from our studios in the heart of Silicon Valley Palo Alto California this is a cute conversation hey welcome back it ready Jeff Rick here with the cube we're in our Palo Alto studios today for a cube conversation a little bit of a break from the road we'd like to have guests come into the palo alto studio and have a little bit calmer conversation without all the buzz of the show and we're excited to have a return guest he hasn't been on for like two and a half years which i find extremely hard to believe it's been too long maria tar she's the CMO of keysight technologies really great to see you wonderful yeah so last time we had you on i had to look it up it was it was october 2016 and you were the CMO of Ixia which is a little bit different or really not that different tell us how you got from ixia to to keysight so keysight technologies acquired Exia and i was fortunate enough to be chosen to be the CMO for keysight technologies so it was a great evolution both for me personally and professionally right and a very kind of similar product and solutions portfolio bigger obviously than what you were doing at Ixia but for people that aren't familiar with keysight give them kind of the quick overview sure so Ixia served two audiences they really targeted the QA engineer as well as the IT infrastructure and keysight actually targets I would say the design engineer the manufacturing engineer part of the Ixia business which is very closely aligned to keysight's is in the test and measurement space so keysight technologies really helped any electrical engineer develop and innovate and bring products to market that that basically have an electric signal going through them what keysight delivers are things like oscilloscopes Network analyzers you know power supplies signal generators and and anything in terms of test and measurement right of design of electronics so you guys in companies been around for a while is four billion in revenue so you guys are basically testing and measuring pretty much everything right this as you say has an electronic signal go through it we have a broad area that we cover and we also have a very very long history in terms of being in this space our heritage started off as the original heel at Packard evolved into Agilent and keysight was spent out about four four or five years ago as an independent company and we're doing really well in terms of raising our awareness and visibility of a new name because anytime you change names you have to re-educate the market right hey this is us you've worked with us for a very long time and we continue to be leaders in this space right good opportunity for you though right that's the that's what they can good see in Mo's four I love my so the cool thing is not only are you working with stuff that's shipping today but you guys have good visibility into the future and as we talked about all the time you know there's some really massive mega trends that are that are coming down the pike that would love to you know kind of get your thoughts off one of them is is 5g and where World Congress was just a couple weeks ago I think you're also at RSA 5g has been getting talked about for a while but it's it's coming and and we see more and more parts I think there's actually been a couple hands that's delivered you probably know way more than I intended tower so wonder if you can explain to people a little bit about 5g when you think about five gene their potential because I don't think many people know much beyond kind of the buzzword that it's you know bigger faster stronger but it's a pretty significant leap over the Kern LTE it's truly a revolutionary and disruptive technology and it enables so much more than what's available today which has really been what I would call incremental evolution with 5g it is it's truly transformative because it you know in addition to faster it is going into spectrum that was traditionally reserved for organizations getting into millimeter-wave so it really changes the technology that we're all used to with the big cell towers 5g uses much smaller antennas and multiple antennas that actually sit on buildings it's you know in terms of because you're using millimeter wave it doesn't travel as long distances there's what you have with LTE which is sub 6 gigahertz that's all on the technology front what's really amazing about 5g is it has capabilities such as ultra-low latency and it's supposed to consume a lot less power so you could almost see it as as really disrupting and transforming everything and how we think about everything whether it's enabling the car of the future and autonomous driving because now all of a sudden your car can actually communicate to everything with vehicle to everything communication or cellular vehicle to everything communications you can think about it as a way that it's transforming IOT and the evolution of everything that's happening in IOT right so yes it's bigger faster better much more reliable you know much more lower latency and and for for those of us who care a lot about sustainability it's supposed to also deliver much lower power consumption right just interesting right because LTE was I think kind of the first step into real data space and and people figured out that we're using our phones for a lot more than talk in fact you know the data transmission rates are way higher than then the voice course on voice over IP and people watched football on their on their TV switches or on their screens which is unimaginable a couple years ago but in 5g now that's really not necessarily optimized for but really an enabler for as you said IOT and kind of this next level of you know kind of machine to machine communication it's not just me texting you with a data input but more these super-high fast really require low latency applications in this IOT and in the industrial IOT world that everybody's so psyched about it can't happen without this type of technology it really can't I mean the whole industry 4.0 and in terms of manufacturing and robotics and real-time communication that can happen in in in that if you think about