We're going to wait until about five after so another few minutes here and then get started. Hello. Hey, good morning. If you have any agenda items you can add them to the meeting notes as well as your name. Yeah, I didn't know it earlier I haven't joined for quite a few sessions of this I just wanted to discuss the dashboard and the activity on arm overall. It was really a more free for discussions with the group. Yeah, we missed the meeting up at cube corn and with bank holidays or other vacations it made things difficult to attend the last few calls. What may how we can go forward with the group. Yeah, I really wanted to get more interactions and contribution from more people. Open it up. Are there any walk in items right now there's way to that. Anyone else have anything. Yeah, I, I really put this as a placeholder as as tracking the other work happening on CNCFC I and looking at the respective project. Which are there I just wanted to understand a little bit on how much more work was happening and also in the tracking of what works or what doesn't work on the respective project highlighted into the CI dashboard. So it'd be good to to get your, your view or your status on that and and and see how we can move from there and I agree subsequent question you raise into how to get more participation into that activity is a very valid one too. Sounds like on specifically the CNCFC dashboard. Yeah. And do you have any knowledge of other arm CI stuff you can talk to you mean which are outside the scope of the dashboard or yeah, outside of the scope of the dashboard. Yeah, so the arm team is is still progressing work around the Kubernetes conformance testing as you know so that that's work which is progressing and there are other components of cloud native elements that our engineering team is contributing architecture support say but not so much focused on to the CI elements. So I think this page on the CI dashboard still captures the main core projects as a downstream CI for for the validation exercise of the branches you're calling from and still value in actually highlighting what passes or what doesn't pass in terms of build test and deploy on to the arm platforms that packet. All right. The tricky part is I think how to monitor when things fail whether the failure is is what the failure is attributed to whether it's particular commit so if it's an architectural issues that would need to be fixed or whether it is something else which is elsewhere in a code and we just resource after a few additional changes in a string code base right. Talk a little bit to CI dashboard initiatives that's this and I'm having some browser issues I can see is shown a little weird but you can go to Sancia.ci and do a look at it. And the current iteration is hardest talking about the test environment that projects are running in. And then you have all the different projects that are running on it. Overall right now the initiative is in a maintenance mode. We have. We had talked about the net and as part of. Maybe one of the comments that you had, what, how do we determine whether it's a. Maybe I build issue with it, maybe the environment or the upstream project is having a build problem or whatever it may be. So one of the things that we started moving towards and was the long term goal to shift everything over was integrations with the upstream project so linker D2 might be an example. So the linker D2. Is actually doing an integration. The first iteration of this. While it shows get lab what's actually happening is it's not doing a build. There's a an integration to a proxy over to whatever the projects. CI system is so linker D2 is on their own. So it's going to be here. It's actually Travis the I bring this up. And then it goes out and looks at whatever the project is doing, and then gets the status information. So rather than having everything internal, which say core DNS and a lot of them, these were built builds that are actually running the builds and creating the binaries in get lab, doing that it's pushing like external which is already done. And then what happens when you look at different architectures like if we go over and look at say arm. Then if you see here. Yeager is showing in a essentially what this could mean is Yeager doesn't have public CI builds on arm. So ideally what would happen would be to work with the projects to get public builds of all the architectures and then the different versions. So over here, those aren't familiar and Texas overriding this but it says Kubernetes underneath. So this is the stable and head of Kubernetes and testing do these work. So maybe they do public builds of arm on stable but not on head. Rather than having it all internally and redoing the build systems that are already happening, try to help projects to have more coverage on at least the stable versions of the projects and stable versions of Kubernetes that are running daily, which would include arm. That's the goal there. And then the next part which you can see all of the deploy is great but if I go over here to x86 stable, I think was. So some of these are filled. Actually, it looks like they're all filled for whatever reason. But if these pass versus the in a what this means is we have artifacts or the the binaries or containers and everything for the project are created. What we would want for the second step to work with projects would be to get them to publish the artifacts, at least on every release, ideally on when they do commit some other things. If you have the artifacts from the CI builds publicly available, then we would like to pull those down and use those artifacts for deploy the test column is for integration. So this started, as I was saying, and some of these tests and the tests, these are actually integrations into their CI systems. And towards that, and then a lot of the focus got shifted away. So, I think the next step would be to see overall interest from the projects and the value that it can bring to them and then contributions for supporting the effort to go forward. So essentially, we have a prototype and the idea of, okay, this looks like we can do it. We've started some integrations. We have that configuration, maintainable, so tough to do that. So we have the prototype for that. And if people are interested in us, and that's where we go, which would help with those false positives, believe that you're referring to. So if we're integrating externally, we'd be able to do that. And then you have this more of a health status dashboard for all the projects as a focus and integrate with all the different, whether you've published a Docker hub or somewhere else. That could be wherever and taking all the different places and aggregate and show the health of the projects. And from the arms standpoint, what that would mean is finding, encouraging and working with the projects to publish those run those, and then using some type of standards for showing the status showing the artifacts and making those as available as x86. Okay, and that's for graduated and incubating projects as you have on to this list. Graduated and incubating the only other one that we have as a subset of own app about having other dashboards to show other things, whether that's maybe sandbox projects