So, um, title of the presentation that I'll be listening to at this session is called is, is, um, students stand at the door exploring views on professionalism in midwifery, um, spaces. We have two presenters, Moira, Louis and Tom McEwen. I'm going to introduce, um, the two of them to us very quickly. Dr. Moira, Louis is a physician who has worked in universities in Australia, in Sweden, and the UK within joint roles. She started her training as a clinic in clinical medicine as a consultant endocrinologist. Moira is a fellow of the Royal Australasian College of Physicians, as well as the Royal College of Physicians in the UK. In 2009, Moira joined the University of the West of Scotland as a senior lecturer supporting innovation in learning and teaching. She was awarded a personal professorship in 2010. Please join me to welcome Moira. Our second presenter is Tom McEwen. Tom is a midwife and has been practicing as a team midwife, delivering case load based care. He is a senior charge midwife within a neonatal unit and an advanced neonatal nurse practitioner. Tom is currently the head of program for the women's children, young people and family team within NHS education for Scotland, and he has been a midwife since 1999. Tom is an honorary advanced neonatal nurse practitioner within NHS Greater Glasgow and Clyde. He is undertaking clinical teaching around newborn examination. He is a board member for the Scottish court debt trust and he has published in numerous peer-reviewed journals and written textbooks, midwifery textbooks as well, including physiology in child bearing, which he wrote with his mentor and friend, Professor Jean Rankin. Tom, you're welcome. So, I will now hand over to Tom and Moira for their presentation. Thank you very much, editorial and a very happy International Day of the Midwife. To everyone who is joining us, Moira and I are delighted to have the opportunity to share our research with you. So, really, maternity care occupies many different spaces in the public consciousness. For many, it is an essential and valued component of our UK National Health Service, but equally and more recently, it has been a subject of much criticism in the media with suggestions of a broken public service. And this has been encapsulated within several formal inquiries, notably Kirkup in 2015 and more recently, Don Ockenden's report in 2022. And this has undoubtedly impacted on the perception of professionalism, particularly in the UK maternity care context. And the notion of the grift of care and morality at all costs are being mentioned in various forum and questioning our professionalism as a community. And that professionalism is a key characteristic that we expect our students to develop throughout their program. And part of our role as educators and clinicians is to support that transition. And considering this component of their journey to become a midwife, it provided really the impetus for this research project. And we're going to present some of the components of that from the published article. So, a performance turn has emerged in qualitative inquiry. In particular, poetry has been used to explore feelings and to open inclusive spaces for health promotion, for example. And it's used as a therapeutic tool in some settings. We use poetry to help connect in the present moment and also to connect to past feelings that are evoked in that process. The changes that are taking place in midwifery today, it's our emotional having performance questioned. Those reports from government inquiries are upsetting. Public perception of midwifery as a professional group, perhaps devalued sometimes. All of this elicits emotional responses that impact on the experience of our students. For this research, in a conversation with midwifery students, we captured and performed their words as poetry. This was an immediate performance in the moment. And therefore we believe it's a novel approach. So what did we do? Well, we wanted to have a professional conversation with the selection of students and we were fortunate enough to have participation from two bachelors of science midwifery students and two masters of science midwifery students, all of which were in the final year of the program at the University of the West of Scotland. And that was important because we wanted to understand the experiences of those about to transition to become a registered midwife and make that transition in the very near future. And when we considered how best to have that conversation, we developed a range of questions, a series of questions that I asked this group and these revolved around defining professionalism had their view of professionalism changed during their time as a student. Do we need to better define professionalism? Is it adequately explored within our curriculum? And how does that transfer into practice? But the reality is that these questions, my contribution in posing these questions was very quickly overtaken by the huge amount of responses from those in that conversation was led very much by the students. And the anticipation of that conversation and to try and help, we brought a series of images that we laid out for the students to help them to consider how they might respond to these questions. But what we found is that very few of these images were selected, the conversation just developed and evolved so naturally and the students shared their experiences and these are just a couple of the images that were selected. We did audio record the conversation but in addition my role was to sit to the side of the group and transcribe in real time some of the words that were spoken. So after a conversation for about 45 minutes, I then performed those words that I had captured to everyone and I joined the circle for further discussion. The entire conversation was recorded, transcribed as short phrases with line breaks where there were natural speech pauses so it appeared as poetry on the page. Then both researchers, both Tom and I, independently read and reread the transcript, identified concepts, discussed the concepts and then connected the concepts together through a concept mapping exercise. That helped us to refine and identify the dominant themes and these have been published in the February issue of British Journal of Midwifery. So in that paper we used some of the poetry to illustrate the themes that we're going to present now. So we identified five dominant themes within that research and we're going to deal with each of these in turn and what we're going to do is for each of these we're going to show the words that were found within that conversation and also perform some of them there and give you enough time to read the slides and read that found poetry within there. And those themes surrounded midwifery spaces. They sounded the notion of bad professionalism so being able to recognize what bad look like. The notion of control which is such a fundamental component of our roles as midwives and trying to ensure that that woman has control. About we should make it more personal about how at times they felt they had to remove the personal part of themselves in order to survive and function and having to walk into that door to perform as a midwife. So some of the spaces we identified are shown here. So the space within an organization in that clinical context, the educational space within the university, a true midwifery space considering that role and also a space for reflection. In the organization you have to step into a different pair of shoes. You have to have your different hat on. In university you're told you're important. In practice you're not. Senior midwives sit. Junior midwives stand. Students stand at the door. In the midwifery space we just sit there as students and they just blank us. We don't really exist in their little chat but there are reflective spaces and this midwife says don't do that come with me. Sit on a chair and we sit and we have a full discussion about exactly what's happening. Now the notion of these spaces where as described by the student spaces that they inhabit spaces and move between during their journey to becoming a midwife. They very clearly articulated that move between the university space, that space of learning, that theory building, developing an understanding and that application into practice but they also spoke very clearly about feeling like always a midwife and considering that in all of their interactions in their social lives and social media and saw these spaces as ever interconnected. And in stepping into the space of an organization students often felt bringing those personal attributes but needed to leave some of that personal outside that room in order to survive, in order to function as a midwife. However they also made clear that stepping into the private sphere again those professional standards of conduct accompanied them as they moved in there. Words of power and affect people, they can be flippant, they can swear, everybody has their moments but it is unprofessional. Also unprofessional, ticking those boxes all sorted, ticking those boxes and afterwards get her up to the ward quick as possible and get the bed back. That feeling over your shoulder keeping you in check, you shouldn't have done this, you should have done that. Scared the sister's going to shut the door and tell them they've done something wrong. And that notion of being watched, being closely watched and monitored linked to that next theme of control. Sisters keep everybody safe, that's their role. Every single woman, midwives as well, but the safest thing to do can also be holding power over and some people don't feel in control unless they are controlling. You can't handle a situation like when you see something wrong. Instead of instantly reacting, take the emotion out of it, take a breath, find a way to stay calm, take the emotion out. And that final thought linked to what the students articulated having to remove the personal, which linked really well to our next theme. I thought professionalism was being strong, someone in power, but it's caring for women, doing something good for your woman. I'm allowed to be here, I'm allowed to protect this woman, allowed to have the birth that she wants. We should make it more pure personal, we are all human. As students, the further you're walking in the door, you don't have the dread, the fear, you're going to be confident, competent. When you step into being a midwife, you're going to be a mentor, an educator, you're going to be nurturing people. Can professionalism be taught? Yes, there's a professional language, professional behaviors. Can professionalism be taught? No, you can't teach compassion. It's a really powerful language that we captured in that conversation. And in terms of what we learned, we really find that despite its complexity, our educational problems often frame, and our students see professionalism as simply a list of attributes and behaviors. And as the students spoke about their experiences, they often referenced this code that would make them a professional. However, they also saw themselves as always a midwife, and that notion of moving between different spaces, most notably between university and practice, but that also mixed them with their social lives, and they're developing an understanding of professionalism from how they interact in that ever-growing social media world. But there are also tensions between these spaces, and there was a sense that familiar experiences and seeing different role models, examples of bad professionalism, that fast midwife who was focused on the tasks and not looking at women, and