I'm Daniel Dyla. I'm on the Open Telemetry Governance Committee. I'm also a maintainer of Open Telemetry JavaScript. I've been working on it for a little over four years now, and I'm a contributor to Open Feature. Hi there. I'm Mike Beamer. I'm a product manager at Dynatrace. I'm involved in open source contributions and also a member of the Governance Committee on Open Feature. And you probably, or you may or may not have heard of Open Feature, so I'll really quickly cover what that is. It's an open specification for providing vendor-agnostic, community-driven feature flags. So it works with commercial vendors, in-house solutions, and maybe something, you know, close source, open source, whatever the case may be. There's nice integrations to management tools. And then, if you're not familiar with feature flags themselves, I just want to give a really, really quick level set here. So the main idea is it's a pivot point in your code. It's something that can be updated without a source code change or without a restart to your service themselves. So it provides a lot of benefits that we'll cover in just a second here. So the reasons you may want to use a feature flag is to help coordinate feature releases. So you can kind of help decouple a binary release from a feature release. It's really common for, like, trunk-based development. You can also reduce the risk of a feature release. You can do that in a lot of ways. One way is to control the impact radius. It's something we'll show in the demo in a little bit. But you could basically enable the feature for a subset of users, either very specifically or, like, randomly select a bucket of users to show a feature to. And then, finally, as you kind of get more, I guess, mature in your feature flag usage, you may run experiments. So you may want to have one, two, three, you know, different variations that you'd like to test. You'd like to measure that impact and then decide if it's something that you'd like to keep. But with all the benefits of feature flags, it does introduce a few challenges. So in this diagram that we have here, we're showing, like, a really highly distributed, like, microservice architecture. And so we're making lots of calls. It's already very complex, but if you start adding feature flags in there, you can change, like, code paths at runtime, something that maybe hasn't been tested. You could also have multiple flags evaluated on a single request. So it just becomes, it takes something that was complex and makes it even more complex. And so that's really where monitoring comes into play. And I'll hand it off to Dan to talk about that more. All right, so as we all know, monitoring is already critical to the deployment and running of our infrastructure. But as Mike said, with feature flags, it becomes even more complex and becomes even more important. So I'm here to talk to you a little bit about open telemetry. Open telemetry is a collection of APIs and SDKs in various languages. I think we have 13 now, maybe more, used to collect telemetry data in a vendor agnostic way so you can ship to whatever telemetry vendor that you have. There's a few basic types of telemetry signals. I'm just going to talk about events, traces, and metrics. And for the purposes of open telemetry, events and logs are more or less the same thing. They're actually transported in the same way, collected in the same way. So first I'll start with what is an event? An event is any point in time. It sounds obvious, but sometimes not. It allows for sort of arbitrary collection of any individual point in time with attributes attached to them. Attributes are used to describe your data and used together with the open telemetry semantic conventions. Your back end can understand what that data is to enable analysis later on. Events typically don't require a lot of processing on the client, which makes them very cheap to collect. But because they can be a lot of data, it can be more expensive to transport them and store them. And when you do analysis later, sometimes it can require scanning or large sets of data in order to do analysis. The second type of telemetry I'm going to talk about is traces. A trace is a collection of spans which describes a transaction in your system. A span is essentially any operation with a start and an end time. So in that way it can really be thought of as two events, the start-span event and the end-span event. Again, very similar to events, data is stored as attributes, and these are linked together in a tree structure. It does require propagation of what we call span context in order to link these all together later, which introduces a little bit of complexity on the client side and also some additional processing restrictions. But because it has very specific meaning, it allows for specific analysis types later on. And finally, we have metrics. Metrics is typically numeric data aggregated from a series of events. So for example, you have failure rates. Each individual failure may be an event, but the failure rate, which is how often they happen, is a metric. Most often you would throw away the original metrics that you collected in order to generate that metric, although not always. And typically there are some restrictions involved here. Attributes are typically more restricted. Very often you have to control your cardinality of your attributes, which is how many different values each attribute has. It can be possible to generate metrics later from events and traces, although this moves a lot of processing to the back end, which can be expensive. So here we have a quick summary. On the left we have events, and on the right we have metrics. These are sort of from more unprocessed and raw data to more processed and aggregated data with traces somewhere in the middle. And you can see on the unprocessed data there's very little client processing restrictions, and it opens up a lot of analysis options later on at the expense of storage, transport, processing, and all of that. And on the right you have aggregate data, which is more efficient from a transit and storage perspective, but because you may have thrown the original events away, you really need to know what types of analysis you want to do in advance. And in the middle we have traces. So when you're deciding which signals to use, you can ask yourself several questions, like how much data will I be collecting? If you're collecting events and logs, it may end up being a lot. If you're collecting metrics, a lot of those can be condensed down into fewer data points in order to save on processing costs. What types of analysis do you need to do later? If you don't know, events may be a good option for you because it opens up a lot of opportunities to make those decisions later down the line, although obviously you do have to store all of your events. Is your data structured or unstructured? Again, events are very flexible. Traces and metrics a little bit less so, especially as you move toward the metrics side. But if you already really know what types of analysis you're trying to do, what your data looks like, sometimes the cost savings of metrics can be helpful. And obviously, am I collecting numeric data or some other type? But most often, you want to collect more than just one signal type. As many as possible, really. Instrumenting with open telemetry is fairly easy. It varies language to language, but typically you have a resource which identifies your application. Exporters which tell your SDK where to send all of your telemetry data and how to get it to your backend. And instrumentations. Here I have the HTTP and express instrumentations as an example. Instrumentations hook into common libraries in order to generate telemetry data. But if your library is not supported or if you're doing something custom, you can always do custom telemetry as well. A good place to look for instrumentation libraries is on the open telemetry website. You can see the ecosystem tab and click on registry. You can type in the name of your library and see if there's a supported telemetry library for it. So let's hear an example. All right. Thanks, Dan. So really what I want to do now, we've kind of set the stage on what a feature flag is, what telemetry and open telemetry are, and then we really want to combine those two to make feature ruleouts safer. So what we're going to do today is we're working with this hypothetical sneaker sales shop. In this, they have a really simple architecture. They just have a couple of users. They hit a load balancer. They have the sneaker shop service and a database. And it's doing just fine. So the response times are fairly reasonable. Everything's good to go. But basically as load increases, so the site becomes more popular, they're selling more shoes, and the response time is becoming worse. So what we end up doing, we need to look into this a little bit more. So we can drill into a trace. That's referencing back to what Dan was just talking about. Looking at a distributed trace, this is just the collection of spans. It becomes quite apparent that the database is actually the culprit here. So in this case, it's almost a one-second response time for this database call. So now we know what the problem is. We know it's the database. So in this case, we're just going to add some read replicas. We'll scale horizontally this database. In order to do that, what we want to do is put the new read access behind a feature flag. We want to enable the read replica for just a small subset of users to try to control the impact radius. We're going to look at the impact using open telemetry and a couple monitoring techniques. We're going to go ahead and enable the read replica for everyone. And then it's always considered a best practice to remove the feature flag once it's no longer needed. All right. So we'll start off by adding the feature flag to your code. This is an example from Open Feature. This is using the Open Feature SDK. And I'm just going to call out here that you're seeing we have the use read replica or use dbreadreplica feature flag identifier. So this is what's referenced in the feature flag management tool that you're using. I'm also going to quickly call out context. So this is a way to supply runtime information to the feature flag system. And it allows you to use this as like a pivot point to make pretty advanced targeting rules and decisions during the runtime. And then finally we're going to use the results of the feature flag evaluation to determine which database connection we're going to use. Next, we're going to tie it back to what Dan was just referring to earlier. So Open Telemetry. Open Feature has the Open Telemetry hooks. So we're going to tap into the life cycle of a feature flag evaluation. And in this case, basically what we're doing is we're adding an Open Telemetry event. It's actually an Open Telemetry span event onto the request.  