or other projects besides the CNCF projects. And we had some initial work and there's a lot of, I guess, design around additional screens that potentially could show more projects. I take on too much though we want to keep it focused which is where we thought maybe doing the integration and then helping to help with projects to publish and use some type of standard that makes it easier to integrate and show the status. Okay, now that that sounds great actually and in your discussion with some of the projects like Diego and similar which you've shown a proof of concept on x86. Have you also discussed the arm angle with them or and if you have planning to we can we can participate in that discussion and see how to stimulate interest or how best we can we can support that. We have had a few discussions. I, before we dive in I think we need to figure out how how to get more contributing besides a small group, which is part of the things that we can take on more, but I'm happy to talk with you about some of those plans and ideas and then we can see how that could go. Okay, I would be happy to do that. I mean the ultimate goal I agree with you is to reuse or plug into more of what the upstream project is doing because that's where most value is right so the more we can go to that direction the better long term that is so if the there is a two words having a kind of status reflecting the how the upstream is and rather than rebuilding things downstream I think it's much better. Right. Ideally status, what we were envisioning, which goes back kind of to the start of this, but it would be a little bit different on the timeline, but you could see the status of all the different stages for whatever people publish whatever the projects are willing to publish. And then beyond that, if someone was interested in a certain build. You'd be able to click there and get the artifacts for that so if you said you wanted Flint a tested version of Flint day on the latest stable Kubernetes that built on arm. You could go through and have a direct link to the published artifacts and you could go through and find all of those pieces quickly and see how they fit together, including being able to retest yourself. If we're saying you're looking at something in production or here. You want to build a prototype and you want to match match those. So the long term would be a matrix of the different compatibility testing that you're seeing. And what's behind the dashboard is a API server that provides the stats via JSON. So the one potential that you could get out of this would be some type of subscription feed or whatever you want. Where you can get the compatibility testing or track the test results from common form. So it's again, what type of interest from the community and point more of the efforts have been shifted to some other initiatives. And I guess I'll mention that it's just they do have CI but where things are. The CNF conformance and then CNF test bed. So these are all telecom related CI capabilities in this and there is actually a CI system. These examples and potentially what could happen on this, which would be a relation I can relate it back to the dashboard would be having status updates for different use cases. So right now what we're looking at is individual projects and deployment. This would be more like an integration test or testing with full examples. And then the other initiative that's related would be the CNF conformance of cloud native network function conformance. So this is testing how network applications for telecom are following cloud native principles. This actually does run all of the this is is a test suite and it's running in Travis. So what's not happening or what's not here on either of these initiatives as a dashboard but theoretically you could do something similar and say we what is the status of a group of tests that you care about that may be testing a certain set. So if people are interested in dashboards outside of say that the CI system that's running a specific project, then that would be a possibility to take something like this and and build something for another project or take the idea and have it refocused. Maybe we don't care as much about build that you want to test some type of integration between projects. Okay, yeah, I have a new colleague who is on I'll try to connect him with you is going to look more into the CNF aspects where I will try to do that in the coming few weeks. Sounds good. Because shy who I had introduced before I moved company so it's, you have somebody else who is now looking into that. All right. Okay. And in terms of community do you have beyond arm do you have other interests whether from developers or companies who are willing to join contribute or how is how have you discussed that. I'm interested in the on the telecom side. So, and way, looking at contributors and testers for the conformance CNF conformance. The test bed has some folks from places like Intel and some telecoms that are trying this out which is it. It actually deploys a environment packet to run the different tests and builds out everything automatically the tool chain. And there's people that are looking at testing this on and testing this themselves with their own packet accounts and also testing it on self hosted machines within labs. There is the CNCS dashboard, whether this dashboard itself the one that CNCS CI has or the software, there's been. There's not really been much traffic and request to update anything on the dashboard lately. There was, I guess, over the last couple of months with, I think with COVID-19 and kind of turn everything else up in there. But in the last couple of months, there's been a few mentions on different slack channels or maybe someone mentioned something in a Twitter issue related to a build problem. And there will be some someone pointed something out and it's noted. So it I guess it's somewhat still seen, but we haven't been pushing to market it to see if we want to switch and go some other path, maybe to help with the false positive stuff. I think before continuing to push and say, let's use this and getting more projects, it's kind of, we need to decide if it's going to go forward. So they're going to be enough interest to help contribute or help make that happen so that we can bring it to that next stage, because right now it's in this in between with, you know, core DNS is doing builds, running the test and then building the artifacts and doing the deploys on boy, etc. And then you have some of them that are doing integrations. But they're only, we're only partway there.  And if we're going to put in that effort, and we need to make sure that community wise it's going to bring value and there's have at least some other interest of party, maybe to help in some fashion. Yeah. I agree. It makes sense. Thank you. Yeah. Does anyone else have any comments or questions are totally different. This brings up other ideas. It was on here with every talk about the play. Well, if there's no other topic. Okay. No, I don't have any additional topics there so we can, we can follow up offline. Yeah, sounds good. Native related CI would be good, but we got to get enough other groups of people interested. Yeah. Okay, thank you. Have a good day. Bye.


