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So welcome everyone. We have with us Anjali who's going to be giving us a talk on careers in the age of acceleration Anjali Over to you. Go ahead. If you could go ahead and share your screen So good evening everybody and for those of you who are joining us from other parts of the world I will like where I'm at. Good morning and good afternoon. I Want to start the session with a question look at the slide and Think about which emotion best describes how you feel when you ask this proverbial Interview question. Where do you see yourself five years from now? You know ten years ago I felt my work world was changing at a pace faster than I could keep up with My emotions resembled mostly what's on the right hand side of the slide. I was anxious. I was confused I was uncertain After years of feeling confident, I wasn't feeling so sure about my work You know studies indicate that by the year 2030 half of the jobs of today will likely be automated and Half of the jobs that will exist then have not even been conceived of yet And I think that the last few months have sped that up a little bit. Don't you think? Well, we can't ignore it anymore. We are in an era of accelerated change and We have to figure out how to navigate our careers in this age of accelerations So my name is Anjali Leon as Kinsey mentioned and I am founder and principal of PPL coach It's a boutique coaching and consulting practice that offers experiential workshops innovative co-created solutions and professional coaching in the areas of product people and personal leadership and I specialize in design thinking lean and agile principles and practices and the co-active coaching model But my real joy in fulfillment comes from helping people learn to navigate an increasingly uncertain and changing world and so today I Want to share with you the story of my own career journey and how I got here How I got to be founder and principal of PPL coach and I'll share some insights about navigating a career amidst accelerating change And I hope that what I have to share will inspire your own journey to a more fulfilling career So this year is my daughter Arianna in Arianna graduated from university last year with a degree in event management and Since then she started her first real job that she absolutely loved and if I was to do the stock back in March When I was still looking forward to actually coming to India and doing the stock there that would have been where she was at in her journey But since then The status of her journey has changed She has since been furloughed and then laid off and she finds herself faced with the reality That her school advisors had prepared all of her cohort for four when she first started college Only thing that we did not expect that it would come so soon You know, I can vividly remember and recall her college orientation event that my husband and I attended the university advisors were sharing to all of us parents that We need to be very particular That we were clear That our kids would be launching their careers in a world that was very different from the one that we had experienced And that by the time that they were 10 years into their careers Half of them would be doing jobs that had not even been conceived of yet and Half of the jobs of today Won't be around So her college experience would be less about launching her into a 40-year career and rather a preparation For the critical thinking The problem-solving and lifelong learning skills that she would need to navigate her future and boy Is she putting that to use now? We as parents, you know, we were relegated to no longer being advisors Because we would not really know what the future would look like but more as coaches Helping them to uncover and tap into their full potential And I was sitting there thinking oh my god What a contrast from when I started my own career 25 years earlier You know as a young ambitious woman growing up in India I had a natural ability in math and problem-solving and I took took the engineering path That just seemed like the natural choice for somebody who was good in the sciences, you know That's what our upbringing in India taught me. I'm sure many of you can relate And I thought my path forward was clear and well-defined Of course, I would do the respectable thing like find a great company and make my way up that career lap a step-by-step focused and deliberate climb That was sure to make my family and friends proud. You know what I'm talking about. I Knew that at some point that I would come to a fork in the road And I would have to make a choice and I even knew what that choice was probably going to be You know, I would have to either choose to continue down a technical leadership path Or I would have to make a choice and pick what I wanted to be in people management And I knew the answer to that as well all the way up to CTO, baby That was my thought. I mean who wants to deal with people, right? You know how the saying goes Man plans and God laughs. Well in this case woman plans and God laughs Because you know what the next 25 years of my career looked like More like this a Jumble of twists and turns dead ends and u-turns More like the random unsteady steps of a drunkards walk Then a well-crafted career roadmap So I'm curious what would yours look like and if we were together in person I would have you capture your career journey and a piece of paper and share it with the people around you but in this virtual environment you'll have to do with Reflecting on your journey and going through this experience with me as part of your handouts, there's actually a series of sheets of paper that include a template to go through this process yourself So I hope you'll take the time to do that self-reflective journey at some point after this session But for today, just think about it. Just reflect on it. Would it look like this a Clearly defined climb up the ladder in the same company growing in pay and status over time or Would it look more like mine? several different companies Several lateral moves to a different role and some even step backs in status or salary to make a change possible You know when I sat down to draw this map, I thought I was unique I mean all the messages around me and what the experience of my parents and their generation had been it was customary To stay in the same company your entire life Sometimes even multiple generations stayed in the same company and followed the same trajectory. I Would say even 20 years ago a Resume that had too many jumps would be frowned upon. I mean I did that myself But in doing this activity with people like coach and in other conversations that I've had, you know, what I realized This is much more common than you would think There's a fundamental shift happening in our expectations and realities about our careers. I Think gone is the metaphor of the ladder So what is the new metaphor? What is the image that comes to mind as you look at your own career journey I Believe that metaphor is a lapis Not a straight path up But a series of self-selected steps going up down Sideways depending on what was happening in your life and the world around you So what is driving this change? What is going on? I believe all of this change that we are experiencing is as a result of the age of accelerations The last two decades have brought on unprecedented change Primarily driven by technology this Slide right here represents the curve of the rate of change of technology and You can see it's an exponential curve We all recognize this type of curve by now. I mean, it's similar to the COVID-19 curve and you know, not good things come from that So did you know that we experience in similar Exponential curves for the rate of change in globalization and global markets a similar exponential curve for environmental factors like climate change and resource depletion and now things like the pandemic as well and What's interesting that is all these changes are happening at a faster and faster rate And they are all happening at once so you can imagine the level of complexity that we are facing right now And I'm sure that you'll agree Accelerating change is not fun. Well If you're written in a Tesla and gone from zero to sixty in two seconds, maybe you'll think differently It might be exciting But you know, whether it's the airplane takeoff with an accelerating car or a roller coaster ride it brings about a mix of fear and anxiety even with that excitement and I don't think that any of us would say we would be comfortable with Accelerating change indefinitely I mean imagine going getting never getting to a cruising altitude or speed You know, we're not used to sustained exponential change Yeah, you know, that's where we find ourselves today in multiple facets of our lives and our businesses