Sup guys, it's me. We're back and we're in my apartment here God has been a journey, hasn't it? We're six weeks. It's actually six.  Probably not but we're here. We've been here for almost seven weeks in Rockhampton and Look the first thing I'm gonna say is it's it's day-to-day. It is totally day-to-day. My mood Goes up and down. It really does The time that I struggle with and the time that I've always struggled with is the evenings You know when six or seven o'clock rolls around And I don't have anything to do and I don't have any weed to smoke and I don't want to drink alcohol God that that that three or four hour period from six to about 10 p.m. It's tough. It's really tough and Look, I'm happy to say that for the last few days I haven't drunk any alcohol, but I have to be honest and say that The only way that I've gotten through those periods with a smile on my face Whether that be genuine or not is to drink and so a lot of the time a lot of my spare time away from my YouTube channel away from my kids and You know the time that I'm spending alone is Not alone because I've got alcohol to keep me company, but it simply can't continue like that I'm not living my most optimal life and it is reducing my self-esteem when I really need to be raising it So there's a couple things that I've been doing to try and raise that self-esteem over the last Week or so the last time I saw you was after five weeks and Yeah, there's been a few positives in my life. So I'm not drinking alcohol near nearly as much as I was second thing is I'm still marijuana-free which is a Journey in the self the third thing is I had my daughter over for the first time and that's going to continue every now And then certainly not That regularly but it's gonna happen, which is you know, it's it's not easy. It's not easy looking after kids looking after little kids Entertaining them keeping them entertained, but I do my best and that's all you can do That's why I'm here in Rockhampton is to be near them. So I'm doing my best guys some days look I have to be honest I do feel I feel like a failure. I Feel like a failure of a dad. I feel like I'm not seeing them enough. I feel like Why can't you Really enjoy their company? Why can't you like I love them, but God they're three and one it is tough It's tough and sometimes I feel like I pinned my happiness on Coming here and spending time with them and at the end of the day. I mean with The way things have gone with my ex. It's made it tough. It really has it's not being as easy as what I thought and Look, I'm just working through it. These videos are for me to update you guys the ones that care about my personal life the ones that are backing me with What's happening? And I think you guys Enjoy it deserve it my YouTube channel is is my place to work through things It's my place to get things off of my chest and that's exactly what I'm doing in these week vlogs these weekly vlogs After living here in Rockhampton for almost seven weeks. So I'm happy to say that I've Been to the gym I've been to the gym twice in a row, which is something I haven't done yet So today if I go back when I go back, it'll be three times in a row That is raising myself esteem I've had Tate over like I said, that's raising myself esteem. I have been able to control my alcohol that's raising myself esteem I have I've started a diet So to speak on Saturday, so today's Tuesday.  I still eat quite a lot. My appetite is certainly up. I went to the gym. I weighed myself I'm 96 kgs Put them into perspective. I was sitting at around 87 for my show late last year So, you know, I've put on nearly 10 kg and I can certainly see it You know, I certainly don't have any abs at the moment, but that's something I'd love to get back So to raise that self-esteem even higher. I want to continue dieting down and Get some abs back man. That'll be great. So moving forward over the next few weeks I'm gonna be focusing on that in the background and Just trying to live my best life here in Rockhampton I got fucked over by the real estate agent well and truly and I still am they got back to me. They said We had a personal emergency We will provide a professional clean that was on Thursday last week. It's it's Tuesday today They still haven't said a word after they didn't reply for two more days. I Send them a text back and I said I told them the truth. I told them the truth. Where is my phone? I mean the way I was feeling there was no other option but to Tell them the truth. Okay, so I said look I'm sorry to hear that you had a personal emergency But it was absolutely horrible to walk into and even worse to have to clean it myself I felt like walking straight back out, but I couldn't because you had my security bond The place has a bad ant infestation which it does and a wasps nest that won't go away As I've already tried to do it myself So it definitely needs some sort of repellent spray done Please let me know what the go is No reply Also, the on-site managers were getting up me about the front garden that was overgrown He says he isn't paid to look after it. So I've done that myself too and that's exactly right I feel like I am alienated in this block in this unit block because the owner of the unit that I Stay in has not put The management of it with the on-site managers.  He's been doing it for 19 years.   It's not my you know, it's Look, I wasn't in the best of spirits. Anyway look, I Tried to get him on side.  I used to own a rental property like this in a complex like this and I decided to go with the on-site property managers I understand. I'm sorry, but yet, you know, I've seen him around a couple more times and I just feel like there's this This thing, you know this this tension in the air and I don't like it.  I've got no more space in my bin for anything else for the next week But it doesn't matter at least it's done. And so that's what I was meaning. So so you know what?  It's cleared He does still mow my lawn, but he was adamant. He said this about ten times in our conversation. I don't get paid for that You know, I don't get paid for that.   Just let it go. I'll sort it out Yeah, we don't get paid for that. So you better sort that out. God damn Anyways, that is what it is, mate. It is what it is So it hasn't been the most ideal introduction to this unit block, but I'm still here still haven't heard back from my real estate agent Absolutely ridiculous, but I will take I'll happily take professional clean I will happily take professional clean even though I cleaned it myself. I thought you know what do I do? I go back to them and say nah, just Just give me the money off of the rent that It would have cost or do I you know take the professional clean and just let them come in and do it And I'm gonna take it so I'm still waiting still waiting for them to come back I definitely want them to spray the place to get rid of these ants because they're coming out of like the walls man, they're coming out of cracks in the walls and I mean What can you do about that?  I don't know. There probably is I don't know I don't want to think about it So I'll leave it there It needs a good spray and needs a good clean still and I'm waiting on them to do that anyway I'm feeling good this morning. I Hope that comes through on the video. You just got to roll with the punches, man Doesn't matter where you are doesn't matter what situation you're in you just got to roll with the punches you've got to have ah You've got to have something to look towards and I'm looking towards a trip to the state still. I'm looking forward to coming to the states this year Later on in the year and attending my first NFL football game That's that's that's the thing that I've got in my head. You know what I mean? to keep me going to keep me motivated to keep me positive and Hey, you've always got to have a goal my everyday goal guys is to be in my kid's life My two kids, but you've got to have a personal goal You do and at the end of the day my goal is to fucking make it states.  