Good morning everyone. Today we will see the topic Antina Parameters of Part 1, Myself Piyusha Shedkar. These are the learning outcomes for this session. At the end of this session students will be able to define the different parameters of an antenna and they will able to explain the different properties of an antenna. These are the contents for this session. Now let us define what is the antenna. Antina can be defined in different ways and antenna is a linking component of guided wave and free space. So if you are considering the source from the source when the electromagnetic waves are propagated and these are passing through the transmission media such as the waveguide it is considered as the guided wave. When this wave is radiated into free space then the antenna is considered as the important component between this guided wave and free space. Antina is a source or radiator of electromagnetic waves. Antina is a sensor of electromagnetic waves. It is also a transducer that is the transducer is it converts one form of energy into the other form of the energy is known as the transducer. Thus the antenna converts electromagnetic waves into the electrical signal or vice versa. That is the same antenna can be used as a transmitter as well as the receiver and therefore the antenna is also known as the duplexer. An antenna is used as a impedance matching device also that is for the effective efficient transmission of the signal there should be the matching of the impedance at both side that is at source side and the load side. Now before going to start the actual parameters of an antenna you can pause video here for two seconds and recall that what is radiation pattern of an antenna. So radiation is nothing but the emission or reception of a wave front at the antenna specifying its strength and graphical representation of this radiating field into the space is nothing but the radiation pattern of an antenna that is the wave radiated in which direction in which strength can be defined by this radiation pattern of an antenna. So from radiation pattern one can understand the function and directivity of an antenna. Now the properties of an antenna first property it has identical impedance when used for transmitting and receiving purposes. It has identical characteristics when it is used for transmitting and receiving purposes and the third property is it has same effective length when it is used for transmitting and receiving purposes. These are the different antenna parameters. There are the several parameters of an antenna some are listed here as a radiation pattern of an antenna power density intensity gain, directivity impedance, radiation resistance, effective length of antenna and antenna efficiency and effective area. So we will see it one by one. So first is the radiation pattern. So what is radiation pattern? It is nothing but the graphical representation of radiation as a function of space coordinates. So it can be termed in terms it can be termed as a radiation energy the field strength of an antenna radiated in a particular direction may be x, y or z direction. Thus the radiation pattern may also be in terms of the field strength at a given point. So these two figures shows the radiation example of the radiation pattern. In the first figure you can see that the red wave which is vertically polarized, the blue wave is horizontally polarized and this one is the circularly polarized. So in which direction the field is radiated can be defined with the polarization. So the electric field strength when perpendicular to the earth surface which is called as the vertically polarized wave whereas the electric field is parallel to the earth surface is known as the horizontal polarization and when the field strength is circularly polarized it is known as the circular polarization. So in second figure it shows linear polarization and the circular polarization in the same figure. So this is the example of the vertical polarization, this is the example of the left handed circular polarization. So the circular polarization polarized on the left side then it is known as the left hand side circularly polarization. When it polarized on the right hand of the wave then it is the right hand circularly polarized and again it is the vertical polarization. Now if the antenna is placed at the center of this x, y, z axis and for antenna radiation pattern we are considering the spherical coordinate system. As you know that the coordinates used in spherical coordinate system are r, theta and phi. So if you are considering the differential amount of this theta as a d theta differential amount of phi as a d phi and the differential amount is considered for the r as a dr. Then we can calculate the differential area for this portion as r square sin theta d theta and d phi. That is that if you are calculating the total area equal to integration of this differential area that is the integration is with respect to theta and phi coordinates. Again when the radiation pattern is drawn graphically the field strength is at the z axis. So which having this major lobe these are the side lobes and this is the back lobe. These are also known as the minor lobe because the values at this axis are the less as compared to this z axis and this is known as the major lobe. So the back lobe is exactly opposite to that of the front lobe. Here if you are calculating the beam width then consider the minus 3 dB of the max value at the major lobe and thus measure this angle as the beam width. Next is the radiation power density. The radiation power density is nothing but the quantity used to describe the power associated with an electromagnetic wave. It is defined with this consideration of pointing vector. So the pointing vector is defined as this electric field and the magnetic field which is the instantaneous value and these two are expressed in terms of hold per meter and the ampere per meter and the total radiated power is given by this equation thus you can consider it with respect to the differential area. So p is the instantaneous total power. This n cap is nothing but the unit vector normal to the given surface and dA is the differential area of the closed surface expressed in meter square. The average power radiated by an antenna is given as the radiated power is nothing but the average power. It is equal to half of integration with respect to surface and here we are considering the real part of the pointing vector. Next is the radiation intensity. So what is the radiation intensity? It is defined as power per unit solid angle. So this is the figure shows the radiation intensity. So this block is placed at a distance of r. This is placed at a twice of r. Then the solid angle is denoted with this D ohm. Now consider this is the sphere center and with the sphere which having the radius is r. Then one stradian defined as the solid angle with its vertex at the center of a sphere with radius r and it is sustained by spherical surface area equal to r square. And one stradian is defined with respect to the solid angle and one radian is respect to the plane angle. The number of stradian in the given sphere is equal to 4i. Since you know that the differential area for the spherical coordinate system is given by r square sin theta d theta d phi. Therefore the solid angle D ohm can be defined with this equation differential area upon r square. Thus the radiation intensity is denoted with the letter u. It is given by r square radiated in density. Therefore u equal to r square w rad and the total power can be defined as u that is the radiation intensity is different integrated with respect to solid angle. Whereas this angle is varied from 0 to pi for the theta coordinate and 0 to 2 pi for phi coordinate. Next is antenna gain. What is an antenna gain? It is defined as the ratio of maximum radiation intensity in a given direction to the maximum radiation intensity from a reference antenna produced in the same direction with the same power input. This is denoted with the letter g. G of theta phi is equal to 4 pi u of theta phi by P in that is the input power. This input power is given by the radiated power plus the loss of power. This loss is considered as ohmic and the dielectric power loss. Next is the power gain. Power gain compares the radiated power density of an actual antenna and that of the isotropic antenna on the basis of same total input power and at the same distance. So isotropic antenna is nothing but the radiation is in all direction. So gp is nothing but the power gain. It is defined with n into gd where gd is the directive gain and n is the efficiency which ranges from 0 to 1. So in the above equation when efficiency is considered as a 1 then the power gain becomes equal to the directive gain. Now the directivity. So what is directivity? It is defined as the ratio of maximum radiation intensity to the average radiation intensity. The average radiation intensity is nothing but the total power radiated by the antenna divided by 4. Thus the directivity of a non isotropic source is equal to the ratio of its radiation intensity in a given direction over that of an isotropic source. Thus the directivity is defined in terms of the dbi that is db reference to an isotropic antenna or dbd db reference to a half wave wavelength dipole. Directivity is the gain calculated assuming a lossless antenna. Directivity is related to the power radiated by antenna. Thus the directivity is defined again with respect to the two angles theta and phi. It is equal to u of theta phi by u0 is equal to 4 pi times of u of theta phi by radiated power. If the direction is not specified then the direction of the maximum radiation intensity is considered and thus therefore the maximum value of the directivity is denoted with the d0 equal to u by u0 where u is the radiation intensity and u0 is the radiation intensity of isotropic source. It is defined as u max by u0 where u max is the maximum radiation intensity expressed in Watt per study n whereas u0 is the radiation intensity of isotropic source. So, u max is considered with equation 4 pi times of the u max by radiated power. These are the references for this session. Thank you.


