you provide to the teachers and the students can be a game changer in these, and still navigating some very uncertain times. Carl, last question for you. I want you to point folks to where they can go to learn more about Seesaw, and how for all those parents watching, they might be able to use this with their families. >> Yeah, well, seesaw.me is our website, and you can go to seesaw.me and learn more about Seesaw, and if any of this sounds interesting, ask your teacher, if they're not using Seesaw, to give it a look. >> Seesaw.me, excellent. Venkat, same question for you. Where do you want folks to go to learn more about Rockset and its capabilities? >> Rockset.com is our website. There is a free trial for... $300 worth of free trial credits. It's a self service platform, you don't need to talk to anybody, all the pricing and everything is out there. So, if real-time analytics and modernizing your data stack is on your roadmap, go give it a spin. >> Excellent guys. Thanks so much for joining me today, talking about real-time analytics, how it's really empowering both the data companies and the users to be able to navigate in challenging waters. Venkat, thank you, Carl, thank you for joining us. >> Thanks everyone. >> Thanks Lisa. >> For my guests, this has been our coverage of the AWS Startup Showcase, New Breakthroughs in DevOps, Data Analytics and Cloud Management Tools. I am Lisa Martin. Thanks for watching. (mid tempo music)

>>Hold on. Welcome to this special cube conversation. I'm John ferry, host of the queue here in Palo Alto, California. Got a great deep dive conversation with multicloud, who we were featuring on our AWS showcase of cloud startups. Uh, Venkat Krista who's the CEO. And co-founder great to see you again and Candace Hendrix delivery architect at green pages, a partner customer. Great to see you. Thanks for coming on as always cube conversations are fun to get the deep dive. Good to see you. >>Oh, great to have, uh, have this opportunity, John. Thank you so much. Uh, Candace, thank you for joining us. It's been a pleasure work in pages, John, we're looking forward to this conversation today. >>Yeah. One of the things I'm really excited about that came out of our coupon cloud startups showcase was you guys talking about day two operations, which has been kicked around, but you guys drilled into it and put some quantification around the value proposition, but this is every company has a day to problem an opportunity and then usually our problems and most people see, but they're really opportunities to create this value proposition around something that's now going to be an operational, um, standard table-stakes. So let's get into it, take us through, uh, what you guys have with day two offers that, do a deep dive on this. Take, take it away. >>Thanks, John. Uh, John, we'll do a little bit of an involved conversation today. We'll switch between a little bit of a slide and, um, we are actually happy to show a quick demo as well. So our customers can, uh, what they see is what they get kind of demo. Um, so, uh, to give a quick background on context a day, two operations in the cloud are important for customers who are trying to get, uh, self-service provisioning, going standardization going, uh, have a way to help their developers move fast on the innovation. What we are experiencing now is developers are increasingly having a seat at the table and they would like their infrastructure architects and infrastructure solution providers to enable them to do things that they want to do with fewer friction points. What day two platform that we built does is it upskills our it teams so that they can deli work, uh, what the developers need so that the sandbox environments that they want comes to life quickly. >>And on top of that, developers can move fast with the innovation with guard rails that are in place, the guard rails that are it, administrators, it leaders are able to set for developers, include cost guard, rails, governance, guard, rails, security, and compliance guard rails, a, you know, bot based approach to getting out of the way of the developers so they can move fast while the, uh, technology provides them the Alcoa to go innovate without running into the common cloud problems, such as cost overruns or security or compliance challenges today, I'll go show and tell a little bit of all of this, and then we'll bring in partners or partner, canvas as well, so that she can talk about how we help the fortune 200, uh, innovate, uh, faster with our platform. >>Awesome. Well, let's get into it. I, you know, as you know, I, I think that day two operations is really a cloud, uh, lingua. Frank was going to be part of everyone's, uh, operational standard. And it's not just for making sure you've got cost-effectiveness, but innovation strategies that rely on cloud, they need to have new things in place. So take us through the show and tell. >>Great, well, let's switch to the slide deck here. So I'm going to give a quick background and then go from there. Great. So, um, uh, you know, Montclair is an intelligent