Who cares? I've just got to get there You know what I mean? I just got to get there and I know that we're gonna have some fun We really are so some days I I I'm depressed Some days. I'm ecstatic that mood will you know sway to and fro throughout each and every day But that's just the way I am. So anyway, that's my update. I hope you enjoyed. Thank you one and all for the support It almost is like the Truman show and I haven't even seen the Truman show. That's a that's a movie I have to watch someone has said on multiple occasions that this is almost like the Truman show now I'm led to believe that Jim Carrey's in the Truman show He's living his life, but his life is being shown as like is there hidden cameras everywhere videoing him do people decide as As viewers of the show what he does in life like that's fucking fascinating. It really is fascinating I'm gonna have to watch it. In fact, I'm gonna watch it now So once and for all, thank you so much for the support. Thank you for watching and peace out


10 English Expressions with the word Book from EspressoEnglish.net 1. A bookworm is a person who loves reading and reads a lot. My daughter's a real bookworm. She reads at least ten books a month. 2. Hit the books. This is an informal expression, meaning to study. I have a final exam tomorrow, so I need to hit the books tonight. 3. To do something by the book means to follow the rules exactly. The new manager does everything by the book and expects all employees to do the same. 4. Take or borrow a leaf or page out of someone's book. This means to imitate another person's actions because they are successful. Jim buys his wife flowers every day. I wish my husband would take a leaf out of his book. That means I wish my husband would buy me flowers every day too. 5. Try or use every trick in the book. This means to try every clever or dishonest way to accomplish something that you want to do. The journalist tried every trick in the book to get an interview with the actress. 6. Cook the books means to record false financial information in the accounts of an organization. The company's accountant was fired for cooking the books. 7. One for the record books. Something that is one for the record books is something that sets a new record or is remarkable. My mother danced for five hours straight at the wedding. That was one for the record books. 8. An open book. If you describe a person as an open book, it means he or she is easy to understand and doesn't hide their thoughts or emotions. Everyone knows the details of Maria's personal life. She's an open book. 9. If you say someone wrote the book on a topic, it means they have very comprehensive knowledge about that area. If you're interested in an acting career, you should talk to Tom. He wrote the book on getting started in the film industry. 10. Don't judge a book by its cover, or you can't judge a book by its cover. This expression means don't form an opinion based only on external appearances. Just because my boyfriend has a lot of tattoos doesn't mean he's a troublemaker. You can't judge a book by its cover. There's a new course at Espresso English, the everyday English speaking course. Sign up at EspressoEnglish.net.


He is the founder and CEO of the mobile ad tech startup Silver Push and he will be telling us the new rules of maximizing video content monetization. Please help me welcome with a huge round of applause Mr. Hitesh Chawla. Hi guys, I am Hitesh co-founder and CEO of Silver Push. So, just to introduce Silver Push first, I'll start with brief, very quick introduction of the company. We started four, five years back in India. We are based in Gurgaon, now headquartered in Singapore, about 100 plus people based in Gurgaon and sales team spread across these different countries. We started when we launched India's first DSP when programmatic was still a very nascent concept at that time. And since then we've created products which are very innovation-led. Right now we are present in 12 countries very strong in Southeast Asia and Africa and now Middle East. We work with clients across different industries, all the top agencies and backed by some of the best investors, not just from India but international as well. Now, coming to the topic of today, contextual advertising for videos. So, we all know now users these days have become very conscious about their data being used, the way it's being used or the way it's being worried about being misused. And Facebook was under fire very recently because of the Cambridge Analytica scandal. Within a single day their market cap went down by 50 billion dollars with that scam. And they were the ones facing all the backlash from the consumers and also from the advertisers. Post that incident, 84% of people have actually become concerned about their data being misused. They have changed their behavior using the way they use internet, they decreased their social media usage. Now, this actually puts personalized advertising where a lot of user data is used. And the whole future of personalized advertising is unclear because of that. People are very angry about the data being misused and technologies like ad blocker making it hard to track via cookies, then policies like GDPR making it hard to track user data. So, in fact, the only solution or the mix, we're actually going back 20 years back or 25 years back when contextual advertising was popular. People are again talking about contextual advertising where earlier advertisers used context of blogs, context of content to advertise. For example, someone actually browsing a car reviews website might see ads for different autos. Now, all the big ad tech publications, international publications are predicting that contextual advertising is back and will be again the next big thing. So, since we've established that contextual advertising is important in the current context, but let's just see how consumption of content has changed over the years, over the years since contextual advertising came into force. Let's see just India first. India has right now 500 million internet users, which is projected to grow up to 750 million in the next two years. And this is where digital video is going. In last one year, penetration of video has increased from 40% to 54%. And when it comes to content, video is the most consumed content after images and text. And the whole concept of contextual advertising depended on text earlier. So, when people are spending time on videos and images, then how do we make contextual advertising? And since we're talking about videos, these are different ad formats which are popular in videos. And these are the ad formats people actually see. Ads which are pre-roll, mid-roll or post-roll, these are the most popular ads. Then overlay ads, companion ads. But the problem with the overlay ads, for example, is the lack of relevance. Just another day I was watching this cat video with my son, and this is the ad we saw, which is totally irrelevant from what they were watching. And this just creates frustration not just for the advertiser, but also for the users. So then we come to how to detect the context for videos and actually make it relevant for users. And for advertisers, of course. So this is where our product mirrors comes in. Quickly we'll just run the demo. Sagar, could you please play the video? Eclipsing past the current number for static pictures and text. Gradually, the WWW nowadays has started to mean worldwide webisode, further facilitated by the rapidly growing number of