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Hello, welcome to this special CUBE conversation. I'm John Furrier, host of theCUBE here in the Palo Alto studio. It's a preview and feature of the upcoming trends with AI, but also a feature of Kong, successful startup with Agi Marietchi here, CEO and founder of Kong. Very successful entrepreneur, serial entrepreneur. Great story, great to see you. And also legacy SiliconANGLE contributor from 2010. It was a previous company. Talk about APIs back then. Welcome back to theCUBE. Yeah, thanks John for having me and having Kong. Great to see you. So I was saying on the intro there that, you know, one of the thing we've been up for 13 years and 2010 was our big kind of first real year. 2009, 2009 we were kind of setting up. It was a group blog. We went to cloud, cloud was early. You know, we were playing with cloud in 2008 timeframe and we all knew APIs were there. And you wrote a guest post on SiliconANGLE in 2010. Yes, yeah. Talk about API and all of it came true. And all it came true. At the end it was like, your toaster will have an API. And they do now. And yeah, we had these visions that, you know, APIs would be multi-decade transitions and they were going to take cloud and enterprise by storms. And we thought, and thank you for giving us the opportunity. At that point we were immigrants so with three people start-ups and a big vision and a big dream. And I think that was one of my first ever guests blog posts in SiliconANGLE. Well, I really appreciate it. And it was really timing too because at that time that was the beginning of another wave coming in. But it was a turbulent time. If you remember 2010, it was a lot of on-prem activity, a lot of anti-cloud sentiment at that time. Even Amazon's first re-invent conference was 2013. So it really didn't pick up on the cloud until that year. Then, you know, 2013 through the rest is just history. At that time, OpenStack in 2010 was the hot thing. Remember OpenStack. It's true, it's true. It's true. Hadoop. Big data. Up-reduced. Now you got Spark and then you got Databricks. So the world's changed. But I got to ask you now that we're on this dawn of this next era. You know, we're looking at next-gen cloud. So you got a lot of multiple cloud. People inherited new cloud. We've got Amazon, so we have all Amazon. Some have Azure or Teams or whatever. Google's got some new cool stuff. Multi-cloud's on the horizon. AI just dropped on everyone's lap. So there's a lot of people talking about that next 20-mile stair, that next journey is going to be a lot of machine data, human-generated data, data in people's minds. And you know, it's just like just the human capital equation. So there's a whole nother error coming. Yeah, yes. It's going to go to the next level that API's created. This is something that's going to be exciting. What's your vision? Yeah, so if you have to think back to what you mentioned, 2013, 2014, when we wrote that blog post, we didn't know exactly the tailwinds, but we knew that API was going to be the way software talks, basically. So I think there is three major pillars. The number one is the cloud, which started to your points, 13, 14, 15. And what happened in that era? It's a, containerization technologies took off, serverless as well, and multi-clouds. Or cloud is finally going mainstream. So those three kind of created this cloud workload mainstream. But what that means is when you move workloads in the cloud, you're really appifying your infrastructure and creating an API sprawl. The second pillar, it's mobile. And all these applications that came with it. So every apps, somebody would driving a Tesla car, a Samsung fridge, the toaster, but it's all APIs behind the power or digital experience, right? You might join a Zoom call, it's all API. So behind every consumer experience, there is always an API. That creates even more APIs sprawl. I think that the third one, I would say third one is a kind of a plan. A, you have the blockchain, which some people might say is a fad in terms of crypto, but still the blockchain is a, if you think about it, it's a dynamic open API. So that's also create more API sprawl. And AI, I think at the end, it's an infrastructure problem because fundamentally it's two main things. It's data and compute. And how this data move and get compute, it's through APIs. So at the end of the day, we have a say, we'll say, you can't do AI without APIs. Because I think APIs is gonna be the primary interface on how AI talks. Because in the apps, you have a keyboard and a human. In AI world, it really queries APIs to get their answers. I think that's will be the third tailwind that kind of creates the API tailwinds. I was just talking with a founder of one of the big LLM companies this morning, AI 21 Labs. And we were riffing on this idea of an operating system of the next generation operating system. And we were kind of riffing on this idea. I think you're kind of connecting to it is that there's going to be an AI system. And it's not going to be like yesterday's architecture and that how neural nets are designed, trade-offs on compute where it sits, what gets computed in with the math. So there's a lot of new scenarios coming with the connective tissue. And so I guess I want to get your perspective on this as we continue that riff forward. APIs are the connective tissue in a way of connection points. Then there's other connective tissue around API. So now you have a, whether it's graphs or whatever, but you got things like computations important, data. Data changes a lot. We expect data to move around. What's your vision on this? Is there going to be a, I won't say a refactoring, but I mean, even an open source, if software is free, is data open source? Do we open source the data as a proprietary LLM coexisting with open LLMs? So again, it brings up a construct of, you know, a proprietary LL might not be bad if it's just doing something functional. Okay, I guess. Yeah. Well, you know, there are like two kinds of LLM, right? There's the LLM, like the large models. And that's like, you know, you want to create this Google kind of ask me anything and it's like open AI, you crawl everything and the data, they're not usually refreshed, but they're trying to be this mega monster brain, right? And I think that's one dimension. The other one is the TLM, which are the tiny language model, right? And those are small and very specific. And I think for, for enterprise, for the API's use case, the TLM will go mainstream. Because every enterprise has their own data.  They want to be very specific on their business. Let's say, They have domain specific. Very domain specific. Let's say oil and gas company, they plug in a tiny LLM and the whole company and the customer of the company, they're going to only ask those specific question about oil and gas, for example. Don't need to ask about things that are not related to your domain specific data. So I think on one side of the consumer levels, yes, we might have this big brother by few players because you requires, you know, billions of dollar investment in NVIDIA and so on. But on the enterprise side, we're going to have hundreds of open source TLM that companies are going to adopt and kind of train their data to for their own customer needs. And I think this is where API's are going to play a huge role because this is just to your point. It's kind of the nervous system of the cloud because the API works on a request response, which is exactly how the nervous system works. APIs are also pediferical, like our nervous system. And what is missing is really is a central nervous system, which is the brain and the spine. And I think the way we see is that Khan eventually could play the spine in the world by managing and securing all these peripheral APIs. It's interesting when you talk about software and you combine data into it, you're talking about like an organism, not like a mechanism. So you're starting to think about, because things will change in shape based upon the conditions. So that's kind of an interesting theory. Okay, play that forward. What does that look like? Is it cloud, on-prem? Do you care? Is it abstracted away? I mean, you mentioned blockchain. I mean, everyone's down on crypto, but crypto's not blockchain. Blockchain's an infrastructure. Exactly. So where do we go next? What's this telling us if you had to kind of squint through and look at the 20-mile stare out in the industry? We should do another blog post. I had no time. I mean, API, of course, it's a lingua franca of the underpinnings. But now, new abstractors are going to emerge on top end, bolted on, and decentralized. Yes, there is this thing that in software, everything is an abstraction layer of an abstraction layer, as everything is abstract, abstract. In a way, everything is an API client, right? All the, you consuming APIs from OpenAI or on-prem workload or cloud workloads. But I do think this kind of API waves, even if it looks like it's been here for a decade, I think you're just the beginning. Every time we ask our customers how many APIs you have, there may be a different evolution of their journey, 10, 100, sometimes 10,000. But everybody's consistent. In three, five years, they usually have three times, five times, 10 times more. That's kind of the connectivity tissue that requires security, management, observability. So TLMs, Tiny Language, I like how you put that out there because I think every company will be, have AI, obviously, like a website. Yeah, it's a feature, right? It's like the web info. Oh yeah, and the web's here. Oh, what's that? It's a toy for kids. No, everyone will have a website. Ah, that's never going to happen. And it did happen. Every company has a website pretty much. So AI, having that same thing. Okay, so play that for it. As more people on board, like the web, yet online population increased and everything got better. As more AI comes on, that's going to tell us something. So as you look at that, what's that app framework look like? Because you're going to have a power law of languages. You're going to have the big ones at the top. And then you're going to have Evergreen and or pizza. Every company will have an LLM somewhere, a TLM or some language model, or foundation model. Like us, we have all these transfers. We were talking about before we came on. We have transcripts. Every company will have data. What do they do with it? Are they just going to interact with other data? Is there connection points? I think actually data is going to be the secret sauce because you're going to have, you can see in repos like Aging Facer, you're going to have hundreds of LLM, thousands of TLMs that are open source, but then you got to fuel it. Is those this engine that open sourcing the architecture? But then you got to fuel it. I think the quality of the output will be based on the fuel. And companies are going to own, directly or indirectly specific domain data in a way they're going to be very powerful because they will have an advantage. So it's not going to be any more, the model is going to be advantage. Or even the machine like H-100s, I think those will become eventually like, yes, there's going to be all these big GPUs that are available. There's not going to be a supply constraint anymore. So what it really left is data. So companies are going to be able to retain specific data. They always are going to have an advantage. I think they're going to become very, I think conservative in unleashing the data and to who? And they're going to make sure they're going to just build their right model on top of those data. What's interesting is I think when I hear gener of AI, gener of means it's generating something. I think of seeds, like growing something, like things just happen, something generates. And that seems to be, if you have high quality data and you have the right environment, you could, things can be generated. So you can use that. How's that going to translate into the infrastructure? Because everyone talks about the application part of AI, but there's a lot going on under the hood beyond the app. So classic DevSecOps layers are being disrupted and rethought. What's your view on that real quick? Yeah, I think AI is an infrastructure problem. And if you look at how they're getting, and we talk about generative AI for now, right? Like a piece of, but what we think about, if you look at about what you're going to see in all this company, there's kind of like three kinds of things that are showing up. Every products now is going to have either a bot. Okay, well that's one dimension. Let's just have a bot that answer you, whatever. Another one is having a co-pilot. So there's all these co-pilot companions that people add to help you be more productive. Obviously Github co-pilot is probably the biggest one, but every kind of SaaS is going to have this mini co-pilot.  