Hey guys, what is up welcome to my channel for today's video. I got to pick out some items from Charlotte Tilbury. So we're gonna do kind of a try on haul style video talking about some Charlotte Tilbury goodies. So if you wanna see what I picked out then just keep watching. I am so excited and incredibly grateful to say that today's video is sponsored by Charlotte Tilbury. If you're newbie here, Charlotte Tilbury is one of my absolute favorite brands. I love the overall aesthetic of the type of looks that you get with Charlotte Tilbury. You know, flawless skin, glowy complexion. Quite frankly, I just think she makes you look flawless. I don't know, I just feel really good, really confident every time I do a full face of her makeup. So needless to say, I'm really excited about today's partnership. If you aren't familiar with Charlotte Tilbury, she's the world's number one makeup artist. She is bringing her expertise from the red carpet to give every man and woman the confidence to look and feel amazing. And fun fact, if you didn't know this, Charlotte Tilbury was the number one growth beauty brand in 2020 and I can tell you why. Because her products perform amazingly. Now is a really good time to shop on charlotteilbury.com because she is having her summer sale which has a lot of amazing bundle deals. So until August 16th, you can get 30% off select lines. And it's a page definitely worth checking out if you are interested in trying Charlotte Tilbury because there's a lot of bundle deals. And if you shop on charlotteilbury.com, you get free access to master classes taught by pro makeup artists, which is really, really neat. You know, expert makeup is made easy for everyone, everywhere and every day. I'm really excited to dig in and just talk about some Charlotte Tilbury favorites and some new items. Let's get in a little closer. So any item that you see that you are interested in picking up will be linked down below for your convenience and we're gonna get this hair out of my face. The first item that I picked out for today's video is the Charlotte's Magic Cream. Now a number of the items in this video aren't really new to me. I got some different shades of products that I already loved. Or as you know, I'm moving hopefully soon. So I am trying to get some products that is currently in my mom's collection that I really love to have for myself and to take with me. But one thing that I always, always order from Charlotte Tilbury is her Magic Cream. And I unboxed everything before this video to save time but I wanna show you this neat box. I know it's a little bit overexposed right now so you can't see the box quite well but look at that. We love this. I really love this as an everyday moisturizer or for pre-makeup prep. I'm actually not gonna open that one because I want to finish my baby one first so we're gonna use this. But it is the perfect lightweight moisturizer that I find to be very moisturizing. So it's not gonna be something extremely lightweight but it sinks into the skin quick enough that it's the perfect prep before makeup. Now you can also use this as skin care as well. I just love the way that this makes my makeup feel before makeup so I tend to use it almost as a primer and it's so good. I mean, I've been through many of these and it is pricey but for me, I find it to be worth it. My skin really reacts well to it. I do have sensitive skin and it doesn't make me break out and I have dry skin as well and like I said, it's the perfect level of thickness but it's still lightweight that it really does hydrate and prep the skin. I picked up a new color of the Airbrush Flawless Foundation. I love this. I feel like it's one of the most perfecting foundations in my collection. It's very, very full coverage but I absolutely love the way that it looks on camera so I love to use this before I film but the shade that I had was number four and it's really light so I wanted to try and see if I can get a deeper shade. Depending on the time of year, you know, I'm a little bit more tan right now so I picked up the shade five neutral so I hope this works for me. Let's find out. Keep in mind that this does oxidize. In case you are my shade or around my shade, I'm gonna swatch number four and number five next to each other so that you can see the difference. By the way, how gorgeous is this bottle? It's a very heavy glass bottle. It feels really luxe if you're into luxe packaging like I am. This one definitely is a little bit deeper. Okay, so this is shade number four and then this is shade number five. You can see it is a bit more deep. Not too terribly much as much as I was hoping but let's see how it looks on my skim. Now the thing with this foundation is it really does need a little bit of time to oxidize so what she does recommend is that you go lighter than what you would think you would need just because it does oxidize and I think oxidation is fine as long as the brand lets you know and gives you that head up, which total respect for. I probably just put way too much on. Like I said, this is an extremely perfecting foundation, a very full coverage but I really didn't put that much on it. A little bit goes a long way, I feel. This was one pump. I know I said number five wasn't as deep as I was hoping it would be compared to number four but I actually really do like this color on me. It is a bit light on my forehead but foreheads are most likely the most tan part on your face but it actually matches my skin pretty well. That worked out better than I was expecting, thumbs up.  I'm gonna turn the light down just a little bit so hopefully you can see better. There we go. Now you can really see how the foundation is looking. It's perfect, I love it. So if I'm going out for the evening or I need that extra coverage, this is my go-to foundation. I absolutely love it. The next product was the Magic Vanish Under Eye Corrector. This is another one that I purchased another shade of. So I picked up the shade medium today. First of all, how cute is this? Little mini Charlotte Tilbury product and here is what the medium looks like. I own the fair but I always thought it was a little bit too light and I wanted something that had a little bit more salmoniness to it so as you can see which one is the fair and which one is the medium. I enjoyed the fair a lot but on days that I was extra tired I did feel like I needed something with a little bit more salmon to it. Heechiness, you know? So I'm going to try this today. My under eyes aren't terrible today but I love how this just melts when you touch it. So this one is definitely for my skin tone for more heavy duty coverage. I find that with the light I can almost get away with not putting anything over top. It's a little bit more brightening as well. This one is definitely going to be more for actual color correcting on my skin tone especially right here is where I would need it as opposed to brightening. Like this I probably couldn't leave alone. That's going to help on really, really intense days. All right, so I'm going to put on some concealer, some eyebrows, set my face a little bit and then we're going to move on to the next product. As you can see I also did eyebrows. I used the Charlotte Tilbury Eyebrow products for my eyebrows today. Concealer, we're set. We're good to move on. The next product that I got is a new airbrush bronzer color. So I got the lightest shade in fair. I don't know. I wanted a lighter shade than what I already have which is number two medium. You can see there's a pretty big jump between light and medium. While I do like the medium shade a lot I've always wanted something a bit lighter. I do like to use multiple shades of bronzers. I don't always like just one. So here's what the light looks like and it definitely was a lot lighter than I was expecting comparing it to the number two medium. If you're very, very fair I feel like this is going to be awesome for you. I feel like there needs to be an in-between shape but let's see, let's see. This is still adding a little bit of depth to my face. Okay, this looks really good actually. Sometimes I'm not really into a very deep bronzer and I want something really light like this. Okay, this definitely does pull deeper on the cheek than it looks and it gives almost like a no makeup, makeup kind of look because it gives a very slight level of depth. Okay, I'm really, really happy with this. I think this is going to be really good if I'm wearing foundation that's maybe too light for me or maybe if it's like not the middle of summer. This will probably work well for me in the winter. But okay, this was what I was looking for. I know it seems like nothing but in person it looks