free content streaming providers. These free video content platforms always rely on advertisement for revenues, but advertisers have only eight seconds to get noticed, which is helped by the relevance of the in-video ads in relation to the video content. The user is interested only in content and tries to overlook the random placement of ads accompanying the video content. Thus, both the advertisers and streaming platforms are plagued by the problem of enhancing users' experience when the in-video ads are displayed. Meet Mirrors by Silverpush, an artificial intelligence-driven context detection technology to identify brand logos, faces, emotions, and objects. Mirrors uses artificial intelligence coupled with computer vision to track the context in-video content and accordingly serve in-video ads in line with the advertiser's core communication while enhancing user experience. For example, when Ronaldo scores a goal during a soccer game, our technology detects his face and the brands being endorsed by him can be present in the video ads. Now imagine content showing an interesting model of Vans' shoes. Mirrors identifies the brand logo and helps in positioning of an actionable ad, which could facilitate its purchase. Thus, Mirrors is bound to play a huge role in increasing transactions for e-commerce through these actionable in-video ads. Mirrors can also identify objects in the content and help in deployment of ads related to these objects, point being, with Mirrors, these contextual possibilities are endless. Random placement of ads in videos is not making the expected impact for the advertisers and since video is the next universal content format, the advertisement industry is facing a huge problem. After years of research and overcoming multiple technological barriers, we present Mirrors to tackle this $170-plus billion problem with artificial intelligence. Mirrors is the world's only contextual advertising platform for videos, backed with multiple patents. With people taking it to the streets for safeguarding their privacy and rights, Mirrors will ensure an ethical advertising solution. Imagine no such processions. You may say we are dreamers, but with 1,000-plus brands in 12 countries, we are not the only one. Yes, that was a quick introduction of our product. Now, just to reiterate what the product does, it actually captures whatever is there in the video in real time, everything from whether it's face, whether it's logos, whether it's objects in the screen, whether it's emotions for the actors, all of different things in the videos which are then used in real time to target with ads. Now, for the advertisers, these are the benefits. The ads are viewable. It's in-screen. It's where the actual user's attention is. They're relevant because of the context we're detecting, and the ad formats that we create are very engaging. And for publishers, it means additional ad revenue. They are still running their other formats of ads, like post-roll, mid-roll, and they get to preserve the user experience by not showing random ads. So this is what Miraz is. Basically, it's our ad tech technology combined with our detection technology, and using both of those things combined, we are actually targeting a very huge opportunity for content publishers and the whole video content industry. Thank you. Any questions? Sorry, there's no voice on the mic. I must say very impressive. Thank you. Great tech. Just wanted to understand, do we presume that the product that is shown in the show is exactly what the consumer would be keen to buy? I didn't understand that product. So you're spotting which brand or which product. So it's object identification and text reading. Right. So you read the logo and the product. Logo, faces, even face, for example, if there's a particular brand ambassador of a brand, they can target the ads with that. So let's say I'm a consumer, you know, and I'm watching a show, and that show has been monetized well through ads being, you know, brands being placed in the show. I've gone to watch the show, not necessarily the brands in the show. So you would again hit me with the same brands. As in it's like for the brands, there's an opportunity. They can create different moments in that show. It's not particularly important that that particular show where there are already ads, but it can be anything. It can not just be brands, it can be faces. It can be emotions. It can be the whole context of that particular screen. Okay. Thank you. It could be a party going on and we are showing a party ad. So it's not particularly brands there and brands again there. Thanks. Hi. I'm Nihar and I'm from Miriads. And good to know that you're also using AI for your software and the tech that you have. The only one thing that we particularly take care of is brand safety. When we do contextual advertising, which is actually something which is streamed into the content, is we totally get content that is in any way negative in nature to ensure that brands, when they do feature into the content, it is the best environment for them to be in. So what is it that you guys do to take care of brand safety? So similar thing, for example, when we work with the brand, of course we have to get their brief on what's the negative, maybe brands that they don't want to target or particular environment they don't want to target. So the negative list comes from them. And based on that, basically we create that walled garden. We don't run any of those brands ads in those particular context. So that's taken care of. Yes, absolutely. Thanks. Thank you. Okay. Fantastic. Mr. Chow, please stay with me. Before I let you go, please stay with me. I'd like to invite Mr. Karan Kumar Gupta, Managing Director of Zurgha Digital Solutions to kindly present a token of our appreciation to Mr. Chowla. Ladies and gentlemen, can we have a round of applause for Mr. Chowla? Thank you very much. Thank you, gentlemen.


From New York City, it's The Cube, covering New Relic Future Stack 2019, brought to you by New Relic. Hi, I'm Stu Miniman, and this is The Cube at New Relic Future Stack 2019 here in New York City. It's our first year of the event, but the event itself has been around for seven years, and to help us end our coverage, no better person than the founder and CEO of New Relic, and the one who's the name of the company came from Lou Cerny. Of course, Lou Cerny is an anagram for New Relic. Indeed it is. Lou, thank you so much for having The Cube at the event here, and thanks for hosting us. I'm a huge fan of The Cube, I've been watching it for a long time, and it's such a pleasure to have you guys here. Thank you for coming. All right, so Lou, you've been known, you're known as the coding CEO. I am. And you come out with the vision of making software better. It's a great goal. Give us a little bit about, as you think, kind of the state of the industry, the internet's challenged these days. It's got a fragment to do a bunch of pieces, and open source isn't what it used to be, and there's so many changes going on in the industry, just kind of macro view before we get into New Relic. Yeah, from a macro view, at New Relic, we do this for the love of software. It's not just me, it's the whole company we believe in software. We think it unquestionably is changing the world, transforming every industry. It's not enough just to build software, that's great. You have to deliver more perfect software. And that's now become almost obvious, whereas when we first started out, that was actually a bit of an evangelical sale, where we had to convince people that they needed to observe their software. Well, now it's become a must-do thing, and that's why observability has become a household term, right? Everybody recognizes that anything