So if you look about this generative AI, what really happening, you see that you're getting a bot, or you're getting a co-pilot, but you're getting some prediction charts. So it's not like nuclear physics. So the application level is getting applied into this three-dimension today. The question would be, okay, if this is like Internet in 1999, those are like early primitives, right? It looks like so-primitive, even the way you train the models, so-primitive. These primitives APIs underneath, what is going to be like really game-changing in the future on the consumer side? I think a lot depends on how much progress we make on the infrastructure side. And that specifically means data and compute and how we use those models. And of course, yeah, that's why I asked the question because the shift has happened where everyone sees what AI is, everyone gets aware of it. Yeah, there's some gloom and doom people, put the guardrails down, but I think now everyone's like, okay, that's definitely happening. So let's get in and clean up the infrastructure. Let's make a scale. We're seeing a lot of customers at Kong that are adding some sort of machine learning capabilities. And as a side effect, there is API sprawls behind the scene to powers those data movements. Okay, that's a great preview. We just gave a nice preview of what's coming for the next few years. Certainly we're going to be going into KubeCon, CNCF, and re-invent coming up. So I'm sure the customers will be there. We'll be heavy on that. Let's talk about Kong, because I think this is one of the best success stories I've seen in a long, long time. Great entrepreneurial story. You had a previous company, had great idea. Timing might not have been great at that time, and then Kong was part of, take us through the story of Kong. Yeah, so it's like, have you watched the movie, The Proceed of Happiness? Yeah, it's 10 times worse. That's how it started. It was a grind. It was a grind, blah, blah, blah. So we arrived as immigrants here, right? First illegally, and then legally. Yes. We won't tell anyone. We won't tell anyone. He just told everybody. Yes. And we went with this idea, and that's where we had actually the guest blog post on really APIs eating the world. The idea was to have a gigantic API marketplace. Think about an API repo like Github, Sleshy Bay where you can go and find APIs, consume APIs. So we built on that idea, which was maybe 20 years ahead of their time, right? And we raised capital here from some great investors, and we eventually got our visa and green card and so on. So we built the company here for like a half a decade. And we went through a lot of lower lows, a lot of near dead experiences. The company grew to about 300,000 developers and 20,000 APIs. So it was like a big community engine. Revenue was a million, a million and a half. So it wasn't really growing that big, or it wasn't growing that big. It was emerging. APIs were emerging. It's very early. We're taking 20% revenue share. So only monetizing on the monetizable APIs, which at that point was a very subset. And in doing that though, we built a lot of internal technology and internal infrastructure. And one of that was the API engine, which was called an API Ape Note because it was built in Node.js first. Then we were built in Java and finally we built in C. And we found out that this kind of internal API gateway that we built to power all this community, re-limiting, smart routing, caching, authentication, we could have probably give it to every company in the world because we look around and think there is not really a cloud native developer friendly, fast, efficient API gateway out there. So we open source it and it took off right away. And it became this kind of side project. And six months after we got a phone call from Obamacare from the healthcare.gov in Baltimore and say, hey, we're using this thing all over our APIs that programmatically talk with TurboTax. But there's a big problem. Tax season is coming up and we don't have a commercial relationship with you. And this is mission critical. And if it goes down, the whole tax analysis. And they had a lot of traffic on that. And it was anywhere rewriting the whole system. The healthcare.gov was rewritten and the Congress part of it. And so we sold on the phone the first commercial subscriptions with them. And we went back to the board and say, folks, with a big check 30 days later, this is the business, not Meshap anymore. So we ended up selling what became then a year transition. We sold the Meshap asset to another company. We raised our B round and we focused all on Kong. We cleaned up a little bit of the cap table and then Kong was like spinning off ribbons like this baby gorilla of ape node, which funny enough was called Lucy. But 24 hours from PR, we changed it to King Kong. But King Kong had too much ego, so it became Kong. That's all the apes' names. And Lucy died in space. It was bed karma. And so that's where Konging was born in August 17. So it's now really six years. So this is a classic entrepreneurial tale. Don't give up and be open to change your plan if it doesn't work out. That's being in the arena. That's the classic lesson. Yeah, you have to be, I think, strong on the vision, but lose on the details. Yeah, and be ready to pivot or not pivot.  I jump onto the right tailwind in this case. You kind of, by accident on purpose, got the right answer because you were in the right market. Just, it was just early. Yeah, do you surf? Have you ever surfed? I haven't surfed yet. So there's this analogy of the wave and surfing. So you have to pick the right wave because you cannot go faster and higher than the wave. So the API wave was right. What we did wrong for half a decade was the surfboard. It was the wrong technology to ride that wave. And then Kong became the right surfboard to ride the wave. And then you got the great wave. And then we got bigger and bigger and bigger and bigger. And it's getting, but it's not stopping. So let's get into what you guys are doing today.  Yeah, it was the largest API event in the world. We moved it from Kong summit to API summit. So it was just for the bigger API community. We had 7,200 registered users which made it the largest API conference today. Take me through, in your mind's eye, describe the API community out there. What's it like? Who are the people? What's the persona like? What's their jobs? Is it, because it's changing and growing fast and super important. What's the community like? Five and who are the people? It depends a lot about the company sizes. But if you had to divide it, you divide API providers and API creator, API producers and API consumers, right? You take just those big ones. So millions of developers consume API. They need a set of tools for that. We have things like Kong Insomnia that help you to consume and test APIs.  Is it secure? Those are more like vice president of platform, DevOps, chief architects, enterprise architects. They kind of architect the nervous system of the enterprises. And they're going to be the key players in our earlier section on like this next generation. They're going to be top leaders of how we architect an enterprise that looks a lot like a nervous system through our APIs basically, right? Take me through in your mind's eye, the kinds of personas that are kind of transitioning from the old way the new way. I see a lot of VMware operators turning into like super cloud, multi-cloud. Is there, in your world, do you see kind of jobs changing over and people refactoring their careers? Yeah, there's a new job, or I would say a new role that is growing up in the last few years. It didn't exist even maybe five years ago. And it's the kind of head of platform. The VP of platforms, platform engineering. Platform engineering, yeah. This is a whole new set of role.  Then the company's business unit, they can use and they can get that developer speed and building that innovation. So there's this platform layer. It would be interesting to see with AI how that changed, but at the end of the day, I think this, what is changing in the market, we see this new role, which is becoming more and more strategic, more and more powerful, and making sure that the internal platform, basically every company wants to become an API company. And if they don't do that, there will be no company in 10 years. And essentially, that means they're a cloud ops company, basically. They're cloud ops. They're DevSecOps, multi-cloud, hybrid cloud, on-premise, they don't really care. They don't really care. We see multi-clouds, a lot of multi-clouds, like usually you have two. One is your primary and one is your secondary. But that's what the way we do, we make every company become an API company. Okay, so just on the news, Insomnia 8.0 was out. It's got auto-generating tests, AI there. You got the cloud gate, dedicated cloud gateways, core product, API management across multiple clouds. And you got the Kong mesh. Yes. The API lifecycle management platform. Single pane of glass, not pane, it hurts. Pane as in glass for service mesh. Yes, yes. How are that playing out? How is service mesh going? We're going to be at KubeCon coming up. And I'll see super cloud is all the same areas kind of coming together. Of those three areas, one's more mature than the other. Give us a report card on those areas. Yeah, so if you go from the first you mentioned, Insomnia, that's on the API consumer side. We launch a new version, which allows collaboration, so developers can collaborate and generate tests. That's really making developers more productive. How's the consumer build-ups on top of their APIs? On the other side, how you proxy those API, right? You have a gateway. And we're now dedicated cloud gateways.  