really natural, really beautiful. Just like a very natural shaded look to the face. I find that I buy bronzers that are not too dark for me but they give you a real bronze and sometimes I don't want that. Sometimes I just want a little bit of depth. I also feel like this is going to be really good for contouring the nose. Now if you're around my shade and you're like Morgan, what shade do I get? I do recommend number two for you. This is just kind of like a bonus. Like you see how this looks really good contouring the nose. It doesn't look too harsh. I'm very happy that I ended up with this color. I was worried. It looks almost lighter than my skin but you truly can see that shadow. It looks super good. Got a new blush, I'm pumped for it. I really do enjoy Charlotte Tilbury blushes but I really don't own that many. I think I only own two. So I got a new shade to add to my personal collection which is the Cheek to Cheek in Pillow Talk. Now my mom owns this but I felt like I couldn't be a true Charlotte Tilbury fan without the Pillow Talk blush and I really like the Pillow Talk color because I feel like the center part, the pop shade can also be used as a highlight. I'm going to show you the different layers here. So this is just the outside ring. This is the pop shade and this is the two of them blended together. So I feel like the Pillow Talk shade really does have a lot of versatility. So I'm going to start off with the outer part and I'm going to blend this, focusing it on the back of the cheek and then blending it forward to the apple of the cheek. I'm using a Sonia G cheek brush from the new Lotus site. You guys know I've been using this a ton lately. How pretty is that shade? Just so wearable. I love the Charlotte Tilbury blushes because they're the perfect level of pigmentation. And they blend out so nice. Now I'm going to blend the two together. I'm going to put this on the apple of the cheek because it's going to give a little bit of a glow because the pop shade does have some glow to it. How pretty is that? I always go a little bit ham with my blush just because I like the look. Okay, I'm going to use my Sonia G detail brush and we're going to go into the pop shade only and I'm going to put this as my highlight for today. Now it doesn't necessarily highlight my face. I think if you have a deeper skin tone it will but it adds a glow when I turn my face. So it's more so about the finish that you get from this rather than the color. This blush is absolutely gorgeous. Like I said, I've had experience with it before and there's a reason that I wanted to add it to my collection. This is one of my favorite cheek to cheeks just because I feel like there's so much versatility with this shade. I picked up, I believe these are pretty much the final two eyeshadow quads that I didn't have in my collection. These are the luxury palettes and let me show you the two shades that I didn't have. Now my mom owns these so I've used them before, you've seen them before. They aren't sitting back here. So I now have Rock Chick, which I love gray tones now. I used to not love gray tones but now that I do I felt like this was the perfect time to add these to my collection. Here are what the swatches of Rock Chick look like. So if you're into gray tones, this is so pretty. I almost bought this at Sephora the other day and then I decided to wait for this haul. That one is really cute. And then I did get another one that I actually really, really loved and I've been meaning to buy this one for myself. This is Uptown Girl. It's similar to Rock Chick but because it has these two gray tones but it doesn't have some lighter champagne tones as well. I would say realistically, you don't need both of these because they are pretty close to one another and if I had to choose Uptown Girl would definitely be the one that I would get. Super pretty though, but these are close. Let me show you them side by side. Same kind of look though, as you can see but they are a bit different. Rock Chick is a little bit more deep. I think I've completed my entire Charlotte Tilbury Quad Collection by getting these still. I'm so excited. We're gonna put those on but I did wanna show you the next eye product that I got. This is a brand new product. It is the Eyes to Mesmerize in the shade Pillow Talk. At first I was like, I don't know, I already have a pink eyes to mesmerize but I seized the opportunity and I picked it up so it got a little bit melted and shipping. This is what it looks like. It's a cream shadow. I like to use these more so as bases or as simple washes of color. Here is what it looks like. It's a bit deeper, a bit more mauve-y than I was expecting. It looks beautiful. There's no traces of glitter in here. It's very, very smooth. So I'm gonna see how I can incorporate it into today's look. I'm gonna put a bit of eye primer on. Let's get to business. I'm gonna do something simple because these tones are so gray but my cheeks are so pink so I don't want it to be too gray. I'm gonna hop into the Uptown Girl and I'm gonna use this shade right here. It does have a shimmer to it but what's special about Charlotte Tilbury is her shimmer shades can be used in the crease without emphasizing too many of the fine lines. It really is such a unique formula. It doesn't contain shimmers that are going to emphasize those bumps in lines. It's just, it's not too metallic, which is perfect and she formulates them that way. That's the intention. She is not afraid of the shimmer in the crease that we are taught to be. I mean, her formula just proves that you don't need to abide by those rules. I'm gonna take a clean brush. We're gonna blend that out even more. Gonna bring that along the lower lash line. This is definitely an underrated Charlotte Tilbury quad. I really, really like this one a lot. We're gonna go into the deeper gray shade. This one is a bit more matte. I'd say it leans a little bit satin but compared to the other shades, it's the matte shade in here. Just putting that right in the outer corner for some extra definition to the eyes. Okay, let's dig into the eyes to mesmerize. I love the combination of pink and gray. So we're gonna do that on the eyes today. So this blank space that I've left on the lid, the eyes to mesmerize is going to fill up. Isn't that pretty? It's an unexpected duo but it looks so good. Let's use a brush to get a little bit more of a precise application. That's cute. We're gonna go in with the pop shade now and I'm gonna put this in the center of the eyelid right over top of that pink. And then finally, we're gonna use this shade right here. Gonna highlight the inner corner of the eye right beneath the brow bone. And I wanna add a little bit more depth right in the outer corner of the lash line. So I'm taking this refer brush, it's number 12. I'm just patting it right down here. Beautiful, I'm going to put on liner and lashes and we will be back to finish the lips. All right, we are onto the last two items. I picked up two lip sheets. I absolutely love her lip liner colors and both of these I've had before. So the first one that I chose was pillow talk medium two. This is actually the lip liner that I used on my wedding day. I got another one of these. This is a really great everyday lip liner to make your lips more juicy. I don't have this, I think my mom does. This is Love Trap, this is the second one. They kind of look very close. Now that I'm looking, it's a little bit more mauve-y purple-y whereas pillow talk medium is a little bit more warm. I'm gonna use Love Trap today. This is not part of what I picked up but I'm gonna use Super Nude on top. Okay, and here's the final look. I'm gonna back out and give you my final thoughts on all of the items that I got. Today's haul was really about refreshing items. I picked up a couple of things that I'd been wanting for a while. I picked up a number of things that I'd been wanting to try different colors of and I'm just really enhancing my Charlotte Tilbury collection and knowledge, so I hope you had fun hanging out with me trying the new Charlotte Tilbury products that I picked up, playing with more colors in the line and sharing some of my favorites with you. And again, a huge thank you to Charlotte Tilbury for sponsoring today's video. Again, if you are interested in anything that I spoke of today, it will be linked down in the description box. Definitely check out the site for her summer sale that she's having. You never know, there might be something of interest to you and if you aren't subscribed to my channel, I would absolutely love it if you would consider taking the time to do so and I will see you all in the next one. Bye guys, have a good one.