And so we'll look into that in a little bit. But it becomes a very powerful technique for detecting the impact a feature has on the rest of your system. Finally, we're going to go ahead and enable the feature. This is just showing a JSON representation of what a flag configuration may look like. Depending on the system that you use, it could be a text file or it could be a nice rich GUI in order to control this. One thing worth noting is this is the identifier, the same one that you're referencing in code. And we're also just enabling it for 25% of sessions. So we're going to start by just releasing it to just a subset of users. When we do that, unfortunately, we see that we had failures. Something went wrong. Thankfully, we only enabled it for just a subset of users, so the impact was relatively small. And because we're using feature flags, we're able to basically roll it back almost instantaneously. We didn't have a binary that we deployed that we had to redeploy the old version or something. So it's nearly instantaneous and we're able to abort it and then roll back to normal, almost instantaneous, controlling the blast radius. Now, we can go ahead and look at what went wrong. We captured all the telemetry. We can actually inspect it later. It doesn't matter if it's actively an issue. We can look back in the past to start figuring out what went wrong. So in this case, what we're doing is we're actually going to look at all of the requests to our backend and split by the different feature flags that we're looking at. The hypothesis, of course, is we enabled the feature flag and something failed. So in this example, we're looking at the traces combined with the flag evaluation to very quickly identify that it only failed when the feature flag was enabled. From there, we could look at the exception message and we could aggregate that as well. So when we start looking at something like that, it becomes really apparent that node 3 in the database was the issue, which is also why we weren't seeing any reference on failures. One thing that you may see in open telemetry is a thing called an exemplar and it's basically like a representative trace. So here, we can actually use the exemplar to see a trace that basically represents this 32 count error count failure. Drilling into the trace itself becomes very apparent and very obvious that it was indeed the issue. You can see that the database call failed and the connection refuse on database 3. So with that information, we can go ahead and work with the appropriate team. They can look at node 3, they can try to figure out what in the world went wrong and hopefully fix it. Once the issue was investigated, addressed, and we're ready to relaunch, we can go ahead and try again. So basically, in this scenario, this is the feature flags off. All the traffic's going to the old slow database connection. We're ready to go. So we enable for 25% of the users. Notice that there's no failure rates, thankfully, so we don't have to abort the rollout this time. You can also see the throughput on the read replica has increased by approximately 25% and the response time is quite stable and quite a bit faster. So that's the expected experience. So we're going to go ahead and continue out with the rollout. In this case, roughly 50% of the traffic has been split. And you can see the response times are looking stable on the read replica and decreasing on the slow database due to the lack of throughput now. Still looking good. So we go ahead and roll it out for 75% of the users. Same deal. Everything looks good to go. So we're feeling confident. We can go ahead and enable this feature for everyone.  So I'm going to hand it over to Dan to summarize what we just talked about. Yeah. So as Mike mentioned, we rolled out an important performance fix that was affecting all of our users. But we controlled the impact of problems with the potential fix to a very small number of users. We used open telemetry to monitor our assumptions both with the problem and with the fix. And then when we were confident we rolled that feature out for all of our users. And of course we'll continue to monitor impact into the future and we'll eventually clean up the future flags so that it's no longer in our system and shut down the old database. That's it. Thank you for your time. Yeah. We're happy to hear any questions if anybody has any. Yeah. What about this? Is it possible to leverage, I would say, an issue in a bug that you face on the new feature and automate the fallback to the previous version? You're talking about automated rollbacks of the feature flag. Yeah. For example, the user A is redirected to the new feature. At the first try he fails because the new feature is KO. And then with the retry button the next request that he will do could be fallback to the previous one that is working. Is it something that it could be automated or... Oh, I see. So you're saying you have a user that they go to your website, something's broken, they reload it, you want the old version. It's the second time. I'm not sure maybe Mike is probably a better person to answer what specific rules are available from that perspective. Yeah. If you look at open feature, we work with a lot of different flag management tools and it really just depends on the implementation that you use. Most of them are quite sophisticated though so you could build some pretty advanced targeting rules and then you could also, if you pair that with a telemetry tool, what you're looking at is you could detect an issue and automatically maybe change the targeting rule to minimize the impact or completely eliminate the impact. Okay. And because you don't have to redeploy, it's quick. Thank you guys. You're welcome. Hello, thank you very much. It was actually a great talk. I was asking exactly the same question on some previous open feature talk this week and then you just answered it and I'm not sure if you support this but I assume that we can do several feature flags at the same time, meaning support not as an open feature but having a telemetry on open feature flags, like including feature flags as the dimensions in your metrics. So how to fight cardinality in this case? Because assuming if you have several feature flags together multiplying by number of your machines and everything else, that will be a challenge at some point. So what are the best practices or suggestions how to run experiments and not to hit this problem and still get some valuable results? Yeah, it's a great question. So in the demo, actually, I was not using a metric that was collected. So the metric was essentially generated on read from trace information. So that's basically how you could work around a metric explosion because exactly like you said, if you basically generated a new metric on the feature flags, it's not that scalable. So that's where those things tie together. Hopefully that makes sense. Yeah, just to double-check, so this feature doesn't support metrics. I mean, you always generate only traces and then we need to post-process them. So we do both. So that was kind of what Dan was referring to. So it kind of is up to you to choose. Like if you have a sophisticated enough system to be able to analyze traces on demand and slice and dice that, it's not just about capturing more information. It's more of the discovery of the unknown unknowns.  You wouldn't be able to tie that back to individual requests, for example. And it, of course, depends how many feature flags do you have, how many variants do you have for each flag. If you have a controlled number, then you already know what the cardinality might be. If you have an unknown number, then that may be better than a metric for you. Thank you. You're welcome. In the example you showed, where you showed the error rate per surface and feature flag, is that something that's already supported by current tooling? Yeah, all the examples I showed were all real. So it really just depends on the monitoring tool that you're using. But all the data was collected with open telemetry and it just depends on kind of the sophistication and observability tool, essentially. Thank you. You're welcome. All right. Well, thanks for joining us on Friday. I appreciate it. Enjoy Paris.