So you don't have to care about SLA, have ability and so on. And the last is like the mesh. We brought mesh into Connect, which is our cloud SaaS management plane, to provide a unified API platform, a unified experience where you go in and whatever you have edge use case at the APIs, you can spin up a cloud gateway. But as you're also decoupling internally service to service connectivity into 10, 100s, 1,000 services, you can also deploy mesh now inside the same kind of Uber management plane. That's, I think it's unique, it's the only product in the market that provides a unified experience end to end from mesh all the way to gateways in one single platform that provides management, control, observability, security, and publishing of APIs. And that's kind of the vision of helping you build a nervous system of the cloud. And that is to build, that's targeted at these platform engineer teams. Yes, 100%. You know, you can go mix and match, but why not keep everything together? That's what your pitch is. Right, whenever you need it, right? You can start with the gateway and then two years from now, you might turn on mesh, it's already there, click a button, we deploy your mesh. You don't have to change platform, change control plane, change edits, everything one click away to provide a seamless experience. We call that a super cloud operator, someone who's dealing with a new infrastructure, like IT used to deal with IT. This is now, I'm dealing with cloud and all kinds of AI and there's two questions that come up from this platform, actually three, what's going to be enabled on top of it? So obviously these platforms enable things. Yes. Be successful apps and whatnot, mentioned business units. And then two, AI and security. So what apps are going to be deployed? What's that going to, where are they going to land on the platform? What enables that? And security AI, what's that? Those are three areas of discussion when you go to the next level. Yeah, the connected self is a platform so we can add any kind of apps that will cover addition use case, think about API security, API CDN. So we can provide over time a lot of use cases. Internally, those platform builders, they really have two kind of objective depending on the business. One, it's internal, so making your own company more productive with a single, you know, repository API inventory that you can provide across BU's, across strategic partners. And that allows that kind of a, you know, Amazon 2004 manifest where you get this developer acceleration of building apps by reusing and finding APIs. So that's kind of the platform layer for internal, but also it could be external, like how we can help distribute our product, our business to even more use cases and you can do it through a public API, right? You can see open AI, public APIs, that's kind of the use case. So those are either internal or external platform use case. That's what happened inside. On the security side, obviously you're creating this API sprawl and I always say that you have a thousand of backdoors if you have a thousand of APIs and you need a whole set of new securities to make sure you are in compliance across all your API stack. And the security landscape right now and posture is what? And you have to define that strong. It's early days of, I would say it's early days of API security, not because of the creation of API, but just how seesaw, because that's kind of different buyers. So they're different by how they think about API security. There is a few companies that are doing Nietzsche product into that segment. I'd say it's going to grow over this decade. The need for API security. But in terms of anomaly detection, enforcement, detections, there's going to be a whole new players. Eventually we do believe that API security is a feature of an API platform, not necessarily a standalone entity. So we'll look into it. And AI is a tailwind for you. How would you answer that question? AI, we have a lot in development for next year. We're doing planning and there is a lot of things coming out for next year. Because we see APIs of our customer. Of course we have the, we see how data moves and what events needs to be triggered. So adding an AI layer on top, that's one of the things we want to do soon. And how does that change your customer, customer's environment? And as they pick up and do more initiatives with AI? The beauty of that is we try to not change it. The disruption, once we have all the API catalog, they're there, we have this kind of system or record, source of through all the APIs. That's about adding a layer that allows you to query those APIs simpler and easier.  You don't want to do that, right? If it's cloud and native, you just had an AI layer on top, but don't have to change. Because at the end, everything runs on top of an API and we have the APIs. I've been great, great masterclass there and great update on Kong. What's going on now? Give a quick plug for Kong now. What's the staff look like? Obviously business numbers, can you share any success numbers? We looking for hiring and then what's the focus for you as the CEO founder? Yeah, so we are, the mission is the same, powering the API world, making every company an API company, right? We're the leading developer of cloud API technologies. We have about 500 people worldwide. Half of our business is now outside of US. So it's pretty global with more than a third enemy and 15% in APJ. It's very global business and we keep, we're still a hyper grow and with more efficiency than last year, that's interest goes up and you gotta be a little bit more interested, but we're still in the hyper grow territory at large scale numbers. I think we're still the leader, we're the leader of the space and there is a roadmap that is like a mile long and this point about how we can having fun. Prioritize it. You having fun?  That is one of those opportunity of a lifetime. Well, I love the origination story. I love how you guys navigated that time where you had. That wasn't fun. You know, I mean, this makes character and this is what makes companies have great cultures.  You never know. Just keep, keep going.  So congratulations on your success. And the world's changing too. I think, I think this AI systems concept of a whole nother architecture is coming. I mean, my prediction is open source has already won. It's not even open source in which the software industry. So if software is plentiful in this community around that, data is the next open source question. Do you open source the data? What does that look like? Do people want to open source their TLMs? How does TLMs work with proprietary foundation malls? So I think, I think open source is going to be tested in AI in a good way. I think it's going to, it's going to, cause the software is there. Yeah, the models are there. The open sourcing data would be an interesting question. Cause you know, there's GDPR compliance and all of that. And it's IP.  Yeah. Thanks for coming on. I appreciate it and good to see you. Yeah, likewise. Thanks for having me. Thanks. theCUBE conversation here with Kong, getting all the latest insight in what's coming, a preview of the big wave coming next gen cloud, obviously AI and security. And of course, the success of Kong as a company is a testament to the cloud native world continues to march along. Obviously compute infrastructure is still exploding and growing. We'll keep it right there for you at thecube.net and siliconangle.com. I'm John Furrier. Thanks for watching.


Lux presents Hollywood. The Lux Radio Theatre brings you Joseph Cotton and Dorothy McGuire in I'll Be Seeing You. Ladies and gentlemen, your producer, Mr. William Keely. Greetings from Hollywood, ladies and gentlemen. And to those greetings, may I add our heartiest wishes for a very merry Christmas. It's a privilege for me, for all of us, to share the enjoyment of this peacetime Christmas Eve with you. Traditionally, Christmas brings people closer together, and that's what happens in our play tonight. The poignant story of two people who find themselves very much in love, but whose yuletide happiness is shadowed by a strange threat. It's David O'Cell's next green hit, I'll Be Seeing You, starring Joseph Cotton and Dorothy McGuire. In true holiday spirit, one of our listeners in the east has just written me of a Christmas relief bundle that she and a group of women sent to friends and relatives in Lavik, Norway. Knowing that that country hadn't received a scrap of wool in five years, they collected all the woollen garments they could find. Sweaters, caps, gloves, socks, dresses. Then, she adds, we knew we must send lux flakes to care for them. And so those cheerful blue and white packages of lux flakes became an important part of our Christmas bundle. To Mrs. Sollinson, the author of that kind deed, all our thanks. And I'm sure she and her friends will have the lasting thanks of Christmas-cheered Norwegians. Here's the first act of one of I'll Be Seeing You, starring Joseph Cotton as Zachary Morgan and Dorothy McGuire as Mary Marshall. On the 24th of December, just one year ago, a girl left the warden's office of the state prison for women. She walked across the wide courtyard to a massive iron gate. What's your number? 40721. Here's my pass. Mary Marshall? Yes. Wait a minute. Shelby, Northgate, 40721 with a pass. Check. Letter out. Okay, thanks. You're free as a bird, girly. How long? Till the first. Remember that. Till January 1st, and don't cross the state line. I'll remember. And don't forget we'll be holding that nice little room for you. And on that same morning, in a different section of the same city... I can't tell you how glad I am to see you getting out of the hospital, Sergeant. Thanks, Doctor. I wish I had a little more of your confidence. You're not entirely well, no. But the only thing that's holding you back is yourself. I'll do my best. What if I should get one of those spells while I'm away? It's possible you will. Call a doctor and then get in touch with us or any other army hospital. Just avoid excitement. Don't tire yourself. Yes, sir.  You've been sick and now you're getting well. Now let's see. Your leave will be over or when? New Year's Day. Just have a good time, Zack. Good luck, and I'm proud of you. Thanks, Doctor. It's quite an adventure getting out in the world again. But I'll be fine. I'm sure I'll be fine. And that's how, an hour or so later, a girl named Mary Marshall and a soldier named Zachary Morgan looked at each other from opposite seats of a westbound train.  