It's a multi-criteria spatial methodology aimed at helping practitioners, policymakers, scientific community NGOs plan their restoration in a smart way on the ground. So basically we are now in the era of restoration and we have several commitments at global scale, at local scale, at national scale and our point is the way you choose to do that on the ground. The places you're going to restore will make a huge difference between being something very expensive with limited benefits or being something cheaper with great deal of benefits and that's what the methodology tries to help. It tries to achieve the best cost benefits on your spatial prioritization. The interesting aspect is that both cost and benefits are defined by the users, are defined by the local communities, the national governments, the context you are working with because of course the benefit for you will be different from the benefit in another community. So the example I showed, we use carbon and biodiversity as the main benefits and then there's the cost of restoration and the cost of agricultural production as the main cost. But that is because it was defined by the government we were working with, the Brazilian government in that case. The main goal of the methodology is to be flexible enough to integrate any type of benefit you want and any type of cost and give you an optimal spatial prioritization. In other words, the multi-criteria can be understanding as multiple benefits and multiple costs. In the case I presented, we have two benefits, carbon and biodiversity, but our methodology is also capable of including water benefits, pollination, social benefits for local communities. So it's multi-criteria in the sense that you can define which criteria, which benefits you want to prioritize for and that should ideally be done through a multi-stakeholder engagement process. They will be the ones telling us what they want to be prioritized for. And then we run this custom-made linear programming model that we developed that will give back to the practitioners the optimal prioritization based on the goals they selected. And then there is again that's validated, if that's not good enough for any reason you run again. So it's an interactive process, but the multi-criteria is to achieve multiple goals at minimum cost.


David I have Annie here. She said for about half a year It started with a black dot in the right side of her vision and she said the past couple months It's grown to a black circle in the right side of her vision She could look over and see it and it was obstructing her vision. She said tonight. It completely disappeared She's looking for it and she cannot see it. Her vision has been completely healed Every time I went I look this way I can see the shadow of the black circle, but tonight I'm healed I'm so happy for what God has done for you lift your hands


From around the globe, it's theCUBE. Presenting enterprise digital resilience on hybrid and multi-cloud brought to you by IOTAHO. Hello everyone and welcome to our continuing series covering data automation brought to you by IOTAHO. Today we're going to look at how to ensure enterprise resilience for hybrid and multi-cloud. Let's welcome in Ajay Vajora who's the CEO of IOTAHO. Ajay, always good to see you again. Thanks for coming on. Great to be back, David, pleasure. And he's joined by Fadzi Ushawa Kunze who is a global principal architect for financial services, the vertical of financial services at Red Hat. He's got deep experiences in that sector. Welcome Fadzi, good to see you. Thank you very much. Happy to be here. Fadzi, let's start with you. Look, there are a lot of views on cloud and what it is. I wonder if you could explain to us how you think about what is a hybrid cloud and how it works. Sure, yes. So a hybrid cloud is an IT architecture that incorporates some degree of workload portability, orchestration and management across multiple clouds. Those clouds could be private clouds or public clouds or even your own data centers. And how does it all work? It's all about secure interconnectivity and on demand allocation of resources across clouds. And separate clouds can become hybrid when they're seamlessly interconnected. And it is that interconnectivity that allows the workloads to be moved and how management can be unified and orchestration can work. And how well you have these interconnections has a direct impact on how well your hybrid cloud will work. Okay, so well Fadzi, staying with you for a minute. So in the early days of cloud, that term private cloud was thrown around a lot, but it often just meant virtualization of an on-prem system and a network connection to the public cloud. Let's bring it forward. What in your view does a modern hybrid cloud architecture look like? Sure, so for modern hybrid clouds, we see that teams or organizations need to focus on the portability of applications across clouds. That's very important, right? And when organizations build applications, they need to build and deploy these applications as small collections of independently loosely coupled services. And then have those things run on the same operating system, which means in other words, running it on Linux everywhere and building cloud native applications and being able to manage and orchestrate these applications with platforms like Kubernetes or Reddit open shoot, for example. Okay, so that's Fadzi, that's definitely different from building a monolithic application that's fossilized and doesn't move. So what are the challenges for customers to get to that modern cloud as you've just described it? Is it skill sets? Is it the ability to leverage things like containers? What's your view there? So I mean, from what we've seen around the industry, especially around financial services where I spend most of my time, we see that the first thing that we see is management, right? Now, because you have all these clouds and all these applications, you have a massive array of connections, of interconnections. You also have massive array of integrations, portability and resource allocations as well. And then orchestrating all those different moving pieces, things like storage networks and things like that. Those are really difficult to manage, right? That's one, so management is the first challenge. The second one is workload placement. Where do you place this cloud? How do you place these cloud native applications? Do you, what do you keep on site or on-prem and what do you put in the cloud? That is the other challenge. The major one, the third one is security. Security now becomes the key challenge in concern for most customers. And we could talk about how to address that. Yeah, we're definitely going to dig into that. Let's bring AJ into the conversation. AJ, you and I have talked about this in the past.  Talk a little bit about how IOTAHO unifies data across both traditional systems, legacy systems, and it connects to these modern IT environments. Yeah, short day. I mean, if I had to just nailed it there, it used to be about data, the volume of data, and the different types of data, but as applications become more connected and interconnected, the location of that data really matters, how we serve that data up to those apps. So working with Red Hat and our partnership with Red Hat, being able to inject our data discovery, machine learning into these multiple different locations, whether it be an AWS or an IBM cloud or a GCP or on-prem, being able to automate that discovery and pulling that, that single view of where is all my data, then allows the CIO to manage costs that can do things like, one, I keep the data where it is on-premise or in my Oracle cloud or in my IBM cloud and connect the application that needs to feed off that data. And the way in which we do that is machine learning that learns over time as it recognizes different types of data, applies policies to classify that data and brings that all together with automation. Right, and that's one of the big themes that we've talked about this on earlier