cloud man and platform company. We help customers of all sizes. Uh, we are an AWS partner that is a cloud management tool, competency partner, super happy to be in a wedding on the AWS platform for AWS customers. Our platform is an autonomous cloud operations platform. What our mission is, we empower ID teams to go deliver to their developers and become cloud powerhouses. Uh, I'm going to go through a quick three sections of the Manticore platform that delivers value to our customers first with our platform without needing additional skillsets or hiring, uh, needing to hire, uh, you know, hard to find talent or having to use third party tools. Our customers can use AWS native solutions to achieve full visibility into their cloud environments. >>They can enable consistent self-service deployments and simplify them. They can also reduce the total cost of cloud operations, all in just a few clicks. Uh, I'm going to show and tell, uh, what customers get quickly moving into the slide where customers can get visibility into the footprint, a comprehensive security posture management and compliance posture management, click away and solve these problems. They can enable their innovation teams with operations ready environments that can provision anything from server-based workloads to serverless workloads, to containerized environments. All of that are available readily in the platform. And of course, uh, all of this can be done with a few clicks and no code. That's our platform. And a nutshell I'm happy to switch to a demo from here on John. How does that sound >>Great. Sounds awesome. Let's get the demo. Thanks for the overview. By the way, we cover that in a great video too, and a high level, um, in our new show startup showcase, people can check that out online, um, check it out, but let's get into the demo. >>Sounds good. So I'm going to switch to my laptop again here to show the browser window and go into the demo environment. Great. So this is Monte cloud.com. Uh, customers can go to app.monica.com. I'm going to move fast in a demo environment show and tell here, uh, customers split login, assuming they have signed up for the platform. It's free to sign up. Uh, the platform activates immediately. This is their full first run experience. Uh, customers can get started in about a couple of clicks. There's a welcome screen here. They can walk through this. What this provides is a way a guard had experience for customers to be able to gain visibility, security, compliance, and set up the cloud operations, uh, environment in just a couple of clicks. So in this case, customers can get continuous resource visibility. They click next from a security point of view, we'll assess about 2,220 plus security best practices and customers can select saying they would like to remediate the issues. >>We'll help do that. That's a bot based approach that does it click next compliance, a similar situation. We do compliance assessments in the platform. Customers can remediate it. Uh, click next. We have provisioning templates, John. We had a really good conversation yesterday about this, a whole set of, uh, well-architected, uh, templates that customers can click and provision anything from, uh, basic core networking, all the way up to high performance computing and minds that all is available in the platform. Again, click next to go select that customers can manage servers, windows, or Linux servers running on any cloud could be hybrid cloud, uh, Azure, AWS GCP. Again, we can manage them in a single interface and last but not the least application management, our ID operators and leaders want to have a position on how their cloud applications are performing. They want to react quickly to it best possible platform. Uh, that's it they've selected all the features. All the, which is free in the platform. Some features are available in the free trial. Customers can click and say they would like to try for 14 days. That's all. So click next platform sets itself up. This is how quick we can get to helping customers understanding what they need to do. I'm going to try and show you if I can go to the next screen here and say, this is my company name. >>So I'm going to enter some details here that, uh, helps, um, capture some basic information about, uh, our customers, uh, departments. Uh, let's say this is a demo account, or I'm going to say, um, HR, um, uh, account, let's say there's a human resources department that I'm trying to connect and manage their cloud environment, but click next >>And that's it. They connect to the AWS account. We now take our customers back to an AWS console where they're familiar interface. They're going to click next on this cloud formation stack here, which automatically starts creating what we need on the customer's account. And click, click a button here. It's going to run in the background, what my platform in this case, my view, the other view does is, uh, it instantly receives notification back from the customer's account. As you can see now, day two has recognized that, Hey, the customer is trying to connect the