What? Yeah, your magazine. You dropped it. Oh, thank you. Going home on a furlough, Sergeant? I'm on a furlough. They gave me a furlough. You? Oh, I'm taking a vacation. Christmas vacation. Oh, uh, what sort of work do you do? Well, I travel. A traveling saleswoman. Um, sales lady. Well, I never heard any jokes about traveling sales ladies. Guess there aren't any.  A school teacher. Well, I was once a secretary and I wanted to be a model, so that would have been pretty good guessing. Going to Los Angeles? Oh, no, I get off quite soon at Pine Hill. Oh, is that your home? No, I'm just visiting my aunt and uncle. That's funny. I'm going to Pine Hill, too. My sister lives in Pine Hill. Oh, well, that should be crazy to see you. I hope so. Maybe we'll run into each other there. Yes. Say, would you like a cup of coffee or something, or a sandwich? Well, yes, I would. I think there's a club car or something down this way. Oh, I'm sorry. My fault, I'm pretty clumsy. I keep bumping into people all the time. Yes, I think it's down this way. Taxi, lady, taxi. Oh, yes, please. Well, goodbye, Sergeant. Goodbye. Oh, wait, wait. If anybody tried to phone you, how could they get you? Well, my uncle's in the book. Henry Marshall. Henry Marshall. Oh, well, what's your name? Mary. Mary Marshall. Mary Marshall. Goodbye. Goodbye. If somebody calls and says it's Zachary Morgan, that's me. Oh, well, I'm glad to know you. Have a good vacation. I will. You too. Oh, uh, hey, mister. Yes. You happen to know of any hotels around here. Well, there's just one, Sergeant, but it's filled up. Is there a YMCA? Oh, yes. You see that church steeple back there? Well, that's Santa Street. Just turn to your left and you run right into it. Thanks. Thanks a lot. Just this one room left. It'll do fine. I'll take it. Staying here for long, are you? A week or so, I'm not sure. Oh, about the rampart. Don't worry, boy. Just stop at the desk sometime.  Thanks, I will. Don't get worried, Zach. Don't get worried. You've got a problem, sure, but it's simple. You ought to hang up your coat, unpack your bag, and put everything neatly away without dropping anything or bumping into the furniture. You think you can do that? Well, let's try. That benefit wound is all healed, but the wound in your mind... will take a little longer. Don't get too tired. Don't give in. Then you won't get any of the... those things that wind up with a shot in the arm or an ice pack or that little room. What's the matter, Zach? I forgot. I forgot where you were for a moment. It's all right. You'll get well. You'll get well. You'll get well. You'll get well. Let me look at you, Mary. Well, you haven't changed at all, dear. Not at all. Thank you, Aunt Sarah. Oh, it's good to be here. We're so glad to have you. Barbara! You can share Barbara's room, dear. I don't want to disturb anybody. Oh, nonsense now here. Give me a coat. Barbara's 17 now. She's pretty spoiled, though. I think an older girl will be a very good thing for her right now. I didn't think to talk about it with her. You want to wash up. Hi, Mary. Barbara! Why, Aunt Sarah, she's a beauty. Come home. Take Mary up to your room, dear. If you're busy, Barbara, I can... Just follow me, lady, to my budwa. Some budwa, practically no bigger than a... Barbara. Oh, I'm sorry, Mary. Now, look, we all know I've been in prison and that I'm going back to prison. So it just isn't right for anybody to try and cover up.  Now run on up, dear. We have our own bathroom. See? Mm-hmm. Oh, oh, Mary. I was just thinking that... that's nothing I suit you have on. Well, thank you. You were thinking something else, too. Well, I guess I was. I just... Well, well, I never knew they gave vacations to people. Well, I didn't know about it either, Barbara, until the warden told me. Yes. In certain states, they give special furloughs to people for good behavior. Oh, I think it's wonderful they have that confidence in you. Yes, I think so, too. Well, I'd better wash up. There are two towel racks, Mary. Yours is on the left. Thank you. And the soap. There are two bars here. Yes, I... I thought you might like a new case. It's right there. Mary? Yes, I heard you. I'm not using your soap. Well, I'll run along downstairs. Thank you, Barbara. I want to hear about Uncle Henry. How is he? Oh, fine, dear. If he works too hard, have Don drugstore of his. I've been so anxious to see him at Sarah and you. That's sweet of you, dear. But I guess you'd be happy to see, well, anybody. Has it been bad, Mary? Oh, I've survived. It's just this feeling I get about coming out into the world again. Now, you listen to me.  Most people will be willing to let it go at that. I know, but I... Well, I just don't seem to belong. I get in. And the dreams I've had for the future are just impossible. Well, most dreams are, dear. But I'm not talking about palaces and rainbows. I'm talking about a home like this with a kitchen and a stove and an ice box. And a husband and a child. Yes, I have all that. But I used to dream about palaces and rainbows. But you're happy? Of course, because I didn't hold out for too much. I accepted what was second best. You have to get used to accepting what you think is second best and then you find out that it's first best after all. Oh, Barbara! Well, I don't see how that could ever work for me. Well, I have time to think about it. Lots of time. Coming, dear. It's for Mary. For me. Oh, it's this way, dear, in the hall. It's a man, Mary. He sounds super. Come along with me, Barbara. We'll set the table. Hello? Oh, yes, Zach. Of course I meant it. Well, what about your sister? Oh, that's too bad. Well, I'd love to, Zach, but, um... Oh, wait a minute. Aunt Sarah? Yes, dear? It's a soldier I met on the train. Oh? He came to visit his sister, but he just found out she's away and he wants me to go to dinner. But why not ask him here for dinner? May I, Aunt Sarah? Why, of course. Tell him to come right over. Hello, Zach? You ought to come here for dinner. Oh, but we want you. Hmm? Oh, 617 Elm Street. That's right. Goodbye. Is he good-looking, Mary? Why, I don't know. Didn't you notice? Now that's enough, Barbara. Just get the table set. Wow, a soldier! Mary, soldier, you'll be here any minute. No, that's fine. Tell mother I'll be right down. Dad. What? You know, you never told me anything about Mary. Why was she sent to prison? You can find that out some other time when you're older. No, that's what mother says. But I still don't see why I shouldn't know. Now, Mary made a little mistake, and that's all there is to it. Don't bother me now. But they don't send you to prison for just doing nothing. What if my friends ask me about her? Just tell them that Mary's your cousin. And from that point on, they can mind their own business. Seems to me that your business might be helping your mother. Oh, Dad. Oh, I'm sorry. I thought this was a Marshall home. It is. Is Miss Marshall here? I'm Miss Marshall.  Oh, well, she... Barbara, stop teasing that young man. Oh, I'm Mary's aunt. You're Zag. Yes. Please come in. This is Barbara, my foolish daughter. Hi. Hello, Zag. Oh, hello, Mary. Oh, well, you found it all right. Mary takes Zag into the living room. Make him comfortable. Henry! Here I come. Come along, Barbara. Oh, mother. This is swell, Mary. I haven't been in a real home like this in almost as long as I can remember. It's too bad about you're missing your sister. Mary, I... I'm in this house under false pretenses. I really haven't, sister. I'll have to pull that up. Made it up? Yes. When you said you were getting off the train at Pine Hill, I had to make some sort of excuse so I could get off, too. Oh. Well, good evening.  Happy to have you here, Sergeant. Thank you. Very happy. Make yourself at home. How about a little drink? I have some bourbon. Thank you. I'm not drinking just now. Well, let's you know a little secret. Neither am I. Funny thing, people that are happy don't want it. People that can't get it. Well, you ought to see the act they put on my drugstore to get that stuff. Dinner's ready. We're here. And Zach, down there. Thank you. And Dad, now, I think you can open the door there. Oh, that's it. Oh, that's it. That's it. All right. I think I'll say a little blessing. We thank you, God, for our daily bread. We'll do our best to deserve it. Please look after all our dear ones, all the boys who are far from home, and all are in the hospitals. Amen. Amen. You aren't used to saying grace, are you, Zach? Well, in the army, I guess you don't have time. But you said as if you meant it, sir. I do, Sergeant. Makes me want to say that I'm grateful, too, for being here, for everything. Oh, thank you, Zach. Hey, you must be quite a soldier. I wouldn't say that. Oh, let the man eat his soup. But look, the good conduct medal. Two campaigns in the South Pacific and the Purple Heart. For heaven's sake, where'd you learn all that? A girl gets to know medals like she does boogie-woogie. But the Purple Heart. Why, that means you were wounded. Oh, come on, Zach. Tell us how you got to be a hero. Barbara. And after dinner, you take off some of that lipstick. Looks as if you fell into a pot of paint. Sergeant, you must have been disappointed not to find your sister. Well, yes. Oh, she had a chance to spend the holidays in California. Oh, yes. It was quite sudden. She wasn't expecting Zach, was she? Oh, no, she wasn't. Zach, are you mad at me? Well, for asking all those questions. No, I'm not mad.  