episodes is really simplification, really abstracting a lot of that heavy lifting away so we can focus on things, AJ, as you just mentioned. I mean, Fadzi, one of the big challenges that, of course, we all talk about is governance across these disparate data sets. I'm curious as your thoughts, how does Red Hat really think about helping customers adhere to corporate edicts and compliance regulations, which of course are particularly acute within financial services? Oh, yeah, yeah. So for banks and payment providers, like you've just mentioned there, insurers and many other financial services firms, they have to adhere to standards such as say PCI DSS and in Europe, you've got the GDPR, which requires stringent tracking, reporting, documentation, and for them to remain in compliance. And the way we recommend our customers to address these challenges is by having an automation strategy, right? And that type of strategy can help you to improve the security and compliance of your organization and reduce the risk after the business, right? And we help organizations build security and compliance from the start with our consulting services, residencies, we also offer courses that help customers to understand how to address some of these challenges. And thus also we help organizations build security into the applications with our open source and middleware, middleware offerings and even using a platform like OpenShift because it allows you to run legacy applications and also containerize applications in a unified platform, right? And also that provides you with the automation and the tooling that you need to continuously monitor, manage, and automate the systems for security and compliance purposes. AJ, any color you could add to this conversation? Yeah, I'm pleased to have brought up OpenShift. I mean, we're using OpenShift to be able to take that security application of controls to the data level, and it's all about context. So understanding what data is there, being able to assess it to say who should have access to it, which application permission should be applied to it. That's a great combination of Red Hat and Idaho. Patsy, what about multi-cloud? Doesn't that complicate the situation even further? Maybe you could talk about some of the best practices to apply automation across not only hybrid cloud, but multi-cloud as well. Yeah, sure, yeah. So the right automation solution can be the difference between cultivating an automated enterprise or automation chaos. And some of the recommendations we give our clients is to look for an automation platform that can offer the first thing is complete support. That means have an automation solution that provides, you know, promotes IT availability and reliability with your platform so that you can provide, you know, enterprise great support, including security and testing integration and clear roadmaps. The second thing is vendor interoperability in that you are going to be integrating multiple clouds. So you're going to need a solution that can connect to multiple clouds seamlessly, right? And with that comes the challenge of maintainability. So you're going to need to look into a automation solution that is easy to learn or has an easy learning curve. And then the fourth idea that we tell our customers is scalability. In the hybrid cloud space, scale is the big, big deal here. And you need to deploy an automation solution that can span across the whole enterprise in a consistent manner, right? And then also that allows you finally to integrate the multiple data centers that you have. So AJ, I mean, this is a complicated situation if a customer has to make sure things work on AWS or Azure or Google, they're going to spend all their time doing that. What can you add really to simplify that multi-cloud and hybrid cloud equation? Yeah, I can give a few customer examples here warming a manufacturer that we've worked with to drive that simplification and the real bonuses for them has been a reduction in cost. We worked with them late last year to bring the cost spend down by $10 million in 2021. So they could hit that reduced budget. And what we brought to that was the ability to deploy using OpenShift templates into their different environments, whether it was on-premise and or in, as you mentioned, AWS, they had GCP as well for their marketing team. And across those different platforms, being able to use a template, use pre-built scripts to get up and running and catalog and discover that data within minutes, it takes away the legacy of having teams of people having to jump on workshop calls. And I know we're all on a lot of teams, Zoom calls in these current times. They're just symphonies in the hours of the day to manually perform all of this. So yeah, working with Red Hat, applying machine learning into those templates, those little recipes that we can put that automation to work, regardless of which location the data's in, allows us to pull that unified view together. Great, thank you. Fazia, I want to come back to you. So the early days of cloud, you're in the big Apple financial services really well. Cloud was like an evil word within financial services. And obviously that's changed, it's evolved. We talk about the pandemic has even accelerated that. And when you really, you know, dug into it, when you talk to customers about their experiences with security in the cloud, it was not that it wasn't good, it was great, whatever, but it was different. And there's always this issue of skill, lack of skills and multiple tools, sec-op teams are really overburdened. But in the cloud requires, you know, new thinking. You've got the shared responsibility model. You've got to obviously have specific corporate, you know, requirements and compliance. So this is even more complicated when you introduce multiple clouds. So what are the differences that you can share from your experiences running on a, sort of either on-prem or on a mono cloud, or, you know, in versus across clouds? What do you suggest there?  So human error is what we want to avoid because as, you know, as your clouds grow with complexity and you put humans in the mix, then the rate of errors is going to increase and that is going to expose you to security threats. So this is when automation comes in because automation will streamline and increase the consistency of your infrastructure management, also application development and even security operations to improve and your protection, compliance and change control. So you want to consistently configure resources according to pre-approved, you know, pre-approved policies and you want to proactively maintain them in a, you know, repeatable fashion over the whole life cycle. And then you also want to rapid the identified system that require patches and reconfiguration and automate that process of patching and reconfiguring so that you don't have humans doing this type of thing, right? And you want to be able to easily apply patches and change our system settings according to a pre-defined baseline like I explained before, you know, with the pre-approved policies and also you want ease of auditing and troubleshooting, right? And from a radar perspective, we provide tools that enable you to do this. We have, for example, a tool called Ansible that enables you to automate data center operations and security and also deployment of applications and also Opyshift itself, you know, automates most of these things and obstructs the human beings from putting their fingers and causing, you know, potentially introducing errors, right? Now, in looking into the, you know, new world of multiple clouds and so forth, the differences that we're seeing here between running a single cloud or on-prem is three main areas, which is control, security and compliance, right? Control here, it means if you're on-premise or you have one cloud, you know, in most cases you have control over your data and your applications, especially if you're on-prem. However, if you're in the public cloud, there is a difference. They're the ownership, it