cloud account. It's a question. Do you want to manage these regions? We can manage 15 plus regions click next. Uh, that is pretty much it. Uh, I'm going to skip this one so that we can get to the dashboard. I'm going to skip this as well, because you can invite your team members. Uh, you can get weekly reports, uh, long story short, that's it about 10 clicks. We are already in, in a cloud environment where customers can begin to manage, operate and start taking control of the cloud footprint. >>Got it. And physical you, you skipped over the collaboration feature that's for what team members do. Kind of see the same dashboard. >>The great question. Uh, our customers can invite additional team members could be an educator who wants to look at the total cost of cloud operations. Uh, they could invite another team member who wants to be enabled only for certain parts of the platform. Very simple. We have SSO integration as well in the platform. So, uh, invite additional users start using day two in less than 10 minutes, no additional, uh, you know, configuration required. >>You know, Amazon's got that slogan always day one. You guys are always day to always go to >>About all about ensuring data was taken care of. >>Awesome. Great stuff. Candace, what's your take on this? How do you fit in here? Talk about what it's like to work with these guys. What's the, what's your perspective on this? A new multicloud day two operations dashboard. >>Hi, thank you, John. Hi, Ben Kat. Thank you very much for the introduction. Um, basically our interaction is collaborative and we're great team partners, and we work well with, with multicloud often and, and have been partners working together for quite some time and solutioning products for our clients. >>Great. Vinca you want to chime in as well and share some color commentary on, um, your partners value? >>Sure. Thanks Justin. So, uh, so green pages, uh, they offer cloud services and a whole suite of solutions to their customers. Some of the customers are ranging from fortune a hundred enterprises, uh, to a wide variety of customers. Perhaps we can actually switch over to a slide deck here, but Candace, if you're up for it, maybe we can walk through a liberal green pages and solutions that you've implemented. We can talk from the customer point of view, which we think would be more beneficial to our audience as well. >>Yes. Thank you. That's very helpful. Um, again, my name is Candice Hendrix and I'm a delivery architect here at green pages technology solutions. And what I'd like to do is share a few examples of collaboration that we have achieved through our partnership with Moni cloud first to give a better history of green pages we've been in business since 1992, we maintain a wide range of customer base, um, approximately 500 different, uh, customers and all different workflows from insurance to government to, um, um, manufacturing and the such. We've also made the CRN tech elite two 50 less for, uh, sense its inception in 2011. And basically what that is, is it's all of the companies and, or the top 250 companies in the U S and Canada, having the highest level of experience top of their game, maintaining the highest levels of training and certifications. We also offer managed services, support, professional services, cloud readiness assessments, and migrations, as well as growing a CSP or cloud service provider today, I would like to highlight a few innovative projects that we've executed with multicloud is our partner for AWS compliance needs as well as, um, AWS Dr. >>So this slide first outlines a business scenario that we dealt with with one of our clients to address cost security compliance standardization across a global AWS environment. And the challenge with this was that we experienced was the complexity of the cloud environment and the size of the environment and how can they stay compliant, optimize costs and scale the outcome with the teamwork of Mani cloud and green pages, we were able to achieve all the facets of the challenge, also enabling and, and creating what we coined it, the compliance bot and what that provided was a platform to easily parameterize some of the, um, options such as configurable schedules, configurable target servers, departments, um, options to choose between automated and manual remediation processes in compliance ability to choose whether that remediation process also, uh, auto reboots versus approval based reboots on, um, infrastructure or resources integrations into a Slack channel for manual remediation approval process, as well as daily noncompliance reporting the compliance bot also can ensure proper patching necessary agents required software versions and resources, um, that they maintain compliance through the use of tagging Lambda functions, AWS fleet manager, AWS config, and AWS CloudWatch. >>Uh, another, um, opportunity we've had to work with, um, Moni cloud in this use case, the scenario that the green pages customer needed to solve was the automation of Dr to address the requirement of an entire AWS regional failure within requirements