This is a product intro to Twin Horn Bracket, designed for quick and easy installation of two R-Velement symmetrical horns with the exact same azimuth and elevation. Hi, I'm Mr. T, the product guy at R-Velements. In the package, you will find the body of the bracket, installation hardware and two mounts for the most common 4x4 radios, the Cambium EPMP3000 and Mimosa A5C. Twin Horn Bracket lets you aim two horn sectors at one super dense area with exactly the same azimuth and elevation. There are many ways to use Twin Horn Bracket with two horns. You may be looking to add more capacity to your existing sector and use a different channel with each antenna. Remember, symmetrical horns cover 1,300 megahertz of bandwidth. With the additional channel, you may even decide to use a different radio platform, offering higher grade service for the interested customers. Maybe you want to have a simple and elegant solution for a redundant access point on a site. With Twin Horn Bracket and additional horn, it's a very easy and economical solution. The combinations of horns, interfaces and radios are almost endless. Let's have a look at the few most common ones. The R-Velement symmetrical horns come with the twist port and end connector interfaces. Using Twin Horn Bracket with the twist port horns, you have two options. First, you can use the SMA adapters to connect them to the radio with the pigtails. If you're using EMP 3000 or Mimosa A5C radios, you can mount them directly on the bracket. Any other 4x4 or 2x2 radios must be mounted on a tower. Second option is to use twist port adapters we offer for Cambium, Ubiquiti, Mimosa and Microtik radios. But make sure beforehand there is enough space to fit two twist port adapters with the radios. Sometimes the install might be a little too tight for your liking or even impossible. Make sure to check the product webpage for full details. If you have symmetrical horns with the end connectors, the installation is straightforward. Use any of the two bracket profiles for the four connector radios or any other radio attached to the tower. Before climbing the tower, it's a good idea to attach the antennas to the bracket body while on the ground. The comfortable handle makes it easy to attach the bracket to a carbine and then clip to your harness. Install the pole mounted on the tower and slide the bracket in the position. Now you can adjust the aiming. The azimuth and elevation measures are easy to read. Once done, simply tighten the azimuth and elevation bolts and you're ready to rock.


What's up, Navigation Traders? Welcome to this week's video update. Today's Friday, March 29th. We're gonna be reviewing our trades for the week. This is exclusively for our pro members. Before we do that, let's jump into the community and discuss who got caught being hot this week. Each week, we'd like to recognize one member of the community. This week goes to our friend Brent Crowley. Brent sent over a spreadsheet that he personally worked on himself. This includes some pivot tables. In fact, let me give you a quick sneak peek. This is what it looks like. So this is all of our closed trades going all the way back to when we first started posting in June of 2017, all the way through. So the cool thing about this table is we can simply add them to the end and it updates all these other tables which break down all the strategy. Breaks it down by strategy. Breaks it down whether it's a future versus a non-future symbol. Breaks it down by symbols to give you kind of the overall profits per symbol. Breaks it down by strategy so you can get an idea of what the total profits were per strategy and then also average profit per strategy. So some pretty cool stuff. I wanna take it even a step further here and kind of break it down by month and year and we'll do some other cool stuff with it and this is something that I will share with you all as well. But big shout out to Brent. Thanks for putting that together, Brent. You got caught being hot. All right, let's jump into the alerts for the week. If we take a look starting with Monday the 25th was our first alert and that was an opening adjusting trade in ZN which is the notes. So we just added a short strangle in the notes and implied volatility on TLT got up to 85, IEF was at 61 and so we just went ahead and added to this. So if we take a look at ZN, you can see earlier this week, Wednesday, the Fed came out and said that they are holding steady on rates so they did not increase rates and that was positive for the bond market, bond and note market so you saw that it shot up. Now it's kind of retraced the last couple of days but that's where we are in the notes. So we've got two pieces on here. We've got our straddle here that we adjusted into after price moved up, reached our break even, we rolled up our untested side which in this case was the puts and so this is what that looks like here. Price has moved up since then so we need a little bit of downside movement in the notes to get back into range there and then we've also got our, this is the alert that we sent out so this is the short strangle so we just added some more credit trying to work our way out of that one. So that one's dead centered, nothing to do there except for weight at this point. Next trade was an opening adjusting trade in DIA so we added an iron condor in DIA. You know we've had kind of those short call verticals that were originally part of iron condors and we've got one of those on left which is this here so we could use a little bit of downside to get back into range there but then we went ahead and added an iron condor on here because implied volatility did spike earlier this week and price has moved up a little bit since then but still well within range here on our iron condor so just continuing to hold that at this point. Next trade was a rolling adjusting trade in CL which is oil so we're getting down to that 21 days to expiration so when we have uncovered options, naked options we like to roll those when we get down to around that 21 days because the risk, the gamma starts to accelerate at that point and so we went ahead and rolled out to June with 51 days and so what we did here is price moved higher so we just adjusted our puts up from 56 to 58 so we had the 56 straddle we just rolled our puts up two strikes and so now we've got the minus 58 puts and the minus 56 calls in June. Before we go to the platform let me just skip up to today because we did another roll in CL as well so we had two pieces on in oil so that was the first one. Our second piece was still in May but we just gave it a few days to kind of spread out these rolls so at this point we were 18 days to expiration and with this one we just rolled kept basically the same strikes the only difference is because we already had the minus 58 put in June we just chose the 57 and a half so that we didn't overlap there so now we've got the 53 call and the 57 and a half put in June as well so let's go to the platform I will hopefully tie that together for ya so these are the two pieces so we've got the 53, let me reset this so I can check the correct boxes so we've got the 53 call and the 57 and a half put okay so that's this one here price is hanging out in the upper end of the range so definitely could use some downside in oil to get back there you know I was hoping earlier this week you know when we came down here I mean if we just went down another dollar or so I mean we literally could have been out of these trades with a profit that's how close we are course price ripped back higher so we just we need to stay in it and extend duration but we're pretty close in this one after that huge massive move that we battled out of almost I mean we were that far away from even getting out this week at a profit but I think we'll still be able to manage just fine so anyway let me go back to the analyze tab so that's that piece and then our other one which was a 56 straddle and now is a 56 call 58 put price is hanging out right here so again just a little bit of a you know a couple moves down to a couple points down to 58 or 57 I mean we're gonna be in really good shape on this trade obviously if price does continue higher we'll stay mechanical continue to roll our positions roll our untested side and do exactly like we teach in the course alright so let me jump back here back in the line back into order so there's that oil next one was a closing adjusting trade in wheat so we had on two different iron condors price moved higher and so we closed out the put vertical side of one of those iron condors so we're still holding the call side and so if we go to wheat let's take a look at that piece first which would be this one here so price came out breached our break even now prices come all the way back into range the last couple days nice move down into wheat so if we get down to about 450 we'll just take this one off book a profit overall on that piece and then we're still holding this iron condor here where we've got some profit but not enough to take off yet so