and organizations are Experiencing the same and they're trying to navigate this change. They're trying to respond to these changes So that they can continue to operate and stay profitable And we are seeing the results of this attempt to navigate change We're all familiar with it. Many of us work in actually making this happen. You know, we think about digital transformation journeys Automation cloud-based technology data and analytics are all in response to this accelerating change replacing manual and physical tasks with robots augmenting human capacity with artificial intelligence and machine learning and deep learning and Then tapping into a global workforce in order to be able to keep the cost down only interestingly all of these attempts at Navigating these accelerating changes are only making those curves even steeper and It's affecting the workforce us You know for decades There was an unspoken social contract between employers and employees Employers said give us your talent and your energy and we'll take care of you Well the demands of the age of acceleration such changed that relationship Between that employee and employer. It is literally reshaping the world of work impacting not only what we work on But how we work and who we work with So about 10 years ago, I started noticing the toll of these changes in The world around to me first it was in the people I was interviewing from middle-level positions Many were looking for new opportunities after long careers in a very specialized work roles in the organizations But when they came in for those interviews, you know, I noticed that they looked spent I mean their expert skills in a very narrow area did not translate to our context And they knew it. I could see the anxiety and certainty and lack of confidence in their eyes as they were trying to make this change And then guess what I Started noticing it in myself. I started noticing its impact on my own emotions and confidence So for years, you know, I was a software engineer And for years my C++ skills were in high demand And now I found my once shiny new skills becoming dated And I tried to keep up with the latest technologies and frameworks, you know, back then I was Trying to pick up C sharp and windows presentation framework and windows workflow foundation and dot net and imaging libraries and design patterns and So on and so forth and the more I learned The more there was to learn And that process was starting to get tiresome and painful And I was finding that I was no longer energized by these topics And I found myself feeling inadequate Next to the much younger software engineers to who this came so easily and for a person who At once felt at the top of her game Well, this was an unfamiliar feeling And I recall one day about a third of the way to my office I felt an anxiety growing And tears rolling down my cheeks I realized I could not go to the office that day I could not bring myself to go to the office that day. So I made a u-turn and came back home and called in a mental health day And that u-turn Was reflective of a much bigger u-turn that was to come So what I believe I was experiencing is what thomas freedman Spoke about in his book. Thank you for being late an optimist's guide to thriving in the age of accelerations And it's illustrated in this curve in this graph So this curve is showing the rate of change of technology. That's the blue line And the black line is the rate of human adaptability to change And we have clearly reached a point where the rate of technology technological change Is outpacing our natural human adaptability And so there's no wonder we would it would raise feelings of uncertainty and confusion and anxiety So what does all this mean for our careers and what does it mean for you? for me I realized that something had to change And the words of jack welsh I remember ringing in my ears Said he said control your own destiny Or someone else will well, I was not going to Allow that to happen So I paused I took a deep breath I reassessed where I was and where I was going Sure, I would have to grapple with what it would mean for the six-figure salary that I was making And the team of co-workers that I loved But what I uncovered changed the trajectory of my life And is what I want To share with you today In case you are looking to change the trajectory of your life So I have come across this concept of ikigai And if any of you have come across this concept of ikigai give me a thumbs up as a matter of fact I would love to get some response from Those who are of you who are listening that I know that you are listening Give me a thumbs up If you if something resonates with you and it'll at least give me some feedback on what's going on So based on this ikigai concept that I'm going to cover in a moment Uh, I started asked and scored my I scored myself in these four areas I scored myself in the scale of one to ten my level of satisfaction in this area and the trend That I was experiencing in that level of satisfaction So the first one that I checked in on was was my work reflecting my strengths and what I was naturally Good at And when I first started my career, I would have rated this much higher But at this point when I was assessing myself, I gave it a seven and I noticed that The way things were changing. This was trending down I also asked myself Does my work allow me to earn a decent living? And that got a nine I was making a very good salary And was appreciated at my work and I expected that trend to just go up That I would continue to be rewarded for the work that I was doing contributing And then I asked myself is my work aligned to my strongest motivators. Does it bring me energy? Well, this is what was taking the biggest toll on me At this point I rated this only a five And this was on its way down if I did do something about it And lastly, I asked myself is my work Creating a positive impact in the world And true in the small circle that I was in in my organization and people around me and our customers It was true But in terms of a larger context in the bigger world I didn't see my work making that much of an impact a positive impact in the world and I didn't see If I stayed in the status quo, it would remain somewhat The same I thought So it was clear for me that something had to change So let me give you a little bit of a background on this concept of ikigai So ikigai is a japanese term that means reason for being the reason why you get up in the morning And its origins lie in okinawa japan And this of ikigai is touted as the secret To a long and happy life that the people in okinawa enjoy Now finding your ikigai as you can see is a pretty introspective journey and it's a very personal journey And it has to be a voluntary journey that you undertake to really uncover the answers to these questions And once you do it is You can see that it probably is an authentic expression of yourself The essence of the ikigai is captured in this framework that you see on the screen It answers four questions What am I good at? What do I love to do? What can I get paid for? And what is the world need of me? And you'll see interestingly these kind of line up to our human needs Of survival stability success and significance And in the western world we might Use the term purpose instead of ikigai or bliss Now the problem with how we have traditionally looked at careers is that it just looks to answer two of these questions What am I good at and what can I get paid for and many times it is What can what am I good at that I can get paid the most for? Well in a world that's constantly changing what I can get paid to do is constantly changing Which means I need to continually find what I'm good at to align to that And if you don't like What it is that it's leading you to it can lead to a lot of anxiety and misery as you can imagine So I decided to Start with a different set of questions and this is what I would recommend Others start where I would recommend others start as well When the first question is what do I love what motivates me? What fuels my energy? And I went through an Real self-awareness and introspective journey to find this out. I Enrolled in a leadership program where they did a bunch of assessments to help us understand this And you might be familiar with some of these ways to understand, you know, what motivates you and what fuels your energy Might have done something like the disc or insights profile or the management 3.0's moving motivators to uncover this And I also dug into what I'm naturally good at. What are my strengths? What are my skills? and Here I did the strengths finders, which is a great assessment tools to uncover your strengths your top strengths and some 360 degree feedback From my colleagues from people I reported to to understand what my true skills were Interestingly