is still yours, but your resources are running on somebody else's or the public clouds, EWS and so forth infrastructure. So people that are going to do this need to really, especially banks and governments, need to be aware of the regulatory constraints of running those applications in the public cloud. And we also help customers rationalize some of these choices. And also on security, you will see that if you're running on-premises or in a single cloud, you have more control, especially if you're on-prem, you can control the sensitive information that you have. However, in the cloud, that's a different situation, especially from personal information of employees and things like that, you need to be really careful of that. And also, again, we help you rationalize some of those choices. And then the last one is compliance. As well, you see that if you're running on-prem or in single cloud, regulations come into play again, right? And if you're running on-prem, you have control over that. You can document everything. You have access to everything that you need. But if you're going to go to the public cloud, again, you need to think about that. We have automation and we have standards that can help you address some of these challenges where security can comply. So that's really strong insights, Fadzi. I mean, first of all, Ansible has a lot of market momentum. You know, Red Hat's done a really good job with that acquisition. Your point about repeatability is critical because you can't scale otherwise. And then that idea, you're putting forth around control, security and compliance, it's so true. As I called it, the shared responsibility model. And there was a lot of misunderstanding in the early days of cloud. I mean, yeah, maybe AWS is going to physically secure the S3 in the bucket, but we saw so many misconfigurations early on. And so it's key to have partners that really understand this stuff and can share the experiences of other clients. So this all sounds great, AJ.  What about the economics? Our survey data shows that security, it's at the top of the spending priority list, but budgets are stretched thin. I mean, especially when you think about the work from home pivot and all the areas that they had, the holes that they had to fill there, whether it was laptops, new security models, et cetera. So how do organizations pay for this? What's the business case look like in terms of maybe reducing infrastructure costs so I can pay it forward or there's a risk reduction angle, what can you share there? Yeah, I mean, the perspective I'd like to give here is not being multi-cloud as multi-copies of an application or data. When I think back 20 years, a lot of the work in financial services I was looking at was managing copies of data that were feeding different pipelines, different applications. Now, what we're seeing at Idaho, a lot of the work that we're doing is reducing the number of copies of that data. So that if I've got a product lifecycle management set of data, if I'm a manufacturer, I'm just gonna keep that in one location. But across my different clouds, I'm gonna have best of breed applications developed in-house, third parties in collaboration with my supply chain, connecting securely to that single version of the truth. What I'm not gonna do is to copy that data. So a lot of what we're seeing now is that interconnectivity using applications built on Kubernetes and that decoupled from the data source that allows us to reduce those copies of data. Within that, you're gaining from the security, capability and resilience because you're not leaving yourself open to those multiple copies of data. And with that comes cost of storage and cost of compute. So what we're seeing is using multi-cloud to leverage the best of what each cloud platform has to offer. And that goes all the way to Snowflake and Heroku on cloud managed databases too. Well, and the people cost too as well when you think about, yes, the copy creep, but then when something goes wrong, a human has to come in and figure it out. You brought up Snowflake, you get this vision of the data cloud, which is data, I think this, we're going to be rethinking, A.J., data architectures in the coming decade where data stays, where it belongs, it's distributed and you're providing access. Like you said, you're separating the data from the applications, applications, as we talked about with Fodzi, much more portable. So it's really the last 10 years will be different than the next 10 years, A.J. Definitely. I think the people cost production is used. Gone are the days where you needed to have a dozen people governing, managing and planning policies to data. A lot of that repetitive work, those tasks can be in our automated. We've seen examples in insurance where we've reduced teams of 15 people working in the back office, trying to apply security controls, compliance down to just a couple of people who are looking at the exceptions that don't fit. And that's really important because maybe two years ago, the emphasis was on regulatory compliance of data with policies such as GDPR and CCPA. Last year, very much the economic effect of reduced headcounts and enterprises running lean, looking to reduce that cost. This year, we can see that already some of the more proactive companies are looking at initiatives such as net zero emissions. How do they use data to understand how they can become more, have a better social impact and using data to drive that. And that's across all of their operations and supply chain. So those regulatory compliance issues that may have been external, we see similar patterns emerging for internal initiatives that are benefiting the environment, social impact and of course costs. Great perspectives. Jeff Hamerbacher once famously said the best minds of my generation are trying to get people to click on ads and AJ, those examples that you just gave of social good and moving things forward are really critical. And I think that's where data is going to have the biggest societal impact. Okay guys, great conversation. Thanks so much for coming in the program. Really appreciate your time. All right, keep it right there for more insight and conversation around creating a resilient digital business model. You're watching theCUBE. Digital resilience automated. Compliance, privacy and security for your multi-cloud. Congratulations, you're on the journey. You have successfully transformed your organization by moving to a cloud-based platform to ensure business continuity in these challenging times. But as you scale your digital activities, there is an inevitable influx of users that outpaces traditional methods of cybersecurity, exposing your data to underlying threats and making your company susceptible to ever greater risk. To become digitally resilient, have you applied controls to your data continuously throughout the data life cycle? What are you doing to keep your customer and supplier data private and secure? IOTAHO's automated sensitive data discovery is pre-programmed with over 300 existing policies that meet government-mandated risk and compliance standards. These automate the process of applying policies and controls to your data. Our algorithm-driven recommendation engine alerts you to risk exposure at the data level and suggests the appropriate next steps to remain compliant and ensure sensitive data is secure. Unsure about where your organization stands in terms of digital resilience. Sign up for our minimal cost, commitment-free data health check. Let us run our sensitive data discovery on key unmapped data silos and sources to give you a clear understanding of what's in your environment. Booktime with an IOTAHO engineer now. Okay, let's now get into the next segment where we'll explore data automation but from the angle of digital resilience within an as-a-service consumption model. We're now joined by Yusef Khan, who heads data services for IOTAHO and Suresh Kanyapan, who's the vice president and head of U.S. sales at Happiest Minds. Gents, welcome to the program. Great