that runs in production in internet scale needs to be observed, needs to be measured in real time. And so that's been going on, and has become a must-do thing for our customers. And so what we're so excited about is that we're delivering the first observability platform. What do we mean by that? Well, we see with this proliferation of tools, where you might have metrics going to one place, and logs going to another place, and traces going to Zipkin, or logs going to Elasticsearch. You want it all in one place, and more important, you want it to be connected so that you can see the relationship between the application and its server infrastructure and the user experience all in one connected platform. And so that's what we're delivering with New Relic One today, that's so exciting. Yeah, so, Lou, the IT industry in general is known for its fragmentation. Yeah, it is. You know, when I want to build my application, in the old days, it was like, I talked to CIO, he's like, give me a million dollars in 18 months, and I will build you the Taj Mahal of my application, and we've got it beautifully designed and pull it out. Well, today, things are moving much faster, but I've got everything from that Taj Mahal to the Kubernetes and serverless, microservice architectures, and there's usually a lot of different teams, and a lot of different tools in there. So, how does New Relic fit across that landscape, and how are you helping to pull things together? Well, certainly the industry's moving from the monolithic application to the component-based application, often running in smaller and smaller services, usually running in something like Kubernetes or in containerized environment, and with that comes a proliferation of things to monitor, and often a proliferation of tools. We have enterprise customers that have 20, 30 different monitoring and telemetry tools, and it's not because they want it, it's because there might be one particular feature that one tool does that gives them the visibility they need, and what they want is a single platform, and what people have historically used New Relic for is dropping our agents into their application, their infrastructure, and then our agents automatically put visibility in, and then they report on the health of that system. We do that really well, but what we're announcing today is that we're opening up our platform to consume telemetry from open source agentless sources so that if you've got something like Prometheus gathering data from Kubernetes, that can go straight into New Relic and be treated as first class data so that you don't have to switch between a bunch of tools. None of our customers want that. They want it all in one place, but they need an open platform that's connected and most importantly programmable so that they can actually have one tool to see it all, and that's New Relic. You know, a lot of the logging and tracing information out there isn't agent-led, so what do you see as the future of agents and what are some of the challenges of pulling all these various data types together? Well, the most important thing for the future is that our customers have complete control in a choice. So what we see, particularly in large enterprises, is they want both. They have a portfolio of more than 1,000 applications. They want to observe them all. Most of them, they'll want to drop an agent in because they don't have time to re-instrument them. Okay, but they still need to see them. Some of them, they may want to manually instrument because they want a higher level of control or they want to adopt an open-source API like OpenTelemetry, but then if they're adopting that for some of the portfolio, when a transaction reaches across these different services, you don't want to lose visibility, so we're delivering best of both worlds. You can manually instrument what you want. You can use OpenTelemetry as parts of your environment and then you can also use our automatic instrumentation to come from our agents and our customers get to decide and that's the future. So, Lou, you laid out the case in a strong way as to why New Relic One should be the platform for the monitoring observability here. I think you undersold a little bit the NRDB piece here because when I look inside my business or I talk to customers, being able to see my data and act on my data can be challenging. You showed a demo of 10 terabytes and being able to change it in a snap. NRDB is pretty magical at some risk. Let's see if this will show up on my phone right now. Just to give you a sense of how fast NRDB is performing right now. Okay, one more time. So we've got- Hold it up a little bit and show the camera this way. So NRDB right at this moment is inserting 18 million events every second. So every second, 17.18 million piece of data coming into NRDB in real-time. And our customers are querying that in real-time. Right now at this moment, they're reading 24 billion pieces of data per second. Those pieces of data could be log messages, they could be someone pressing something on their app, could be a request going through a server. It's all in the same database. And the last one is 100 millisecond response time on those queries, which is mind-blowing for these analytics queries. Yeah, and essentially, you actually showed the press and analysts this at lunch and it was over 20 million- It was at 40 billion at that moment. And 40 billion coming out in the same response time. Absolutely. And so- 100 milliseconds is like Google good as to how fast I get a response. For this kind of data processing is mind-blowing. Now the thing that our customers need to know is that all your metrics, all your events, all your logs, all your traces going into the same database with one query language. That's so much better than going to elastic search and using its query language for logs and then using a totally different query language for getting at your metrics and then trying to stitch it all together. We put it all in not only in one cloud but in one database. That is the most powerful telemetry database in the world which is NRDB. All right, Luke, how much, give us a little bit of kind of the journey to the announcements today. Observability has been talked about in the industry for a while. VC money has been pouring into startups. There's been some acquisitions in this space already. So give us a little bit as to how we got to today. So how we got to today was when we started off as a company, we were championing the whole idea of observability, putting visibility into application code. As I said, that was a bit evangelical in the early days. People were wondering if they needed it. Now there's no question they need it. In fact, some people needed so badly they want complete control and so they're manually instrumenting. Okay, I've talked about that. Now where we see people going is now that all this telemetry data is coming ideally into one place like New Relic, our customers are saying, I need to go beyond dashboards. Dashboards are good, but often dashboards are incomplete to get the most out of the data we're collecting. And that's why we're claiming we have the first and only platform for observability with a capital P. What do I mean by that? It's only a platform if you can build software on it and New Relic One is the first software development platform for observability applications. Our customers can take all this data and build real-time applications that leverage all the value out of it. When a customer buys something online, New Relic's database could be the first piece of certainly analytics database that sees that data. So you could do an application that shows real-time sales for your business people all based on New Relic One. We can also solve all sorts of IT