I really didn't need that because there were clues Throughout my journey that were they all along and when I look back at this map that I had created and started asking myself some Questions, I noticed what these clues were So I noticed which of these roles that I played throughout my career Generated the peak experiences of my career Where I had a lot of energy from my work and my contributions to making the real impact And then I uncovered what was I doing that gave me the energy and what skills was I using While I was having those peak experiences And here's some of the things that I uncovered. What do I love to do? I realize I love inspiring and motivating people I love creating shared understanding solving problems creating connections And some of the things that I was naturally good at Was seeing trends and patterns that had let me down the engineering path before and the map Was a skill that I possessed and that let me down the engineering path before as well But I also was good at creative problem solving learning new things quickly Listening this is one of my power skills and teaching and mentoring And what I noticed the patterns that were emerging was well, there were more around people and less with technology So in your pockets in your handouts, there is this particular template and I encourage you to map it out Find the patterns Uh in your in answering these questions for yourself and then share it with a colleague or a mentor or a coach Get some feedback and insights from them And answering these two questions Of what do you love and what are you naturally good at? You uncover what your passion is And let's Confucius says do what you love and you'll never work another day in your life Meaning that if you do what you love it won't feel like work. You will be working a lot, but it won't feel like work But if you stop here, it is these are the only two questions that you ask It might lead you to be a starving artist. So I recommend that you ask a third question What can I get paid for? What can I do that others value? Now in the age of accelerations, this is the moving target But we have some clues. So let's dig into some of those clues in terms of trends that we are seeing so far and this might change But here's some of the things that I have noticed that I'd love to share with you So we're already seeing the repeatable mass market solutions and manual jobs being replaced by automation and robots And we are starting to also see that jobs based on expertise or precedent or data Anything that can be analyzed or codified Like healthcare diagnoses like criminal sentencing like analytics and forecasting Are being replaced by artificial intelligence You know when it comes to processing a lot of data Machines are just better at it. I mean For all of us our expert is Google now, right? So these will likely account for the 50% of the jobs that will disappear So what clues are there about the 50% that have not been conceived of yet? What might they look like because that's where we wanted to pay attention? So here are some trends that are emerging Technology and connectivity is resulting in us as consumers being much more informed and savvy And we are not looking for mass market solutions We want niche products Personalized to our needs our context our concerns. We want solutions that solve our problem our unique problem And we are willing to change vendors. We don't really care about brand loyalty anymore We want that thing that makes us do our job better Consumer trends are also showing a shift in spending From physical products more towards experiences and services that make our life easier So there's a real need to understand the customer and personalize those experiences for the customer And in responding to these customer needs will require capabilities that I believe are uniquely human creativity imagination curiosity social and emotional intelligence empathy And we are likely going to see a results of these shifts in the workplace as well And we're already I believe seeing some of this so for decades we were obsessed with efficiency and output And that's shifting for a lot of us our language is shifting to how can we get more effective solutions? How can we get better outcomes and the outcomes that we're talking about are what I just alluded to a better experience for our customers So in the workplace and what we as humans will do in response to that Will be things like routine tasks now Our work would shift to more creative work and less on routine tasks Value is going to be placed more on versatile lists over specialists people that are adaptable people that cross domains people that can solve more complex problems Hierarchies and centralized decision making is giving way to more networked organizations leveraging the talent of many and humans Will be seen less as a commodity resource And more as a source of creativity and innovation so Going forward the company will be less of titles of place that you felt And more of a role a role that you play in an organization. So what would those roles look like? For this I want to share with you an article from the Harvard Business Review And it talked about the three future job roles for knowledge workers And I bring this to you because I'm already noticing these trends in our work environments already particularly As we bring agile into the work world So the first role being a composer So composers are people who deeply understand aspirations and needs of the consumer And they can compose engaging and rewarding experiences for them These are people who love designing and discovering new things And people who love that feel right at home will feel right at home in this role The second role is that of creators. These are the people who can anticipate The rapidly changing needs of the customers and design and deliver Creative and tailored products. They can bring the experience that was composed. They can bring it to life And people who fit well into this role are the people who love to take an idea and make it real implementers And last but not least are the coaches and coaches are the people who help others and their customers achieve their potential And we are likely to see coaches in all forms in all different areas from wellness coaches and sports Coaches to fitness coaches career coaches gardening coaches travel coaches, etc, etc, etc And we're already seeing this trend And people who love Helping people develop and show up as their best selves. Well, they fit beautifully in this particular role So Maybe you are seeing A parallel as well to what I saw in terms of roles in the agile roles in our organizations And you can see how the product on a role fits so nicely In the role of composer team members in the role of creator and scrum master in the role of coach So which of these most resonate for you? How do you know What paid role will fulfill what you love and what you are good at? well You got to experiment and try To discover that and don't be surprised if you find the answer in the most unlikely of places You know for me and how I came into my agile Coaching role Was finding a book in the bookstore and that too in a family church camp bookstore The only agile book in that little bookstore and I was the first question I actually asked was what is an agile book doing here I was a scrum master at the time doing the scrum master role along with My my development role and I was leading the scrum adoption in my organizations I picked it up thinking that I would learn a thing or two And it did not take me past the introduction of that book Uh to realize that what I could get paid for by doing the thing that I loved and was naturally good at Things that I was already doing Willingly and I've even considered it as work I could not believe that there was actually a name for this role and so that's how I find found what it is that met Uh those questions for me. What was I good at? What do I love? What can I get paid for? And the court role might not be the one for you. You might align very nicely with the composer or the creator So when you find the intersection of what you love what you're good at and what you can pay to do Then you've found the intersection of your passion and your profession And this is an amazing place to be Inevitably you are on your path to success So you might ask, okay How do I get there from where I'm at? Well, they are agilists and we know how to do this and we start by doing something right Learn gain new knowledge. You might uncover something practice build experience Experiment try something new Do some action And then pause and assess did I love it? Am I good at it? Is it something that I can get paid to do? and based on the answer adapt You might decide that you want to gain some additional knowledge And get better at it. You might want