also a sense that midwives feel constrained and fearful by external forces, that external scrutiny when our profession is called into question, that need to practice defensively in some way limit their ability to support the needs of women in childbirth. We learned that poetry is a wonderful tool. This in-the-moment poetry helped us to uncover emotions, capture emotions. It helped us to elucidate and communicate the views of participants. We've also found poetry helpful in our discussions amongst ourselves as researchers. These students also told us that the words that I performed to them created a shared voice. They couldn't differentiate their own voice. We believe that the use of poetry in this context allows emotions to be more authentically conveyed, therefore adding to the power of the message. And we also believe that this approach will be of interest and value to those that are developing pre-registration curriculum, developing that educational framework for midwives and practising that wider community, particularly understanding this notion of spaces and ensuring that we're incorporating that into our conceptualisation and design of these programmes. And this does build on other calls for research in this area, for example from Kathleen and Rossita and more work that's required. And I think probably what's helpful is probably for us to share our reflections of using this approach. And I think for me, it did take me out of my comfort zone. It was a very new way of thinking about the world and thinking about research. But there was something about it that just resonated with the artistry and the science of midwifery and the theme of our conference today, our celebration today. And the sense that I got that we often overlook the artistry within midwifery and focus more on the science. And sometimes we feel we're being forced to focus on the science and forced to forget that actually it's relationship-based care that we are providing and looking to provide and support and nurture. And the other thing I would stop by was the power of how powerful the words were when they were put together. The findings of this research, the spoken voice of our participants conveying it within poetry and performing it back how powerful that was. And as Moira said, that single voice the students felt it presented that it was impossible for them to disentangle exactly what they said but they knew their voice was there and it was shared with the voices of the others. Moira, you're first. So I'm not a midwife and I think that not only in midwifery but across healthcare that connection between artistry and science is not always strong. I really think what I experienced here was tapping into the emotional how the students were feeling. And it was certainly an emotional experience for me when I reflected those words in the moment particularly I can sort of feel the hairs on my arms. And I have the honour of being here and sharing those voices and I feel emotional about doing that. So I mentioned that Tom and I are using this in the context of our research and we're using it in developing other research. So we've created a small group, we meet regularly, we record our discussions, and I have been performing excerpts of those research conversations back to the group at the start of the next meeting which facilitates our ongoing research development. And it's different to this to some extent but it has also been a very powerful experience and I'm very grateful for that Tom. And I think for me as well it's given me the opportunity to experience how the students felt being part of a conversation and having my words, although some of my words were captured in the poetry as I facilitated discussion, actually the dominant voice was the students. So being able to hear and participate in conversations not just about midwifery but other subjects and topics has given me a real sense of how effective this can be used as a tool to convey findings from research in a really powerful way, a power that isn't there just when you read the words, although I think and would be interested to hear your thoughts in reading the poetry, did it cause an emotional response in you as well as well as hearing it recited back. And I think in terms of our key recommendations from this study, really at the top that was this notion of spaces and it wasn't just physical spaces, it was conceptual spaces. It was a movement between thinking about midwifery, thinking about the practice, thinking about the world that they're practicing in, thinking about the world they're about to enter as a midwife. So there was lots of movement in the air and we feel that this is something it's missed within policy and in curriculum design, we're lacking that understanding of the experience of those that will be part of that educational journey or part of that process. So co-creating it to make sure it's indicated. And the other thing was that the students particularly really clearly the women was at the centre of those spaces, those spaces evolved around that notion of the women at the centre. And there also does need to be consideration of that wider cultural health care and how that influences and impacts on educational spaces and how that impacts those future role models because what students are seeing in practice, they are emulating those behaviours because if they don't understand that that might not be the type of professionalism that we want to see, it's hard for them to see that. By having a space they can think about that and conceptualise that's really important. And capturing these experiences of these students just at that threshold, at that precipice of going into register practice, we strongly believe will be helpful as we design educational programmes to ensure that students do understand professionalism from the earliest point. And we'd like to encourage the use of poetry. It certainly enabled someone who's not a midwife, me to contribute and help allow that student voice to be heard. It certainly facilitates research conversations or we've used it in that context and is a powerful medium for thematic analysis, a dissemination of findings, I hope, today. We recommend further research that explores the impact of poetry on those engaging, you know, the participants in the room, an external audience, for example. Can we use poetry in education in relation to developing professionalism and contribute to an understanding of how and why poetry taps into the emotional? So what do you think? So we'd be really interested in having some time to hopefully have a bit of discussion and if anybody's getting questions or comments, I know the auditor is there as well, but we'd be really interested in hearing, particularly if you've got any experiences of using either poetry or creative performance type methodology in research within healthcare, or whether you feel it has get value or to the contrary, if you feel it doesn't have value, but we'd be really interested to hear your thoughts, but thank you for listening. Thank you. Thank you so much, Moira and Tom for that brilliant presentation. Thank you, that was really engaging and very thought provoking as well. I think we all know that midwifery as a profession is both an art and a science, and just like what you talked about, you know, the connection between the art and science is not always strong. So thank you for using an art-based approach, you know, for your research. There were some comments as you were presenting, and some of them were just to thank you, you know, for using poetry as an approach, for your study. There was this comment about power over versus power from within, and I know you talked about it yourself in terms of okay, control doesn't have to be controlling, and we know that some people don't feel that they are in control unless they are controlling, so what are your thoughts around that comment? Yeah, that's a great comment because power is something that can be easily abused and power that can be used inappropriately, and I think what we try, and I'm speaking from the perspective of being a midwifery educator, we try to instill in our students the sense that we are there as a companion on a birth journey, we are there to support that woman in that experience, and we are not there to control that experience, or control decisions, or control the environment, or control we are there as a support, as a facilitator, as a companion, and I think that's not always what students will see in practice, and there's a disconnect there that causes attention, and students find that quite difficult and come back and tell stories, and yes, there might be situations where the midwife has to take a measure of control in an emergency, for example, and give direction, but ultimately we need to always remember that the power lies with the woman, it doesn't lie with us. And do you think students feel controlled by the more senior midwives in a way that's dominating and not necessarily helped? I think that's another key strand of it, is that they feel that their future is in the hands of someone else, that someone holds power over them, so in order to survive, it's comply with that and be subservient to that, which is an abuse of power in itself, and we are trying to support students to develop into autonomous accountable professionals in the future, and if they feel the only way that works, and they see it work, is that someone is controlling that, not just to control the midwife, but also exerting control over the woman, and that's obviously not what midwifery is about, it's about with women, it's not to be used in other ways. Thank you, thank you so much. There are some comments also, Buki is saying this is so emotional, thanks so much for your presentation. Linda asked a question, how did the students feel about being haxed to write poetry? Well, we were in control, we didn't ask the students to write, we let the students speak, and I captured their words myself in real time, fortunately I typed quite quickly, and we can compare what I captured with what they actually said on the audio recording, so I think it takes some, I guess it's some skill and some insight into what's being said, it's quite difficult to do in some ways, I think I felt quite brave doing it, and I guess that's also why I felt emotional, so you open yourself, you are vulnerable in that, so yes they didn't write, but they spoke, and I think when you listen to voices of people talking, for me it comes as poetry, so does that answer your question, Linda, I hope it does. Yeah, thank you. Joe has shared an insight into using a creative approach as well for Bachelor of Edwifery program students in their first year and third year, so I think a lot of researchers are beginning to look at this innovative approach, much more in various parts of the world, she described how they had creative freedom and they can use dance or models or books or artwork to show their insight into their midwifery journey, so thank you so much Joe for sharing that, so we talked about the fact that she loved the way of using poetry to explore experiences of students, so thank you Selling for your comments. Nikki Grace has added an insight into the presentation as well, she said it's wonderful to hear the emotional aspects of midwifery acknowledged and student perspectives highlighted, some of the findings are sad, I have used poetry as a reflective tool at workshops and I'm currently researching for a PhD in creative writing, I think what your session Mora and Tom has done is to you know spark this interest you know with people with researchers and I hope that we can also take