Yeah. Hey, Matthew, dear Lando, what matter from the Atlantic Journal Constitution? I heard, uh, I saw one interview with you, um, uh, on the, uh, well, I didn't see it because it was on the radio, but talking about you in a football camp, you went to Syracuse, grew up playing hockey, tell us about that camp and how you made your way to football. Man, it was, it was, it was crazy. So basically I came down for a Syracuse camp, you know, I wasn't being recruited at all. And, you know, my, my high school coach here in Canada, he just, he told me, he was like, man, you got talent. I think you could compete with some of the guys down in the U S. And then, you know, made a road trip with the guys, paid for a hotel for one night. Next day went into camp. And when I got into camp, I realized like, man, I'm the best tackle out there. And I may, I made the most out of it. And I got a, my first offer, my first and only offer. And then next year started for Syracuse.  I was a defenseman, but that was, that was back in my day. That was, I was like 10, nine years old. I can't escape now. I lost it. Did any of those skills transfer to football or just came naturally to you? I think, I think my balance, I think, you know, being on ice skates, you got to have a certain balance. And I think that translated into my style of playing, I'll play football. And I saw you've been playing tackle on the right and the left. They listed you as a guard. Do you think you could move inside at the national football league level? I think I could play any position on the offensive line. And if I'll do anything, they help the Falcons win games and run the ball. Thank you. Thank you. Michael Rossi. Hey, Matthew, how are you? Congratulations. Thank you. Just to be clear there. So Syracuse was your only FBS offer? Is that right? Yes, sir. Only offer, only college offer. Period. Okay. Yeah. How much of a transition do you think it would be if they moved you to guard? I think it's easier to move from outside to inside, especially when you play your whole life at tackle, moving inside, you know, you got your cushion, you got the center, you got the tackle next to you.  I think moving inside and using my, you know, athletic abilities to, you know, my training that I have, my natural strength that I have to compete with those, you know, bigger, stronger guys inside. I think it could be an advantage for me. Have you, have you worked it all like in the training process between, you know, from the end of the season, have you worked it all inside? Have you tried to simulate any of that, or will this be completely new if that happens? I played, I played the whole Senior Bowl practice at left guard. What was that like when you did that?  I think it went well. I think I was getting better as the day went on. You know, obviously the first series, the first period was an adjustment. And I feel like throughout the day I was getting better and better.  Thanks, Matt. Congratulations. All right, thank you. Hey, Matthew, nice to meet you. I wonder if the fact that you've been playing football such a relatively short amount of time makes you feel like you've got a lot of gross potential at the position. Yeah, well, I've been playing American football for four years, but I've been playing, you know, football in general for like over 10 years. It's just Canadian football.  I think everybody has room to grow. And I think, you know, I think I got a higher ceiling and I feel like we're NFL coaches. And I think my game is going to take no next step. To follow up on that senior bowl, that was one day that you spent at left guard. Yes, it was the Wednesday practice. And as that works, that means that somebody there I wanted to take a look at you. Did you have any talks by chance with the Goffins about that possibility? Can you repeat that? How did that happen? How did that, how was that suggested to you? To play guard? Yes. I just came in Wednesday morning and my coach, Ryan Mahaffy, he was assistant coach for the Green Bay Packard. He was my online coach there. And he just told me we're going to put you at guard today. And I went in and played guard that day. That's it. And did you have any conversations with the Goffins by chance about that possibility? I did. I talked to them senior bowl combine. Coach came up to my pro day. And we talked about that my versatility. And I was important to be versatile, especially in your rookie year. And I told him how open I was. And I'm an aggressive dude. I want to play physical. Whatever I've got to do to help the Falcons run the ball, I'll do it. Kind of going off of that, what were your conversations with the Falcons like? And at what point did you maybe think, oh, they might pick me or this might be a real possibility for me? I feel like after pro day, I had a really hard to hard conversation with the online coach. And I feel like it was just deeper than football. In you that I knew my playbook, I knew my assignment and all that. We just went deeper than football, talk about life, talk about my family. And that's when I really thought like, damn, Atlanta could be a possibility. What do you know about Atlanta, if anything? Well, I know about Atlanta. I know the Braves. And I hate Georgia Tech. Matthew, kind of along the lines and meeting with the Falcons. What were your burdens of getting to me with Arthur Smith and just how to say there are you to play with a guy who's an offensive line kind of guy? I love it. I love it. You know, in Syracuse, we run the ball well, and I'm entirely of wide zone and running the ball. I think that fits well with me and what I've been doing in Syracuse. And just when you turn on my film, I just want to be physical. And I feel like that's something I could do in Atlanta. You're talking about that physicality, Matthew. How much do you feel like you're talking about that connected with the Falcons? Because that's a lot of the way that they want to play. Can you repeat that?  How much do you think that appealed to Atlanta? Because that's a lot of what they want out of their offensive line. I mean, they want to top Russian teams and, you know, they just drafted a running back. And I feel like that's, I feel like they want to go into that. They want to, you know, move people around. They want to get some yards. And I feel like I'm the right person to do it, whether it's inside or outside. So thank you.  Well, beyond this. I mean, I play in the ACC. Oh, I know. You said what? It's not a natural rival for them. I know. I'm just saying, I play in the ACC and I just hate every ACC school. Simple as that. It's all good, though. Matt, you mentioned your conversation with Coach Lepford and just, you know, have deep and that they want to get to know you as a person. One thing they're looking for, you know, is really character in the locker room.  I feel like I'll bring maturity and, you know, consistency. And I feel like that's something important just coming in. Like, I know, I know it's not going to be easy. My rookie year, I know I'm going to have ups and downs, but I just want to learn from the vets, from the older guys. And I feel like I'll come in every day with that same energy to be physical, whether it's first practice or fall camp, whether it's practice 15 or fall camp, and the sun is blazing. Like, I'm going to bring that same energy and that same, you know, I don't know how to say that. Like, that same one to learn and stuff. Yeah, I just need some numbers checked out. We got you at six, five, three, 18. Is that correct?   So I'd say probably like 322. Be right. And and for my bench press, I did 29. Okay, thanks.  We had wings. How many wings can you put away? Hey, last, I think, what was it? It was like three months ago, I ate 30, but you can't tell that nobody knows. Don't write that. It's between me and you. Yeah, yeah. All right. Thank you guys.