No, I'm not mad. Mr. and Mrs. Marshall? No, Barbara. I don't think anybody's mad. Well then, for heaven's sake, pitch in, everybody. Pitch in. After a brief intermission, we'll bring you act two of I'll Be Seeing You, starting Joseph Cotton and Dorothy McGuire. Every screen picture started as an idea in the mind of a writer. Tonight, Betty Bryant, wife of Leslie Charteris, one of Hollywood's most famous writer of mystery stories, is here as our guest. Mr. Charteris wrote the famous Saint Series, an Universal's colored thriller, Lady on a Train. Tell me, Betty, I hear Leslie writes very rapidly. What's his secret? Well, for one thing, he never changes a word. Hmm, sounds like genius. He says he really doesn't like writing. He'd rather cook. He does that, too. Yes. And I don't mean just steaks and chops. Some of his more sensational recipes take a day to do. Hmm, the most I can handle is scrambled eggs. You know, if I didn't know Leslie had written so many exciting stories, I'd say he'd missed his vocation. Which of his mysteries is your favorite? Well, my favorite story is Saint Overboard, but my real favorite is something the public's never read. The letter Leslie wrote asking me to marry him. He wrote you instead of asking you in person? Well, you see, I was singing in New York and he was working here in Hollywood. And now you're birthed both here. Tell me, what does Leslie do besides work? Well, we both love to take our trailer for a quick vacation. Doesn't that mean extra work for you? I like it. We take a minimum of baggage and a box of trusty luxe flakes, Mr. Keely. Luxe is a wonderful fresh wrapper after a dusty ride. You know, for things like underthings and bosses. I'm sure John Kennedy likes to hear you say that, Betty. Yes, and thousands of women all over the country agree with Mrs. Charteris. They've discovered that luxe care keeps pretty undies, as well as other nice washables, lovely much longer. In actual tests, slips and nighties washed with strong soap, hot water, and rough handling, soon looked faded and drab. But with luxe care, the identical garments stayed lovely three times as long. I don't doubt it, Mr. Kennedy. And if Santa brings me some pretty new lingerie for Christmas, you can be sure that I shall continue to use luxe care. Well, Betty, I hope Santa is listening in. And many thanks for being with us. We continue with Act Two of I'll Be Seeing You, starring Joseph Cotton as Zack and Dorothy McGuire as Mary. It's about three hours since dinnertime, and down on Main Street, Zack and Mary are just walking out of the lobby of Pine Hills Movie Theater. Zack's face is strained and drawn, as he takes Mary's arm and heads aimlessly down the street. What's the matter, Zack? Jelly? Oh, no, no, not Jelly. I don't know where you're walking. It's the other way. Oh, sorry. Zack, what's the matter? I just... nothing, nothing's the matter. It was the picture, wasn't it, about the war? Zack, why didn't you say something? It wasn't such a bad picture. Is war really like that? I guess so. You guess so? Well, they have experts making those pictures. I guess that's the way they see the war. A beach a mile long and thousands of soldiers and tanks and machine guns. I guess that's the way it is. It wasn't that way for you. Well, it's just the difference in size. To a guy that's in it, the war is about ten feet wide and kind of empty. It's you and a couple of fellas from your company, maybe, and the Japs. It's all kind of mixed up. Sometimes it's all full of noise and sometimes it's quiet. It depends on what you're thinking about, I guess.  Mary, you know what? What? I mean, well, usually I don't like to talk about the fighting. I never said anything about it ever before, not to anybody. Oh, I'm sorry. I should have known. No, no. I feel kind of good. Let's have a drink or something. All right. There's a place across the street. Yeah, well, let's see what it's like. Let's go across the street. This booth all right, Zack? No, it's fine. Show you all you want's coffee. Passatere? Oh, come on. It's Christmas. Sky's the limit. Have a piece of pie with it. Not after Aunt Sarah's dinner. They're nice people, Mary. You're nice people, too. Here you are. Two cups of coffee. Thank you. Say, I'm an old army man myself. Cream, Mary. Oh, thanks. I was in France in World War I. And you know what? They're kidding themselves. This is exactly the same kind of war. I'll show you all how to have some cream. Thanks. The Navy Marines Air Force, OK. Great, great, great. But this one's going to be just like the last one. A soldier like you and me, walking out in his own two feet and slugging it out with his rifle. Would he spin it? Sugar? Oh, thanks. You got enough in that bowl? Yeah, plenty. Like I was saying, when this thing starts, I try to sign up again. I tell them I want a chance to knock a couple of Japs heads together. I'm strong, see? Squish them like a couple of eggs I could. But they wouldn't have me. Wouldn't let me fly. Why? Want a kind of this? Look, look. My face, see? Yeah.  Look, I don't mind. I see, I see. Zack, are you sure you're all right? Yeah. Kind of a twitch, see? I got a little show shock. Well, it left me with this. Nobody ever notices it, but that squirt medic had turned to me down. Now, Jenner, I got this.   What's the matter with him? Zack, where are you going? Hey, what's up, sister? Hitting the bottle, huh? If we walk fast, Zack, we'll get nice and warm. I'm glad you like walking. It's a fine night. Oh, it's Christmas Eve. That's right, it is. Mary, I'm all right now. Thank you. Thank you for not asking any questions. Sometimes I don't like questions either. Let's just walk, hm? Let's just walk. I'd like to ask you in, Zack, but it's late. Mary, I think you ought to know something I wish I could tell you. I wish I could explain it. You probably think I... Well, I look fine, don't I? Healthy, don't I? Well, I am. Look, you see this rock? Yes. Well, watch. Watch me hit that lamppost down there. Oh, you're terrible. I'll bet I could do better than that. Now, watch me. Sure. All right. Thanks, Mary. Good night. Zack. Zack. Oh, hello, Barbara. I thought you'd be asleep. I've been writing letters. Look at them all. I'm the pin-up girl for five fellas. I keep up their morale, maybe. Must be nice to help somebody's morale. Oh, you can write letters. You know, they just like to get mail from anybody. I mean, well, you don't have to know them awfully well, too. When I was 17, I had trouble finding the right words, too. Oh, I'm sorry, Mary. I keep hurting you. That's all I do. I keep hurting you and I don't want to. I guess it's uncomfortable for you to meet somebody like me. But maybe when you get to know me, you'll feel differently. Oh, I want to know you, Mary. Really, I do. Barbara, how much do you know about me? Well, not much.  Everything's a big secret. I don't think it would hurt you to know. As a matter of fact, it might help. Well, Barbara, when I was 15, my mother died. Oh, I remember her. She used to make clothes for all my dolls. And not long after that, my father died. I finished school and then I went to work. In a couple of years, I found myself working for a man. Well, the kind of man you dream about when you're 19 and lonely. He was single. He was good-looking. And, well, I started dreaming. Bosses do marry their secretaries. Well, one night there was a party. It was the first time he'd asked me anywhere. It was at his apartment, except that when I got there, there wasn't any party, only him. And then he wouldn't let me leave. He'd been drinking. And it was all mixed up like some kind of terrible nightmare. Once I almost got away when he fell over a chair, but he caught me and dragged me back. And then I pushed him. I pushed him as hard as I could. And he fell back. There was a low window and he crashed through, screaming and clawing for something to hold on to. His apartment was on the 14th floor. Oh, Mary, how awful. But it's wrong. They shouldn't have sent you to prison. If I'd been lucky enough to get away before he was killed, I wouldn't have been any crime. But a man was dead. The jury said manslaughter. That meant five years. Please forgive me, Mary. Oh, please. It's all right, darling. It's all right. Zach, good morning. Merry Christmas. Merry Christmas. Mary, I'd like to see if I can now. It's sort of important. Well, certainly, Zach. Do you want to come here? The family's just going to church. Well, Mary, I want to talk to you about last night, and it may take some time. Well, I have time. Plenty of time. There's a bus that leaves the railroad station. It goes up to a lake. They say it's pretty out there, and we can be by ourselves. Well, it'll be fine, Zach. I'll meet you at the station in 20 minutes, all right? Well, that's fine, Mary. And just before they left for church, you come for Christmas dinner, so no arguments, please. Now, look, they don't know me from Adam. It's Christmas. Yes, it is Christmas. And I'd say that was the best reason of all why you should come. Well, well, sure. I'll be glad to. Well, that's better. Look, there's the lake, Zach. Not a very big lake, is it? We'd sit here on this rock if it isn't too cold. Well, let's try it out. This reminds me of the lake I used to go to when I was a kid back in Maryland. I had a job every spring there, preparing the boats. Oh. Mary, I want to tell you why I got mad at that man in the coffee shop last night and why I walked away like that after I threw the rocket the lamp post and missed it. You don't have to tell me, Zach. Look, I was brought up in a home, an orphan's home. Well, that's nothing to be ashamed of. Well, I'm not. It's not like being in prison or anything like that. No. Well, in the home, there was a janitor. He was a shell shock case, too. Whenever we could get our hands on any firecrackers, we'd bang them off and laugh at him the way that he'd jump. Well, that fellow in the coffee shop reminded me of him and they both made me think of what I'd be in a few years. Only difference is that now they have a fancy word for it, a neuropsychiatric. The doctors must know a lot more about it. Maybe they do. But they don't know something about me that I know. You see, before I went in for engineering, I was an athlete, a pretty good one. I know what my timing used to be. The doctors don't. It's gone, Mary. Before this happened to me, I could have hit that lamppost all day. I don't know why I'm bothering you with all this. Yes, I do. I'm bothering you because I feel so much better when I talk to you. I like to be with you. I like to be with you. Mary, I want to talk about you. Tell me. Well, for instance, how did you become a traveling sales lady? Well, I started out wanting to be a model and after that I got with this dress company and now I travel for them. Where? Well, after your vacation. Where do you go? Back to Dallas and then to New Orleans, Florida. Mary, can you make me believe in myself the way you believe in yourself? What makes you think I do? Well, I can tell.  