this discussion you know beyond this session and beyond the conference, so please feel free to reach out to Tom and Mora, I think their contact details at the beginning of the of the of the slide, I can see a lot of maybe discussions going on after the conference and a lot possibly some collaborations as well, so thank you so much for all your insight, I think maybe another comment that people may want to ask also is that when you are talking about you mentioned you know the number of students that you had and if people want to ask in terms of what do you think are the maybe the pros and the cons, if you have maybe bigger number of students maybe larger participants, would that still be feasible or what are your thoughts in terms of if you have more students? I've used this in a different context to capture the voices of it was more than 12, 12 to 15 doctoral students talking about their challenges in terms of tackling methodology, epistemology, this sort of thing and I just sat at the side and captured some of what was being said and I can't present this because I did it in the moment it was sort of spontaneous and I reflected back all their all their feelings and challenges that they were having and went around the room almost pointing to them and it made us it made was a really good contact and I must say the the lecturer who'd invited me and really didn't expect that was surprised delighted and it really encouraged me I think it depends on the moment I think what is important is not to expect too much but to open yourself to the possibility and it you know it may be that it doesn't work some of the time I've been fortunate but yeah and I think just on that as well from a midwifery perspective I think there is a that midwives have got a creative soul so I think this does lend itself really nicely to to exploring views of not just midwifery students but midwives themselves I think there is there is something in there that when we started the conversation the conversation just flowed and you know what was captured and turned into poetry when you watch the students responses to hearing their words spoken back to them in captured poetry and I think it adds a level of emotion that you don't get from just reading the poetry actually having someone recite that poetry with faster pace when it's dealing with that the notion of the fast midwife and that's the cattle type beats with it and then the spaces for pause and reflection so that you can think about it as you go it was just really incredibly powerful but I think it is that that whole idea of the art and science that we're referring is just so fundamental and that it is there and you know so whether it would work in the same way with nursing students with other I don't know but as Moira illustrated you know those doctoral students thinking about philosophy epistemology it does require engagement from the individuals you're speaking to but I think them having that experience of of their voicing captured in poetry is quite incredible thank you thank you so much that's very insightful there has been a request that you should please put your details in the chat box so if you don't mind I'm doing that I'm Tom and Moira that'll be very very useful thank you Selina said Lenny comes from making connections and poetry is a royal way to do that so thank you so much for that comment


Thank you. Thank you here for the introduction and it's my pleasure to meet you all and let's just celebrate for this afternoon and with some of the good ideas and Instructions of what we have done for sustainability and for the research community So if you I just want to put a certain words and certain Criteria's of what we do and what we see in cloud native sustainability We're probably kind of using a few characters Some colors to paint the picture so I call it's MC cube not to understand nothing to confuse with MC square So for M. I mean the metrics so as we are many of you have noted for cloud native It's observability that's given us a lot of power for scheduling for scale for scaling and for a lot of our management of cost and Availability so having enough metric metrics We'll give you the insights into what we what we can do. So the metrics we build is for energy conservation So specifically we want to know how much energy consumed by a workloads Incluing in Kubernetes that means the part level how much energy used by the node and by the parts The second is when we call a correlation So having these metrics makes sense to the end user but does not make use for the end user in terms of Doing the energy conservation. So when you schedule workloads, how do you correlate with the metrics with the hardware? Characteristics such that the scheduling of the workloads will be optimized for energy consumption So after the scheduling the workloads landed on the nose is keep running for days and weeks and even for months If that is of the original assumption about the resource consumption resource assignments goes wrong How do you correct this runtime behavior? So we call this as a correction phase in this phase We use an auto scaling capabilities in the Kubernetes community as very last one once you go beyond a single cluster You want to take into account of the carbon Deltas around the world between different clusters. That's as well The multi clusters use case comes in and we want to account for the carbon intensity differences in between multiple clusters and find the best the destinations for your workloads to land on Let's come down to the projects we are trying to The problem with our projects is trying to address the projects in the problems in the cloud native Power management is that's a first of all you want to have accuracy accuracy means there are metrics We presented to you about the parts about the containers as accurate as we can see everybody will agree on the methodology I will put everybody will agree on the end results. That's the way we want to achieve The second level is the fairness as you all know that's a having something Accountable on a shared operating system. It's not so easy Right, so it's just like the same way you live in the condominiums. You pay the management fee You have to account for every of the usage by the per square feet by each of the tenants But they were shared areas in the lobby is the swimming pools. How do you account for this a shared area? So this time the fairness we want to take into account is them in the methodology So when we present the numbers, they are representing the representation We reflect them the ideas and the fairness the accuracy We want to tell the end customer the very last one is the multiple Granities are you want to present the information not every now for developers who are interested in developing Wantful applications they were focused on the process right the running process will tell lots of story about how Efficiency the application is but for the containers we are talking about the container level the power level and for deployment level There's a multiple layers of aggregations and for end users. Maybe like our system and it means they worry about the tenants The names left space level. How do you get the information from all these levels to all different personas? So we want to have all these things gets you into account in the projects when we build up the projects So for capital projects if you have already seen the projects on the names actually stands for the cap Acuberance efficiency power level exporter. It's makes sense to us as you know The NASA telescope capital is give you the insights into the Universe we want to have the insights into the universe of the Kubernetes community So the capital has three goals in mind one is the reporting as I said you want to have the capabilities to tell the Customers carry any users developers how much energy used by the parts on different levels of you know, the electronics the components CPU DRAM GPU and eventually going beyond that level to FPA and almost like a mass working it could be the next one so we also want to use the capabilities of running capital across the across the hybrid cloud environments you want We wanted to run on bare metal machines or private clouds on your data center And we also want the capital to run on hyperscalers on you see to you know, Azure and GCP on these environments most of the The runtime computation form is virtual machines So we want the model to be a port as a portable as across the different Suspections and we also support the prometheus and that's the you know, if you are going to the key nodes Prometheus becomes a loss of a loss of a you know gets a loss of love by the community So we are not supposed to promise a level X 14 If you are getting all these resources and we want to get all the details it seems like this is a very heavy task So we want to reduce the footprint of capital projects itself We do not want to consume too much resources too much CPUs too much DRAMs as a matter of facts And you know to our observation we usually stay as 2% of the CPU level and the 14 megabytes of memory So it's very less weighted We do not want to introduce our own methodology I mean we do not want to invent something that's any customers have no visibility into so we are taking two accounts of the Scientific research over the last two decades. I put over the two core code here So if you have interest you can just take a look into the research papers What's the formulas is about I just give you one examples of one of the four linear regression formulas How to take into account of the CPU usage the performance counters and imagine the CPU The power consumption by the CPUs But this is not the formula we are using as a matter of fact if you are going to the next slide So this is our architecture. So we have three layers of actually have three columns So if you come from the very end of the on the left We have the epf that's where collects the information from the universe or from the kernel level the information includes the CPU instructions this are the cycles and CPU time and also process and container correlation And we pump these informations up to the user space the user space We're guessing yet another layers of information and I like the CPU power consumption that if you are running on x86 platforms you had a rappel runtime average power level that will tell you difference domains how much electricity and much how much power consumed by each of the CPU or DRAMs and on a different time and we also collect six stats see group stats from the C groups And we also collect information from Cubilies so we put all this information together and we use the machine learning models to predict how much power used by difference, you know These are Processes and containers and parts. So that's it's our methodology. So we are not dictated. We are not dictating the eventual Model we're less the customer to build a model on your sites So that's where we are true representation of how much power used by your environment by your workloads So this is the one of the dashboards we can we are using thanks to all the community contributors from Here and we are trying to give you some intuitions how much carbon footprint this your workload will generate and I was the variations over time your workloads on difference of the components on CPU on DRAM on GPU and we also keep your certain rankings as difference on namespace level With this matrix that's our unlimited of potentials how much information you can build up for your final Visualization and we also want to introduce yet another project by Chen He has built after this one for projects called