just holding on at this point to wheat next trade was a closing trade in TLT so ended up taking a loss on this one just cutting losses couple reasons one when I showed you the notes I already mentioned that the Fed came out and held steady on rates okay so really the wind at the back is really to the upside on notes and bonds now there's nothing that says in the short term for sure that this thing can come down but you know I just my personal assumption anticipation is that notes and bonds will you know if they do come back a little bit they will continue to the upside but you know who knows that I could definitely be wrong but I like to play with things with the wind at my back a little bit and at this point wind is at the back of higher prices in notes and bonds and the fact is we've already got exposure in the notes you know so I didn't want that much short exposure and when I say short exposure that one's pretty delta neutral but remember what I showed you here on this piece on the straddle we're bearish here right we need that to move down as well so those couple things in conjunction you know with what the Fed did you know I just didn't want that much exposure short exposure in the notes and bonds together and so for that reason I cut loose TLT and just took a loss on that one so it was about $875 a loss so not a good one not one that I like to do I did get a question in the community about hey you know can't why didn't we or why you know can't we roll this yeah absolutely you certainly could extend duration but again I just didn't want to keep that short exposure in that category at this point next trade was an opening adjusting trade in IWM and that's the Russell 2000 so we just added an iron condor in IWM applied volatility percentile spiked up to 62 at that point and so we went ahead and added that one on so if we take a look at IWM here is what that looks like and today we took off our other one for a profit so this is the alert we sent out this is the new one that we added so price still pretty centered not looking to do anything here except for weight on that one next trade was a closing trade in FXI so we booked our iron condor there booked around 30% of max profit on that trade remember that was a pretty tight iron condor so we weren't waiting for the full 40% there or 50% we went ahead and booked 30 on that and implied volatility contracted you know down at the level of 10 so we went ahead and closed that out booked a nice profit there next trade was a rolling adjusting trade in XRT which is the retail ETF and so we just rolled our short strangle from April got down to that 21 days to expiration rolled it out to May with 50 kept our strikes exactly the same you know I just mentioned we need lower prices here and we're not going to add to this because implied volatility is fairly low you can see the IV percentile at that time was 15 if we take a look at XRT it has moved down a little bit since that roll just looking for a little bit more downside to benefit that and of course if implied volatility does pick up in there we would potentially add to this but I mean look at this it's gotten even lower IV percentile of two IV rank of four so definitely not looking to add to that one at this point next one rolling adjusting trade in SMH this was a very similar position where we had an inverted strangle we just rolled this out from April to May we were down under that 21 days to expiration we were at 20 so we kept the strikes the same and then we've also got another set of short strangles in April so that's under 21 days to expiration as well but we just want to spread out these rolls we don't want to do it all on one day and so that's where we're at here let's take a look at SMH so we've got these two pieces on we've got the one that we just rolled out to May and that's this one here so you can see price is kind of hanging out in the upper end of the range we just need a little bit of down movement to get back into good shape there and then this one here has not been adjusted and this one's still in April now what I'm hoping happens is that we just get all we need is a little tiny move into early next week and we'll just go ahead and close this one out and book it if it does continue higher early next week however we'll roll up the puts and roll out to May so we'll roll up the puts to around the 30 delta and then we'll roll that out to May to extend duration on the trade obviously the best would be if it just moved a little move down we went ahead and booked that got out of it and then just kept our other piece that's already in May so we'll see what happens and next trade rolling adjusting trade in CL I already went over that one that was the second piece in oil that we rolled and then lastly today our closing adjusting trade in IWM where we closed out that other iron condor booked over 45% of max profit on that piece of the trade and I already showed you IWM on the charts all right so those are all the alerts let's take a look at some of our other positions starting with four slash six B which is the British pound now applied volatility has stayed high in here because there is still some fear or uncertainty I should say around the whole Brexit issue that's going on in Europe and the UK the date has been extended on the final decision of that so if we look at FXB which is the corresponding ETF you can see I mean look at this implied volatility it's been high for a long time which has been good to trade with but we need a little bit of a contraction here to get back to profits in six B we're basically at break even on the trade overall but looking to get some profits I mentioned CL ES we've got this long put vertical that we're just holding for that short delta exposure speaking of short delta we are at about two to one on our short delta versus theta ratio so decent little position there I mean right where we want to be I mean two to three to one either two to one or three to one is ideal remember we fluctuate within that range of between one to one and five to one typically but we're in good shape on our overall ratio there Natty gas we need some upside movement in that gas here are two pieces combined if we break these up and take a look here's the first one you can see prices hanging out here down here that lower end of the range if we look at just the calls what you'll see is we still got a decent amount of premium so nothing, no urgency to adjust that yet and then here's the other piece where prices is down here out of range if we take a look at just the calls here again we've got a little bit of wiggle room to let it go if it does continue lower we will continue to stay mechanical roll down those calls and just continue to play the game I mentioned ZN, mentioned ZW I mentioned DIA, Disney we've got a short strangle on in Disney dead centered got some profit just waiting for some more before we take that off EEM, we've got this short call vertical we're basically at break even on the trade overall even after a couple of adjustments so just looking for a little bit of downside if we can get down to 41.5 bucks just couple bucks lower, buck and a half lower we can book a nice profit here of over $400 on the trade but we need that downside I was hoping we were earlier this week we were down here I was hoping we were gonna just continue to roll over but of course popped a ted up and now we're back here to our break even point on the trade so just continuing to wait there EWZ got a short strangle on here implied volatility spiked higher earlier this week sold some premium we've got a little bit of profit here but not quite enough to take off I mentioned IWM IYR we've got this tight iron condor now this is one where we could have adjusted today I looked at it to adjust but figured I'd give it over the weekend see if we can get a little bit more downside get back into range here if we take a look at just our untested side you can see a lot of that premium sucked out of there but we still have a little bit of room a little bit of leeway to let this go and that's why I just held it over the weekend hopefully we get back into range early next week if not we will close out the untested side as far as the implied volatility yeah it's creeping back down again so probably would not be looking to add to this unless implied volatility popped higher J&J I looked at getting out of this one for a profit of a couple hundred dollars but we really were looking for at least 20% we're at about $250 of profit unfortunately it's come down a little bit since then with implied volatility contracting but if we can get a quick pop higher into early next week we'll go ahead and take this one off NVIDIA NVIDIA this one's been kind of frustrating price was way down here we almost had to adjust to this side and then it ripped back higher as it dead centered but we didn't quite have enough profit at that time to take it off and now it's ripped even higher now hanging out in the upper end of the range so if we can just get a little bit of a downside movement back