operations problems by building applications on this platform. And to prove it out, we're offering 12 free open source applications to anyone. They can download, they can clone them off a GitHub and push them into their New Relic account. And they can use that as inspiration to build their own applications on top of our platform. And this is the, if I understand, the first 12 and you expect both New Relic and your customers will build many more. Yes, and actually it's 13 already. So we just added another one today. Some of those have been built by our customers already. So, and we're already seeing customers deploy these applications into their New Relic One accounts in production today. It really goes back to the promise of SaaS is that when customers need something and make a change or build on it, it's not just that customer that gets, be able to leverage that, but everybody else that is on the platform can take advantage of that. And the way to think of it is, yeah, you're absolutely right. And without force.com, Salesforce is just a CRM system, right? But with force.com, companies could really build, leverage all of the data inside Salesforce. Without programmability, ServiceNow is just a ticketing system, right? But how does ServiceNow become strategic by allowing people to build applications tailored to their business? We believe the world needs an observability platform and the only one of its kind is New Relic One. All right, so Lou, sounds like this should be something that should accelerate growth for the company going forward. New Relic, I read through your last earnings report there. Sure. You're growing at 30, 35%, which is reasonable, but less than the overall cloud marketplace itself is growing. So, how come the AWS, Azure, GCP, Tailwind isn't pushing New Relic faster? Well, it is a good Tailwind for us and I can't go into too much detail. We're a public company in a quiet period, so I can't speak to specifics. What I can tell you is history has shown that people tend to adopt platforms at a certain rate. And then a few years later, they adopt the management technologies for those platforms. So, we tend to be a little bit behind the adoption of cloud and up, but then when people standardize and they go all in on it, then they really increase their investment in New Relic. And I believe things like our platform capabilities take our customers that might be spending, we have 850 plus customers that spend more than 100,000 a year with New Relic. And I believe when they start to adopt our platform and go strategic with us, many of them will be million-dollar customers and that ought to be the basis of durable growth for the company. All right, so Lou, there was some news leading up to the event, some management changes. Let you speak a little bit of that. And you've got some history with, of course, Mike was already on the board. We're so thrilled about Mike Christensen joining the company as president and COO. So, I've known Mike since 2006 when he acquired my last company, Wiley Technology, which was really the very first APM company. And Mike was the president and COO of CA, and so he had a similar role there to what he has here. And Mike is, I think, one of the most brilliant operational minds I've ever met. He's been involved with New Relic for nine years. He's been one of the first investors in the company. He's been on our board of directors. And he's always had an incredibly, a keen mind for how to think about growing our business. And I've been trying, I've been thinking for a long time on how to get him more involved as a member of the team and finally I convinced him to come join. So, Mike joined us as our president and COO. He's going to be my partner in growing the business. I think those who know me know that I love technology and products and thinking about where we are five years from now. And Mike will be my partner to help make sure we're operating the company and growing the business on a day-to-day basis. Well, Lou, you and your team helped create and democratize this wave of APM. Yes. You know, application performance management as you look at it. You know, with today we talked about microservices. You talk about the dispersed nature of everything going on. How would you reframe kind of the market today and New Relic, you know, where it needs to be today and going forward? Okay, phase one. All right, phase zero was people monitored servers back in the Stone Ages. That was like monitoring was just, does the server up or down? It doesn't have enough CPU. Yeah, like in lights. That's right. Then came APM. APM really was the precursor to observability. It was the notion that these are complex systems. They need to be observed at high granularity. So, APM kind of was, gave birth to observability. So, when New Relic first came along, we're like less democratized APM. And as observability came along, we saw this opportunity to open up the platform and now where we are, if you look at our track record, first of all, my first company created the category of APM. New Relic then democratized APM and now we're delivering the first observability platform. And I believe that the future is programmable and that New Relic is the future. All right, so, Lou, you've always been enthusiastic when it comes to the vision that you put out. But it's been noted by some of my peers that just your energy level and enthusiasm is even higher today than usual. So many things that you talked about. Some of the things that you highlight, maybe behind the scenes, or things that might get missed beyond the headlines that you'd want to share. Well, look, the idea for New Relic 1 was born two years ago. I took 12 of some of the brightest people in New Relic offsite and we fleshed out the thinking and the early prototype of what's become this. And this, I've put, this is my life's work. This company's my life's work. I believe so much in this platform. I believe in its capabilities. I'm seeing our customers ripping it out of our hands saying this is going to enable us to fully achieve our goal of complete visibility and completely tailored to the needs of our business. So why I'm so fired up and passionate is when you put your heart and soul into something that's new that no one else has done before, there's been a handful of times I've done that in my life. The first time was, became APM. The second time became New Relic. The third was when I created NRDB and now the fourth is New Relic 1. And we're just getting started. All right, well, Lou, want to let you have the final word as to what you want your customers taking away here from FutureStack 2019. You know, my belief is that the future of observability is you need a platform, that platform needs to be open, connected and programmable. We have such a beautiful, easy, it's like a Heroku-like developer experience. So within seconds you can be building an application that takes the data, the telemetry data in New Relic and turns it into actionable business insights for your company. And if you want inspiration, there's 13 applications now up on GitHub that you can install right into your New Relic account and maybe modify and tailor your needs and republish to share with our other customers. Well, Lou, I know you and your team are making sure that New Relic doesn't become a relic of the past, so thank you so much for having us here. We're always in the future. And congratulations. I look forward to watching the progress going forward. Thank you, I enjoyed it. Thank you. All right, bye-bye. And that's a wrap for theCUBE's coverage of New Relic FutureStack 2019. I'm Stu Minim. Of course, go to thecube.net for all of the coverage. Big thanks to the team here and everyone supporting and as always, thank you for watching theCUBE.