clever using the matrix And before she comes in as I want to give the your community our shutouts So over the time this property a project has been contributed by different people representing from different companies And we really appreciate their helping shaping up the projects and giving us our feedbacks and even contributing code to the projects so because we have Capler in place we can have all types of observant abilities in terms of getting the energy Related metrics including energy consumptions for different components of your Workload right including CPU memory and you can also understand What is the current frequencies of your CPU and then whether you have tuned down the frequency to save energy? So here I just want to give an example on like how we can leverage Kepler to do some optimizations on your cluster so you can both reduce your energy consumptions as well as Guarantee your performance of the workload So the question we try to answer here is when the frequency tuning knobs There's a lot of frequency tuning knobs available in the Kubernetes community And then when you increase or decrease CPU frequencies, and then how you can guarantee the performance of the workload So before that let me introduce a little bit the background about the vertical part auto-scaler on Kubernetes so the the vertical part auto-scaler on Kubernetes includes three different controllers called recommender updater and Admission controller so what it does is it try to get some usage it usage data for your workload and then try to Understand do some analysis on the usage data and try to resize your part according to your actual usage And then all our work is built upon this framework and then early last year We have contributed some feature to this VPA on Kubernetes which allows you to customize any algorithms to use VPA by Changing the recommender by your own recommender. So based on this feature what we can do is a Clever recommender so the clever recommender is trying to guarantee the whole performance of the workload when you try to reduce energy consumptions of your whole cluster by Lowering your CPU frequencies and then How do we do that? So let's assume you have something like Tuner frequency tuner to update the CPU or GPU frequencies according to any target or metric or your energy consumption budget and then we will lower down the Frequencies intuitively that your performance of the workload will decrease and then what we can do is we can obtain like the status of the workload or the cluster state of the workload the CPU frequencies from Knows where the the frequency are changed based on Kepler exported Magics and in this way we know there's something change changes in your cluster or a node your workload would be impacted then how How can we guarantee the performance when the frequency is done your performance is done Especially when it's for the computational intensive workload Then the total instructions per second you can get will be done then the recommender what the recommender does is we develop a recommender called clever and It can trigger to resize your part to either increase or decrease Accordingly to your frequency change to guarantee you get the similar performance for your workload and then When you use the clever recommender working with all other controllers in the vertical part auto-scaler The VP update or an automation controller will go ahead change resize your part to guarantee you have the same performance So the idea is like like let's take the computational intensive workload for example and they usually the the most important metric you are watching is The instructions per second and if you look at IP is formula It's related to your frequency of the CPU your allocation of the resources on CPU and something like that the average number of circles per instruction and then if you want to target the particular IP as here and then you would have a default request on that assuming you have you have the CPU in Full the maximum frequency running in the full capacity and then when you tune down the frequencies And then you will derive a current IPS and what to the clever project is doing is trying to force the IPS target equals to IPS current and then you later find out it's not related to the number of average cycles per Instruction and the the the current request that you should tune to it's only related to the maximum frequency your current frequency and your default request. So this is how clever is deriving the Targeted request value for your part to guarantee the same performance And then next I will show a simple demo on how we deploy capital in a cluster What's the capital how we deploy the capital dashboard and then we will go ahead deploy Kubernetes default vertical part auto scaler and Deploy the clever recommender run the testing workload using the default VPA together with the clever recommender to ensure the performance of the part and You can scan the barcode of those two to get the more detailed information of Kepler and clever So now we are in a Kubernetes cluster with one node and then we already pre-installed all the Premises and Grafana support What we are going to do is we first go to the Kepler project We clone the So there are a lot of documentation on how to use it. Basically, it's just one clay to install and we clone the ripple with what we are going to do next is we will Check out a stable release for Kepler project let's pick up the release 0.3 and At the same time, let's forward the part of Do the cube forward a powerful word to get to the permutus UI and Grafana UI to local host and Now we are in the permissions UI. We just Try one of the default metric To see if it's working The way we deploy Kepler is very simple. We have a YAML already available under the manifest for both Kubernetes and OpenShift and then the YAML includes all the necessary RBAC rows and service account to to create for Kepler deployment and it includes the demon side for the Kepler exporter So we go ahead to create Kepler and deploy Kepler demon side for all the nodes in the cluster and You can also check If the Kepler demon side is running Okay, now it's running Just for For exporting all the metrics to permutus we go ahead to create a Customer resource called service monitor to actually expose the Kepler endpoint to script the Kepler endpoint for all the data and That YAML also include all the RBAC rows. We need access to Permutus and you can configure the interval of the scraping In the service monitor CR as well We can double check if the service monitor resources is successfully created under the Kepler namespace and You can also check from the permutus AI whether the Kepler service Monitor endpoint is available. It takes some time for it to be up and The other way you can also check this Kepler service endpoint to get Whether it's on or not and the port number is 9102 Now we can see all the permutus is starting scraping the data from the Kepler endpoint Let's go and load the Kepler exporter dashboard and the dashboard is also available in the gate There is a folder called a Grafana dashboard. You can import it in the dashboard or you can quantify you can see the like the equivalent CO2 amount and patrolling amount of Energy consumptions for a particular part and then it also shows the energy consumptions for different components over time and then it also Accumulated the energy consumptions for different namespace of your workload So the next step is let's go ahead install the default Kubernetes vertical part auto-scaler It's just two steps. The first one is we want to clone the auto-scaler repo Okay, make sure you CD into the folder of vertical part auto-scaler and then what it takes is Using their default script which is hack VPA up then you install all the controllers for the VPA and The support of alternative Recommenders for VPA is already upstream. So anyone using the default VPA controllers can develop your own recommender can use your own recommender together with the existing VPA Okay, now all the three VPA controllers are running Then then we want to clone the project of clever clever is just rating a simple code VPA recommender rating in Python and It's less than 200 lines of code and then you can take a look and write your own recommender as well The way to deploy it is very simple. We already prepared the manifest file for that so let's go ahead clone the repo and The clever YAML includes all the necessary deployment cluster roles cluster of binding and service account and The only thing you want to configure is the involvement variable of permissive host and then let's use the default endpoint here So it will get all the necessary metrics from the from premises from also capital exporter Okay, then the clever recommender is running and Let's double-check it if it's running the same namespace as the VPA controllers Just for debugging purpose. We here open another window to show all the log messages from clever Okay, so the next step we are going to test is we want to create the workload using the all the VPA and using clever as the customized the recommender for the VPA and for any Workload so now if we go back to see the the clever dashboard and in the clever dashboard we will show like Something like what is the current frequencies of the node the maximum minimum frequencies of the node and this dashboard is also available on the clever project Ripple and you see currently we have one node the maximum frequencies is four gigahertz and the current frequency Is almost at four and the minimum frequency frequency of the CPU you can tune to is one gigahertz then let's go ahead to take a look at Sample six bunch workload we want to test it's just creating a CPU intensive workload taking the whole Try to taking the whole CPUs, but we set the request and limit for the CPU as 250 millicores So it can only use you use one quarter of the CPU and then if we go ahead created the workload We see by the way in order to use the the VPA you probably want to have more than two replicas To be running at the same time. So you don't lose the high availability of your workload and if we refresh and we the data will pop up in a minute And the second window shows the the current CPU request of the workload The third one shows the instructions per second performance metric for the workload By the way, the IPS metric is also available in Kepler So if you install Kepler, you can not only see the energy consumption metrics, but all types of performance metrics for your For your workload it is using ebp episode is very lightweight a So what we are going to do next is we will run a simple script trying to Tune the frequencies on the note to like Two gigahertz right now. It's almost a four gigahertz. We want to tune it down to the two gigahertz. So we save Like 30 to 40 percent of the energy for the note, okay, then let's watch the recommended value for the VPA we created by the way when you want to use the alternative recommender For your workload in the VP object, you can specify The name of your recommender by using recommender's keyword in your VPA YAML Now the the default Value is stood 250 let's wait a moment for Kepler to get the actual frequencies of the Now the extra frequencies are already Drops right you see the the top window the frequency drops from almost four to two gigahertz And then at the same time the IP is drops for the workload and It will take a while for the VPA to kick in and There's some log messages popping up the last message the the recommender shows is still taking Four gigahertz of the okay Now the VPA already recommend the five hundred mili cores for the workload