down to about the 170 level we should be able to book a nice profit here obviously if it continues higher we'll close out the untested side and see what happens you know there is not earnings coming up anytime soon so we don't have to worry about that for a while so we've got some time in NVIDIA we are in the April cycle so we've got 20 days there so got some time hopefully we get a little bit of downside in NVIDIA and we can book that one QQQ we've got these two sets of short call verticals one of them just out of range here so looking for some downside to benefit that the other is in the profit but just waiting for some more before we do anything there so holding those for that short delta exposure I mentioned SMH SPY we've got an iron condor here spread this out so you can see it a little bit better price is hanging out up here in the upper end of the range so a little bit more theta decay a little bit of downside movement would benefit that XLK need some downside to get back into range here this is a long put vertical that we put on specifically for that short delta exposure and we've rolled a couple times and so just continuing to hold that one at this point and XRT I mentioned that one just looking for a little bit of downside more time to pass before we do anything there so those are all the alerts those are all the trades the other thing I was gonna show you guys is in the members area if you look at current portfolio I've started adding the image of the actual analyzed tab so if you scroll down here as we kinda make these adjustments and add trades we're adding that in you'll see a couple that still don't have it cause we haven't made an adjustment yet or anything but hopefully that's helpful one thing we were planning on putting the current portfolio and the closed trades and everything in the community the problem is unfortunately with that platform it does not allow us to post things without members being able to comment and when you comment kinda brings it up to the beginning of the string and so we're looking for a way to be able to post those so they're just static so that members can view them without posting on them and kinda messing up the order so we're working on that but for now it's gonna stay in the members area so if you need to go back into the current portfolio and ever view these figure out where exactly we're at on the trade it is all there so hopefully that's helpful everybody have a great weekend look forward to another great weekend of trading next week somebody bring us some high implied volatility we need it have a good weekend everybody talk to you soon


Hello, welcome back Mark Risen Hopkins here at South by Southwest 2011 and I'm here with Nick Dukoff from info chimps Where I'm from I'm pretty familiar with because I'm a Texan and I hear about these guys all the time You may or may not you should probably should know who these people are, but if you're not Nick I was gonna have you start off with a little bit of an elevator pitch talk about what your company does and Acquaint them. I hope hopefully they can hear you over the whatever that is a keynote or contest whatever's going on out there So sure, thank you info chimps is a marketplace to find share and build on data We have two big customer bases one is the developer community, which we're just really focused on making it super easy for developers to build applications You know an application is really two things right? It's code and it's a database and There's lots of folks out there that help developers get access to code such as github But there's really not a centralized repository for structured information data, and so that's what we're building and We're really excited about it The other part of our business is our marketplace where we have data sets that are published and can be downloaded as flat files So if you're you know mom-and-pop or you know non-technical user and you know data for you is you know Viewable in Microsoft Excel That's you know, that's the place for you the beautiful thing is it's all found at the same place, and that's info chimps.com So I was gonna I was gonna talk a little bit about your recent announcement Michelle the former contributor to Silicon angle if you're watching this video you probably know who Michelle Greer is has been Excitedly talking and hushed tones don't tell anybody till we announced but check to look at this is really cool Your API Explorer and the launch of is it 1000 API is 1000 2000 data sets so I I've I've never really dug as deep into your data sets as I have in the last couple of weeks while you've been turning on the API Explorer and uploading these new things. So tell me tell me first of all about The broadly about the data sets and the API Explorer and how all that works And then we'll dive deeper into a couple of these that are really cool Thanks, and you know sorry to steal Michelle from you But she's a rock star and we love her so we recently published 2000 new API calls and You know that that's pretty exciting for us We're trying to make you know as much data is available in one place as there is on the internet and these 2000 API calls range from social media data to weather data to stock data and Really, you know our our key focus here was just to try to think of what are the building blocks for an application? How can we provide just data sets that you know can inspire developers to build applications without ever having to bring data down onto their own server? The the API Explorer makes it super easy for anybody to come and see you know after they pass through an input What what the output looks like within their web browser? So they don't have to go and start coding to figure out what the output is going to look like they can you know Get a few samples right there in the browser so the And as someone who is a lightweight developer these days, but Was a heavy coder back in my earlier days The API Explorer is what really makes it real in my opinion coming because you can you look at the documentation all day long and We spoke to Somebody earlier today that's in the documentation business and you soon as you hear that you know snore right you know I don't want to Some as either you're thinking about it something has to write the documentation Which is a which is a big task always or someone's got to read it unless you need it like five minutes ago You you're not gonna be hitting the books. So but being able to just see a little box and like okay Here's what I put into this box And hit the button and see what comes out the other end. That's what makes it real So that that's I think something that makes what you guys are doing pretty exciting now, but one of the ones that Michelle showed me Was Quirley Which is another company that uses you as the platform to publish the data and the API And so talk a little bit about what Quirley does I can see a hundred uses for this For applications we're developing so talk a little bit about what that does and and in depth about as much depth as you can About how they get their data and all that so Quirley is a company run by Max Niederhofer based in London, UK and He was previously at Atlas ventures. He was a VC, you know came back to the bright side of things and Started his own company. What clearly does is a database across social identities. So, you know, who are you online? Who am I online? I'm Nick Dukoff on Twitter. I'm slash Dukoff on Facebook. I'm Slash Nick dash Dukoff on LinkedIn and you know, it's hard to sometimes find in a programmatic fashion You know all of the identities for a person online and so what Quirley's done is you can pass through whatever you've got Twitter handle or Facebook account or a LinkedIn account and it will help map across all of the other social networks and help you find your Flickr account the YouTube account, you know your LinkedIn account so that You know developers can help build, you know any number of applications Yeah, we deal we're based out of the Cloudera office our Palo Alto group is based out of Cloudera office so a lot of what we do is using Hadoop to bring structure into unstructured data and I end up that API right there. I think saved us probably about three months worth of development on one aspect So we're gonna be using it. Just just so you know, but I mean just being able to surface surface content in a way that Like being able to access, you know, you know the people that are around it like an event by South South by Southwest You can troll feeds find people that are there at South by Southwest But you don't always have access to all the content they're publishing because they may not have an auto feed going But you know with something like Quirley you can pull all their other feeds And then you know just just filter it based on location or date range or whatever it is you're doing and Really come up with something useful You know to speak a little bit about what they do and I'm happy to also introduce you to Max He he's coming into Austin for South by Southwest But I hope you get it