Baba Ali and who are you? I'm Graham Hefe, I'm a salesman for the company. And who are you? Eric. And you're doing smart helmets. Are you the leader in smart helmets for bicycles? We are the leader in smart helmets for bicycles. Our helmets all have great design and great innovation. So this is a smart, what's called a turn signal helmet. It's a turn signal helmet but this one has Bluetooth technology in it so that you can listen to your music and answer your phone at the same time as you are riding. There's a huge potential for this because you want to protect the bicyclists, they need to be able to be seen when they turn and everything. Sure. And the most important thing from our point of view is that for the bicycle helmets they're very good quality helmets because first and foremost helmets are there to protect the bicycle, the rider. And all our helmets meet all international standards. So you're from New Zealand right? Yes I am. And companies sell all over the world? Yes they do, we do. So and where are you from? China. China. And so the factory is very professional for helmets right? Yes it is. So how many helmets do they make? Regular bicycle helmets between 1 and 2 million per year. 1 and 2 million per year. So this is the smart line of the company. That's on regular helmets. So this is the new high-tech helmets? Yes it is. So what are we looking at here? What is this one? This is a construction helmet with many applications included. So what can it do? Well the big thing with construction helmets is that they are custom made to customers requirements. We want the customer that specifies the standards that the hard hat shell is to be made to. And then details the applications that are to be included in the helmet. So there's lights? Yes lights and gas and camera video. What is this LED doing? It's just indicating that one of the applications is working. And there's battery in there? Yes the battery is charged with a USB connection. So the company doesn't only do bicycle helmets? Also construction helmets? Yes and ski helmets and skateboard helmets. But the most popular one is bicycle helmets? Of course because the company, the business, the factory traditionally makes the bicycle helmets. So let's check one of the new models. You have a new one there right? This one has a video camera. So it's able to do a lot of what a GoPro can do but of course the aerodynamics are much more... Better? Better than a GoPro. It's like people can't even see there's a camera in here. That's right. They should be in the Tour de France. Every, they should all have one right? They should. Live streaming to the TV channel? Absolutely. Can you do this? Yep. Your engineer can do everything. Well there's very little we can't do. So it's just about the idea, putting it up and they know how to design it in. Know how to make it safe so the electronics is not adding any issue. No, no. Not taking any safety or strength away from the helmet. Is it 1080p resolution? Full HD quality? High quality. With sound? Yes. All right. That's cool. And then you have a... This is a helmet with bone technology in it. Actually if I put the microphone nearby. Yeah. Maybe basically the sound comes through bone conduction. Yes, that's correct. All right. And once again, listen to your music, answer your phone. All right. What you're writing. Cool. So there's lots of different helmets right here. This is... What is it? Is it... What technology does it have this one? This one has... You buy these as a pair and you can use them with intercom between the two helmets. There's charging with micro USB intercom. Yeah. So these two helmets you can talk to each other. The same there? Up to 500 meters apart. All right. Cool. And this is all the... Here's the information about these. So it's like construction, Bluetooth, technology... There. So this is huge potential for this, I think. How many bicyclists out in the world? There's like hundreds of millions? Hundreds of millions, yeah. And like everybody's talking about self-driving cars. Yeah. You're like in the area of bicycles. I don't think there'll ever be a self-riding bicycle. There won't be self-riding, but they need technology. Yes, they do. Yeah. And the best place to put it is in the helmet. Exactly. You can also put in a bicycle, but let's have both. That's right. All right. Cool. Okay. Thanks.


On Thursday, the U.S. overtook China as the country with the most coronavirus cases in the world, marking a new milestone in the fight against the global pandemic. Meanwhile, the Dow Industries rose more than 1,300 points, putting it 20 percent above its recent lows and back to a bull market territory, despite unemployment claims jumping to record highs last week. Welcome to the TICML Update. I'm Canada Niall, the founder of the Investiva movement. Make sure to subscribe to the TICML YouTube channel and support us by liking and sharing this video with your forex trading friends. On Friday, we'll continue to follow the coronavirus developments around the world and we'll also keep an eye on the U.S. University of Michigan sentiment. Today, I'm looking at the euro-dollar pair that has just broken above the daily Ichimoku Cloud following the strong bullish sentiment this week and with the U.S. dollar sell-off. Now, with a traditional Ichimoku signal, we would expect a bit of a pullback towards the upper-bend of the Ichimoku Cloud before rallying further up, but now is no ordinary times. So, depending on the U.S. COVID-19 conditions and the economic impact tomorrow, we could even see a reversal. Now, do you think this Ichimoku signal is a fakeout or we'll see further gains for the euro-dollar pair? Head over to the comment section and let me know. Of course, trading the financial markets involves a risk of loss and you should only trade the money that you can afford to lose. If you liked this video, give it a thumbs up and subscribe to the TICML YouTube channel. I'll get back to you with more updates next week.


The other thing that's going to help you is cut with this part of your blade, not the tip. You have much more control. The closer it is to your hand, the more control you're going to have.


I'm looking forward to joining me this morning. As I said, my name is Darren Barnes. My talk today is here to talk about a passion I have, if you will, for helping my organisation. That's the Office for National Statistics in the UK. Build better data that will support better insights, better analysis, and make our statistical data as accessible, as inclusive as it can be. The power behind our date needs to be leveraged as easy as it can be for the people and the services that want to consume it. Wrth gwylltynychwch, mae'n hi'n meddwl gwych ysgifeth ddechrau'r fforddiadau feddylu yma, ac sydd wedi'u gynnwch ddegwyd iawn i'r brwyllt llyfr. Yn y cwm Floridau, rwy'n credu cymryd perthesol yma yn y llyfr yma o'r ystod o'r ystod a chwybod yn cysylltu知ell yma eich cyfraffug sy'n mengyrsio arall. Ond gofyn amgyrchu cyfraffu bynnag, y cyfraffu cyfraffu, roeddo ddoin ni, storef amwordiant. That prepares a foundation for a better data-driven future for our organisation and users. But think about it. So, if you're building foundations, you don't just dig a hole and pour concrete into that hole, and to hope for the best that it's not going to crack and the house falls down, you need a strength in that with supporting materials. ymwneud. Yn ymlaen, mae'r syniadau am ffobl yn ymduldol yn y mediadau. Felly newydd mor hyn i ddim yn ddweud ei ddau ddaf yn fy gref i ddeithasrawu'r datblygu ac mae'n adnod ddigwydd ar我覺得, mae'n iddynt ddigwydd ar y ddweudio'r cyfeithio'r ddweudio. Y meddaith sydd wedi'u gwneud, yw'r ddweud a'i adnod y ddweudio ac yn perthun â sefydlu ychydig o ddweud cyllid ac yn gweithio hefyd cofaveidol, efall hynny ni wedi hanes ar ddeithasrawu'r ddweud. Rydym hoffodd maen nhw'n ddechrau'r derech o'ch sefydliadau, y gwerthwng o'ch ddaf, a gennym o gwybod llwyddon o'ch ddechrau'r arwain, ond mae'n oes