you to practice more to get better at it Or you might try something different because this is not quite what resonates with you and the cycle will continue So what if you are here? You know What you love and what you're good at So now you're looking for opportunities to get paid to do it The best way to do this is to demonstrate your skill and passion for it But let others know What you love and how you're good at it So you might sign up to do that kind of work at your organization Or you might try a side gig Or you might start applying for a job that allows you to do What do it allows you to get paid for what you love and what you're good at? Now, what if you are here? You're good at it and you are getting paid to do it But you don't love it and some of us find ourselves in this place And what you have to do here is just try new things so consider Of filling in for somebody in your organization that's performing a different role when maybe when they're on vacation Or maybe if they've taken a day off Maybe you want to pair with them and see what their Work world looks like Perhaps you might suggest a role swap for a week or so in your organization or within your team Try something new in your volunteer organization. This is a really safe space To try different things to uncover. What are the stuff? What are the things that you love? There's great clues of what you love and just the hobbies that you do And so you might find ways to bring in Aspects of your hobby into your work And notice your energy as you're doing this that will be giving you clues on what it is that you love And what if you're here? Well You love it. You're getting paid to do it, but you're not good at it yet Well, this is the best place to be because we know how to work through this From here you can learn and practice and pursue mastery in it So if this if you leave this room Remembering only one thing. I hope it is this And it's a quote from steve jobs who was a great example of doing work That aligns with what you love what you're good at and what you can get paid for He said the only way to do great work Is to love what you do If you haven't found it yet keep looking Don't settle As with all matters of the heart You'll know when you find it And I'd like to extend that Because through my own experience, I believe That the only fulfilling way to navigate a career in this age of accelerations Is to find and do what you love Because once you find it You'll find yourself on a path that is the curious continuous learning journey That's a welcoming journey And as philosopher Joseph Campbell said Follow your bliss And doors will open where you did not know they were going to be But don't expect to stop there Just when you are skillfully navigating your career They will likely come a point When you will start asking a more profound question What does the world need of me? What do I stand for? What impact can I create in the world? And based on what's happening in the world right now That question may come sooner rather than later So I will also leave you with this inquiry What does the world need of you? What do you stand for? What impact do you want to create in the world? And you can start With what makes you come alive Because as the author Philosopher and civil rights activist Howard Thurman said What the world needs right now Is people Who have come alive? I hope you enjoyed that presentation And I hope that you have lots of takeaways To bring into your own Journey navigating Your career and I open it up for questions. So can you see is there anything? There's one question that's come up Does all these four questions come as stages of your experience in your career trajectory? Yeah, Aniruddha, so absolutely and and I actually now Ask these questions of myself on a regular basis I reassess because things are changing so fast and For me when I first started my own career journey, I let everybody else ask just the two questions What am I good at? What can I get paid for? In fact, what can I get paid the most for with what I am good at? And that was what took me down the the path of engineering and I enjoyed it. I enjoyed it I loved it for many years, but it was not sustaining And when I switched To first ask what is it that I love? And what am I good at? Those are the first two questions and use that to Decide what can I get paid for and as things are changing in terms of what you can get paid for The the first two Are kind of your not star to uncover the things that you That that where you can apply what you love and what you're good at Let's give Anjali a thumbs up for all the hard work. She's done and for the wonderful session Anjali, you can see all the thumbs up coming up for you. That's beautiful. Thank you


Yo, yo, yo, yo, I want to make this quick video showing you simple funnel we made for one of my clients He's selling his coaching packages per month, which is a three-month minimum package a 997 a month So it's $3,000 package and this is the funnel we created him so we started off roughly around $50 a day in traffic so Facebook ads and YouTube ads which led to Landing page squeeze page whatever you want to call it which we offered a free video series is a four-part video series and On that page we had a 22% opt-in rate After the video series the people who did opt-in they got a thank-you page with a special upsell to a $7 product if they took that they went somewhere else which we didn't plan out yet and Basically the people who didn't take that they went through the course so email one was a case study So his previous clients he wrote a pre and a post a very epic case study the email itself brought roughly four pages Email two is a story of you your hero's journey So the pains you went through and how you overcame it email three is anticipation So you talk about something special coming up and then you show them about the possibilities Email for it's up to you. We test this out either We have a VSL a webinar or an actual physical phone call and finally email five is a limited offer now when done, right? We're closing roughly 12k per month. So three contracts per week. You can have this completely automated I would personally recommend you add the phone call as a little touch considering you are selling high-end coaching packages So it's not complicated. It's very simple. There you have it Facebook ads YouTube ads Copy and paste this. It's it's not hard. It's just you got to put in the time Write everything out make the system make the machine press play See what's working. See what's not working optimize rinse and repeat. Remember the Oodleoo philosophy Use it and that's how you succeed. All right guys. Take care


Hi, my name is Liam White. I'm a senior software engineer at Tetrate, where we help companies adopt and scale Istio. We work with them to solve all sorts of technical and organizational problems. So if that sounds like a problem you have, my contact info will be on the final slide. As it's relevant to this talk, I'm also a maintainer emeritus on the Istio project. Emeritus is a fancy way of saying former. And yeah, over the past few years, I've worked on several Kubernetes operators to varying degrees of success. And this video is an effort for me to clarify my own thinking. I've learned from these experience with the goal that everyone who's watching can learn from the pain of myself and my colleagues. To do this, we will take software engineering principles and ground them in the operator ecosystem to help us design better software and hopefully make better decisions. So first, let's get everyone on the same page. Let's discuss what the operator pattern is and what problem is it designed to try and solve. If we take a look at the Kubernetes documentation, it says the following. The operator pattern aims to capture the key aim of a human operator who is managing the service. Human operators who look after specific application and services have deep knowledge of how the system ought to behave, how to deploy it and how to react if there are problems. The way I would actually summarize this is that the goal of building an operator is to codify knowledge that you have about operating a system or application. This diagram is quite a lot. It is the architecture diagram for KubeBuilder, which is one of the frameworks that you can build an operator with. Now, there's obviously a lot of information in this diagram, but at a very high level, what we do is we watch the Kubernetes API server for events and when an event occurs that we care about, trigger the reconciliation loop that we've implemented. Often, the events we're watching are custom APIs that we write, i.e. a CRD, but they don't have to be. So we could watch for changes to deployments if what we want to implement is some kind of failover, for example. There are several libraries in