and and We see the request value. So actually I cut off a little bit because it takes a long time like one minute for the for the power to be resized and Let's Go back a little bit to see it here You see so So actually when we tune to the frequency down The IPS drops for well, but to the VP and clever controllers kicks in to Increase the allocation of the CPU and equivalently we will keep the same IPS over time This is how clever Utilizing the Kepler metrics to Guarantee you have the same performance as well as saving some energy Okay, so looking forward we will try to enhance the whole Kepler project with some carbon footprint output we will increase Try to increase the model to be available for both physical machines and VMs and So I mean we'll handle the other Projects that are going on. Thank you. So this is my observation. So We have seen a loss of one for scaling mechanisms for performance for resource And but we have never seen something to scale for the purpose of energy conservation without disrupting your service I think this is one of the greatest achievements of what is integration. Thank you for this huge contribution So looking forward we believe capital and integrated with other ecosystems Without a matrix we can make a bigger things happen. So Going back as we said earlier we want to address a certain things in sustainability Carbon energy way water and waste. So these are the topics we believe we can make a contributions as a Team as a community. I'm not going to dictate. What is the most efficient ways? What's the best solutions? But I want to keep the questions open so for the whole community we can build up the better solutions for the better tomorrow and I want to also want to give a shout-out. So because of during the process of preparing for Cubecon and for other community-based developments, we have have a lot of inputs from The communities like a kilo. We are discussing bootstrapping mechanisms to auto scaling Based on carbon intensity and we potentially can also using the same mechanisms build up even high impacts Auto scaling mechanisms for service workloads for auto scaling So we'll take both energy and carbon into accounts so we can reduce the energy and carbon footprints with high impact workloads And that's all we have for this presentation Thank you for attending. We are like to open So thank you for the presentation and any question we do have a time for two question Yeah, please just raise your hand and I will give you the mic Thanks. This talk was great and I really love to see where this work is going Just a question on how you're sort of Thinking about energy beyond just the CPU. So like obviously, you know, if you're using a cloud provider They have to power, you know, everything in the box, right? Yeah, in some ways it can make more sense to Bin pack denser nodes because you amortize the cost of things like next Over sort of more containers, right? So how do you sort of juggle that? Yeah, so if I understand correctly, so the one question is about the The components like the CPU and the other one is like the type of workloads So just let me ask you the first question and then you can help us help me with the second question about the type of workloads So I think that you are definitely right. We are talking to CPU a lot In this presentation one of the reason is that the CPU actually accounts for 60% of the whole energy consumption of the server I mean relatively speaking because if you have a huge amounts of RAM that could the number could be a vary But a CPU is that place around that those things the other workloads is GPU We also have the GPU capabilities the metrics we can report the challenging with GPU is that's a The frequency and eventually QoS are hard to define like if CPU can define this Instruction by cycle GPU You probably have different metrics is very hard to define if we know what's the metrics we can use We can build that into a yes another exporter and the capital could provide the energy information And you probably can provide this usability metrics and we can correlate with each other and you can build up Yes, another VPA based on the new metrics and for the type of workload Now she knows much better about scheduling and scaling than I do Yes, definitely we were thinking about like why don't we just to pike all the workload on Smaller number of nodes so we can turn other nodes off to overall save energy consumptions But that doesn't work for all types of workload for certain workload like especially like a telco workload some way in the community might answer it better, but you need to keep the machine on all the time But the workload get is really fluctuating a lot And then you cannot really move because you have to have a location that there is a server there Doing the job and then in this case if we can tune down the frequency and then save overall save a lot of energy As well as guarantee the performance of the workload That helps a lot. So not all the workload can be packed or migrated in the data center case Yes, it is but in a lot of other cases is not Any other question one more? Okay, this gentleman Thank you for the awesome shirt. So I have a question regarding the Carver project. So after I change the CPU Frequency you really how long we take effect to update the resource. Yeah, that's a very good question so it takes a while in our current setting because we can look like a checking the Frequency changes only every minute to reduce the resource consumption of clever and If you want you can just increase a little bit the frequency you can tune it to 10 seconds 5 seconds whatever As I didn't need it because in our case, it's like the frequency We don't to fix it that frequently. So one minute interval would be fine, but it's configurable Okay, thank you Thank you for everyone and lots of aim for the first session in the research and academic of track 20 minutes after we will stay here for the second presentation. Thank you. Okay. Thank you


video on showing you how to underhand serve. Now, I personally don't recommend underhand serving. I believe you should go straight into overhand serving. That way you can practice it because it is a skill that needs practice. But for some of you guys who overhand serving feels like it's impossible or it's hard for you to do, you can start underhand serving just to start practicing. So the way that you underhand serve it, there are multiple ways. There is the fist and there is the open hand. Okay? Now, I, for one, underhand serve by looking straight on. I've seen some people underhand serve from coming from the side. So we're going to do different angles. So coming straight on with the open hand, we're going to just one, two, and three. Okay? We're going to try the fist coming from straight on with the fist. One, two. We're going to try coming from the side, which I've seen people come from the side. From the side, we have, show you a trick shot. It's called the jump underhand. I hope that you guys liked this video. Please like, comment, subscribe, and I will see you guys next time. What videos do you want to see next? See you next time. Keep playing.


The battery symbol is shown reducing from full to empty. At the low battery symbol, pager screen time and alert tone time are reduced and the pager will beep every hour. At the lowest power, the pager closes down and displays Replace Battery. To replace the battery, you will need a 10 or 5 cent coin to unscrew the battery hatch captive screw. Once loosened, the hatch can be slid to the side and lifted off. Note the AA battery polarities when replacing, do not reverse as this will wipe stored messages.


I do Kundalini yoga in the morning. Oh, do you with my wife? I have for 20 years, not every day, but I'd say a Third of the time and often for months on end and so and I've learned what that means So, you know when you do those yoga poses. Mm-hmm. That's not yoga That's training for yoga. It's like imagine that you go to a dance studio and they teach you moves That's not dancing Dancing is what you do on the stage after you've written your jokes and yoga is what you do with your body after you've mastered the poses Because it's all spontaneous. And so when my wife and I do Kundalini yoga in the morning It's a series of of flex of flexion exercises and breathing But mostly what it is is so maybe one is rotation of the head Like that and then but you're paying attention. It's like, okay. Oh My back hurts there. Okay. I'll move my head back and forth a little bit relax move my head relax Okay, it doesn't hurt anymore. Oh that hurts. Oh That I explore there.   Well, yoga is like that. Oh, I'm out of alignment there. Oh I'm out of alignment there. And so what you're doing and this is akin to stacking the chakras Which is the same as a musical experience is imagine that to get that process of Optimal self-revelation right You have to be aligned atoms aligned With the molecules above them the molecules Aligned in the cells the cells it aligned in the musculature the muscles aligned in the body the body aligned with the environment Broadly speaking all stacked up. That's the cosmic tree by the way That's the tree the shaman climb up and down in the psychedelic experience that cosmic tree that unites levels of being We can climb that with our consciousness. We do it all the time You know if you're writing a book you concentrate on the word or the paragraph or the whole chapter You know and when we're conversing I could concentrate on each word or the phrase or the sentence or the context Or I could look around the room up and down these levels of analysis in yoga You're trying to get your body Psychophysiologically aligned so communication between all those levels isn't interfered with unnecessarily and then that opens you up in some sense to the possibility of Speech emanating from the depths that would be one way of thinking about it one of the things that people who do kundalini talk About is that they are able to achieve psychedelic states and psychedelic states that ordinarily are achieved through drugs I have many friends who have done kundalini and for whatever reason I never have But they have said that through it with long-term commitment to practice They can achieve these bizarre states where they have hallucinations. Have you ever had that? No, but I what I would say is that the this process of alignment makes everything into The equivalent of a psychedelic experience like everything because Part of the manifestation of the truth is a consequence of the alignment of these levels It's like that's what we mean when we talk about someone having integrity or being authentic It's like they're the same all the way down and not only that they're where they are completely So not only the aligned internally They're aligned with everything that's happening around them and then and you know this perfectly.   You started this podcast just talking to people zero production value. You don't edit it You talk to people for three hours.  That's insane Yeah, and look what's happened Yeah