Maybe that just pretends to impress you. Look, there's a boat down there. Oh, not a real boat, just a toy boat. At the edge of the water, see? It's half-dried down the mountain. Yes, some little kid once owned that boat. Probably thought it could take him all around the world and back. I wish it could. I wish we could get on it and... where would you like to go? We could go to New Orleans, some place like the Moon maybe. What a good breeze. Maybe we could make it. Mary, if it were a real boat, the Moon a real place, would you go? There's no harm in dreaming as there's a hack. Yes, I'd go. I'd go. I'm getting to know your uncle's gate very well. This is where we were standing last night. What are you doing? Getting another stone. What timing is in daylight? Hey, it's the idea of knocking it out of my hand. I'm not going to have you run out on me again. Now, come on in the house. Say I could eat another bite. You know, I never could figure it out. If the plum pudding is on fire, why doesn't it ever get burned? Must be the alcohol and the brandy. I think that's a terrible waste of good cognac. Oh, don't worry, Henry, there's lots left. I wouldn't trust Mom with it, Dad. Oh, now I'm not going to listen to that again. You may not believe this about your dear Aunt Sarah, Mary, but last year she got as high as a... Oh, Henry, nothing. They're trying to drag out a family skeleton. Mrs. Marshall, I won't listen. True as I sit here, had a glass of sherry to bring in the new year, and by George, you should have seen it. She did about everything but hands. Oh, now see here, Henry. If you're in such good voice, how about a Christmas carol? Something tells me Aunt Sarah's trying to change the subject. Well, nothing of the sort, Christmas carols. Go with plum pudding, and that's what we're eating, plum pudding. All right, darling, all right. What'll it be? Oh, I think I like little town of Bethlehem best. Fine. A little town of Bethlehem it is. Me, me. Oh, little town of Bethlehem How still we see thee last sleep The silent star yet in thy dark streets Shineeth the everlasting light Well, Zach, it's pretty good having another man around here. I can't quite tell you how I feel. This is the best Christmas I ever had. To think that you wanted me here, that you all had presents for me. Well, yesterday I was a stranger here.  Now, well, just to be in a home like this, maybe some place I can come back to next month or next year. Excuse me, please. Did I say something? Oh, no, Zach, no. It's just that Mary's sentimental. Especially Cronola, I'd better. Oh, Mary, Mary. It's all right. I'm just so silly. Is it anything I did, Mary? Anything to do with what I talked about at the lake? It's just a combination of things. A plum pudding and the singing and the very nice things you said. Mary, maybe I'd better get out of here. Oh, it isn't polite to eat. I didn't mean just this house. I meant Pine Hill. I ought to leave you alone. I just want me to ask you to stay. Well, ask me. Please stay, Zach. Mary, I... I'd stay forever if I could. Forever. I'm to go turn in, I guess. It's been a big day. And I had to spoil it with that scene at dinner. Now, honey, we'll have no more of that. Barbara? Mommy! Might have happened to any girl. Could have been just Christmas sentiment. Well, good night, Mary. Good night, Uncle Henry. Aunt Sarah. Yes, dear? I've been wondering if I should tell him about me. Not for the world. But why? Zach trusts me, and, well, it just doesn't seem fair. But he'll only be here for a few days. Why, he mentioned that just now, just before he left. He's lonely. And you're making things pleasant for him. That's not the reason I'm seeing him. I like him, Aunt Sarah. I like him a lot. Well, I assume that, or else you wouldn't have asked him to the New Year's dance. But it isn't as if you were going to marry him. No. It's not as if I were going to marry him. Oh, Mary, dear, I didn't mean it like that. I know. Have fun, Mary. See Zach every day if you like. Just act like any other girl. I try, Aunt Sarah, but I just can't seem to make myself feel like any other girl. I just feel like me. And that's pretty darn good if you ask me. Hey, you two, what's cooking? Just remember, Mary, I don't think so. Good night, dear. Good night. She doesn't think so what? She doesn't think there really is a Santa Claus. Huh? Oh. We pause now for station identification. This is CBS, the Columbia Broadcasting System. Our stars Joseph Cotton and Dorothy McGuire will return with act three of I'll Be Seeing You after a brief intermission. Let's pretend we can see into the future. It's Christmas morning at the Browns, and Betty and Jane are opening their presents. Jane reaches for a package from An-Soo. Oh, let's open An-Soo's together, Betty. They're probably both a lie. I wonder what she's sent this time. Oh, look, stockings. Oh, no, not nylons. No, but they're lovely and sheer. Well, I can use anything I can get my foot in. I'm down to my last pair of stockings. Look, three pairs. Oh, swell. I'll see me through a couple of weeks. A couple of weeks? Well, these will last me for months. So about a month later, the girls were dressing one morning when... Oh, dug on it. There goes a run. Well, there's the last of my Christmas stockings. Guess little Jane will have to go shopping for herself. Oh, look, Betty. You could lend me a pair for today, could you? Guess so. Look in the top drawer. Say, aren't these your Christmas ones? Well, haven't you worn them much? Of course. But I lux them. What do you do with yours?  I used anything that happened to be handy. Well, I still have three pairs and no runs. Okay. I guess it serves me right. Don't I get to borrow these, then? Oh, sure. Look, I'll even let you keep this pair, but there's a string to it. Use lux. If you don't get twice the wear you did from your others, you'll have to buy me a new pair. It's a deal. I'll certainly play safe and lux them. It's a safe bet that if Jane does lux her stockings after every wearing, she will cut runs way down because strain tests have proved that with lux, stockings retain their elasticity much longer. They don't go into runs nearly so quickly as stockings washed with strong soap or rubbed with cake soap. For extra wear, give stockings gentle lux care. Here's Mr. Keely at the microphone. We bring you the third act of I'll Be Seeing You, starring Joseph Cotton as Zack and Dorothy McGuire as Mary. Seven days have passed since Zack Morgan and Mary Marshall stepped off a train together at Pine Hill. Christmas has come and gone, and now Pine Hill, like all the troubled world, waits with eager hope the coming of the new year. All the towns gather tonight for the annual dance of the YMCA. My goodness, Zack, there isn't a woman here with prettier corsages. You've thanked the man a dozen times. Let him alone. And Sarah's right, Uncle Henry. You're just afraid Zack's spoiling it. Well, maybe I am. But flowers make you feel so like a party. Oh, there's Amy Anderson. Wait till she sees my lovely camellias. Well, that's my cue, Zack. I guess she wants me to leave you alone. Alone in this crowd? Thank you. How about a dance, Mary? I'd love to, Zack.  What would you have said? I'd have said I wouldn't be dancing with a girl like you. You know, I used to be pretty good at this sort of stuff. One sec. Well, what's happened to the orchestra? Somebody must have tipped them off. Well, potentially it's just 10 seconds to 1945. New years. Ladies and gentlemen, may I be the first to wish you all a very happy New Year. Happy New Year, Zack. Glad you wanted to walk home, Mary. It sure is a swell night. So beautiful I could... No, what in the world is that coming down the street? It's all but just some kids in the job.  They're shooting something. Just fire crackers. It's all right, Mary. It's all right. Look, they're throwing them. They're throwing them over the fence there, that dog. Oh, that's really a dog, too, isn't it? I don't mind saying I'm glad he's chained. Don't you believe in that saying about barking dogs? Well... Look at him, he's tugging at his chain. Well, Mary, you're scared.  Zack, maybe we better cross the street. Oh, no, no, Mary. The thing about a dog is you must never let him know you're afraid of him. You have to treat him like an old friend. Now, watch me. Here. Here we go. Here. Oh, yeah. You see what I mean? Yeah. I'd hate to run into him on a dark street. Well, what do you think this is? Mary, look out. He's loose. He's jumping the fence. Stay away, Mary. Stay away. Let him get back. I didn't help you. No, I'm back up fast. You hurt, mister? You hurt? I kept your wits wrapping. I coat around you. I meant the smartest thing you could have done, mister. Yeah. I'm sure sorry, mister. You sure you're okay? I'm okay. Come along, Mary. I can't stop shaking. You'll be all right in a minute. I'll be all right. I thought he'd tell you to pieces. I feel scratches from his claws. He didn't bite me. Oh. You know something? What? Don't you realize what you've done? What? I bet you couldn't have done that a week ago. Done what? Oh, not just now with a dog. I mean all evening. I've watched you all the time. You've never hesitated for words and your eyes haven't blinked. And then just now I... Well, I've never seen anyone whose reactions were so fast. I didn't even think about what I was doing. That's just it. And your timing. It was perfect. I hope you're right. I believe you are. Mary, yesterday you... you told me that in a week's time you can do a lot of believing. Well, you see, I'm that fellow that's on the radio that says life can be beautiful. You're beautiful. You're just saying that because you know I've got lots of money. You're wonderful. Because you know I have very influential friends. You're wonderful. Because of my social position. Wonderful. Zack, we're home. Yes. Mary, I... I know now I'm going to get well. And I've got plans, lots of them. And you figure in all my plans. You've got to figure in them because without you I... Oh, I'm back where I started. I'm sunk. Zack, let's not talk about it now. I'm... I'm kind of sleepy. All right. I'm leaving early tomorrow, Mary. Before I go, I've got a lot of things to tell you. Yes. Good night, Zack. Good night, Mary. I love you very much.  You all right? Oh, Aunt Sarah, I love him so. How are you going to do, Mary? I don't know. He's going to ask me to marry him. Have you told him about yourself? No. Are you going back with him on the train tomorrow? How can I? I'm afraid to be alone with him now. Oh, Aunt Sarah, I mustn't tell him. And I lied to him at the dance. I told him I was going to stay there a couple of extra days. Don't you think he's strong enough yet to know about you? I don't know. And I can't take that chance. He's getting well. I want him to go back to that hospital sure of himself. Of himself. And of me. Remember, dear, what you have to do may seem to be second best. But it may work out to be first best after all. Oh, Aunt Sarah, I hope so. Oh, evening, Sergeant. Should say good morning. Happy New Year. Thanks, you too. Have a good time tonight at the dance? Oh, how wonderful. Say, you're checking out tomorrow, you said? That's right. And I want to thank you. I've enjoyed my stay here very much. That's fine, son. Fine. Well, I'll see you later on. Good evening, Rome. Happy New Year, Rome. Happy New Year, Zeig. May I have this dance with you, Sergeant? Oh, and may I be the first to... The room. It's spinning. Hold on, Zeig. Hold on. It's spinning like a top.  