a variety of languages that will automate the way a lot of the boilerplate of building an operator so that we can focus on the actual logic and beyond the obvious program and language differences, there are different approaches taken by some of these libraries. For example, Kudo allows you to build an operator using just YAML, but the library I'm most familiar with in this list is KubeBuilder. In fact, the architecture diagram earlier on was from KubeBuilder, but this isn't really a discussion about which library to use, it's on whether or not we should be building an operator in the first place. So we're not gonna talk too much about these libraries. One other quick point of terminology to get straight is that of an operator versus a controller. So the controller is the part that actually implements the reconciliation logic and the operator is responsible for running one or more controllers. It does do other things like validating emission webhooks and mutating emission webhooks and that type of stuff. But in this case, we're primarily talking about it in the context of the control loop that it's running. I will inevitably use these interchangeably. So as we go, but at the level of abstraction this video is discussing, it kind of doesn't really matter. Controllers, operators, same thing. Those of you that are familiar with the internals of Kubernetes will know that it's just a collection of controllers and operators. At a high level, each resource in Kubernetes has its own operator. For example, when I apply a deployment resource, the deployment controller is watching for new deployment objects and its job is just to create a replica set. The replica set controller is watching for replica set objects and creates the relevant pods. And then the scheduler patches the node name and off we go, right? The Kubla takes over at that point. It's effectively just operators, the controllers chain together all the way down. So now that we've gone over some of the theory, let's take a look at a concrete example as a case study. The operator we're gonna talk about here is the Istio operator. And I'm using this as an example because first is public facing, but also I was part of the working group responsible for building it. And the issues that the Istio operator had reflect experiences I've seen elsewhere as well. So it's not just unique to the Istio operator. As a quick disclaimer, I did participate in the design phases of the operator, but I didn't contribute meaningful code to the implementation. And although I'm critical of the Istio operator here, the Istio project is pretty good at making tough choices when a technology or decision isn't working for users. The most obvious example of this is when the project moved away from a microservice based architecture because the complexity overhead that users had to deal with outweighed the benefits. So with that disclaimer out of the way, let's talk about Istio. Now, one of the project values of Istio has always been to optimize for configurability. As a result, you can set up Istio in all manner of weird and wonderful architectures across many different types of workloads. But this makes installing Istio non-trivial for users because the problem with this level of configurability is that there is an inherent trade-off between configurability and simplicity. It's not linear, but it is causal. So the goal of the Istio operator was to tame some of this complexity by simplifying the experience of installing Istio. The announcement blog summarized it with these four points, but for the purposes of this video, we are gonna focus on the following two points, that all API fields are validated and that version-specific upgrade hooks can be easily and robustly implemented, which at the time was a significant problem that users were having when upgrading Istio. So the operator worked as follows. A user would create a CR that describes their installation. When they applied this to their Kube cluster, it would be validated using a validating admission webhook. This is how we get our type safety. And then once applied, the operator would take the CR, it would render the built-in Helm templates based on the CR and produce Kubernetes YAML. And then it would apply that to the cluster. One thing to mention here that will become relevant later is that the CR itself didn't actually look that different to its predecessor, which was a Helm values.yaml file. But there is definitely value an operator could provide here. For example, preventing upgrades if you're using Istio resources that have been deprecated or removed in the version you're now about to install. If we take a look at how the operator aligns with the operator documentation, I would say that you could argue that the goals of the Istio operator were capturing the knowledge of a human operator. In this case, the operator are the Istio maintainers who are providing validation that the installation configuration you're provided is correct as well as version-specific upgrade hooks. One other thing to mention is the operator wasn't just providing syntactic validation. We would actually prevent certain types of behaviorally invalid configuration that was syntactically correct. So we were kind of removing some of the foot guns there as well. This is functionality that can't fully be solved by Helm. Whilst there is support for upgrade hooks in Helm, a significant portion of Helm users, myself included, use the Helm template command and then deploy the generated Kubernetes YAML. When you use Helm in this way, you don't get any of that hook logic, right? You don't get the upgrade hooks. And this kind of makes sense, right? If I'm gonna flatten everything to a KubeApply, there is no lifecycle, right? There is pre-KubeApply and post-KubeApply, right? And this is like legitimately where building an operator can provide some value. This would kind of all be fine in a world of no trade-offs. But if there were no trade-offs, we wouldn't have a job, right? So what are the trade-offs or the problems of moving this type of logic to an operator? The first one I'm gonna discuss is kind of the surface level obvious one, right? Building any kind of reconciliation loop is easy to get wrong. And there are a couple of reasons for this. First, you have to deal with merging configuration. Second, you have to deal with what happens when the operator gets stuck. If it's a human operator, we can solve problems on the fly, right? Like we can unstick ourselves, usually. But to encode this in an operator requires us to know about all of the failure modes ahead of time and to tell the operator about them. Depending on the complexity of the thing you're trying to automate, there may not be that many failure states. So, you know, this might not be a problem, but with something like Istio or something more complex which allows users to deploy in a multitude of different architectures and customize the heart's content, there are a lot of dimensions and therefore a lot of different possible failure modes. Now, we're software engineers, right? There's the way that we validate this type of things is we test them, but that brings me on to the second problem, which is testing this stuff is hard. Testing has gotten a lot better recently. For example, KubeBuilder now comes with a testing framework, but what you're actually testing with that framework is that you create the correct Kubernetes resources or that your interaction with the Kubernetes, you're testing the interaction with the Kubernetes API. Not that the resources or the actions you take will behave in the way that you want them to. What we end up with is effectively validating syntax, right? It's slightly more than that, but if most of your logic can't be captured by the Kubernetes resources that you're creating, then we can only really test it by doing the full thing, right? No amount of testing framework is gonna help here. You have to actually trigger your reconciliation loop with the given inputs in a live Kube cluster against a live system. And I'm using live in the air quotes here because what I really mean is you have to go beyond unit and integration testing, right? If you actually want to validate this stuff. Next, in my work as platform lead over the last few years, the main takeaway and thing that I've learned is that installation is an extremely hard abstraction to get right. And the reason for this is users have different requirements. They want varying degrees of customizability and have different levels of familiarity with and understanding of your application. When you build an operator, you end up reducing a user's ability to customize things, specifically when you build an operator around ease of installation. If the user wants a feature or to be able to set a field that isn't exposed by the operator codes, then