a lot of the the cars that are out there if you look at Tesla they're doing ongoing updates and ongoing communications with all their cars all the time and so something like 5g enables even a higher degree of communication and understanding of what's going on with the vehicle and as you get into more of autonomous vehicles understanding what all the sensors and the radar in the car is seeing basically communicating that to what's happening with edge computing having all of that processing happen there and being able to you know send that back and and be able to adapt to the environment is going to be pretty significant and revolutionary I mean I think in every area this new technology in some ways just in terms of what it opens up will enable us to think of really transformative and disruptive ways of how we do things right and it does require going along for the ride investing early understanding what it means and I would say it crosses so many vertical industries right we definitely have to have lunch with you and Sandra Rivera from Intel it would be a really really fun lunch but I one of the things you touched on with that I don't think people really appreciate is this kind of new age of connected device and clearly Tesla's an easy example right it checks in every night but as we see more and more devices being connected kind of back to the mothership and and the ability for a maker of something to actually know now how are people using it it's not just I build it I ship it to my distributor and maybe I'll get a few back every now and then and we can we can take it apart and see how people used it but just the whole kind of product management lifecycle when you've got connected devices that actually report home and to how they're actually being used and how people are using them is such a transformational both the relationship between the user and the device but now the device back to the man you that they never never used to have before yeah and it has both kind of technological as well as I would say society oriented ramifications if you think about in the Tesla example you're effectively saying hey it's okay for Tesla to constantly talk to my car a lot of times we're used to the model of once I buy something it's mine you know this is my device not something that's part of your ongoing network so to speak and so with with a lot of these evolutions that are going on there's going to be both a capability shift in terms of what we can enable but there's also going to come with it somewhat of a society shift of what's now accessed about you so for example with IOT if you choose to move towards this concept of body area networks and having sensors all over you or potentially even embedded in you how that is being leveraged to provide you information how do you protect that from a security standpoint from someone tapping into that to abuse that information so a lot of those topics were really big topics at Mobile World Congress in terms of the coming of 5g and you know just even kind of there the the completion of the standard because it's not yet fully ratified yet right so there's ongoing evolutions and not there's obviously a lot of hype out there on this we are very much involved with the whole ecosystem that's involved in 5g all the way from chipsets to the devices to the networks that carry them you know sort of looking at the whole end-to-end eCos to the antennas you name it to the base stations we're involved in in that whole ecosystem and you as keysight we actually have to get in really early because all of those innovators are depending on our technology to test and validate that it will perform as expected because you're working with all those pieces of electronics in that hole that holes system yeah well Mobile World Congress is interesting last week or the week before was our essay and a lot of the things you're talking about I would argue are probably gonna be more important on the RS a type of kind of view of the world versus the Mobile World Congress assuming you get everything to work which which which I'm sure everybody will but but kind of the legal ramifications and the moral ramifications and the data privacy ramifications when there is so many more connected devices and as you said body area network right now it's my heart rate I went to an interesting Wall Street Journal conference where people can sell back their 23andme genomic data back into a pool for researchers who are looking for certain profiles so they can do their clinical trials and you know that's basically it's basically an electronic representation of literally who you are and so again I think you I think you touch on a lot of really important points that it's the security and David privacy and and in the the moral issues around how that's used treated stored protected are gonna be the bigger issues as we just get more and more of these things becoming really its software and data which we see in the products tehsils a lot more software than it is a car and that's why they can do updates all the time and keep updating the features well even in our business we're becoming much more of a software oriented business in terms of our test and measurement and how we look at the whole design workflow and to end so in many ways everything is is becoming software right just because if you think about this concept of the digitization that's going on of everything there's a lot of discussions about this concept of digital twins right where there's enough information derived from something physical that you can essentially replicate the digital twin and you can do the simulations and in in what you're describing you know you basically you could potentially have it model and represent whether it's a robotic process or a car process and anticipate hey this is time when this is going to wear down you know this is what I'm seeing out there and and it's almost becomes predictive right in terms of what's going on in the real world so it's it's really exciting stuff and it's wonderful to be at the because of this right going to RSA i agree with you all of those