was a RTO of four hours and an RPO of less than one minute uncertain ESE, two instances. So the challenge that we had was to develop this solution with only the use of AWS native services meeting the required RTO and RPO with no custom tooling integration. So with mighty clouds assistance and teamwork, what we were able to achieve is what we now refer to as the Dr. Bot, we solution the automation to replicate everything from their production, uh, environment in AWS to the Dr. Region in AWS, such as subnets, um, IP cider ranges, LAN IP addresses, security groups, load balancers, and all associated configuration settings. >>So with the pilot light scripting that runs daily through a Lambda function, we can manage those Delta copies into the Dr production or the Dr. Region from production and address any changes that may occur in the production environment to meet the RPO. What we used is cloud door, which is also a native AWS service. And we used AWS backup for the more static instances, we then created an integration to send any health alerts in the event of an AWS outage to their Slack channel. Then upon approval, um, they could kick off through a manual approval process. They could kick off and execute an end to end fail over from production to an AWS region and to their Dr. Region in AWS, both the compliance spot and the Dr. Bot automations can be ported and variabilize for any AWS environment. We welcome the opportunity to discuss this further and assist you in your cloud journey. I hope this explain some of the great innovation that we've been able to work with money cloud on. Thanks, Ben Capra, allowing me to speak and back to you. >>Thank you, Candace. This is fantastic. John Lassie Seesaw, right? The challenge with cloud operations is there's a lot of moving parts and, uh, visibility, compliance, security, uh, you know, all of that. Typically customers have to write custom code or integrate ten-plus tools, suddenly what, you know, customers we're seeing they're spinning up their own cloud operating teams. They're spinning up their own homegrown cloud operations model, which in invariably results in more attacks, symptoms of maintenance tasks, our platform can do all of this abstract, the complexity, and put this kind of automation within the reach of customers who are trying to transform their it departments by clicking away. That's the attack that we built on top. >>Yeah, I think that's a great example. I think Candace highlights some of the things we were talking about last time around intelligent applications, meeting, intelligent infrastructure, and to your point about operations, this comes up huge all the time in every conversation we're in and we're seeing it in the marketplace where there's a new operational model developing in real time. You're seeing people, um, homegrown ops, transforming ops. I mean, there's new roles and responsibilities are emerging and that's just the nature of the beast right now. This is kind of the new normal that it's not your traditional ops model. It's transitioning to a new, new way. This is a great example. Um, you see that the same way? >>Well, that's a, that's a great description, John you're right. That is the model that is evolving that, uh, once, um, that demands more from it teams and on the runway that is shrinking to transform and the cloud surface, it has grown how that's exactly where the becoming to help. And, uh, uh, we did do a little bit of a deep dive into what the platform does today to talk to our audience so that they can get this value. Thank you for that. Uh, you know, uh, depth in diving, happy to chat a little bit more if you'd like about, uh, where customers could go and that they can get started. >>Yeah. Looking forward to it. Vanco. Thanks for coming on, Candace. Thank you very much for sharing. Um, green pages. Congratulations. Love the Dr. Bot. That's phenomenal. I mean, I w I want a cube bottom. You're just doing these interviews is boss, but I'm looking forward to having a follow on conversation vanco. We're going to certainly see you out on the internet on Twitter. Um, maybe get you on our clubhouse, uh, chats, a lot of action out there. A lot of people talking about this, and you're seeing things from observability to new kinds of monitoring, to modern application development techniques that are just evolving in real time. So day two is here. Thanks for sharing. >>Looking forward, John, and, uh, where customers could go to is they could go to montclair.com today. They could get started in just a few place. We have a free version on the platform. They can activate this account in 10 months. They now have the power of the automation that we've built, and they can start taking control of the cloud operations in about 10 minutes. So we encourage persons to go find some free monitor.com and thank you candidates for taking the time, uh, uh, does it's fantastic that we'll be able to go solve some problems together. >>Mazi cloud turning teams into cloud powerhouses. That's their slogan. Check them out. I'm John Farrar with the cube. Thanks for watching.