you have to build it into the next version of the operator, right? You can't just edit the binary. Whereas if we're using a Helm chart, a user can just go in and modify themselves if they really want to. This was something the Istio operator attempted to solve by using this JSON patch or customize inspired syntax that allowed users to modify any field in the Kubernetes resource after it had been rendered by the operator. The problem is that this style of API is difficult to use. Despite having used this API frequently, I still have to go look at unit tests to get the syntax right. Anyone who uses JQ and have to Google or now I guess ask chatGPT to build your query, you know this pain, right? And this isn't a critique of the API itself, right? I don't have a better solution to this problem. This is an inherent complexity of choosing to install using an operator versus just installing via Helm. And in a similar vein, by choosing to use an operator, we've added a layer of indirection. Rather than users now interacting directly with Helm, they're interacting indirectly with Helm, right? We shifted some of that logic right. So instead of being able to see the changes in a getDiff, we have that layer of indirection. They can see the changes to the CR in the getDiff. I don't necessarily know what that's gonna do in my cube cluster. And for business critical applications, such as Istio that controls all of the networking traffic, making things obvious should be our primary goal to use us. This is where we should start talking about complexity. One definition of complexity I've seen is anything related to the structure of a software system that makes it hard to understand and modify the system. I would tweak this definition slightly by changing hard to harder. Some of the things that we are trying to automate are already hard, but I think this definition is useful here. Although this is obviously all somewhat subjective, I believe that in the case of the Istio operator, it was a net increase in complexity for Istio installation once you got off the happy path. And that's kind of the key point because if your project values configurability, you can't just be optimizing for the happy path, right? We have to be able to support our users that decide to configure Istio in whatever weird way they want to configure it. And that is all before we consider that we have to maintain and update and test all of this code. None of this is for free, right? Both in terms of engineering effort and opportunity cost of doing other things. Now, despite all that negativity that I've just said, this isn't to say you shouldn't build an operator. This is just to help you understand some of the trade-offs. Ultimately, you need to decide whether or not the value users would get from you building an operator are worth the trade-offs and align with the values of the project or products that you're working on. But the null hypothesis should be use something like help, right? You need to be able to justify building an operator. And just like the change from microservices to monolith Istio decided several releases later, the value users were getting from the Istio operator were not worth the trade-offs and have moved back to Helm as the primary installation tool. The operator is still supported, but new features are not prioritized. So how do we think about whether the value of our operator exceeds the costs that we've just described? Well, the primary principle I like to use when thinking about this type of problem is different layer, different abstraction. This is a concept from the book, The Philosophy of Software Design. But basically the idea is that in a well-designed system, each layer provides a different abstraction from the layers above and below it. If we look at the Istio operator, it is providing some additional guardrails, but it's pretty much the same abstraction as a Helm install or Kube CTL apply. An operator that does demonstrate this principle well though is the Prometheus operator. In addition to installing Prometheus, the abstraction it offers us is in terms of service monitors and pod monitors. And these are resources that enable you to describe targets that Prometheus should monitor. So rather than have to generate a bunch of scrape configuration files in a Prometheus-specific syntax, we're able to describe our targets in a Kubernetes-native way. We're not talking about individual endpoints to scrape. We're providing Kubernetes label matching stances. Different layer, different abstraction. The next principle is whether or not we're building shallow modules. This is another concept from the Philosophy of Software Design. And on the surface, it seems similar to different layer, different abstraction, but this one is more about the API design itself rather than the level of the API. A shallow module is one whose interface is complicated relative to the functionality it provides. Basically, the benefit that a module provides, i.e. not having to learn about the things the abstract away from, is negated by the cost of learning and using its interface. The JSON patch customized inspired post-render mutations in the Istik operator are a good example of a shallow module. The syntax is difficult to use and we haven't really gained much functionality on top of what Helm enables us to do. In the Helm world, I can just pull the charts to my machine and edit them to achieve the same effect. An example of an operator that exemplifies this principle is cert manager. You might not consider cert manager to be an operator, but if we go back to our definition, cert manager creates secrets required to deploy our services. It reacts when certificates are about to expire, i.e. reacts to problems and encodes the knowledge of how to retrieve certificates using the ACME protocol. And Istio itself is a good example of something that follows this principle. I don't know if you've ever attempted to write Envoy configuration and deploy Envoy within a Kubernetes cluster by hand, but that's not how Envoy is designed to be used.  It handles the sidecar injection. It modifies the pod network namespace so that traffic gets automatically redirected. All of these things are encoding the knowledge of human operators, right? The Istio is an operator. And my final principle is to take off your solution blinkers. And what I mean by this is that often users or product will come to you with a solution to a problem rather than the problem itself. And once they give you this hammer, everything looks like a nail. But part of software engineering is to clearly enumerate the problem you're trying to solve. So take your time to work out what they're trying to achieve and only then propose a solution.  For example, can you get 90% of the way there with a Helm chart? Because a Helm chart will give you more optionality going forwards and most, if not all of your users, probably understand how Helm works. So to summarize these principles, different layer, different abstraction, don't build shallow modules and take off your solution blinders. None of these principles are revolutionary or even specific to operators. They're all kind of just useful software engineering principles. But I found it valuable to have these as a mental checklist when I'm reviewing or writing design docs for operators or really any significant piece of software. Like I said at the start, if your company is looking for help adopting or scaling Istio, you can reach out to me at this email address. Similarly, if you have any questions about the videos, send them my way. You're more likely to get a response on email than Twitter. So use that information as you will. And thanks for watching.