cyd-wyadpus o'r credu arwain yma. Felly o fe wirionedd y data'r tro. Felly mae'n ddweud o'r hoffodd. Rydyn ni'n fyddwch chi'n gwerthwch o syrdi. Felly mae yma bydd y dyfodd â'r part. Rydyn ni'n ymddangos yn llyfrdd ychydig mewn bydd, ar gyfer y teimlo a'r byddau, y cultur ar y cyfnodau a'r cyfnod yw'r cyfnod ddechrau. Yn ymgyrch ymddangos ar y llyfr, a'r ddechrau yw'r ffaith yw'r cyfnod yw'r cyfnod yw'r newid ymddangos. Mae'r ddechrau yn y ffrindwyr lleigau ffyrdd yw'r cyfnod yn gweithio'r ffyrdd yma, yn ddechrau'r ffyrdd yw'r cyfnod. Mae'r rhai, ymlaen i'r argynod, y gallu gwneud ymgyrchu'r ffrindwyr, mae'r hynny'n gweithio'r ideaeth. gyda'r mynd iddo iddo. Nid yw ymweld i'n gwybod mewn fawr. Yn ddylai'r bwysig, ond mynd i'n gwybod i bwysig i gael y cyfath. Yn ymweld i'n gweithio i gael eich helpu i gael y tîm yn y gweithio better a'r gweithio i'r llei'n teimlo i'r gweithio, yn ni? A'r amser wedi'u ffluio'n gweithio, cyllid, cyllid, a'r ddweud o'i ddechrau ddechrau ar y pollwyr. Wel, mae gen i'r ddweud o'r gwaith o'r dweud. Mae'n rhaid o hwnnw o'r ffordd o gael o'r spreadsheets. A'r dailig yn ychydig yn ymdyn nhw'n fany ddim gynnig o'r ddeilig. Mae'r ddweud o'r ddweud o'r ddweud o'r ddailig o'r ddailig, ond y lable yw'r gwaith, rhaid o'u gwleidio'r dweud o'r ddailig dywed o'r ddailig, o'r ddailig o'r lable o'r ddailig o'r ddailig o'r ddailig, ond mae'n cyfnod o'r meddwl am y dyfodol gyda'r unig ar ôl yn ddigon. Rwy'n meddwl, rydych chi'n meddwl ysgrifennol yng Nghymru, ond mae'n meddwl yng Nghymru, ond mae'n meddwl ar gyfer allan y rhan. Rydyn ni'n dechrau bod, mae'r mhondol yn y ffordd o blygu mwyaf ar gyfer y ddechrau. Rydyn ni'n meddwl am ychwaneddu ac ymgyrch chi'n meddwl am gael o'r tableau. yw'r llyfr o'r llyfr o'r llyfr? Mae'n ymgyrch yn ymdwysig yn ymdill a yn y cyflwyter yw'r gwaith yw'r 2019. Is that a calendar year? Is that a financial year? I have no idea. Cos I can't see in terms of any of the current metadata that exists for it. Are the labels for the industry types? Are they the same thing? Can I compare them? Can I not? I don't know. I have to go off to somewhere else to identify where these codes have come from. So we want our suppliers to be using common labels, consistent code lists, providing the information about the attributes, the rotations in a consistent manner. This gives you opportunity for us to build relationships between the data and other datasets that exist out there. And it adds levels of confidence, right, in terms of a user can be more certain and they can appreciate what they're looking at and perhaps get data that they want much more quickly and actually see whether or not there's data that exists elsewhere that might meet the same and similar criteria. And we think that CSVW, or CSV on the web, is the kind of format of choice for us and we see that being quite a good standard for us to be able to support that change, that consistency within the organisation. I'm hoping that some of you have heard of CSVW. It is a standard for the World Wide Web Consortium. But just in case, it's not a single file format. It's made up of a sort of standard tidy CSV with a JSON file attached to it. We squeeze all that really good metadata in. And it's basically a subset of a standard document format for linked data, right? So it's JSON-LD. The standard defines and validates the structure and supports the transformation from that CSV into the JSON or RDF world. It allows fully extensible metadata and uses externally defined vocabularies. And that's really important, right? Because we want to be able to use standards across the web and not just redefining new ones all the time. So crucially, it allows us to tune everything, all the data, all the kind of code lists and things into URIs. And that basically makes out data of the API. So what does CSVW look like? Kind of on the left is the observation file. But it expects to be in a kind of tidy format. So if you use R, you might be familiar with that term tidy. But it's a rope or observation type of thing. It prefers codes rather than human readable labels. And the codes and the code lists and stars are important, right? Because we bring them in from these canonical lists, right? These external vocabularies. And it makes sure there's no ambiguity around what it is you identify. So geography code or some other kind of classification out there like the industry stuff I showed earlier on. So that helps the user that have that kind of source of truth that they need. And obviously then all these canonical lists have their own human readable formats anyway that we displayed the user on the websites. The JSON file that contains all the metadata, we've defined a kind of application profile. I must go in loud. There you go on. So yeah, we've defined a kind of application profile that we believe kind of manages all the metadata that we expect our user to be using. So in other words, we've done some user research. We found out what are the key elements of the data that you want described, right? What are the bits of information that you need that will make it easy if you interpret this data? And we've reused other standards like DCAT, SCOS, RDF, XSCOS.  So cherry picking the best of those to make sure that it's more consistent across the piece. My mouse has gone a bit nuts. OK, so it's an important part of Labour on though is the fact that all this reference data where you have a kind of... The CSVW was a precursor for us to meet our linked data ambitions. And a support barrier in this interoperability of our data with other data on the web is vital. We're trying to build a mighty knowledge graph of data, a web of data, if you like. And once we publish all our information, we make all that metadata open and publish for others to reuse as well. And that's really important, right? Because we want people to be reusing the same sets of classifications of code lists. And where we have our own, we're using other external vocabaries, we're making sure we link to those. We're making sure that they are known entities that we're using so we're not reinventing the wheel for the sake of it. One more for you. Another further rally you want. So once we've created our CSVW, we've got the JSON file, we've got the CSV. There's a tool that we're using. It's open source. It's available. It's called CSV2RDF. And it kind of adds that semantic layer to our data to provide that kind of linked data location so you can see the subject predicate and object at the bottom. So it's providing that kind of build. It's providing an easier way for our data to connect the other data on the web as well. So how are we going to make this happen? So I said earlier on, we need to support our users. Support them in a way that helps them on that path. And so my team in the ONS has created a kind of data pipeline, a system of a tooling that will help change that source data, whether it be tabular formats, whether it be through another API, through a database extract, to create that CSVW. So we're building this kind of heavy lifting equipment, if you like, in order to help move us towards structured data and metadata. And this is the project they come up with. So again, it's all open source. You can find it on GitHub. I've put links in at the end. So this CSV project is a kind of open source project available to all. It provides a kind of command line interface tool so we can turn your CSVs into that kind of five-star link format. And we get to hoping that this standards-based approach will unlock network effects, right? To accelerate that kind of data analysis and make it easier for us to collate, compare, contrast data from different sources over the web. And all our data kind of depends on these open standards. So fast forward a few years down the line, we've got all this wonderful linked open statistical data on the web, and we can offer this well-formatted data to everyone, to anybody who wants to leverage the power of all this kind of statistical data we have. Whether it be through