You're just a little tired, that's all. Try to avoid excitement. Don't tire yourself. Avoid excitement. Don't tire yourself. Lot of excitement, huh? Fight with a dog. Took a lot out of you. That's why you're sweating. Doesn't mean anything. Sit down, Zeig. Sit down. Sit down. Sit down, Zeig. Sit down. Easy. Take it easy. Your heart, Zeig. It's starting again. It's pounding away. Faster and faster. Don't get scared now. Don't get scared. Call a doctor. Then get in touch with us. Any Army hospital. Call a doctor. It's just one of those things, Zeig. They told you it might happen. Hang on. It's sure banging away. Zeig, your heart doesn't really sound that loud. You're just thinking it does, then, Saul. The doctor told you there's nothing wrong with your heart. Beating fast like that doesn't mean a thing. It doesn't. It doesn't. Stop kidding yourself. This is it. You're in for it, Mary. You thought for a minute it wasn't, but it is. You know the next step. You know what's coming now. You better call for a doctor. Let him get that hypo ready. Top of ice water. It's coming, Zeig. It's coming. I'm downstairs. Breakfast ready? She's getting dressed. Where's Mary? I'm hungry. Work on those eggs. I'll get the door. Morning, Mr. Marshall. Oh, hello, Zeig. Happy New Year. Come on in. Have a good time last night. Best party I've been to since last New Year's. Had your breakfast yet? Yes, sir. Now I go. Well, here's the newspaper. Make yourself at home. Be with you in a minute. Thank you. I'll drive you down to the station. Who was it, dear? Zeig. Morning, Mary. Good morning, Uncle Henry. He's in the living room. Zeig. Morning. Hello. I was just fixing some sandwiches for the train. Wonderful. Mary, don't you think you'd better get ready? I'll finish that. Yes, I'd better. I'll be down in a minute.  Your eggs are ready. Yes, ma'am. Thank you, Zeig. Hope you don't mind. Take your time. Besides, here comes Barbara. Hello, sir. Hello, Barbara. Hi. You look nice. Thank you. That's your bag out there? Uh-huh. Gee, you sure look a lot better than you did a week ago. I feel a lot better. You think the Marshall food did it? I think it was mostly your cousin, Mary. Oh, she's awfully nice. I've noticed that, too. You know what? I think I'll marry her. Are you kidding? Not as far as I'm concerned. Oh, won't you mind waiting? Well, well, it's up to Mary. Things have worked out so well that, well, I may not have to wait as long as I thought. Yes, and the fact that they let her out of prison for Christmas is a pretty good sign. What are you talking about?  She's not a criminal. Criminal? I mean like a real criminal. Oh, it's too bad you two can't go back on the train together. But then Mary isn't due in Easton until nine o'clock and she wants to spend as much time with us as she can. After all, being in that awful place for three whole years. Come on, thanks. We're going to be late. Mary. Well, goodbye, Zach. Zach, is there something wrong? Wrong. Well, have a nice trip and come back real soon. Oh, Zach.  Thank you again, Mrs. Marshall. Good luck. And here, here's your sandwiches. Thank you. Mary, hurry. You should have been quiet, Zach. Well, I catch on. Three's a crowd, huh? No, no, I didn't mean that. Zach, is there any special address or do I just write to you and care of the hospital in Easton? Yeah, care, care the hospital. Zach. It'll get there all right. And you can write me and care of Uncle Henry. Sure, we'll forward it to wherever she is. Okay. Because I won't know what hotels I'll be stopping at. Sure, sure. Well, goodbye. Goodbye, Zach. You will write him. Sure, I'll write. And thanks again, Mr. Marshall. It was nothing, boy. Zach, what's the matter? What's wrong? Wrong. Don't... Not a thing, not a thing in the world. Goodbye, Zach. Goodbye. Good luck, Zach. Look, he's not even waving, Uncle Henry. Oh, what's the matter, I wonder? He acted kind of strange ever since we left the house, hmm? I think I know. Zach! Zach! He's gone, Mary. Oh, he knows. He knows about me. He knows. That'll want another cup when they get back. Mother, if you'd been in Mary's place, wouldn't you have gone along with Zach? Don't ask so many questions. I'm sure Zach's willing to wait until Mary's out of prison. I don't see why... Prison! Barbara. Barbara, you didn't tell him. Who wasn't Zach supposed to know? Oh, Barbara. Oh, why didn't anybody tell me? Why didn't you warn me? I should have. I should have. Oh, Mary's always treated me like a grown-up. I didn't want to hurt her. Now I've done something terrible again. They're coming in. Be quiet. No, I've got to tell her. I've got to. Mary's so ashamed of myself. I love you. But I didn't know. I told him, Mary. Don't cry, darling. I told him. Please don't cry. He had to know some time. At least he didn't know until the last moment. That's something. Oh, please, darling, don't. Well, I'll go pack now. Come and help me, Barbara. There's a train in an hour. I think I'd like to leave as soon as I can. I'm reporting back. Oh, to Marshall, isn't it? That's right. Have a good time. Aren't you going to open the gate? You've got a little time yet, sister. What are you talking about? Down at the corner. The guy's been waiting for you. Down at... Zach. When you're ready, just pound the bell again. Mary, I... I didn't want to make you cry. There's nothing wrong with crying at a time like this. The minute I got on the train, I knew why you didn't tell me. Oh, nothing matters, except that you're here. I'm terribly ashamed for walking out like that. I need you, Mary. I want to feel that you need me. Oh, but I do. I do. I'll be right here. I'll be right here waiting. I'll be all well by then and ready to make a new start, too. I love you so much, Zach. I love you so much. Oh, we'll get by, darling. Yes, I think we'll do just fine. A moment for a curtain call and a word about our play for next week. Tomorrow, for the first time in two, three, even four years, millions of men throughout the country will be eating Christmas dinner with their families. The war is over for them, but their wives still have a job to do for their country. What kind of a job, Mr. Kennedy? A job that will help all of us during reconversion, saving used fats. But fats aren't rationed anymore. That's just the point. Although food fats aren't rationed, there is actually less fat than ever for industry. But can't we import more? Not yet. The islands in the Pacific that used to send us millions of pounds of oils a year still aren't producing. So, for example, the people who make soap have to share the available oils with other industries. That's why you can't always get all the soap you want. Will saving used fats help? Yes. These fats are released for all sorts of heavy industry. That means more of the fine oils can go into soap. Looks as if I'd better start right off saving again, Mr. Kennedy. Good for you. This week you'll have an extra supply of used fat. Start by pouring the grease from the breakfast bacon or sausage into a tin can. Then add the drippings from your Christmas turkey or goose, and don't forget to skim the giblet gravy after the dinner, and the turkey soup later in the week. Do I get anything for these fats? Yes, indeed. Your dealer will give you four cents for every pound you turn in. But more than that, if you and every housewife in the country save used fat now, as you did in wartime, soap supplies will become more plentiful. You won't have to wait for your favorite brand. Here's your producer, Mr. William Keely. Tonight we've received one Christmas present today early, in the form of two superb performances by Joseph Cotton and Dorothy McGuire. Thank you, Bill. And I'm sure now that you're both eager to get back to your families and those Christmas trees. Sounds good to me, Bill. I've been away for so long on location. How's that technicolor epic Duel and the Sun coming, Joe? Well, we're still working on it. You, Jennifer Jones, Gregory Peck, and half of Hollywood. You don't actually fight a duel in that picture, do you, Joe? Of course not, Dorothy. You know how the early West was. Nothing more violent than harsh words at 20 paces. Tell me, Bill, what about your next play on Luxe? For New Year's Eve next Monday night, we have what is certainly one of the most gripping pictures of the year. It's Warner Bros. Pride of the Marines, starring in their original screen roles, John Garfield, Eleanor Parker, and Dane Clark. If you feel like entering the new year with an extra measure of hope and courage in your heart, you'll find it in this deeply moving drama of a wounded veteran who refuses to become a burden to the woman he loves. That's a very timely picture with so many of the boys coming home from overseas, Bill. Good night. Good night, and happy holidays. Tomorrow is our first and long-awaited post-war Christmas, with families reunited and new hope throughout the land. But with our gratitude for peace should come a new conception of that word, for peace on Earth has become a challenge the like of which the world has never known before. All of the nations of the Earth are seeing themselves for the first time as fellow members of the human race who must work in peace together if they are to survive their common enemies, greed and tolerance and pride. The future is squarely in our hands. May God guide us in its management and bless us not with wealth and ease, but with tolerance and wisdom. On behalf of our sponsors and those of us here in the Lux Radio Theatre, may I wish you all a truly happy Christmas and invite you to be with us again next Monday evening when the Lux Radio Theatre presents John Garfield, Eleanor Parker and Dane Clark in Pride of the Marines. This is William Keely saying good night to you from Hollywood. I'll be seeing you produced by Dory Sherry was presented through the courtesy of David O. Selznick, producer of Alfred Hitchcock's Spellbound. For its participation in American Victory, the motion picture industry has received the official thanks of the United States government in the form of a bronze plaque detailing the industry's wartime achievements. Among these achievements is the contribution of 43,000 feature films for Army and Navy Entertainment and morale. These films continue to make possible 6,000 movie shows a night, covering every region where our men in uniform are stationed. Radio 2 continues to serve as a medium of entertainment and morale and these Lux Radio Theatre plays are broadcast to our men and women overseas through cooperation with the Armed Forces Radio Service. Our music was directed by Louis Silvers and this is your announcer, John Milton Kennedy, reminding you to tune in again next Monday night to hear Pride of the Marines with John Garfield, Eleanor Parker and Dane Clark. The Sprite, Treat of the Week. Sprite Christmas Cookies, tender, full-flavored cookies made quickly and easily with new easy-mix Sprite. Keep the cookie jar full during the holidays. Remember for digestible, full-flavored foods, you need pure, bland, all-vegetable shortening at its creamy best. That's Sprite, S-P-R-Y. Be sure to listen in next Monday night to the Lux Radio Theatre presentation of Pride of the Marines with John Garfield, Eleanor Parker and Dane Clark. And why not tune in a half hour...