Hi guys. So right now I am going to do some unbaggings. This is like totally unplanned, but I just got my package in the mail that I've been waiting on and I just decided to go live because I don't want to edit a video. I did not post my normal two days because I've been really sick. It's not COVID. It was just like a really bad cold. I think I got it when I went like downtown. I don't really know, but anyway, yeah, my throat's still a little sore, but it's fine. I'm just going to unbag this and then if anyone wants to like pop on and say hi, they can, but I am so excited about this purchase. So here we go. Oh my gosh, I'm so excited. Oh look at how cute this is.  So I saw my friend, she had this really cute sweater and it was this one only in a different color, obviously. So this is the Lululemon scuba half zip. Like look how cute this is. Oh my gosh, and I love this color. So freaking cute. I'm gonna try it on now. But anyway, yeah, my friend had this and I was like, oh my gosh, I really want that. So I just looked up like hoodies on. Thanks for jumping on. Where are the comments? Okay, I don't know if anyone's saying hi yet, but anyway, so my friend had this and I'm like, oh, I need it. So I looked up hoodies like on the website, but these things are kind of hard to get ahold of. So I was kind of surprised. So I went on to Macquarie and I got one. So I paid way too much money for this. It's a little overly priced, but it was worth it in the end. It's so cute. I'm gonna throw it in the wash because it definitely like doesn't smell.  So like kind of smells like their house.  So thanks for jumping on. I have been in my A because I've been sick, but this day just got better because I got this. So this is what it looks like. Oh my gosh, and it's like the fleecy inside. I'll show you guys the inside because it's so nice. And even though this is like used, like someone got it and then resold it, it still has the tags on it. So as you guys can see, it still has the tag and I'm glad that I just built the bullet and spent more money than I should have to get my actual size because I was about to spend like a cheaper amount. Ooh, the zipper is like buttery smooth. I was gonna spend more money on I was gonna spend more money on this. Well, oh my god, I'm like blanking out.  And I was like, I'm gonna try to see if I can find like my size. This is a medium large. So I wanted it to still be like oversized and everything. But yeah, so this is the first package I wanted to open for you guys. And then the next little package I have here is my fabuletic stuff. As you guys know, like I do posts with them. Let's see what they sent me this month. I'm excited. So how have you guys been? I can't even talk. Oh my gosh. Ooh, I got these purple leggings. These are nice. Super cute. So this is just what they look like. So adorable. I love this color purple. I hope these fit me. I wonder what size they are. So I typically get a medium. Yeah, these are medium. Okay, so they should fit fine. And then also, this must be the top. Ooh, it's a long sleeve top. Very cute, very cute. Ooh. Okay, so this is my outfit for this month from fabuletics. Super cute. I think this is a size small or it's a size medium. Okay, well, it should fit even if it's a little like loose around some parts. I think I got a comment. Oh, hey, thanks for joining. We love watching you hang out with your moms. Thank you so much, Monty. I believe your name is. Your outfits are always on point. And now I know where they come from. Well, I mean, these are just like, well, this one is from Lou Lemon. But this is just like sportswear, sportswear, athletic wear. And they send it to me. So it's really nice. And then wait, that purple long sleeve top is so cute and perfect to wear where I live. Oh, that's good. It's kind of just like, for like active wear, but I'm sure you could totally just wear it as like a normal top too. So, oh, wow, where do you live? I cannot deal with the cold weather. Like, I'm kind of glad that I'm kind of glad that I don't live in a cold area, Maryland. Yeah. So I don't know. I just gonna, I just thought I would like pop on here if I did get this to unbox for you guys. I'm so excited. It's so soft. I'm so happy with it. So, yeah, what else have you guys been up to? It's been steadily 30 degrees. Oh my goodness, I could not. So yeah, I've just been doing laundry, just resting up really. Because like, it's still sore a little right here. So yeah, I think I'm gonna pop off of here.  Hopefully I'll just get back on my schedule starting Monday, but I just don't know. But anyway, if you guys enjoyed this little video, give it a thumbs up. Hey, oh my gosh, Jim is my temple. Thank you so much. You always join my lives. You rock. Love you.  So thanks for joining and I'll see you guys in my next video. Bye. Don't forget to subscribe. All you finished. Yeah. Just a little short video, but thank you. Bye guys.


What's going on guys welcome back to the channel critical over here some talking about halloween the ends in this video here today And talking about some new tidbits that came out one from Christopher Nelson and another one from John Carpenter himself now Christopher Nelson was This was during a new episode of a podcast of the show the thing with two heads And I'll leave a link to the video in the description, but this is a YouTube show that's co-hosted by Sean Clark and FX makeup artist Christopher Nelson who has worked on all of the previous three Michael Myers halloween movies from David Gordon-Green Blumhouse halloween halloween kills and now halloween ends so He had this to say during that that new recent episode about halloween ends. He said that I'm excited for people to see the movie I think it's weird. It's different and I like that He also had this to say about the reshoots that took place revealing that they actually only took place four days And not two weeks like I know I was saying because that's what some other Credible sources were saying as well. We know the reshoots actually did occur, but they didn't just they didn't last that long They only lasted four days So he said I went and did halloween reshoots I'm not going to talk a lot about it because I can't I did that and it went well It was very busy. We didn't do a whole lot. It wasn't two weeks like everyone saying it was it was like four days But it went well and I was very happy with everything. We had a good time and I'm excited for people to see the movie now The comments he made I know that had some people going wild because like it's just like I guess the weird work choices people Involved with this movie or using to describe it Jamie Lee Curtis Some of the movies gonna gonna piss some people off or it's gonna eff you up and this this person here Christopher Nelson Calling the movie weird different and I like that now being weird doesn't have to be bad But of course to some people they say it's weird.  When honestly before I talk about this, I'll just get into what John Carpenter himself recently had to say John Carpenter had a recent interview why I think he was talking about the things 40th anniversary This is what sci-fi wire when asked about Halloween ends John Carpenter said well, it's Halloween and it ends He said you'll see that it's a departure from the others. It's interesting Dave is a really good director I love working with him and he didn't say anything further than that But the other interesting thing there was how he said it's a departure from the others.  So to me the only way this can be a departure from the other movies or the other sequels that we've been getting is If you do a deep dive into the characters like never before like never before done in any other Halloween movie And by characters or course we're talking about the survivors not Michael Myers himself doing a deep dive in exploring how this thing This man this monster this essential large in life boogeyman to them has impacted their psyche How it has impacted their lives how it has impacted their mental health how it has impacted their day-to-day activities that they have going on and building up a dramatic Connection with these characters before you shove us back into a night of terror for them when Michael Myers ultimately returns I have stated I think in other videos that I would like to see them go to an approach that shows us Michael Myers stalking a bit more and They don't even have to know he's there. We can know he's there and they don't we see them dealing with all the trauma That they have going on throughout the day on Halloween or Leading maybe even do this Having the movie because we know it's gonna be set four years later Having the movie set on October 30th for like at least a good 30 minutes maybe a good 20 minutes and then jumping to Halloween night or Halloween the next day and building that up and Maybe spending a good 30 minutes or another 20 during the day with the characters and just learning about them and Getting to see Michael Myers walk around town Seeing him stalk these characters They don't know he's there you the audience will and we're just along for the ride getting to see them in all this danger That's present. It's getting it's doing nothing But getting you excited for what's to come because you know what's gonna happen What's the sun goes down all shit's gonna hit the fan people gonna be out trick-or-treating Michael Myers is gonna take advantage of that gonna terrorize people But during the day, we're gonna get to hear about what Allison's been up to what? Lori's been up to Hawkins if he ends up being in the movie which of course it's basically all but confirmed from him and from him himself will patent that being Getting to see what Allison's been up to Lori Lindsey other new characters get interact get introduced to them hear what they think about Haddonfield and Hearing what other people who moved out of town maybe think about Haddonfield if they have an impact or place Let's have a role in it and then