through us and not and not them but So what Max does is you know, they use indicators You know strong links across your various profiles to see okay is at Nick Dukoff Really the same guy as Facebook slash Nick Dukoff, right, you know Am I linking to my Facebook profile from my Twitter profile or you know in my Facebook? I mentioned you know back to my Twitter profile or my about me profile or something else right so that they can see okay Well is this person really this this person? Well, and then this kind of links into the the other just the other API We were discussing earlier, which is the Twitter profile search that combined with maybe the Quirley search would be a great way of surfacing Like authority nodes on you know amongst content providers. So talk about the differences between Twitter's native Profile search we did we ran it on Batman Batman comics my thing and Versus the the the profile search that you guys have sure so we're really moving to having You know the data store of choice for us is elastic search It's an incredibly powerful tool that allows you to do Essentially boolean searches across large data files For instance the Twitter profile search is a hunt across a hundred million nodes And what we've got now is the ability to search across those hundred million users You know with the keywords that they use in their profile and that can be you know obviously name it can be How they describe themselves what they like where even they're from Twitter the way that they do it based on just a couple searches that we ran it looks like they have some kind of method of looking both at the tweets themselves as well as potentially other keywords around What you do in China in character Gotham news and all kinds of crazy stuff Nothing none of it had to do with Batman comics per se other than you know loosely associated with Batman So I guess if you're into that you know there you go But if you want an exact match this would be the way to go so So it's not all social data you've got I know there's some sports related ones in there. There's the raw Word searches it was at the British Corpus National Corpus You've got a couple other ones that escaped me at moment just a well about 2,000 of them, but so Lots of interesting data to be able to search Excuse me so Let's Let's look a little bit broader Where did you guys? Where was the inspiration for this? What was the aha moment because big data is this is the Is a focus for us editorially for the next foreseeable future whatever that ends up being Because we we we covered a couple conferences recently strata Hadoop Amazing viewership that we were just talking about the the concepts behind big data and it resonated with both our consumer-oriented audiences developers of course, but also enterprise because big data is something that affects them too and It's not just all about social and mobile and you know the fun stuff that Mashable and the tech crunch and the web Tube logs like to talk about but it's it's it's crossed over at it. So What was your aha moment that led you to pursue the path that that info chimps has because you're your positioned At a good nexus for enterprise and all the consumer facing data stores So just just talk a little bit about that journey sure So flip chrome or another one of our co-founders in CTO was pursuing his PhD in physics at UT And in the course of his research, you know spent a lot of time, you know finding and munging data The the kind of aha moment for him was it's a pain in the butt to find data online You know Google does a wonderful job of indexing, you know blobs unstructured information on webpages But they don't do a great job of indexing structured information and so flip set out to solve this problem and Asked around his his fellow PhD candidates if anybody might be interested in pursuing pursuing this This this mission and found drew Bancel who was also pursuing his PhD to come along Join the info chimps team and kind of from there, you know, we've built up to 15 chimps Trying to democratize access to structured information So talk about the process of like data sanitization I know it's a mix of of automated and hand hand washing of the data. So if you can Talk about that it may be part of your secret sauce, but if you can talk a little about that process I'd like to learn more sure so one of our kind of core philosophies is we take data and we publish it in a structured format We don't necessarily cleanse it when there's clearly articulated demand for a very high quality data set either We'll find it either through a third-party supplier or we'll build it ourselves But unless there's clearly articulated demand we publish it the same way that we find it The only change that we make is we identify columns and rows so that you can make you know in a machine readable format Okay, but and also part of the role is is documentation of that which is which is your next big But you can only do with 15 people do too so much at one time so you've got all the data published and Part of that role is actually making it searchable curated and findable. Yeah So we absolutely want to continue to work on cleaning up the metadata, you know around the data One of the things that we've been working on is a unified format of metadata And so that's something that we're pretty far along on and really excited about and I think it will really help With scalability because you know our data team can ingest data, you know pretty quickly at this point You know we're pulling in you know hundreds of gigabytes a week or more probably closer to terabytes a week and But you know we got to make sure that we keep up with respect to you know Documentation like you were saying and making it easily findable or we end up in the same place that we were before we started input chimps, right? And so what we've done is we've loaded all of the metadata into elastic search as well as some of the data So that you know we obviously our search algorithm is part of our special sauce But we try to make you know the data set that's most relevant to you adjacent To the data that you either have or otherwise we're looking for So search search is really becoming Everything old is new again that's like a one of the themes is people going back to search and reapplying it to problems that Google, you know doesn't need to to work on right Google is everybody thinks Google has solved search and I think they'll probably be the first to tell you that we got 95% of it down But I think it may be more than that really because there's so many different aspects of search That haven't been tackled. I mean you've got the semantic side. You've got Different different organizations that are trying to patch holes in Micro site search, you know or or white listed Topic specific search and you're you working on a couple different approaches to structured data search so That's that's one of the things I'm seeing is emergent theme what just Stepping back. I mean you've been I guess it's been like a day and a half here in South by Southwest, but you've probably been exposed to The prep a little bit longer than I have being local to Austin. What's what are some of the themes you're seeing emerge out of the conference here? so, you know It's all about location, right? You know, you know Location local and you know the data that powers that and so with respect to location, you know one of the important themes is You know places where am I standing right now? And there's a number of folks out there that you know might even tell you different things about where you're standing and So over the next couple months, we're pretty excited to announce some partnerships that you know will save for another story To really make it easy for developers to build location-based applications and obviously a big part of that will be You know retail inventory and and other things about where you are right happy hour specials You know all the other ratings and reviews, you know all the kinds of stuff that folks ask for all the time You know, can you scrape city surge? Can you scrape yelp and you know? We won't necessarily but we'll work with a lot of folks who have similar databases or those companies themselves to make it available to our developer community so one of the yeah, so that's a good positioning to delve into a little bit because I think that the fear is with Companies that sit in a position you do Where you envelop so much of of an ecosystem is that you will compete with that ecosystem eventually we see it with Twitter We see it with Facebook And you know those evangelists for those those organizations will tell you okay. We're not really competing, but we know they are I mean either they are or they're just really bad at communicating how they don't want to communicate compete with their own ecosystem so that you Leave the data sanitization scraping and otherwise organizing to other people and you're just Organizing the organization of the data that that's a that's an interesting point to elaborate on You know for instance a good number of those 2000 data sets where we took factual corpus of data sets and Published them as API's right, so we took what was you know structured data and made it Published in an application programming interface, right? And that was something that hadn't been done before and now it's even easier to build on top of those databases, right? So, you know they existed in the wild and we just made them easier to find and easier to access and that's really what we're what we're trying to do Very cool stuff big data a theme search a theme South by Southwest 2011. I'm Mark Rosen Hopkins We've been chatting with info chimps, so Accompanied to watch keep an eye on these guys play with the API Explorer I can't I am I'm not being paid by these guys to say this. I just really like it. I played with it And I really like it, so I think you should too Stay tuned to silicon angle console can angle TV will have more coverage coming out of the conference So don't go away