Hello, hi. My name is Balaji Etirajulu and I'm a Senior Director of Product Management at Ericsson. Thank you for joining us in this panel. We are really excited to talk about age-related projects and the network slicing exposure and in general different age-related use cases. Thank you very much. Hey, everyone. My name is Roman. I'm with the company called Zedeta. I'm working on the edge. I'm super excited to be here, super excited to be able to hang out with all of my good friends from LFH. So hopefully, you will like it as much as I do. Hello, everyone. Hi, everyone. Oh, go ahead. Go ahead, Tina. Hi, this is Tina. So I'm an Enterprise Architect in ARM and I drive ARM edge computing at the company level. Also, I'm the newly elected KC Chair in Acreno. I'm here to discuss with you the public cloud edge interface and is some popular end-to-end use cases and solution deployable for edge computing. Hi, everyone. Super happy to be here on this panel this morning. I'm Malini Bandaro. I'm from VMware and their open-source IoT edge lead. I work on EdgeX Foundry and in the past, I've been their security workgroup co-chair. Hey, Tina, since you mentioned Acreno, I actually had a question for you. So obviously, 5G is all the rage nowadays and I think Acreno is doing a lot of things to kind of manage the use cases for 5G. So can you maybe talk a little bit about what's the latest and greatest from Acreno on that side? Yeah, 5G is definitely the key word for Acreno. So there are many blueprints. They work on 5G and the most outstanding ones are the public cloud edge interface. As you know today, the public clouds like Microsoft Azure, we have Microsoft guys in Equinix. They joined this group to share how they think the public cloud is contributing to the 5G connectivity and the 5G telco edge total solution. And we also got the Tencent and iBaba as a public cloud and also telcos like AT&T, Channel Mobile, Channel Unicom. They are making this really the collaboration interfacing between the public cloud and also the traditional telcos. The edge is the place either the operators buy the products of telcos from public cloud or the public cloud walks to the telcos where the edge is. And the other Blueprint family called 5G Mac, Blueprint family, they are doing the 5G Mac slides B2B2C like the operators gave the 5G call to the internet company and they deployed the B2C services like cloud gaming, HD video and the live streaming. This is very successful in the deployment as the early 5G deployment. And also we don't forget enterprise applications. There's a Blueprint called OutEdge which provides the lightweight edge applications for the telco edge. And it fully complies with the AT&T Mac MP1 and MN3 and the other APIs. Thank you. This is a very good question. Yeah, that's pretty awesome. Thank you. So am I supposed to ask the next question? Yeah, I think Magni. Yeah, maybe you can ask for me. I was hoping you were sharing. She's Magni on the call. I can't hear her. Yes, she's in a call. Yeah. Would you ask the question? You cannot hear her? No. Oh, hi there. Sorry, sorry. I was on mute. Yeah. Sorry. Hi everyone. Apology with 5G being all the rage and different kinds of applications. Can you tell us something about networks slicing? What kind of use cases they support in 5G? Yeah. Thanks, Magni, for this question. I mean, this is a pretty important and interesting question as we talk about 5G and overall edge. But it's important. Before I talk about network slicing, it's very, very important to understand from the perspective of end users and also the customer's perspective. When I say customers, I mean our telco friends, telecom operators. So we need to understand what are the pain points and needs. I know how they plan to, how they are delivering the services to the enterprise users or to different verticals. So I say three big points, three pain points, and network slicing will play a role there to address those pain points. For example, today our telecom operators, it takes a long time to deliver some services. Sometimes it takes three months, but at the same time, the end users, the final customer who's consuming the service, they are looking for asking more complex services, more and more. They want more functionality. For example, the end users now as we progress in 5G, there will be a demand for very low latency related services. It could be 5 milliseconds, it could be 10 milliseconds, it could be for AR, VR, mission critical applications like healthcare, mining and manufacturing, many of these different verticals, right? They demand pretty low latency. And also the customer's expect scaling, the things have to scale, whether it's core or it is transport or at the age they have to scale. Then reliability is very key and also high availability. There are some services in IoT segment, it's ultra-reliable. They require ultra-reliability, right? Then now we know security is so important, so security is a big piece of it. So all this functionality and characteristics you need in a network to deliver those services, right? Also, don't forget about high bandwidth. Then the second one is another pain point is agility. They want to deliver the services faster in a timely market. Not only they want to deliver services faster, it helps them to grow their top line. If you delay three months or take three months to deliver service, that's a three months of revenue lost. So the agility is very key. Obviously, the cost is very important because today operators feel, look, I'm delivering all these services, my video bandwidth is going up, the data pipe is getting filled, but my revenue is not growing in parallel with that need. So the cost is very important. How do you address all of that? So that's where I say network slicing will play a major role. Now, what is network slice? Network slice is nothing but I think most of us are working in transport. We are very familiar in the IP network, right? L3 VPN, L2 VPN, right? IP MPLS networks. So it's basically a logical separation of an IP network. Just think about that. It's the same concept, but here it's applied on a whole entire 5G networks. Starting with the radio, the transport on the core. It's an end-to-end slice, basically a logical separation within a mobile network. And you can divide the mobile network in a logical manner. And then you can deliver services either to a specific vertical industry or for a specific use case. If you talk about specific, for example, you want to deliver to a manufacturing facility, right? And they can ask many different slices even for one customer. So there are several combinations of network slicing can be done. But it's very important to do that. I mean, literally you can do a network slicing on a physical network, but it's very complex. So to have a good network slice, meaning, you know, highly flexible and capable, the network has to be virtualized. A programmer should be network needs to be programmable, such as use SD and write as a control. More than all of that, you need a blue on the top, what I call orchestration. Orchestration holds the blue for everything. So you need an orchestrator and it's intent-driven, AI ML based orchestration that is required to automate the creation of this network slice, also do end-to-end lifecycle management of the network slice. So those are the key thing. Now the last point I want to tell us, technology is one thing, great, eventually we'll deliver it and people will use it. But it is very important, the organizational changes, more and more we discuss with our operator friends, they also tell us look, you know, to leverage all these new technologies, you know, it needs to match my own business goals and my strategy, right? So they are also changing their business strategy. They're looking into that. Not only the business strategy, what about my operational model? The legacy operational model will not work. So a lot of things within an organization need change to actually to leverage, to fully utilize all the new technologies, including the network slicing. Okay, that's from my side. And Roman, I think it's pretty interesting from where you come from. You are from a startup community and I do know you quite well.  And what is the role of Eve that is playing across the LFH projects, right? Also, I heard you mentioned all the time to me, hey, you know, this is Android for IoT. Can you share some, you know, some highlights? What do you mean by all of that? Yeah, absolutely. Well, I think I can talk for hours about that.  So all of this exciting, you know, talk about 5G that we've been having so far. It's important to realize that edge doesn't just mean service provider edge. And by the way, if you want to, you know, really educate yourself on how diverse and complex the edge is, I highly recommend that you download Linux Foundation Edge White Paper, you know, the Edge Taxonomy, because I think it does a really great job of sort of differentiating what kinds of, you know, types of edge you would have to deal with if you want to build a complete end-to-end solution to your customers, right? So, so far, just to give you an example, we've been talking about 5G. And 5G is definitely something that exists within the service provider edge. You know, that's the terminology that we came up with, and I actually very much like it. And Project Eve is what exists on the other end of it, right, you know, closer to the end user. And we actually do call it user edge from now on. So user edge is all of the devices that basically exist outside of data centers, right? These are the devices that can be, maybe it's a cash register in your, you know, favorite McDonald's location. Or maybe it's a small computer that's attached to a manufacturing equipment. Or maybe it's something that basically sits and measures a certain, you know, signal or certain data point from the environment. All of that is basically user edge. And just like we need tools and software platforms to make use of service provider edge, like there has to be something that, you know, supports all of the 5G service side. We actually need a very much unified platform for the user edge. And Eve, Eve, by the way, stands for edge virtualization engine. Eve tries to unify all of the complexity that exists on the user edge today. Because if you think about it, you know, user edge today is very similar, you know, in kind of how it's being developed to how, let's say, mobile computing used to be in the 90s, right? You know, because we all remember our, you know, at least I'm old enough. I remember my Ericsson phone and my Nokia phone and my Blackberry and, you know, five other different phones, you know, and all of them were incompatible. And if I liked an application on one, I couldn't use it on the other. And it was a complete mess. And it, you know, we had to wait for iOS and, you know, then Android is an open solution to emerge to basically have a tremendous acceleration of that market and essentially turning it into a complete marketplace. So Eve is trying to do to the edge computing exactly the same type of unification and, you know, turning it into a market that Android did for the mobile computing. So we would like to see Eve being used as a universal operating system on which developers can develop any kind of edge application without worrying about compatibility with a particularly embedded Linux distribution or figuring out what device driver to use. So Eve basically is trying to become that unifying abstraction layer that will separate, you know, hardware manufacturers from the software providers. And hopefully if we're lucky enough and it feels like Eve is now having a pretty significant momentum, the sheer ability to enable developers to develop for this humongous market will get us to the next level in user edge. So that's how I see it. Yes, I think this is great, Roman. I think, like, Akrena also integrated Eve into a big IoT on the smart edge blueprint family. I have another question for Malini. Hey, Malini, I see you're one of the most vocal people in Edge X Foundry. It's a few years old now. Could you share with us some adoption use cases of that? Delighted to answer that question. It is indeed a few years old, nearly