topics we're front and center very important to understand and have the visibility in terms of a lot of these 5g networks there's so much throughput going in how do you you know let's say you're a service provider and you want to offer this service how do you actually measure and have visibility in terms of really that is the service that you're offering so there's a lot of discussion in terms of providing that visibility and that security in terms of for those types of customers right it's funny we've done a lot of stuff with GE and back with the software group with Bill ruin team and they've talked about gee talks about digital twins a lot in the context of the industrial products that they built whether it's a turbine engine or whatever to the point that you said so you can do testing and you can do maintenance scheduling and all this other stuff what was weird at the Wall Street Journal conferences they're talking about digital twins for people your digital twins so now I can test you know how would you respond to certain drug treatments how might you respond to a different diet regime how might you respond differently to a different exercise regime and I'd never kind of heard that digital twin concept applied to a person and it's that's really interesting it's really interesting times but before I let you go I imagine your business has changed quite a bit as the kind of percentage of make up of all these devices has shifted from you know kind of dedicated purpose-built hardware which is probably relatively easy to test to kind of hardware platforms that are supporting a larger and increasing amount of software that actually drive the functionality must be good for your business because I'm sure the testing has got to be much more complex not to mention people are pushing updates all of the time really different models and just testing a box well it has changed and actually what's you know when I talk to our customers their goal is to innovate and bring their products to market faster and as a company that supports them our goal is to accelerate their innovation and a lot of times it's how do you share the information as it's going from the design engineer - you know sort of the the quality and test - then go to manufacturing because a designer will build his product and then he'll send it off and say ok I'm kind of done how do you then make sure that at every cog of the wheel you're basically able to share back what his expectation were when he was building it in a CAD system versus what what they're actually seeing when they test the real-life product versus what they actually see when they're manufacturing and applying the same tests so having that consistent software which at keysight we call path wave it really allows that acceleration and the sharing across all of those different groups so that you can optimize the flow so to speak of your design the other exciting part is is you're right there's just so much innovation and evolution in terms of the areas that we participate in because all of these technologies are changing you know we talked about sort of the the autonomous vehicle just as important as the electric vehicle and and the growth in terms of how do you manufacture and test batteries in a scale that's going to be required to keep up with the demand because traditional methods it takes a long time to to test a battery to make sure it's available and can be used and we have some really innovative technology that allows us to to expedite and accelerate that testing so customers of ours like BMW are leveraging this technology so that they can accelerate their their battery production testing and deployment right well we'll have to have you back another time we're out of time dig just just I'm so excited by the whole kind of change of mobility which is driven by really high capacity inexpensive batteries and these really powerful little brushless motors and and as those things kind of permeate and all these different form factors thankfully driven by the high bania fact or the high volume car manufacturers since it's the same little cells that run a lot of these things it's pretty pretty cool space but but we can't get deep into that this time I'll have to say throw for next time so hopefully it won't be another two and a half years I hope very well thanks for stopping by and really appreciate catching up thanks a lot Jeff good see you alright she's Marie I'm Jeff you're watching the key we're in her cube Studios in Palo Alto thanks for watching we'll see you next time [Music]

>> Good morning, everyone. My name is Sudip Datta. I head up product management for Infrastructure Management and Analytics at CA Technologies. Today I am going to talk about the key pillars for modern analytics and monitoring for hybrid cloud. So before we get started, let's set the context. Let's take a stock of where we are today. Today in terms of digital business, software is driving business. Software is the backbone, is the driving force for most of the business services. Whether you are a financial institution or a hospitality service or a health care service or even a restaurant service pizza, you are front-ended by software. And therefore the user experience is of paramount importance. Just to give you some factoids. Eighty-three percent of U.S. consumers say that the brand that, the frontal software portal is more important than the product itself. And the companies are reciprocating by putting a lot of emphasis on user experience, as you see in the second factoid. The third factoid, it's even more interesting that 53% of the users of a mobile app actually abandon the app if the app doesn't load within a specified time. So we all understand now the importance of user experience in today's business. So what's happening to the infrastructure underneath that's hosting these applications? The infrastructure itself is evolving, right? How? First of all, as we all know there is a huge movement, a huge shift towards cloud. Customers are adopting cloud for reasons of economy, agility and efficiency. And whether you are running on cloud or on