THE PASTURE by Robert Frost readforlibrivox.org by Becky Crackle November 16th, 2006 Canal Winchester, Ohio I'm going out to clean the pasture spring. I'll only stop to rake the leaves away and wait to watch the water clear, I may. I shan't be gone long. You come, too. I'm going out to fetch the little calf that's standing by the mother. It's so young. It totters when she licks it with her tongue. I shan't be gone long. You come, too. End of THE PASTURE This recording is in the public domain. Home Burial by Robert Frost readforlibrivox.org by Becky Crackle November 16th, 2006 Canal Winchester, Ohio He saw her from the bottom of the stairs before she saw him. She was starting down, looking back over her shoulder at some fear. She took a doubtful step and then undid it to raise herself and look again. He spoke, advancing toward her. What is it you see from up there always? For I want to know. She turned and sank upon her skirts at that, and her face changed from terrified to dull. He said to gain time. What is it you see? Mounting until she cowered under him. I will find out now. You must tell me, dear. She, in her place, refused him any help with the least stiffening of her neck and silence. She let him look, sure that he wouldn't see, blind creature, and a while he didn't see. But at last he murmured, oh, and again, oh. What is it? What? She said. Just that I see. You don't, she challenged. Tell me what it is. The wonder is, I didn't see it at once. I never noticed it from here before. I must be wanted to it. That's the reason. The little graveyard where my people are. So small, the window frames the whole of it. Not so much larger than a bedroom, is it? There are three stones of slate and one of marble. Brogdon. They're in the sunlight on the side hill. We haven't to mind those. But I understand it is not the stones. But the child's mound. Don't, don't, don't, don't! She cried. She withdrew, shrinking from beneath his arm that rested on the banister and slid downstairs and turned on him with such a daunting look. He said twice over before he knew himself. Can't a man speak of his own child he's lost? Not you! Oh, where's my hat? Oh, I don't need it. I must get out of here. I must get air. I don't know rightly whether any man can. Amy, don't go to someone else this time. Listen to me. I won't come down the stairs. He sat and fixed his chin between his fists. There's something I should like to ask you, dear. You don't know how to ask it. Help me, then. Her fingers moved the latch for all reply. My words are nearly always an offence. I don't know how to speak of anything so as to please you. But I might be taught I should suppose. I can't say I see how. A man must partly give up being a man with women folk. We could have some arrangement by which I'd bind myself to keep hands off anything special you're a mind to name. Though I don't like such things, tweaks those that love. Two that don't love can't live together without them. But two that do can't live together with them. She moved the latch a little. Don't go. Don't carry it to someone else this time. Tell me about it if it's something human. Let me into your grief. I'm not so much unlike other folks as your standing there apart would make me out. Give me my chance.   You'd think his memory might be satisfied. There you go, sneering now. I'm not. I'm not.  I'll come down to you. God, what a woman!  You can't, because you don't know how.  I saw you from that very window there, making the gravel leap and leap in air, leap up like that, like that, and roll back down the mound beside the hole. I thought, who is that man? I didn't know you. And I crept down the stairs and up the stairs to look again and still your spain kept lifting. Then you came in. I heard your rumbling voice out in the kitchen, and I don't know why. But I went near to see with my own eyes. You could sit there with the stains on your shoes of the fresh earth from your own baby's grave, and talk about your everyday concerns. You had stood the spade up against the wall, outside there in the entry, for I saw it.  I'm cursed. God, if I don't believe I'm cursed! I can repeat the very words you were saying. Three foggy mornings and one rainy day will rot the best birch fence a man can build. Think of it. Talk like that at such a time. What had how long it takes a birch to rot, to do with what was in the darkened parlor? You couldn't care! The nearest friends can go with anyone to death. Come so far short, they might as well not try to go at all. No, from the time one is sick to death, one is alone, and he dies more alone. Friends make pretense of following to the grave. But before one is in it their minds are churned and making the best of their way back to life and living people and things they understand. But the world's evil. I won't have grief so if I can change it. Oh, I won't! I won't! There, you have said it all and you feel better. You won't go now. You're crying, close the door. The heart's gone out of it. Why keep it up? Amy, there's someone coming down the road. You! Oh, you think the talk is all! I must go, somewhere out of this house. How can I make you? If you do! She was opening the door wider. Where do you mean to go? First tell me that. I'll follow and bring you back by force. I will! End of home burial. This recording is in the public domain. The Tuft of Flowers by Robert Frost Read for LibriVox.org by Becky Crackle November 16, 2006 Canal Winchester, Ohio I went to turn the grass once after one who moated in the dew before the sun. The dew was gone that made his blade so keen before I came to view the leveled scene. I looked for him behind an aisle of trees. I listened for his wet stone on the breeze.  As all must be, I said within my heart, whether they work together or apart. But as I said it, Swift there passed me by a noiseless wing, a wildered butterfly, seeking with memories grown dim or night some resting flower of yesterday's delight. And once I marked his flight go round and round as where some flower lay withering on the ground. And then he flew as far as I could see. And then on tremulous wing came back to me. I thought of questions that have no reply and would have turned to toss the grass to dry. But he turned first and led my eye to look at a tall tuft of flowers beside a brook. A leaping tongue of bloom the scythe had spared beside a reedy brook the scythe had bared. I left my place to know them by their name, finding them butterfly weed when I came. The mower in the dew had loved them thus by leaving them to flourish, not for us, nor yet to draw one thought of ours to him, but from sheer morning gladness at the brim. The butterfly and I had lit upon nevertheless a message from the dawn that made me hear the wakening birds around and hear his long scythe whispering to the ground and feel a spirit kindred to my own so that henceforth I worked no more alone. But glad with him I worked as with his aid and weary sought at noon with him the shade. And dreaming as it were held brotherly speech with one whose thought I had not hoped to reach. Men worked together I told him from the heart whether they worked together or apart. End of the Tuft of Flowers This recording is in the public domain Mending Wall by Robert Frost readforlibrevox.org by Becky Crackle November 16, 2006 Canal Winchester, Ohio Something there is that doesn't love a wall that sends the frozen ground swell under it and spills the upper boulders in the sun and makes gaps even two can pass abreast. The work of hunters is another thing I have come after them and made repair where they have left not one stone on a stone but they would have the rabbit out of hiding to please the yelping dogs. The gaps I mean no one has seen them made or heard them made them there. I let my neighbor know beyond the hill and on a day we meet to walk the line and set the wall between us once again. We keep the wall between us as we go to each the boulders that have fallen to each and some are loaves and some are so nearly balls