Listen man, welcome to a new season of where's wild old man is going down man. I got the one, the only, the butcher Buffalo listen man Buffalo's finance man, Benny the butcher man.  It's coming soon. Yes, sir. How was the journey? See, because a lot of people said, Reselda, what they on? They on some back in the day. It's not going to work, y'all bigger than ever, right, right, right. How do it feel? Man, you know, my daughter asked me that today. It feels great knowing that I put in the work for it, knowing that I wasn't handed it, knowing that I put in the pain for it. Yeah. It's a different type of feeling, you know what I'm saying? And what is the work? What do the work consist of? Man, honestly, I gave my whole life to this. I put this before my family. I put this before my children at times. I knew it was my place. I put this before my ego. I put this before my pride. You know, I just fell in my pocket. A lot of things that people are not prepared to do, that's why a lot of people don't make it here because you know this shit, you got to put everything aside and chase what you want.  So it's like, that's major. Your first release with him, you on Spotify, 2.2 million monthly listeners. And that's all independent work because the music ain't even getting in the system yet for real. It starts showing what the numbers is doing. How did you build that up? How did you build your following up? How did you build the movement up? Because Griselda is a whole got a movement, but each one of y'all got your own thing going on. Right, right, right. And that's important because a lot of people think West Side Guns said, yo, this is my little cousin, Benny, listen to him. No. And it happened. No. Man, my Spotify page, it was artists who I know who was doing shows, who I know who had a green like to go to their shows. And I was just going to their shows just to get that picture, even if I was performing or not. I remember when Uncle Murder came to Binghamton in 20, this had to be 2016, and I was already on fire in the city. I just took that three hour drive because I would murder just to take the picture just so I could post it so people could see that I'm working.  So built that Spotify page up from nothing. And that's one of my most proudest accomplishments. My Spotify page, my YouTube page, you can say that I built up from nothing. When both of them was at 10,000, I feel successful already, you know what I'm saying?  But you talk about two platforms, what is the importance of them platforms? It's definitely important because everybody iTunes this, iTunes that, don't forget there's Tidal, there's Amazon Music, and there's YouTube, artists, build your YouTube channel up, build your YouTube channel up. Stop worrying about just Instagram, you know what I mean? Stop worrying about going to get that fit just to post on Instagram. Build your YouTube page up. And I did that just by putting out content, anything. I remember like going shopping with my wife and she taking so long. So I'm in the park a lot and I just do a video. I had her daughter shoot the video, my stepdaughter. I had her shoot the video on how I started BSF just talking about it. Just to see what my connection was like, just to see how many views it got. And what did it do? It did good.  And she shot this with a phone? Yeah, and a phone in a parking lot of Strokers, you know what I'm saying? You just was on the whip.  That's different than New York, New York. How did y'all just kept fighting through all the naysayers, all the hate? You know what I mean? For one, somebody asked me that today. For one, we just knew he was good at it.  Been a state president, been a federal president. I bring everything back to drug dealer. If you good dope sell itself. We all know that. I just knew I was good at it. West knew he was good at it. Conway knew he was good at it. So even if we weren't getting the kind of traction we were looking for, hoping, praying for, we knew he was good at it. And we knew one day if we stay at it, one day it'll come, you feel what I'm saying? So just staying at it. And I mean driving the nail in the coffin, you know what I'm saying? But you were Emmy Award when a Grammy nominated artist. How do that feel? Because again, prices change when Grammy nominated coming to. Talk about it. The prices change. Yesterday's price ain't today's price. So it changed.   Exactly. It means everything to me. You know what I'm saying? It kind of almost, I know I earned it, but I won it over Eli Manning and Derek Jeter kind of feel like I grinched it. I took it. It's just the culture. You know, our culture is worth everything. Our culture drives everything. So it feels good and it feels like the proof is in the pudding. You know what I'm saying? Emmy, Emmy winning, a Grammy nominated. It just feel like I'm doing the right thing. I'm moving in the right direction. Now, when you went in to make this album, what was on your mind? Because the title is extremely powerful. Everybody can't go. What was on your mind? What experience you went through from Benny the Butcher trying to come up out of Buffalo to now Benny the Butcher, you know, highly streamed artists, popular artists, Grammy nominated. What was the journey about that for made you just to be in your mind? I said that everybody can't go. Man, on this journey, I gave a lot to everybody. Yeah, you know what I'm saying? And you know how it be. Like you were given when you're blessed to have things, you'll get somebody $5,000 or $10,000.  But that journey is I gave everything to it.  So everybody can't go is about the people who I tried to pull up who didn't adhere to the opportunity. Because that's what I did. Imagine, imagine me calling West Side Gun Phone trying to borrow money.  Him and my mama is first cousins. Him and my brother is first cousins. That I wouldn't be here.  I can't deal with him. So I had to get had to give everything for this. And that journey is about, you know, I'm from a hood. I'm from Montana Avenue. There's a hood where camaraderie comes from. And a lot of people feel like I owe them something, not even from the hood. I say that to say I'm from the hood because I'm from a place where we all stick together. So a lot of people feel like my success is theirs and it is in a certain way. But you know, you share your wins with people, but you don't share your losses with people. You feel what I'm saying? So everybody can't go is about me, me not even really sharing the wins no more to be honest with you, to be frank with you. And I'm saying is that I'm being selfish at this point, you know what I'm saying? Because I gave a lot of myself up because I felt guilty. You know, that survivor's remorse when we come from the projects and we have these things and we're a lot of these opportunities I feel guilty for. So I try to put people in certain positions that I knew they weren't ready for.  So it's about all of that. You know what I'm saying? I'm on what I'm on. And if you can't and if you can't get with that, if you're not happy just for me being where I'm at and not about what you can get out of it is. All right, now it seemed like when you when you survive the side effects of success is once nobody can use you no more, you fake you Hollywood. And it's not about the the 15 or the 22 cash at request that you say yes to. Right, right, right. Now when you say no, you're not real. And did you go through that struggle and hell, yeah, hell, yeah.  I don't got to run it down, you know what I'm saying? I'm I'm I'm I'm that guy, you know, it's certain people who done favors for me before I was in the shoes that I'm in now. But I done everything that I could to to to to to make it even or feel like I'm with you to feel like I'm trying to help you. But you know, I'm saying, you know, it's different. This is different type of hustle, you know, yeah, this ain't standing on a corner selling dimes. This ain't running up and people raven a gun. This is different type of hustle where your mind need to be right. Your attitude need to be right. Energy, your ego need to be in check. This is different type of hustle. And a lot of people from where we from can adapt to that. And it's not our fault. It's just it is what it is. Now, when you wanted to make it his album, right? Mm hmm. Who, you know, who's on the production? Any features you want to talk about or you want to save them and surprise the people? Uh, I definitely want to tell them about Alchemist and Derringer on a production. Those guys been my. They've been there for day one day one, you know what I'm saying?  