you get us introduced to all that stuff Get us invested in those dynamics and get invested in those character arcs And then the sun goes down all hell breaks loose. It's Halloween night Michael Myers is back The boogeyman is here to F F ish up and Nobody is prepared nobody but of course at Lori who probably was still holding out Hope that Michael would return because she wants to take this guy down and she wants to be the thing that puts The final nail in his coffin. She wants justice for what has been done to her. What's been done to her? Granddaughter what's been done to her son-in-law even though she didn't really seem to care about him and her daughter Karen and Maybe even Lindsey cuz again, we don't I don't know how close these characters gonna be it seems like those three are just gonna be very close They seem like they're gonna be a a trio of characters We're gonna focus on three final girls not all of them of course gonna make it to the end But a deep dive in the characters is the only thing I can see that can be a complete departure from the other movies We're unlike anything else ever before we are just learning about how Michael Myers has impacted them and Learning about how it impacted their life and how these how this trauma up has shaped them and how it's shaped and affected the town of Hattifield And the new things that are happening in Hattifield as a result of Michael Myers in response to that We know I've talked about this another video about some things that we should expect because of what Phantom Empire has stated He got told from reliable sources that have been correcting the past with them Maybe there's even a new case of a new shape out there or something like that something that's very similar to Michael Myers Maybe something like that goes down and then Michael Myers returns after the fact And we get to see how it all unfolds on Halloween night get to see the final epic battle between Laurie and Michael And then we can go from there the whole it's weird from Christopher Nelson You know, I think honestly that it's weird is the fact that it's more of a character study The whole the whole comparison of it to being compared to Christine and stuff like that Something just tells me this is gonna be a lot more character driven than other Halloween movies That's what I think the biggest departure is going to be you're not just gonna have bodies dropping all over the place You're gonna have kills, but the kills this time are gonna be a lot more emotional Based maybe because these characters gonna be that well developed and set up before all the carnage happens Unlike Halloween 2018 and Halloween kills. This will be a lot more character driven and driven narrative Let me know what you think about this down in the comment section below if you haven't already of course make sure you subscribe turn up Posted kitchen there is a video in the description. I'll have links on my social media accounts on Facebook Twitter and Instagram You can message me there, of course, and let me know if there's any movies news or reviews You'd like me to cover in the future with all that in mind guys. I will see you next week


Right guys, I can hardly believe it. We're almost in the top 10. It's number 12 on the top 100 players in the NFL for 2020. It's Drew Brees. He's dropped 10 places from last year, but he's still in the top 15 and For that I have to give the man credit. He's 40 years of age He's basically Tom Brady the second just a little bit shorter and probably a little bit faster But with that being said, let's get into it guys. I've done reactions on Drew Brees before I'll do them again. I don't have any same skill like I said But I'm doing my best. Let's go. We're gonna be great We're about 40 minutes now after a walk through and it's only one man out here on this field Cheers, Reggie. Thanks, Reg Appreciate that. Drew Brees so great is there's no secret. He puts in the work. He puts in the time He puts in the dedication. He puts in the detail At some point I widened my base. Yeah, I see that too. And so now I short. It's a shorter stride The one thing that comes to mind when you hear about a quarterback having a really fantastic performance like that very very accurate. I Remember Gardner Minshew's first game for the Jacksonville Jaguars. He was on I think 9 from 9 possibly 10 from 10 Maybe even 12 from 12 until he actually missed a pass And he was setting the record pass after pass for the best completion rate in the first game for an NFL Rookie quarterback ever. That's Gardner Minshew. I want to check that actually Now Minshew's got a long way to go until he's held in the same regard as Drew Brees Let alone on the top 100 list, but if we just have a quick look at his Wikipedia he's only 24 years of age and if we have a look at his first air we go Yeah, we go Minshew made his NFL debut against the Chiefs when starter Nick Foles was taken out of the game Due to a shoulder injury which Occurred on the same play that he threw a 50-yard bomb touchdown That was just bad luck. He came on the field and he completed 22 of 25 passes for 275 yards two touchdowns and one interception Minshew's pass completion percentage of 88% is the highest of any player making his debut in NFL history with at least 15 pass attempts and also the highest single game pass completion percentage in Jaguars history So I feel like he finished with 22 of 25, but I think he might have got to like 12 of 12 Which was absolutely incredible. I was watching that game Live and it just seemed as though he was just going from strength to strength He became a cult hero in one game, but then he came back the next week and he actually continued his form And the week after and the week after that I'm not saying the Jaguars actually won games, but as far as their quarterback performance having lost their massive signing Nick Foles He did well But this is about Drew Brees Hang on NFL best quarterback percentage racing in our game a list of Quarterbacks who've posted a perfect Passer rating to qualify during a single game a quarterback must attempt at least ten passes have zero interceptions Have a minimum completion percentage of seventy seven point five cent Blah blah blah blah blah. So that's how they work out the pass of rating a Lot of different things. What are we gonna do here? Oh? NDL no NFL best passing percentage in NFL game. Here we go. Fuck. I'm good. All right, Drew Brees Hit ninety six point seven percent in that game New Orleans Saints versus Indianapolis Colts December 16th 2019 Phillip Rivers 96.6% in 2018 Marcus Mariota 95.7% in 2018 and Gardner Minshew the second would you believe 95% in One of the first games of this year the Jacksonville Jaguars versus the Colts interesting He's not Yeah, why would you actually throw that ball did he honestly expect us receiver to go out and get that because that's a That's asking a lot Figure that was sidelined on for longer than what he did. He came back ASAP and back to routine as usual School that after missing five games with a thumb injury Drew Brees was still the most accurate passer in the NFL with a seventy four point three percent completion rate Bro, I'm sorry, but I just saw that you play for the Colts and You are the team that he got that record against But let's hear what you think about it. Yeah, you make it happen Make checks read the defense well, you don't force any passes We actually heard cooks Commentary on that block that was made in front of them by Kamara on Kamara's video. It's all coming back to me Alvin Kamara is lining up as a receiver Also, let this serve as the congratulations for the touchdown record because as you can see I'm very busy I'll have time to keep doing these videos for you congratulating you Fuck man, I've got to have a I've got to have a deep dive on On Peyton Manning. I really do it's got to happen, but I tell you what I'm excited for this one It's number eleven and believe it or not. He plays number eleven on the field, too, doesn't he? He's not Larry Fitzgerald, but he is Julio Jones plays for the Falcons not the Cardinals Although I do get the Falcons and the Cardinals mixed up still but with that being said I hope you enjoyed that one. That was my look at Drew Brees The video has probably gone about 20 well 15 to 20 minutes I start each of these videos thinking I'll get through it in five minutes. It just doesn't happen It just doesn't happen and it certainly doesn't happen when we get to the top 10 and we're almost there. Thanks for watching once again Merry Christmas, and a happy new year. The time officially is 9 58 a.m. On Thursday the 24th of December And I want to say thanks for being here Your presence is appreciated more than you know So your comments so your likes so your subscriptions you are the fuel to my YouTube fire and with that I will say goodnight