we have to use a spell to make them balance stay where you are until our backs are turned we wear our fingers rough with handling them oh just another kind of outdoor game one on a side it comes to little more there where it is we do not need the wall he is all pine and I am apple orchard my apple trees will never get across and eat the cones under his pines I tell him he only says good fences make good neighbors spring is the mischief in me and I wonder if I could put a notion why do they make good neighbors isn't it where there are cows but here there are no cows before I built a wall I'd asked to know what I was walling in or walling out and to whom I was like to give a fence something there is that doesn't love a wall that wants it down I could say elves to him but it's not elves exactly and I'd rather he said it for himself I see him there stone grasped firmly by the top in each hand like an old stone savage armed he moves in darkness as it seems to me not of woods only and the shade of trees he will not go behind his father's saying and he likes having thought of it so well he says again good fences make good neighbors end of mending wall this recording is in the public domain birches by Robert Frost readforlibrivox.org by Becky Crackle November 16, 2006 Canal Winchester, Ohio when I see birches bend to left and right across the lines of straight or darker trees I like to think some boys bend swinging them but swinging doesn't bend them down to stay ice storms do that often you must have seen them loaded with ice a sunny winter morning after a rain they click upon themselves as the breeze rises and turn many-colored as the stir cracks and crazes their enamel soon the sun's warmth makes them shed crystal shells shattering and avalanching on the snow crust such heaps of broken glass to sweep away you'd think the inner dome of heaven had fallen they are dragged to the withered rackened by the load and they seem not to break though once they are bowed for so long they never write themselves you may see their trunks arching in the woods years afterwards trailing their leaves on the ground like girls on hands and knees that throw their hair before them over their heads to dry in the sun but I was going to say when truth broke in with all her matter of fact about the ice storm now am I free to be poetical? I should prefer to have some boy bend them as he went out and in to fetch the cows some boy too far from town to learn baseball whose only play was what he found himself summer or winter and could play alone one by one he subdued his father's trees by riding them down over and over again until he took the stiffness out of them and not one but hung limp not one was left for him to conquer he learned all there was to learn about not launching out too soon and so not carrying the tree away clear to the ground he always kept his poise to the top branches climbing carefully with the same pains you use to fill a cup up to the brim and even above the brim then he flung outward feet first with a swish kicking his way down through the air to the ground so was I once myself a swinger of birches and so I dream of going back to be it's when I'm weary of considerations and life is too much like a pathless wood where your face burns and tickles with the cobwebs broken across it and one eye is weeping from a twigs having lashed across it open I'd like to get away from earth awhile and then come back to it and begin over in no fate willfully misunderstand me in half grant what I wish and snatch me away not to return earth's the right place for love I don't know where it's likely to go better I'd like to go by climbing a birch tree and climb black branches up a snow white trunk toward heaven till the tree could bear no more but dipped its top and set me down again that would be good both going and coming back one could do worse than be a swinger of birches this recording is in the public domain Reluctance by Robert Frost readforlibrivox.org by Becky Crackle November 16th 2006 Canal Winchester, Ohio out through the fields and the woods and over the walls I have wended I have climbed the hills of view and looked at the world and descended I have come by the highway home and lo it is ended the leaves are all dead on the ground save those that the oak is keeping to ravel them one by one and let them go scraping and creeping out over the crusted snow when others are sleeping and the dead leaves lie huddled and still longer blown hither and thither the last lone aster is gone the flowers of the witch hazel wither the heart is still aching to seek but the feet question wither when to the heart of man was it ever less than a treason to go with the drift of things to yield with a grace to reason and bow and accept the end of a love or a season and of reluctance this recording is in the public domain a late walk by Robert Frost read for LibriVox.org by Becky Crackle November 16, 2006 Canal Winchester, Ohio when I go up through the mowing field the headless aftermath smooth laid like that with the heavy dew half closes the garden path and when I come to the garden ground the whir of sober birds up from the tangle of withered weeds is sadder than any words a tree beside the wall stands bare but a leaf that lingered brown, disturbed I doubt not by my thought comes softly rattling down I end not far from my going forth by picking the faded blue of the last remaining aster flower to carry again to you this recording is in the public domain fragmentary blue by Robert Frost read for LibriVox.org by Becky Crackle November 16, 2006 Canal Winchester, Ohio why make so much of fragmentary blue in here and there a bird or butterfly or flower or wearing stone fly when heaven presents in sheets the solid hue since earth is earth perhaps not heaven as yet though some savants make earth include the sky and blue so far above us comes so high it only gives our wish for blue a wet this recording is in the public domain


T. F. N. N. headline news update. Good morning everybody. Good morning. Good afternoon. 2 p.m. Eastern time. Two hours left to go on the trading day on Tuesday and we have a mixed market so far. Dow Jones in the negative by a hundred and one points. Home Depot putting more than 80 of those negative points into that on their earnings. Home Depot down more than four 5% right now. We'll jump over to that chart in a moment. Dow Jones off a hundred trading twenty seven thousand nine thirty six Nasdaq up twenty six points trading at eighty five seventy six and the S. and P. right now negative by just one point trading at eighty one twenty bull contract up three dollars at fourteen seventy four we've got oil negative a buck eighty two quite a day to the downside fifty five dollars and twenty three cents and the dollar index right now up twenty one ticks at ninety seven eight fifteen and we're going to start it off first thing I'm going to jump over. You see the Dow getting hit off a hundred points you have the Nasdaq up twenty seven the S. and P. flat a big reason as I mentioned Home Depot here you see the points being put into the Dow on the negative side you have Home Depot eighty seven points it is accounting for in the Dow Jones industrial average beyond that you don't have any individual equity adding or subtracting more than sixteen points into that Dow jumping back to the charts we'll start it off with the Dow twenty seven thousand nine eleven right now kind of just been hanging down there since about eleven a.m. Eastern time Nasdaq one hundred little bit of a different chart we get a trade upward from about eleven a.m. of eighty three seventeen now trading eighty three fifty two S. and P. five hundred trading at thirty one twenty one actually made it up to a high of thirty one thirty two pre-market there is your crude oil chart quite a downtrend early early this morning we're trading at fifty seven nineteen you actually make it down to a low of fifty seven fifty five excuse me seventeen two dollars to the downside the price of crude there's your gold contract only up a few dollars but we were down there at fourteen sixty five for a low currently trading fourteen seventy four and the euro U. S. dollar currently trading one ten eighty two terms of other news out there in the market it is still earnings Home Depot getting hit today polls down nineteen percent now making new lows as we speak polls on with their earnings currently trading forty seven twenty two down eleven dollars and eighteen cents and to see how Home Depot has traded today spike to a low of two nineteen ninety seven initially on that earnings you got the conference call at nine a.m. Eastern time just kind of hanging down there to twenty six sixty five down more than twelve dollars on the session day to folks we got a man Dave White coming up live with a power trading hour Tom O'Brien live at three and don't forget Basil Chapman tonight at five o'clock all the info on the front page of T. F. and I will be right back