to have you on theCUBE. Thank you, David. Suresh, you guys talk about at Happiest Minds this notion of born digital, born agile. I like that, but talk about your mission at the company. Sure, in 2011, Happiest Minds is a born digital, born agile company. The reason is that we are focused on customers. Our customer-centric approach and delivering digital and seamless solutions have helped us be in the race along with the tier one providers. Our mission, Happiest People, Happiest Customers, is focused to enable customer happiness through people happiness. We have been ranked among the top 25 IT services company in the great places to work survey. Our Glassdoor ratings of 4.1 against the rating of five is among the top in the Indian IT services company. That shows the mission and the culture what we have built on the values, right? This sharing, mindful, integrity, learning and social responsibilities are the core values of our company and that's where the entire culture of the company has been built. That's great. It sounds like a happy place to be. Now, Yusef, you had updated services for IOTAHO. We've talked in the past, of course you're out of London. What's your day-to-day focus with customers and partners? What are you focused on? Well, David, my team work daily with customers and partners to help them better understand their data, improve their data quality, their data governance and help them make that data more accessible in a self-service kind of way to the stakeholders within those businesses. And this is all a key part of digital resilience that we'll come on to talk about a bit later. You're right. I mean, that self-service theme is something that we're going to really accelerate this decade, Yusef. And so, but I wonder before we get into that, maybe you could talk about the nature of the partnership with Happiest Minds. You know, why do you guys choose to work closely together? Very good question. We see IOTAHO and Happiest Minds as a great mutual fit. As Suresh has said, Happiest Minds are a very agile organization. I think that's one of the key things that attracts their customers. And IOTAHO is all about automation. We're using machine learning algorithms to make data discovery, data cataloging, understanding data redundancy much easier and we're enabling customers and partners to do it much more quickly. So when you combine our emphasis on automation with the emphasis on agility that Happiest Minds have, that's a really nice combination. Work works very well together, very powerful. I think the other things that are key are both businesses, as Suresh has said, are really innovative, digital native-type companies, very focused on newer technologies, the cloud, et cetera. And then finally, I think they're both challenger brands and Happiest Minds have a really positive, fresh, ethical approach to people and customers that really resonates with us at IOTAHO too. It's great, thank you for that. Suresh, let's get into the whole notion of digital resilience. I want to sort of set it up with what I see and maybe you can comment. Be prior to the pandemic, a lot of customers that kind of equated disaster recovery with their business continuance or business resilience strategy and that's changed almost overnight. How have you seen your clients respond to that what I sometimes call the forced march to become a digital business? And maybe you could talk about some of the challenges that they've faced along the way. Absolutely. So especially during this pandemic times, when you see Dave, customers have been having tough times managing their business. So Happiest Minds being a digital resilient company. We were able to react much faster in the industry apart from the other services company. So one of the key things is the organizations trying to adopt onto the digital technologies, right? There has been a lot of data which has been to be managed by these customers and there have been a lot of threats and risk which has been to be managed by the CIOs. So Happiest Minds, digital resilient technology, right? Where we bring in the data compliance as a service, we were able to manage the resilience much ahead of other competitors in the market. We were able to bring in our business continuity processes from day one where we were able to deliver our services without any interruption to the services what we were delivering to our customers. So that is where the digital resilience with business continuity process enabled was very helpful for us to enable our customers continue their business without any interruptions during pandemics. So, I mean, some of the challenges that customers tell me, I mean, obviously I had to figure out how to get laptops to remote workers and that whole remote work from home pivot, figure out how to secure the end points and those were kind of looking back there kind of table stakes. But, and it sounds like you've got a, I mean, digital business means a data business putting data at the core, I like to say. But so I wonder if you could talk a little bit more about maybe the philosophy you have toward digital resilience and the specific approach you take with clients. Absolutely, Dave. See any organization data becomes the key. And that's for the first step is to identify the critical data, right? So this is a six step process what we follow in happiest minds. First of all, we take stock of the current state. Though the customers think that they have a clear visibility of their data. However, we do more of an assessment from an external point of view and see how critical their data is. Then we help the customers to strategize that, right? The most important thing is to identify the most important critical asset, data being the most critical asset for any organization. Identification of the data is a key for the customers. Then we help in building a viable operating model to ensure these identified critical assets are secured and monitored duly so that they are consumable as well as protected from external threats. Then as a fourth step, we try to bring in awareness to the people we train them at all levels in the organization that is a key for people to understand the importance of the digital assets. And then as a fifth step, we work as a backup plan in terms of bringing in a very comprehensive and a holistic testing approach on people process as well as in technology to see how the organization can withstand during a crisis time. And finally, we do a continuous governance of these data which is a key, right? It is not just a one step process. We set up the environment, we do the initial analysis and set up the strategy and continuously govern these data to ensure that they are not only managed well, secured as well as they also have to meet the compliance requirements of the organizations, right? That is where we help organizations to secure and meet the regulations of the organizations as per the privacy laws. So this is a constant process. It's not a one-time effort. We do a constant process because every organization goes towards the digital journey and they have to face all these as part of the evolving environment on digital journey. And that's where they should be kept ready in terms of recovering, rebounding and moving forward if things goes wrong. So let's stick on that for a minute. And then I want to bring Yusuf into the conversation.  