four, and the focus of Edge X is just Edge. It's only dealing with connecting to southbound devices. It's able to do some local data processing through a rules engine and then export it to any cloud endpoint or even to another microservice running at the edge. So it assumes there's a, you know, container engine running at that edge. So I can think of it as a layer on top of Eve, if you will. And we have about a million downloads right now. So even if you say some of them are multiple, it's a significant number. And we have companies such as Accenture, integrating with Edge X. We have Jianxing, a company in China using it for some very novel use cases, including some robotics. We have Thundersoft, another company in China. And we have other users right here in the U.S. And one of them is Intel, who's also a major contributor that's using it for its open retail initiatives. Other than that, we have App Card, Conexus, RF Rain, that's, you know, using it to connect with RFID use cases. So we're seeing some traction. We have a vertical solutions group where these users come and present their use cases and also like what they would like to see in the next release of the system. So, yep, we're seeing some traction, definitely in the open retail initiative. We'd also like to see how maybe Edge X could be used in the telcospace and support AR, VR kind of use cases. I haven't yet seen much of that, but definitely we've seen traction. It feels like a sense of maturing and that we're doing something right there. Thank you. So wait, that's me talking. How about another question to Balaji? So Balaji, you mentioned about, you know, network slicing. Can you tell us something else about service exposure? I've heard, you know, mentioned of that, how would network slicing and service exposure work together? Yeah, thanks Malini for the, you know, very good question again. It is connected somewhat together. Let me give an example. Let me step back. In fact, it's kind of triggered my mind here because Roman mentioned about, you know, iOS and Apple and things like that. Actually, that's a good way to actually talk about this, right? Just think about it, what Android in Google by Google and iOS date for the mobile industry, right? The phone industry. And so you have this, you know, when they came up, so you're the iOS operating system on a mobile phone and then similar thing Android on the, you know, they've shared the market, right? So they could have done these two, you know, Apple and Google, they could have just created the open source Linux operating system and then left it like that. They didn't do that. They saw the business potential. What they have done is they opened up APIs and they exposed that to massive amount of developers, companies, application providers, system providers, platform providers, all kinds of people. What happened? They created the entire API economy on that. It's massive industry, right? We are all using that. We are benefitting, you know, we get benefits out of that and also the whole industry. Just think about that. An operating system in a cell phone can create such an economy, you know, by exposing API. Just think about for a minute, the entire 5G network, if we expose it, what is the benefit to the, you know, world population and the economy as a whole? So it's massive. So that's what the, you know, when I mean the service exposure, exposure can bring. Now, what's the connection between network slides? So think about this.  And then our operator creates a specific network slice for that enterprise, right? Now it's a cumbersome task in a way. We want to automate that, right? So you can expose network slice as a service to the enterprise or you can simply expose it so they can change. For example, today they are consuming the 20 millisecond characteristics in a network slice. They may say, you know what, I want to change it to 5 millisecond for 100 users, whatever, right? They could create another network slice or the existing network slice, they can change the parameters so that it is able to deliver them with enough resources for a 5 millisecond, you know, that type of a characteristics. So you want to open up. So you need to expose those services to the enterprise so they can actually leverage it. That's just one example. Now another example is SLA, service level agreements, right? Especially when you deal with verticals, this industry is very critical. I hear a lot from my enterprise friends that the penalty is pretty high for certain verticals. You have to deliver and meet those SLA's. It's very stringent SLA's. So what operators can do is they will actually, their performance data, the network data, they will expose in a way, you know, they show, hey, this is the level of services that we are delivering. So the exposure can be used, you know, many different ways. SLA is one way. Now, they can also expose to developers and then they, you know, create like a sandbox, right? Create a network slice for a bunch of developer community and they can actually create a use cases and business models out of that and you can test it like a canary deployment, right? Network slicing can play a role and then test it, see, and then if it's great, you introduce to the mass market. So there are a lot of things you can use by, you know, exposing APIs from the entire 5G network. You know, I call 5G network as an innovation platform. So that's where the exposure plays a role. Yeah, thank you. This is, I really like how you elaborate that. I'm just curious to have a question for Roman and would you tell us what's the next on the EVE roadmap? Yeah, absolutely. Right now is actually a great timing because we just released a full support for Raspberry Pi. You know, again, Raspberry Pi is a pretty good platform to try out all sorts of edge ideas. And it's interesting because this is one of the examples of how EVE helps upstream projects. So we actually did this together with Zen because, you know, EVE is based on hypervisors. So Zen is one of the hypervisors that we're using. Zen is also part of the Linux Foundation. And doing that, you know, just making Zen available in a package that is EVE on Raspberry Pi generated a tremendous amount of excitement in the developer community.  So we will definitely do more things on Raspberry Pi. So that's for sure on the roadmap. You know, we feel like we need to make sure that Raspberry Pi can be really integrated into a lot of the edge projects, right? And at least as an entry point solution, it's actually pretty good. In general, though, you know, we're trying to integrate more and more hypervisors into EVE. So if you are on the roadmap, so we had a few, you know, patches from Intel on a current hypervisor. So we feel that, you know, we need to finish that up. And hopefully, by the end of the year, we will have a full acorn support. And finally, what is super exciting to us is that we're actually doing full integration of the only Kubernetes distribution K3S that has been fully optimized for the edge deployments. So EVE is basically coming out in Q4 with full K3S integration. So these are probably the top most, you know, highlights. But if you want to check out more, just, you know, join the project, go to the wiki page, it's all out there, you know, join Slack channel, ask questions, and help us make it better. Thank you, Roman. Okay. Thank you, Roman. That was a nice explanation.  Now, what are the new things that is coming up in the roadmap? Can you enlighten us on edgex roadmap a little bit? So we're about to release our, you know, each release Hanoi. And what's coming up next is that we are looking at a v2 API. We've had a v1 API for about a year and a half. But with v2, we want to be able to specify a schema, what goes in, what comes out. So it has a more structured format. Another thing we want to support is device discovery. So let's say you have a profile for, you know, mobile phone or light bulb or something on your factory floor.  Can I report into my edge gateway? And that'll reduce the task, especially when you have lots of devices to self-register them, the discovery process. So that's the next thing coming along. And we're also very proud of the fact that this H release will have a command line interface. I mean, we're all familiar that we use kubectl and then, you know, git, et cetera. They're so useful. But edgex didn't have one, and we VMware have actively developed, designed, and we're about to deliver this. So there will be a v1 CLI and then a v2 CLI in the next releases being planned. So that's pretty much what we have right now. And our rules engine is stronger, better. Our app function SDK that's coming, you know, down the pike in its v2 version will support more end use cases, not just massaging the data, maybe compressing the data, making addition of rules and pipelines of data processing much more robust. So that's what we're having on the roadmap coming up. Thank you, Balaji, for that question. Yeah, that was an awesome answer. But since we're on this subject of great things cooking up in LF edge, I guess I also have a similar question for Tina. So Tina, anything that you could highlight for us, you know, that's super exciting, cooking up and coming down the pike in a crane? Sure. Thank you for the great questions. So Acreno has a very strong community support for the testing. There's a blue crane validation framework has all the way from the hardware operating system, virtualization and application, you can get all the automated scripts and text is a blueprint. And also there's a security check on the code like the last Venice could be edge could be hunter or the security scanning and also checking the API, whether they are conforming and in the group format from the Acreno APIs. And also there were community labs in Acreno, and we have many more user labs across the whole world. In this case, we provide fully CI CD and we provide the fully CI CD and also the the deployable and life cycle support and the life cycle support and the deployable blueprints for the end user and developers and the suppliers to use. Thank you for asking this question. Yeah, that's great. Well, I guess I think, yeah, go ahead, Roman. No, I was about to say that was a great discussion, but I guess we're running out of time, right, Balaji?  If audience, if they have any question, actually, they can put it in chat box. So we'll try to answer them. I see only Aaron Williams as provided the LFH taxonomy link. I'm looking for any other chat questions from any questions. Yeah, not yet. And we also have a Slack channel, don't we? Oh, yeah, we can even go there. Yeah. I won't be able to do it, but yeah, you guys can go there. Okay, so we may give maybe say another few seconds to see any question comes up. Still have the audience around 32 people on the call, I see. But let's see. Is Aaron's link visible to everybody on the chat?  Oh, probably not. Aaron, can you, I don't know, he's on the call, but he can actually, we can Yeah, I see they can. Malini, people can see that. Okay, awesome. Okay. Yeah, great. I think if we don't have questions then right, I think then we can close out the session and we will, we thank all the audience participants who participated and patient enough to listen to us and we really appreciate that. More than anything, let's end with like, please come and join us. We'd like more contributors, use cases and tell us what works, what doesn't work. If you have any gaps, please come and join us. Yeah, Slack channels are very friendly, you know, and would love to see you there. Okay, see you then. Thank you. Thank you. Bye. Bye. Have an awesome day.