back there like, ah, bro, I wouldn't even want to say the names, but I'm just saying I was in all my nigga, like in all bro master P is the truth. Have you talked to him since then? Or you know, yeah, I talked to him a couple of times after that. Yeah, a couple of times. Yeah. Yeah, we on boss talk one on one. And then it was master P. Then I just became like, I was, I was no limit stand, bro. Really? You like Mac? I interviewed Mac. All, all of them, bro. I knew all them boys.  My mom went to the flea market, got me the no limit piece, man. I had the no limit piece. I had no limit piece. Yeah, I had no limit piece and clean flea market.  I was, I was no limit, bro. I was master P. And if you want to let me be P, I will see murder. You know what I'm saying? It wasn't going to be silk, though, because he was all beat with the rap. I know. No, no, no, no. I knew you didn't say silk, man. What's the player, bro? And I'm a man. I'm a player. Things through private story, bro. So this nickname Kino used to manage me years ago, bro. When I first, first was coming in, he used to manage me. And he from New Orleans, he actually came from a plunder KLC. Okay. You know what I'm saying? So my boy, you know, we frequent, he had a, he had a hard relationship with P and all of them. So he used to just, he used to tell me this and I was like, all right. So we in LA, we working, he took me to LA to go. This is like when I first jumped in the game, bro.  We riding with P the whole day, bro. We go to 24 hours. We go who? We go to the mall. This nigga take me to his crib. Like, man, I think the crib was in, what is it?    Bro, that was like the craziest.  Him and silk was saying they was just reminiscing.  And I was like, damn, bro, these niggas really, like they was already the ghost to me, but to actually sit there. You know, that's just like if y'all riding around reminiscing and talking about whatever, whatever. So somebody could be around y'all and they look at y'all as these high figures. And y'all just talking about y'all life, what y'all done deal? Who you gonna be to hook in?  I'm just sitting back there like, bro, I wouldn't even want to say the names, but I'm just saying I was in awe, my nigga. Like in awe, bro. Master P is the truth. Have you talked to him since then or you know? Oh, yeah. I talked to him a couple of times after that. Yeah, a couple of times. Yeah. How did that motivate you though? Because being in an environment, seeing all of that, how did that push you? And that whole truth was just surreal. That she just was, it, that just was, I don't know.   And you know, for a while, like Pete's just now getting back out there. He on social media.  Yeah. And I just remember at that time, Silk was telling him, he, Silk wanted to get back in the rap. He had went to here, did a show in Vegas and they were showing him like crazy love.  They don't want to hear you. Like, so he just was all the way off everything that had to do with that. You know what I'm saying? And this courage.  Like, you know what I'm saying? Like he was really making me feel like rep. This ain't the route to go get the real bag.  And he's just, it was foreign to me at that time, though. Like he got frequent in movies, too. And he the truth. Like, I just kill, that's all I can say when I think of masterpiece. Like masterpiece. The true masterpiece is like the blueprint to what I want to do in this rap game. I tell niggas all the time, like that's the blueprint. You know what I'm saying? Like my favorite rappers is Nas and Scarface and Jay-Z. But my favorite hustler is Master Pete. You know what I'm saying? That's the nigga. And that nigga took care of all his people, bro. Yeah. Big court came up myself. He's a friend of Master Pete, one of his best friends. And he always shouting out P or either y'all. Everybody can't be, everybody telling the truth about P man being real. We know he a hardcore business man, a real hustler. Right. We on boss talk one on one.


Live from New York, it's theCUBE. Covering AWS Summit New York 2018. Brought to you by Amazon Web Services and its ecosystem partners. Hello everyone, welcome back here live. Cube coverage in New York City for AWS Amazon Web Services Summit 2018. I'm John Furrier with Jeff Rick here at theCUBE. Our next guest is Dr. Matt Wood, General Manager of Artificial Intelligence with Amazon Web Services, Cube alumni. Been so busy for the past year. I haven't been on theCUBE in a year. Thanks for coming back. I appreciate you spending the time. So promotions keep on going on. You got now General Manager of the AI Group, AI Operations, AI Automation, Machine Learning Office. A lot of big category of new things developing in AI. You guys have really taken AI and machine learning to a whole other level. It's one of the key value propositions that you guys now have for not just a large enterprise but down to startups and developers. So congratulations and what's the update? Oh, well, the update is this morning in the keynote, I was lucky enough to introduce some new capabilities across our platform. When it comes to machine learning, our mission is that we want to be able to take machine learning and make it available to all developers. We joke internally that we just want to, we want to make machine learning boring. We want to make it vanilla. It's just, it's another tool in the tool chest of any developer and any data scientist. And we've done that, this idea of taking technology that is traditionally only within reach of a very, very small number of well-funded organizations and making it as broadly distributed as possible. We've done that pretty successfully with compute, storage and databases and analytics and data warehousing. And we want to do the exact same thing for machine learning. And to do that, we had to kind of build an entirely new stack. And we think of that stack in three different tiers. The bottom tier really for academics and researchers and data scientists, we provide a wide range of frameworks, open source programming libraries that developers and data scientists use to build neural networks and intelligent systems. They're things like TensorFlow and Apache MXNet and PyTorch. And they're really, they're very technical, but you can build arbitrarily sophisticated systems. Mostly open source too, right? Mostly open source, that's right. We contribute a lot of our work back to MXNet, but we also contribute to PyTorch and to TensorFlow. And there's big, healthy open source projects growing up around all of these popular frameworks, plus more like Keras and Gluon and Horovod and all these other things. So that's a very, very, it's a key area for researchers and academics. The next level up, we have machine learning platforms. This is for developers and data scientists who have data they see in the cloud, or that they want to move to the cloud quickly, that they want to be able to use for modeling. They want to be able to use it to build custom machine learning models. And so here we try and remove as much of the undifferentiated heavy lifting