So that brings up issues, data sovereignty, there's governance, there's compliance, there's things like right to be forgotten, there's data privacy, so many things. These were often kind of afterthoughts for businesses that bolted on, if you will. I know a lot of executives are very much concerned that these are built in and it's not a one-shot deal. So do you have solutions around compliance and governance? Can you deliver that as a service? Maybe you could talk about some of the specifics there. So some of, we have offered multiple services to our customers on digital residents. And one of the key services is the data compliance as a service. Here, we help organizations to map the key data against the data compliance requirements. Some of the features includes in terms of the continuous discovery of data, right? Because organizations keep adding on data when they move more digital. And helping in understanding the actual data in terms of the residents of the data. It could be an heterogeneous data sources, it could be on databases, or it could be even on the data lakes, or it could be even on on-premise or on the cloud environment. So identifying the data across the various heterogeneous environment is a very key feature of our solution. Once we identify and classify the sensitive data, the data privacy regulations and the prevailing laws have to be mapped based on the business rules. So we define those rules and help map those data so that organizations know how critical their digital assets are. Then we work on a continuous monitoring of data for anomalies because that's one of the key features of the solution, which needs to be implemented on the day-to-day operational basis. So we help in monitoring those anomalies of data for data quality management on an ongoing basis. And finally, we also bring in the automated data governance where we can manage the sensitive data policies and their data relationships in terms of mapping and manage their business rules. And we drive remunerations and also suggest appropriate actions to the customers to take on those specific datasets. Great, thank you. Yusuf, thanks for being patient. I want to bring in Ayotaho to the discussion and understand where your customers and happiest minds can leverage your data automation capability that you and I have talked about in the past. And I mean, it'd be great if you had an example as well, but maybe you could pick it up from there. Sure, I mean, at a high level, as Suresh has actually articulated really, Ayotaho delivers business agility. So that's by accelerating the time to operationalize data, automating, putting in place controls, and ultimately helping put in place digital resilience. I mean, if we step back a little bit in time, traditional resilience in relation to data often meant manually making multiple copies of the same data. So you'd have a DBA, they would copy the data to various different places, and then business users would access it in those functional silos. And of course, what happened was you ended up with lots of different copies of the same data around the enterprise. Very inefficient. And of course, ultimately increases your risk profile, your risk of a data breach. It's very hard to know where everything is. And I realized that expression we used, David, the idea of the forced march to digital. So with enterprises that are going on this forced march, what they're finding is they don't have a single version of the truth. And almost nobody has an accurate view of where their critical data is. Then you have containers, and with containers, that enables a big leap forward. So you can break applications down into microservices, updates are available via APIs. And so you don't have the same need to build and to manage multiple copies of the data. So you have an opportunity to just have a single version of the truth. Then your challenge is, how do you deal with these large legacy data states that the service has been referring to where you have to consolidate? And that's really where IOTAO comes in. We massively accelerate that process of putting this single version of the truth into place. So by automatically discovering the data, discovering what's duplicate, what's redundant, that means you can consolidate it down to a single trusted version much more quickly. We've seen many customers who've tried to do this manually and it's literally taken years using manual methods to cover even a small percentage of their IT estate. With IOTAO you can do it really very quickly and you can have tangible results within weeks and months. And then you can apply controls to the data based on context. So who's the user? What's the content? What's the use case? Things like data quality validations or access permissions. And then once you've done that, your applications and your enterprise are much more secure, much more resilient as a result. You've got to do these things whilst retaining agility though. So coming full circle, this is where the partnership with Happiest Minds really comes in as well. You've got to be agile, you've got to have controls and you've got to drive towards the business outcomes. And it's doing those three things together that really deliver for the customer. Thank you, Yousef. I mean, you and I in previous episodes we've looked in detail at the business case. You were just talking about the manual labor involved. We know that you can't scale. But also there's that compression of time to get to the next step in terms of ultimately getting to the outcome. And we've talked to a number of customers in theCUBE and the conclusion is it's really consistent that if you can accelerate the time to value that's the key driver, reducing complexity, automating and getting to insights faster. That's where you see telephone numbers in terms of business impact. So my question is where should customers start? I mean, how can they take advantage of some of these opportunities that we've discussed today? Well, we've tried to make that easy for customers. So with Iotaho and Happiest Minds you can very quickly do what we call a data health check. And this is a two to three week process to really quickly start to understand and deliver value from your data. So Iotaho deploys into the customer environment. Data doesn't go anywhere. We would look at a few data sources and a sample of data and we can very rapidly demonstrate how data discovery, data cataloging and understanding duplicate data and redundant data can be done using machine learning and how those problems can be solved. And so what we tend to find is that we can very quickly as I say in a matter of a few weeks show a customer how they can get to a more resilient outcome and then how they can scale that up, take it into production and then really understand their data estate better and build resilience into the enterprise. Excellent, there you have it. We'll leave it right there guys. Great conversation. Thanks so much for coming in the program. Best of luck to you and the partnership. Be well. Thank you, David. Suresh. Thank you, Lisa. And thank you for watching everybody. This is Dave Vellante for theCUBE in our ongoing series on data automation with Ayo Tahoe. Digital resilience, automated. Compliance, privacy and security for your multi-cloud. Congratulations, you're on the journey. You have successfully transformed your organization by moving to a cloud-based platform to ensure business continuity in these challenging times. But as you scale your digital activities there is an inevitable influx of users that help paces traditional methods of cybersecurity, exposing your data to underlying threats and making your company susceptible to ever greater risk. To become digitally resilient, have you applied controls to your data continuously throughout the data lifecycle? What are you doing to keep your customer and supplier data private and secure? Ayo Tahoe's automated sensitive data discovery is pre-programmed with over 300 existing policies that meet government mandated risk and compliance standards. These automate the process of applying policies and controls to your data. Our algorithm-driven recommendation engine alerts you to risk exposure at the data level and suggests the appropriate next steps to remain compliant and ensure sensitive data is secure. Unsure about where your organization stands in terms of digital resilience? Sign up for our minimal cost, commitment-free data health check. Let us run our sensitive data discovery on key unmapped data silos and sources to give you a clear understanding of what's in your environment. Book time with an Ayo Tahoe engineer now. Okay, now we're going to go into the demo and we want to get a better understanding of how you can