What's going on everyone Sam here late in sports cards are doing 21 22, but maybe one-in-one basketball hobby 10 box full case break number 21 pick your team style gonna read off our list of names and teams Alex K. Pistons Andrew G. Mavs Anthony s Hawks Arthur C. Pacers boss s Clippers Bob H with the warriors Cheng s Nets Chen Kai w Blazers. Thank you Chen Kai Chin H with the spurs Christian K bulls Chun W. W. Wizards Darius M. Bucks Eric R. Cabs Heng Wai nuggets Johnny P. Kings Kumpal P. Hornets Chris L. Nicks L Yin with the Sixers mark a pelicans Matthew X a heat and sons Michael T. Jazz Peng Jinsi Timberwolves Ray Z. Raptors Ryan C. Rockets Sean M. Thunder Ship my cards a Y with the Celtics Tion key H Grizzlies Wendy J. Magic and Wenschen s with the Lakers. Good luck everybody And like that's how it goes sometimes man I've been scone too many times many of times here Yeah, there's some pretty nice stuff pull the Korean out of yummy green to five which was pretty big a couple of mangas Bunch of national prides. I pulled a national landmark already forget who it was a guy in Cameroon Let's do it box one. Good luck here guys We've got starting off for the wizards Corey Kisfer 68 out of 99. Yes Kevin ten boxes Nice one there Corey Kisfer on the rookie Then we've got a redemption Rookie dual Jersey autograph purple card number 11 Jonathan coming Nice one in there congrats warriors Golden State Bob H. Congrats Bob. Let me go just double check Bobby and One checklist anyone in one checklist purple. I want to say it's 25 Rookie dual Jersey, that's very true Micah very true Joe rookie dual Jersey Purple to 35 nice one there Congrats Bob. This is number 21 Don 21. This is the first one Nice coming guys start. Hey that congrats again warriors. There you go. No problem. No problem, Bob Yeah, that's going to the Warriors Bob's in chat. There you go, Bob We've got John Stockton 59 out of 99 for the jazz congrats at Utah Love those throwback jazz jerseys So cool a blue timeless Timeless moments Bradley Beal 27 out of 49 there we go Washington Chun why W? Congrats, buddy. That is a so cool dude That's awesome dude This is him averaging 31 point six points to help the wizards win 10 of 11 games That's awesome, dude. I haven't pulled this one yet either. I was excited for this. That's sweet, dude So sweet 27 out of 49 Heck yeah, congrats Chun why? Yeah, yeah, we do um We upload everything to YouTube after Kevin. It'll have the break title in the It'll have the break title the break name and the title so if you're like one-in-one number 21 just type in like 2021 Panini one-in-one 10 box break number 21 and you'll find it on YouTube. Yeah, we upload them right after we're done We've got going to the next star J 5 out of 30 RJ Barrett. Oh For sure Tate for sure Another redemption This is number 21 right here ballin rookie dual Jersey autographs blue Scotty BOOM Holy cow blue number to 49 There you go. Congrats Raptors man.  For the pelicans you on us valentine's seven out of 99 on the J valve congrats pelicans Case to base then we've got Another timeless another timeless This time it is 16 out of 25 boom Going back to Bob H Bobby Congrats Bob, dude That's some fire back to back to back to back Monsters, let me take them all really quick This is just so you guys know Two out of four boxes two timeless moments Scotty Barnes RPA to 49 John and then coming up to 35 and now a step curry 16 out of 25 dude Wow the block is hot Holy cow, man. We are on absolute fire Angers Angers Wow, holy cow, dude She's man That one yeah, that might be the best that's when he that's when he hit the he broke the record, too Where yep, oh All right, let's see what we got in the next one super cool. Oh, we've got purple That's gonna be Dylan Brooks six out of 15 for the gris nice one there gris congrats on that one grizzlies Next one up rookie For the Kings Davion Mitchell 24 out of 25 not bad. We'll take that congrats Sacramento. Hey Joshua Kings is gonna be Johnny Pete congrats Johnny Johnny Joe Yeah, it's a big staff man. That's a huge Bob if you want to purchase insurance Because you have two monster cards coming your way There's the insurance link Warrior spot like 800 or something seven or 800. I believe that's how much the Warriors was See if you pull you imagine more timeless come out of this it's not over yet, dude. Holy cow. It's not over. We've got rookie 96 out of 99 for the Blazers Brandon Williams congrats Blazers Nine for 29.  That's bad Yeah Next up rookie Jersey autographs For the Lakers that's gonna be Austin Reeves nice 88 out of 99 congrats LA One of the Nice one of the best ones there Our best best rook pretty much the only rookie for the Lakers Yeah, Golden State sells very quickly cuz of the curry and coming up Moses Moody's in there, too Yeah, it's uh, they're one of the quickest teams that always get snatched up same with the cabs cabs always get snatched He'd go really quickly cuz of LeBron's Yeah, man, absolutely unbelievable We've got going back to the Blazers trend in Watford 20 out of 99 Congrats on that. There you go a Blazers It's silliness And then we've got for the Gris Jaren Jackson Jr. 35 out of 99 congrats Memphis That'll work Gris Memphis is Tianchi H Nice one there game use on that to on-card JJJ triple J I know need an IO Right here right now an IO to soon move in this box right here There's a Harrison Barnes to start Nice one there Yeah, he was really good at Michigan State, too. That's nine out of 15. Nice one there for the Kings again Yeah, J triple J was good, dude. Very good in high school, too Next getting 20 piece. That's funny All right, we've got another timeless the way Another timeless it's gonna be Zion Williamson Dude Holy cow What a case man god that's so clean Congrats to New Orleans Mark a congrats mark our key Dude, that's so nasty five of 49. I gotta show Caleb this after Unreal man a case that's such a great thing to do we go Yeah, we got eight more cases to go This stuff is insane man Insane three timeless moments in one case Isn't that so sick dude what a picture too and it's alive too. It's awesome. So cool We've got four of the Hawks Bob Pettit 83 out of 99 Congrats on that one knees. Oh, yeah Do I think that's Bill Russell in the back right? Yeah, that's a cool card man. Nice one there Hawks. That's an awesome card I really like that. All right, we've got rookie Jersey autographs purple For the Hawks Jalen Johnson six out of 35 Atlanta box right there. Congrats ATL Nice one there. That's a two-color on the RPI Congrats ATL who had the Hawks in this one Anthony s congrats Anthony Anthony Empty Yeah, that's what I was gonna say Why saying we've we pulled a lot. There's one case. I have four. That's my record. It's four timeless moments It was curry Iverson Amaris thought of Meyer and Mori really and Anthony Simons. Yeah, yeah, it's him holding the rookie of the year trophy. Yeah That's pretty cool. And then Anthony Simons is him wearing the Throwback Vince Carter Jersey in the dunk contest. Oh, yeah, it's really cool really cool one All right last box guys Chris Paul sneaker spotlights Oh my god 53 out of 99 going to the Suns dude Holy cow Suns is where's Phoenix at? Matthew X congrats Matthew Wow, dude, wow on unreal dude, this case is unreal. Yeah Whoo, and and then we've got our last card of the break That is gonna be for the thunder Big perk biggest hit of the break right here Kendrick Perkins, baby. Congrats. Okay, see That is gonna be going to Shawn M Congrats Shawn That'll do it for the break guys. What a case man Thank you again everybody for the film. We'll get these right out to you


As part of efforts to curtail lingering farmer headers, crises, boundary trees, insecurity and restore peace, harmonious understanding of affected communities in northwest Nigeria, international alert peace commission and critical stakeholders have decided to promote peaceful coexistence, access to equal justice between farmers and pastoralists in Zamfara and Kaduna State communities. They say the program is aimed at supporting stabilization, social justice and localization of justice by ensuring that people at the conflict-local communities get justice. Plus, they be correspondent, Habila Darufar, fighting this report. For decades in northwest Nigeria, climate change, growing population are factors that have resulted to competition over natural resources, leading to conflicts of farmers and headers' crises. These challenges have escalated into cattle rustling, killings, kidnapping for ransom that displaced hundreds of innocent citizens with most children and women affected. Speaking, the country director of international alert Paul Bemshima says the region is suffering from full-scale violence involving many non-state armed groups and ethnic militias, noting that lack of persecution of perpetrators, weak dispute resolution measures and poor access to justice for survivors are major causes of the conflict. We recognize that violence is exacerbated by the level of impunity, weakness due to the lack of persecution of perpetrators, weak dispute resolution measures and poor access to justice for survivors. So the different initiatives for promoting justice seem to have been focused on the perpetrator and less attention paid to To control, report and respond to disturbances in communities, the Cardinal State Peace Commission launched its early warning, early response system in 2021, highlighting how it aids in resolving crises involving farmers and headers in local communities. Representatives of the government, however, advise citizens to be law-abiding and avoid taking laws into their hands. If a group of pastoralists were grazing, destroying a particular farm, what people supposed to do is to recourse to the law by reporting to security agencies. The same thing is applicable to farming communities. It is a criminal underworld where the bandits, the groups are roving bandits. They have no one place where they can be found. They move from one forest to another across the entire states of the Northwest and even parts of North Central. So they are more difficult to deal with. At overall, I think most of those ethno-religious conflicts related to farmers and headers have been substantially managed. Still dealing with is the issue of criminal activities by banditry groups. A stakeholder, Barira Ibrahim, expressed delight saying the project was apt and timely. What are the factors that used to bring this kind of problem or challenges in our societies? So when all these issues are addressed, been addressed properly, women with the end of enjoyment and this violence will end up, or even not minimize them, but also end up in our state. So we are ready to support this program to collaborate with Zamprested women affairs so that women of Zamprested and children are not longer be left aside. The program will last for 18 months in Chukum, Jamar, and Zarya in Kadna state, while in Zanfarah state in Beirunin magazine, Maru, Shinkafi, and Safi local government areas.