associated with doing that as possible. And this is really where SageMaker fits in. So SageMaker allows developers to quickly fill, train, optimize and host their machine learning models. And then at the top tier, we have a set of AI services which are for application developers that don't want to get into the weeds. They just want to get up and running really, really quickly. And so today we announced four new services really across those, their middle tier and their top tier. So for SageMaker, we're very pleased to introduce a new streaming data protocol which allows you to take data straight from S3 and pump it straight into your algorithm and straight onto the compute infrastructure. And what that means is you no longer have to copy data from S3 onto your compute infrastructure in order to be able to start training. You just take away that step and just stream it right on there. And it's an approach that we use inside SageMaker for a lot of our built-in algorithms. And it significantly increases the speed of the algorithm and significantly, of course, decreases the cost of running the training because you pay by the seconds. So any second you can save off, it's a cost saving for the customer. And also it helps machine learn more. That's right. Yeah, you can put more data through it, absolutely. So you're no longer constrained by the amount of disk space. You're not even constrained by the amount of memory on the instance. You can just pump terabyte after terabyte after terabyte. And we actually had another thing that I taught about in the keynote this morning, a new customer of ours, Snap, who are routinely training on over 100 terabytes of image data using SageMaker. So the ability to be able to pump in lots of data is one of the keys to building successful machine learning applications. So we brought that capability to everybody that's using TensorFlow.  What's the impact of the developer? Time, speed, money? It is the ability to be able to pump more data. It is the decrease in time it takes to start the training. But most importantly, it decreases the training time all up. So you'll see between a 10 and 25% decrease in training time. Some of these you can train more models or you can train more models in the same unit time or you can just decrease the cost. So this is a completely different way of thinking about how to train over large amounts of data. We were doing it internally and now we're making it available for everybody through SageMaker. So that's the first thing. The second thing that we're adding is the ability to be able to batch process in SageMaker. So SageMaker used to be great at real-time predictions. But there's a lot of use cases where you don't want to just make a one-off prediction. You want to predict hundreds or thousands or even millions of things all at once. So let's say you've got all of your sales information at the end of the month. You want to use that to make a forecast for the next month. You don't need to do that in real-time. You need to do it once and then place the order. And so we added batch transforms to SageMaker so you can pull in all of that data, large amounts of data, batch process it within a fully automated environment and then spin down the infrastructure and you're done. So very, very simple API. Anyone that uses a Lambda function can take advantage of this. Again, just dramatically decreasing the overhead and making it so much easier for everybody to take advantage of machine learning. And then at the top layer, we had new capabilities for our AI services. So we announced 12 new language pairs for our translation service and we announced new transcription capability which allows us to take multi-channel audio such as might be recorded here. But more commonly on contact centers, just like you have a left channel and a right channel for stereo, contact centers often record the agent and the customer on the same track. And today you can now pass that through our transcribe service. Long form speech will split it up into the channels automatically, transcribe it, will analyze all the timestamps and create just a single script. And from there, you can see what was being talked about. You can check the topics automatically using Comprehend or you can check the compliance. Did the agents say the words that they have to say for compliance reasons at some point during the conversation? So that's a material new capability for a transcribe. What's the top services being used? Obviously Comprehend, transcribe, and a variety of others. You guys have put a lot of stuff out there. All kinds of stuff. What's the top sellers top usage as a proxy for uptake adoption? Yeah, I think we see a ton of adoption across all of these areas but where a lot of the momentum is growing right now is SageMaker. So if you look at Formula One, they just chose Formula One racing. They just chose AWS and SageMaker as their machine learning platform. But National Football League, Major League Baseball today announced that they're re-upping their relationship and their strategic partnership with AWS for machine learning. So all of these groups are using the data which just streams out of these races or these games. And that can be the video or it can be the telemetry of the cars or the telemetry of the players. And they're pumping that through SageMaker to drive more engaging experiences for their viewers. So guys, hey, streaming this data, let's get this into SageMaker quickly, this cute video. Yeah, just get it all in there, all of it. Well, you know we love data, we'd love to follow up on that. So the question is, is that when will SageMaker overtake Aurora as the fastest growing product in history of Amazon? Because I predicted that re-invent that SageMaker would go on a tear. Is it looking good right now? I mean, Aurora's still on paper. You guys are saying is that the best seller? Yeah, Aurora's still the fastest growing, but SageMaker, give us some indicator. Well, I mean, we don't break out revenue but even the same excitement, I'll say this, the same excitement that I see for SageMaker now and the same opportunity and the same momentum, it really, really reminds me of AWS 10 years ago. It's the same sort of transformative democratizing approach to, which really engages builders. And I see the same level of, And the excitement at levels are super high as well. They're super high in general, there's a little hype out there, but I see the same level of enthusiasm and momentum. People are building with it basically. Absolutely. So what's this toy you have here? I know we don't have a lot of time, but you got a little problem. This is the world's first deep learning enabled wireless video camera. We call it DeepLens. We announced it and launched it at re-invent 2017. Hold it up, hold it up for the camera. I can hold it up to the camera. It's a cute little device. We modeled it after Wally, the Pixar movie. And it is a HD video camera on the front here. And in the base here, we have an incredibly powerful custom piece of machine learning hardware. So this can process over a billion machine learning operations per second. You can take the video in real time. We send it to the, it's got a GPU on board and we'll just start processing the stream in real time. So that's kind of interesting, but the real value of this and why we designed it was we wanted to try and find a way for developers to get literally hands-on with machine learning. So the way that builders are lifelong learners, right? They love to learn, they have an insatiable appetite for new information and new technologies. And the way that they learn that is they experiment. They start working and they kind of spin this flywheel where you try something out, it works, you fiddle with it, it stops working, you learn a little bit more and you want to go round and round and round. That's been tried and tested for developers for decades. The challenge with machine learning is doing that is still very, very difficult. You need labeled