Al, tell me what he hears over the beat. Same thing with a hit boy. And these guys, the first time I work with Al, I go to a studio.  These guys got plaques on the wall. It's like I'm a little old me. I'm trying to, you know what I'm saying? I'm trying to live up to their expectations. But one feature I'm proud about Snoop, man. Y'all know Snoop on the album, man. Snoop helped me get at Def Jam and he's on the album. Snoop is my mama's favorite rapper, you understand? So when things like that happen, I understand where I'm at in time and what's going on. Because sometimes you're so busy working, churning at it. You don't stop to smell the flowers. You don't realize what's going on where you at. And having a feature from Snoop and the things that he's saying on my record, I realize where I'm at and what's going on. What was the importance of leveling up and stepping to Def Jam? Because you were successful and independent.  You went around here. Everything's right. Family right. Change right. You got the whole aesthetics of a successful artist and you were independent. So why say I'm going major? Honestly, to be more successful. Okay, break that down. To be more successful is that, you know, these major labels have different reach. We're underground. Griselda, not only underground, but boom-bap underground. So that puts us in another dusty corner. Yeah.  So I wanted to, I wanted to buy this life.  They got a machine, a global machine, global machine. And the hustlers that we are, I'm sitting back learning everything. Oh, that's what you're supposed to do. Oh, this is who you're supposed to call. Oh, this is who you're supposed to call. Oh, this is a department? I didn't know you had a VR department. I didn't know you had. Exactly. Like I stood in the kitchen and watched my OGs play with that fork. Exactly. I'm watching Dev Jan play with the fork. That's it. Oh, I watched Wes play with the fork on both ends. You know what I'm saying? Shout out Wes and Conway. But I'm watching these players play with the fork and seeing the moves that I need to make and maybe seeing the moves that I don't need to make, you know what I'm saying? I'm just paying attention to this and I'm learning and grinding. But I did it because the buy this life to, you know, Wes and Conway did it. That's my blueprint. West Side Gun and Conway, those are my blueprints. They did it when they, when they ushered us in with Shady with the, what was she gonna do? So I feel like, you know, I'm going to do my part. Go get this major bag. Go get this major play. And it's a bigger play for Griselda and it's a bigger play for Buffalo. Benny the Butcher and my family, you know what I'm saying? Yeah.  At all. We not. Y'all not.  We not. We not. Y'all not underground no more. I was on a Travis Scott album. What? See, y'all the real, y'all out here. Like y'all got real, like, it's people that's coming. Y'all don't, y'all ain't paying for no feed. Just people that's coming. No, can you get on my stuff and I jump on your stuff? Like it ain't like they really respecting the art that y'all putting down. Y'all killing them with the merch. I'm talking about y'all doing all vinyl, y'all doing all type of stuff that people wouldn't even thought exists. Exactly. I'm talking about making serious bags off the merch and building real businesses.  Ain't y'all laying a blueprint for the youngest that's coming after us. You know, how do you feel about that? I feel like I understand the opportunity that's in front of me.  I got my daughter watching me, my daughter 18. And I'm saying my stepdaughter, 25. Mother stepdaughter, 13. I got these young girls watching me, seeing what I'm doing. Judging me off this, you know, WeMails is very judgmental and they are very observant watching my move. So it's important. I'm so blessed and thankful that I became a, I became a, I became somebody in my family that they can look up to. That's important to me because I didn't have nobody like that in my immediate family, you know what I'm saying? That I could see or pick up the phone and call every day. So it's important to me that I became this figure that we're successful like this, that I can give back to my, took my whole family to Disney World last year, man. That's major. That's major, you know what I'm saying?  Yeah. Like, like, what are you doing driving this car? You know what I'm saying? Like, what are you doing living in this house by the grace of God and by a hard work? I'm going to say this. Griselda has already won the Superbowl for Buffalo. Yes. But is Buffalo Bill's going to win the Superbowl? Man, I don't know, man. I don't know. And, and, and, I don't know. Y'all know I'm a die hard Bill's fan.  I don't f*** with Philly. I know the Eagles. Yeah, Eagles. I will go to anybody's stadium. I'm not going to Philadelphia. What? I'm not getting into no scuffle with y'all because I'm a die hard fan and I know y'all are the only people to remind me of Bill's fans. I'm not going there.  So I'm just not going. I'm going to watch it on TV. But Dion, is we going to win? Josh, is we going to win? Steph, are we going to win? That's the question they're asking me. I'm asking y'all, is we going to win? Now listen, at the end of the day, before we leave, right? Mm-hmm. That's just, do you got a gift, right? Mm-hmm. To that cat that's coming up, that's trying to figure out this music and don't know. Because you said, when you got Wagazi in them, it wasn't no roadmap to this. It wasn't no instructions.  Right, right, right, right.  Stick to the people you could learn from. You know what I'm saying? The people you could learn from might not always be the coolest people that hang around. So the what? Stick to the people you could learn from. Stick to the positive people. When I did this, I flew from Buffalo to Atlanta. I left all my dope Dylan Robbins still in homies home. I called them, talked to them, let them know. Yeah, I'm in the studio. But you gotta be around positive energy. Sometimes positive energy is that ain't always fun for us because we knuckleheads.  Be around that positive energy, man. It's a jewel in that positive energy. You know the people who around you who doing things, you could tell, who got the nice car, who got the nice house, you could tell. Stick to them, they could teach you something.  Stick to him, he got something he could teach you.  You can stick to him if he wants you.   You know what you need to do. We're grown men. Y'all watching this, y'all grown. Y'all know what y'all need to do. Stick to that positive energy. Discipline is your best friend. Know it's not, know it's not good.   Being rich is fun, you know what I'm saying? You know what you gotta do. Stick to that positive energy, man. It'll help you in the long run. And I'm gonna tell y'all like this. Y'all tapped into a real one. Buffalo's on, Griselda. Be on the lookout.  You know, he's a big dog because of the work, not because of the change, not because of the money, but because of the work and the dedication and the discipline and the resilience to be able to say, you know what? I'm staying 10 toes down, even though I ain't seeing that right now. I need y'all to be on the lookout for everybody can go. He's stating facts based off of his personal journey.  He's not gonna, he wouldn't even tell me. But it's going down, man. Much love to you, brother. Keep doing your thing. Yes, sir. This is another episode of Where's Wild Low with the one, the only, the butcher. It's going down and it's just like that.


Russian ATGM fires missile unauthorizedly after being hit by Ukrainian drone. Operators of Ukrainian drones from the control and artillery reconnaissance battery of the 110th Brigade, named after Lieutenant General Mark Bezrushko, destroyed an enemy anti-tank unit near Avdivka. Despite the filigree hit of the ammunition into the dugout, the Russians who were in it managed to survive. The drone filmed the invaders jumping out of the burning hideout and running away. However the ATGM itself was destroyed. Apparently it was armed after being hit, the missile detonated and flew out of the installation. Avdivka direction.  It's a pity it's not forever. We also destroyed an electronic warfare device so now it will not be easy for them. The soldiers wrote in a commentary to a video of a fragment of their combat to work. In Ukraine, zip tying old grenades and mortars to tiny online bought drones and using virtual reality headsets to direct them into Russian targets. It is not the war. This four-man drone unit initially signed up for, but it is as effective as it is cheap.