prem, the architecture itself is getting more and more dynamic. On the server side we hear about server-less computing. More and more enterprises are adopting containers, could be Dockers or other containers. And on the networking side we see an adoption of software-defined networking. The logical overlay on top of the physical underlay is abstracting the network. While we see a huge shift, a movement towards cloud, it is also true that customers are also retaining some of their assets on prem, and that's why we talk about hybrid cloud. Hybrid cloud is a reality, and it's going to be a reality for the foreseeable future. Take for example a bank that has its systems of engagement on public cloud, and systems of records on prem deeply nested within their DNC. So the transaction, the end-to-end transaction has to traverse multiple clouds. Similarly we talk to customers who run their production tier one application on prem, while tier two and tier three desktop applications run on public cloud. So that's the reality. Multi-cloud dynamic environment is a reality of today. While that's a reality, they pose a serious challenge for IT operations. What are the challenges? Because of multiple clouds, because of assets spanning multiple data centers, multiple clouds, there are blind spots getting created. IT ops is often blindsided on things that are happening on the other side of the firewall. And as a result what's happening is they're late to react, and often they react to problems much later than their customers find it, and that's an embarrassment. The other thing that's happening is because of the dynamic nature of the cloud, things are ephemeral, things are dynamic, things come and go, assets come and go, IT ops is often in the business of keeping pace with these changes. They are reacting to these changes. They are trying to keep pace with these changes, and silo'd tools are not the way to go. They are trying to keep up with these changes, but they are failing in doing so. And as a result we see poor user experience, low productivity, capacity problems and delayed time to market. Now what's the solution? What is the solution to all these problems? So what we are recommending is a four-pronged solution, what we represent as four pillars. The first pillar is about dynamic policy-based configuration and discovery. The second one is unification of the monitoring and analytics. The third one is contextual intelligence, and the fourth one is integration and collaboration. Let's go through them one by one. First of all, in terms of dynamic policy-based configuration, why is it important? I was talking to a VP of IT last week, and he commented that the time to deploy the monitoring for an application is longer than the time to deploy the application itself, and that's a shame. That's a real shame because in today's world application needs to be monitored straight out of the box. This is compounded by the fact that once you deploy the application, the application today is dynamic, as I said, the cloud assets are dynamic. The topology changes, and monitoring tools need to keep pace with that changing topology. So we need automated discovery. We need API driven discovery, and we need policy-based monitoring for large scale standardization. And last but not the least, the policies need to be based on dynamic baselines. The age, the era of static thresholds is long over because static thresholds lead to false alerts, resulting in higher opics for IT, and IT personnel absolutely, absolutely want to move away from it. Unified monitoring and analytics. This morning I stumbled upon a Lincoln white paper which said 20 tools you need for your hybrid monitoring, and I was absolutely dumbfounded. Twenty tools? I mean, that's a conversation non-starter. So how do we rationalize the tools, minimize the silos, and bring them under single pane of glass, or at least minimal panes for glass for monitoring? So IT admins can have a coherent view of servers, storage, network and applications through a single pane of glass? And why is that important? It's important because it results in lesser blame game. Because of silo'd tools what happens is admins are often fighting with each other, blaming each other. Server admins think that it's a storage problem. The storage admin thinks it's a database problem, and they are pointing to each other, right? So the tools, the management tools should be a point of collaboration, not a point of contention. Talking about blame game, one area that often gets ignored is the area of fault management and monitoring. Why is it important? And I will give a specific example. Let's say you have 100 VMs, and all those VMs become unreachable as a result of router being down. The root cause of the problem therefore are not the VMs, but the router. So instead of generating 101 alarms, the management tool needs to be smart enough to generate one single alarm. And that's why fault management and root cause analysis is of paramount importance. It suppresses unnecessary noise and results in lesser blaming. Contextual intelligence. Now when we talk about the cloud administrator, the cloud admin, the cloud admin in the past were living in the cocoon of their hybrid infrastructure. They were managing the hybrid infrastructure, but in today's world to have an end-to-end visibility of the digital chain, they need to integrate with application performance management tools, APM, as well as what lies underneath, which is the network, so that they have an end-to-end visibility of what's happening in the whole digital chain. But that's not all. They also need what we call is the context of the application. I will give you a specific example. For example, if the server runs out of memory when a lot of end users log into the system, or run out of capacity when a particular marketing promotion is running, then the context really is the business that leads to a saturation in IT. So what you need is to capture all the data, whether they come from logs, whether they come from alarms, capacity events as well as business events, into a single analytics platform and