leverage OpenShift and Ayo Tahoe to facilitate faster application deployment. Let me pass the mic to Sabita. Take it away. Thanks, Dave. Happy to be here again. Guys, as Dave mentioned, my name's Sabita Davis. I'm the Enterprise Account Executive here at Ayo Tahoe. So today we just want to give you guys a general overview of how we're using OpenShift. Yeah, hey, I'm Noah, Ayo Tahoe's data operations engineer working with OpenShift and I've been learning the ins and outs of OpenShift for like the past few months and I'm here to share what I've learned. Okay, so before we begin, I'm sure everybody wants to know, Noah, what are the benefits of using OpenShift? Well, there's five that I can think of, faster time to operation, simplicity, automation, control and digital resilience. Okay, so that's really interesting because there's an exact same benefits that we at Ayo Tahoe deliver to our customers. But let's start with faster time to operation. By running Ayo Tahoe on OpenShift, is it faster than let's say using Kubernetes and other platforms? Our objective at Ayo Tahoe is to be accessible across multiple cloud platforms, right? And so by hosting our application in containers, we're able to achieve this. So to answer your question, it's faster to create end user application images using container tools like Kubernetes with OpenShift as compared to like Kubernetes with Docker, Cryo or container D. Okay, so we got a bit technical there. Can you explain that in a bit more detail? Yeah, there's a bit of vocabulary involved. So basically containers are used in developing things like databases, web servers or applications such as Ayo Tahoe. What's great about containers is that they split the workloads. So developers can select their libraries without breaking anything and sys admins can update the hosts without interrupting the programmers. Now OpenShift works hand in hand with Kubernetes to provide a way to build those containers for applications. Okay, got it. So basically containers make life easier for developers and system admins. So how does OpenShift differ from other platforms? Well, this kind of leads into the second benefit I wanna talk about, which is simplicity. Basically there's a lot of steps involved with when using Kubernetes with Docker, but OpenShift simplifies this with their source to image process that takes the source code and turns it into a container image. But that's not all. OpenShift has a lot of automation and features that simplify working with containers, an important one being its web console. Here I've set up a light version of OpenShift called code ready containers. And I was able to set up our application right from the web console. And I was able to set up this entire thing in Windows, Mac and Linux. So it's environment agnostic in that sense. Okay, so I think I've seen the top left that this is a developer's view. What would a system's admin view look like? It's a good question. So here's the administrator view. And this kind of ties into the benefit of control. This view gives insights into each one of the applications and containers that are running and you can make changes without affecting deployment. And you can also within this view set up each layer of security. And there's multiple that you can prop up but I haven't fully messed around with it because with my look, I'd probably lock myself out. So that seems pretty secure. Is there a single point security such as your user login or are there multiple layers of security? Yeah, there are multiple layers of security. There's your user login, security groups and general role-based access controls. But there's also a ton of layers of security surrounding like the containers themselves. For the sake of time, I won't get too far into it. Okay, so you mentioned simplicity and time to operation as being two of the benefits. You also briefly mentioned automation and as you know, automation is the backbone of our platform here at IOTAHO. So that certainly grabbed my attention. Can you go a bit more in depth in terms of automation? OpenShift provides extensive automation that speeds up that time to operation, right? So the latest versions of OpenShift come with a built-in cryo container engine which basically means that you get to skip that container engine installation step and you don't have to like log in to each individual container host and configure networking, configure the registry servers, storage, et cetera. So I'd say it automates the more boring kind of tedious processes. Okay, so I see the IOTAHO template there. What does it allow me to do? In terms of automation and application development. So we've created an OpenShift template which contains our application. This allows developers to instantly like set up our product within that template. So Noah, last question. Speaking of vocabulary you mentioned earlier, digital resilience is a term we're hearing, especially in the banking and finance world. It seems from what you described, industries like banking and finance would be more resilient using OpenShift, correct? Yeah, in terms of digital resilience, OpenShift will give you better control over the consumption of resources each container is using. In addition, the benefit of containers is that, like I mentioned earlier, sys admins can troubleshoot the servers without like bringing down the application. And if the application does go down, it's easy to bring it back up using templates and like the other automation features that OpenShift provides. Okay, so thanks so much, Noah. So any final thoughts you wanna share? Yeah, I just wanna give a quick recap of like the five benefits that you gain by using OpenShift. The five are time to operation, automation, control, security, and simplicity. You can deploy applications faster. You can simplify the workload. You can automate a lot of the otherwise tedious processes. You can maintain full control over your workflow and you can assert digital resilience within your environment. So guys, thanks for that. Appreciate the demo. I wonder, you guys have been talking about the combination of IO Tahoe and Red Hat. Can you tie that in, Sabita, to digital resilience specifically? Yeah, sure, Dave. So why don't we speak to the benefits of security and control in terms of digital resilience? At IO Tahoe, we automate detection and apply controls at the data level. So this would provide for more enhanced security. Okay, but so if you were to try to do all these things manually, I mean, what does that do? How much time can I compress? What's the time to value? So with our latest versions of IO Tahoe, we're taking advantage of faster deployment time associated with containerization and Kubernetes. So this kind of speeds up the time it takes for customers to start using our software as they be able to quickly spin up IO Tahoe in their own on-premise environment or otherwise in their own cloud environment like including AWS, Azure, Oracle GCP and IBM Cloud. Our quick start templates allow flexibility deploying to multi-cloud environments, all just using like a few clicks. Okay, so now I'll just quickly add. So what we've done in IO Tahoe here is we've really moved our customers away from the whole idea of needing a team of engineers to apply controls to data as compared to other manually driven workflows. So with templates, automation, pre-built policies and data controls, one person can be fully operational within a few hours and achieve results straight out of the box on any cloud. Yeah, we've been talking about this theme of abstracting the complexity that's really what we're seeing as a major trend in this coming decade. Okay, great. Thanks, Sabita, Noah. How can people get more information or if they have any follow-up questions, where should they go? Yeah, sure, Dave. I mean, if you guys are interested in learning more, you know, reach out to us at info at IO Tahoe.com to speak with one of our sales engineers.  So book a meeting as soon as you can. All right, thanks guys. Keep it right there for more cube content with IO Tahoe.