data, you need to understand the algorithms, it's just, it's hard to do. But with DeepLens, you can get up and running in 10 minutes. So it's connected back to the cloud, it's connected back to SageMaker. You can deploy a pre-built model down onto the device in 10 minutes to do object detection. We do some wacky visual effects with neural style transfer. We do a hot dog and no hot dog detection, of course. But the real value comes in that you can take any of those models, tear them apart inside SageMaker, start fiddling around with them and then immediately deploy them back down onto the camera. And every developer on their desk has things that they can detect. They have pens and cups and people, whatever it is. So they can very, very quickly spin this flywheel where they're experimenting, changing, succeeding, failing and just going round and round and round. So that's for developers, just target audience for this, right? Yeah, that's right. And what are some of the things that have come out of this? Have you seen any cool evolutionary demos? It has been incredibly gratifying and really humbling to see developers that have no machine learning experience. Take this out of the box and build some really wonderful projects. One really good example is exercise detection. So you know when you're doing a workout? They build a model which detects the exercise you're doing and then detects the reps of the weights that you're lifting. And we saw skeletal mapping. So you could map a person in 3D space using a simple camera. We saw security features where you could put this on your door and then it would send you a text message if it didn't recognize who was in front of the door. And we saw one which was amazing which would read books aloud to kids. So you would hold up the book and it would detect the text, extract the text, send the text to Polly and then speak aloud for the kids. So there's games, there's educational tools, there's little security gizmos. One group even trained a dog detection model which detected individual species, plugged this into an enormous power pack and took it to the local dog park so that they could test it out. So it's all of this from a cold start with no machine learning experience. You having fun? Yes, absolutely. If you can't tell, I'm super passionate about this. One of the great things about machine learning is you don't just get to work in one area. You get to work in Formula One and sports and you get to work in healthcare and you get to work in retail and developer tool. I mean, CTO's going to love this. Chief toy officers. Chief toy officers, I love it. Yes. So I got to ask you, so what's new in your world? GM of AI, Audition Intelligence. What does that mean? Just quickly explain it for our audience. Is that all the software? What specifically are you overseeing? What's your purview within the realm of AWS? Yeah, that's a totally fair question. So my purview is I run the products for deep learning, machine learning and artificial intelligence really across the AWS machine learning team. So I get it, I have a lot of fingers and a lot of pies. I get involved in the new products that we're going to go build out. I get involved in helping grow usage of existing products. I get it to do a lot of invention, spend a ton of time with customers. But overall, work with the rest of the team on setting the technical and product strategy for machine learning at AWS. But what's your top priorities this year? Adoption, uptake, new product introductions.  Well, we don't stop. We don't stop.  Any high ground that you want to take, what's the vision? I think the vision is to genuinely to continue to make it as easy as possible for developers to use machine learning. I can't overstate the importance or the challenge. So we're not at the point where you can just pull down some Python code and figure it out. We're not even, we don't have a JVM for machine learning where there's no developer tools or debuggers. There's very few visualizers. So it's still very hard if you kind of think of it in computing terms, we're still working in assembly language and machine learning. And so there's this wealth of opportunity ahead of us. And the responsibility that I feel very strongly is to be able to continually improve on that stack to continually bring new capabilities to more developers. Well, cloud has been disrupting IT operations, AI ops, they're calling it Silicon Valley and the venture circles auto ML as a term that's been kicked around auto automatic machine learning. You got to train the machines with something, data seems to be it. What strikes me about this compared to storage or compared to compute or compared to some of the core Amazon foundational products, those were just better ways to do something that already existed. This is not a better way to do something that already exists. This is a way to get the democratization at the start of the process of the application of machine learning and artificial intelligence to a plethora of applications and use cases. That is fundamentally different and just a step up in terms of the power to the hands of the people. It's something which is very far scenario which is very fast moving and very fast growing. But what's funny is it totally builds on top of the cloud. You really can't do machine learning in any meaningful production way unless you have a way that is cheap and easy to collect large amounts of data in a way which allows you to pull down high performance computation at any scale that you need it. And so through the cloud we've actually laid the foundations for machine learning going forward. And other things too coming. So you guys, sets of services, you guys announced the cloud highlights the power that it brings to these new capabilities. Absolutely, yeah. And we get to build on them at AWS and at Amazon just like our customers do. And so SageMaker runs on EC2. We wouldn't be able to do SageMaker without EC2. And in the fullness of time we see that the usage of machine learning could be as big if not bigger than the whole of the rest of AWS combined. That's our aspiration. Dr. Matt Wood, I wish we had more time to chat. Love talking with you. I'd love to do a whole another segment on what you're doing with customers. I know you guys are very customer focused as Andy always mentions when on the cube you guys listen to customers, want to hear that. Maybe reinvent, we'll circle back. Sounds good. Congratulations on your success. Great to see you. Appreciate it, thanks Tom. Dr. Matt Wood here in the cube. We're streaming all this data out to the Amazon cloud as we host all of our stuff. Of course it's theCUBE bringing you live action here in New York City for cube coverage of AWS Summit 2018 in Manhattan. We'll be back with more after this short break.


We have to be happy with sitting at 16-3 records so far this summer. That's the situation, Nate Blumhagen and his Bemidji Centaur squad have put themselves in. A lot of road games, though, mostly this summer, mostly in central Minnesota, even played in the golfer classic in Lakeville, one of Minnesota's premier legion tournaments. The roster consists mostly of the high school team, but a big contributor comes out of town from Bagley, Minnesota Crooks and Recruit Ben Tomah, especially good last night. A three-hit shutout, fanning 10 and also getting some help behind him. It's the story of the year for Ben. I mean, that's what he's done every time he's stepped on the mound. He's been real efficient. He's matched his pitches. I mean, he was great tonight. You know, it was huge, especially being the leadoff guy of the inning. Anytime you can get a guy to second base to lead off an inning, your chances of scoring are really, really high. So to equalize that right away, you know, took a lot of pressure off us and, you know, let Ben just do his thing and get out of the inning. If you've enjoyed this segment of Lakeland News, please consider making a tax-deductible contribution to Lakeland Public Television.