perform analytics on top of it. And then augment it with machine learning and pattern recognition capabilities so that it will not only perform root cause analysis for what happened in the past, but you're also able to anticipate, predict and prevent future problems. The fourth pillar is collaboration and integration. IT ops in today's world doesn't and shouldn't run in a silo. IT ops need to interact with dev ops. Within dev ops developers need to interact with QA. Storage admins need to collaborate with server admins, database admins and various other admins. So the tools need to encourage and provide a platform for collaboration. Similarly IT tools, IT management tools should not run standalone. They need to integrate with other tools. For example, if you want monitoring straight out of the box, the monitoring needs to integrate with provisioning processes. The monitoring downstream needs to integrate with ticketing systems. So integration with other tools, whether third party or custom developed, whatever it is, it's very, very important. Having said that, having laid what the solution should be, what the prescription should be, how is CA Technologies gearing up for it? In CA we have the industry's most comprehensive, the richest portfolio of infrastructure management tools, which is capable of managing all forms of infrastructure, traditional, private cloud, public cloud. Just to give you an example, in private cloud we support the traditional VMs as well as hyper converged infrastructure like Nutanix. We support Docker and other forms of containers. In public cloud we support the monitoring of infrastructure as a service, platform as a service, software as a service. We support all the popular clouds, AWS, Azure, Office 365 on Azure, as well as Salesforce.com. In terms of network, out net ops tools manage the latest and greatest SDN and SD-WAN, the VMware SDN, the open stack SDN, in terms of SD-WAN Cisco, Viptella. If you are a hybrid cloud customer, then you are no longer blindsided on things that are happening on the cloud side because we integrate with tools like Ixia. And once we monitor all these tools, we provide value on top of it. First of all, we monitor not only performance, but also packet, flow, all the net ops attributes. Then on top of that we provide predictive insights and learning. And because of our presence in the application performance management space, we integrate with APM to provide application to infrastructure correlation. Finally our monitoring is integrally linked with our operational intelligence platform. So in CA we have an operational intelligence platform built around CA Jarvis technology, which is based on open source technology, Elastic Logstash and Kibana, supplemented by Hadoop and Spark. And what we are doing is we are ingesting data from our monitoring tools into this data lake to provide value added insights and intelligence. When we talk about big data we talk about the three Vs, the variety, the volume and the velocity of data. But there is a fourth V that we often ignore. That's the veracity of the data, the truthfulness of data. CA being a leader in monitoring space, we have been in the business of collecting and monitoring data for ages, and what we are doing is we are ingesting these data into the platform and provided value added analytics on top of it. If you can read the slide, it's also an open framework we have the APIs from for ingesting data from third-party sources as well. For example, if you have your business data, your business sentiment data, and if you want to correlate that with IT metrics, how your IT is keeping up with your business cycles, you can do that as well. Now some of the applications that we are building, and this product is in beta as you see, are correlation between the various events, IT events and business events, network events and server events. Contextual log analytics. The operative word is contextual. There are a plethora of tools in the market that perform log analytics, but log analytics in the context of a problem when you really need it is of paramount importance. Predictive capacity analytics. Again, capacity analytics is not only about trending, right? It's about what if analysis. What will happen to your infrastructure? Or can your infrastructure sustain the pressure if your business grows by 2X, for example? That kind of what if analysis we should be able to do. And finally machine learning, we are working on it. Out of box machine learning algorithm to make sure that problems are not only corrected after the fact, but we can predict problems. We can prevent the problems in future. So for those who may be listening to this might be wondering where do we start? If you are already a CA customer, you are familiar with CA tools, but if you're not, what's the starting point? So I would recommend the starting point is CA Unified Infrastructure Manager, which is the market leading tool for hybrid cloud management. And it's not a hollow claim that we are making, right? It has been testified, it has been blessed by customers and analysts alike. And you can see it was voted the cloud monitoring software of the year 2016 by a third party. And here are some of the customer experiences. NMSP, they were able to achieve 15% productivity improvement as a result of adopting UIM. A healthcare provider, their meantime to repair, MTTR, went down by 40% as a result of UIM. And a telecom provider, they had a faster adoption to cloud as a result of UIM, the reason being UIM gave them for the first time a single pane of glass to manage their on prem and cloud environments, which has been a detriment for them for adopting cloud. And once they were able to achieve that, they were able to switch onto cloud much, much faster. Finally, the infrastructure management capabilities that I talked about is now being delivered as a turnkey solution, as a SAS solution, which we call digital experience insights. And I strongly, strongly encourage you to try UIM via CA digital experience insights, and here is the URL. You can go and sign up for the trial. With that, thank you.