APIs, whether it be through APIs, or data explorers, the data is there in that kind of common consistent approach or we can start training things like large language models to support even better answers. But now we have the tools, we just have to have the education and the reliance on the statisticians to help us drive this so we can build that solid foundation from which we want to build. As a publishing organisation, we have this structure and metadata means that we can automate our processes so they're repeatable, they're less manually intensive and our internal processes are much better. So we're developing other tools for this, for a new CMS, which is a kind of block-based element so that we are creating content once and we're using it through many different channels. We're also building the ability, so we're also building the capability that allows us to query the data in the repository to drive those visualisations on the tables, charts and maps and other things. We want that data to enable better storytelling features feeding social media directly and kind of reaching new audiences. More importantly, to help make our data so understandable that even the less data literate people are understanding what they're seeing. From this well-organised data we can start to derive better insights with a wide range of resources, visualise the data in so many ways that at the moment are very, very resource-intensive to attain. But of course we can still have the tabular formats but the best thing is the system is building those tabular formats for us and that introduces a consistency to those formats which allows people to be a little bit they can use that data more consistently across the piece and it meets accessibility requirements as well which is really important. Most don't want to play. Now we're CMS, we're building the queries so that we can generate these images and the best thing about having the data query to drive these data visualisations means that we can actually power them automatically so the next time we release more data these charts are being updated without any interaction or manual interventions from us. And well, it'll enable the likes of the communities out there using data because the best things to be done without a date will be done by other people, right? As my old mate Tim says, we're serendipitous, right? I think there's a few shout-outs last slide. Links of credits, we've got the CSVCube project, we've got some information about the CSVW orcs some stuff on the ONS, the CSV2RDF but a big shout-out to my team, I basically nicked all their work, I've nicked all their words, I nicked all their slides, right? Right, so I've just been lucky enough to be able to come to Argentina and talk about it. So big thanks to Ross, Rob, Andrew and Gareth and all the rest of the team obviously but is their slidesite mostly stolen. But I think that is it. So thank you very much for your time. I hope that made sense. Thank you so much, Darren. Has anyone got any questions for Darren? Great talk, thank you so much. I was curious since part of this pipeline relies on having a tidy CSV going into it, what sort of user training or outreach or coordination are you doing across your different programs in order to make that a reality? Absolutely, it's a good point. There has to be some upfront costs and that's what I was saying earlier on about changing the culture so you get away from the path of least resistance. There has to be some stuff done. What we actually find is our statisticians are using tools like Python, maybe Macros and Excel and using machines to create this data. And then they're outputting Excel spreadsheet from those machines which then we have to take away and do something with. So we're actually trying to say, look, we can bypass that step and go straight from one machine to another so we're doing at the moment part of this stuff, I think we published around about 200 odd date sets in this format that's available and built some visualisations as you saw but we're consulting with the early adopters, the ones who want to change their organisation, find out who your allies are, work with them, work through the kinks because you can't get everything right. You have to work with the stakeholders to make that work. Understand where the gaps are, understand where the pain points are, compromise, work it through, test it, rate test it, rate test it. Since so much depends on standards can you talk a little bit or give us an example of developing a standard and what that process looked like so we've had a deliberate decision not to reinvent any standard or create a new standard so we haven't had to worry too much about consulting on what that standard might look like there are lots of good standards that exist so we've done lots of user research with different data communities in the UK to understand what is that kind of information you need so is it email address title or description what's a structural metadata look like so we've gone through and then we've kind of then looked at what standards exist already so we have like Decat Catlogs, Dublin Co SCOS for hierarchies there's a specific one for statistical hierarchies called Xscos, RDF so we've pinched them all right we build on the shoulders of giants we don't want to do anything new and then we've tested that out so we've built things, we've tested it for users does it make sense, does it work and the information profile is fully extensible so you can add as much as little as you want depending on how much resource and how much information is available Thank you, very good talk Beside you being kindly and trying people to use these new incredible things did you think or do you have any law or executive order for people to start using this and start analyzing all the data set do you have something like this If there is any law or executive order to force people to start using this new standard or you just are trying to do it kindly We want to work in a collaborative way so we don't want to say here's a new standard, please work to it that's worked really well for us in the past so now we try to work on that collaborative approach we try to say you do this work is easy if we can do it slightly different then it'll make your job easier in the long run it'll actually be able to allow you to spend more time doing the analysis you want so we try and dangle some carrots out in front in order to make that work of course there's certain restrictions or freedoms within the laws because we don't want a free for all it can't be the wild west we need to have some sort of structure and things so we do that consultation and the idea of working with early adopters is that we can start showing it actually works we can start with this real evidence of how this person has done that or the benefits are, what the impacts are being and what used to said and that makes it more difficult then for other people to say oh you got it wrong we don't like this way of doing it you provide the evidence base kind of use case so we try and do it kindly among the people that are producing data that you're asking to adopt these standards are there private contractors in the mix and if so like what, no, okay this is purely for the office for national statistics so it's our internal statisticians however what we would like to see is this being a kind of I guess a catalyst within other government departments who can start using these tools that's why we've made them open source we're very interested and we have a community called the government statistical service which brings all together all the departments and produce stuff to hopefully they will be the opportunity for commercial organisations or do provide data to government to do things in analysis they may want to join that kind of approach right but let's take one bite at a time let's try to borrow the ocean all right that's what we've got time for today thank you so much Darren Barnes thank you for your questions