Hello, everyone. Good afternoon. My name is Kalan Nikolov. I'm Cloud Engineer at PayPal. The topic for this presentation is compute waste management for operators, or basically how to nicely reclaim what is yours in a private cloud environment. The agenda for today's introduction, how to identify and use resources or VMs, how to deal with those and use resources once they're identified, what strategies we have to eliminate that compute waste on the private cloud, and what tools we use at eBay and PayPal. At the end, I'll talk about the cloud medium. That's the tool that we use at eBay and PayPal for capacity management on the private cloud, and then it will be summary. For the introduction, I guess the reason most of you are here in this presentation is that you have the same problem as we used to have at eBay and PayPal, and that it's with compute waste and how to deal with the compute waste in the private cloud. As you know, on the private cloud, it's now that easy to identify and delete and use resources as it's in production. You probably heard a lot of talks during the summit about how to create, how to deploy things, and actually this presentation is going to be how to delete things. As you know, that's it. Deleting things is easy and quick, so this presentation shouldn't go long. So when we started, the reason we started looking at compute waste in the private cloud is that a couple years ago, we deployed a self-service cloud for the dev QA environment. Soon after that, we started running into capacity issues. The users started deploying VMs, also done just to try this self-service cloud. We started looking at solutions and how to identify those VMs and what to do with those VMs. As you know, the compute waste can be a very, very serious problem for many organizations. It can cost millions of dollars, so it has to be dealt with. Usually, there are two challenges in capacity reclamation. The first one is to identify the new resource that we have in the private clouds, and the second challenge is what to do with those new resources. We're going to talk about how we had eBay and PayPal reduced that compute waste. So I'll give you just an idea of the scale at the OpenStack Diploments at eBay and PayPal. PayPal is running on the welcoming percent of OpenStack on the web in mid-year. Most of the dev QA environments in both PayPal and eBay are on OpenStack. We have 8,500 hypervisors. Actually, the number is growing every day, but this is the number for now. The number of virtual machines is 70,000 plus. We also have several thousand users in these clouds. We have spread across 10 availability zones. So what causes compute waste? When we started dealing with that, we found that we have a lot of users who want to try the cloud service, the sales cloud service, so basically they log in, they just click Create VM, they see that it's a cool thing, and then most of the time they forgot about this VM, they just leave the VM running. We also have VMs who were left by ex-employees. They also forgot them to be deleted. We have VMs that are created by admins, simply by testing the service after failures or after new deployment. We have temporary sources, which were initially actually the temporary sources that are created by users just to test the thinker tool, and then again they forgot creating those VMs. Our planning is when, for example, we have VMs created by service accounts for a specific project that requests more VMs, and then they end up with using less VMs. The last is VMs with errors that usually when users try to create VMs, sometimes they run into issues, create VMs with error state, and those VMs need to be cleaned as well, sometimes either on the creation or sometimes on the deletion, the VMs are errored out. So how to identify the new resources on the private cloud? There are basically two ways. The first way is to install agents on the VMs itself. There's a third-party tool, so it can be self-written tools that can go on the VMs. However, sometimes there are issues installing agents on the private cloud, sometimes we cannot control what needs to go on those VMs. The other way is basically to have tools for collecting metrics on the hypervisor itself. There we can use a cylinder, for example, or we can build our own tools to collect data and process this data. So on the hypervisor, what things can be looked at, what metrics can be collected for identifying those and use resources. So when we started looking at those metrics, we found that there is no ideal metrics that can show you that, okay, this VM is unused or not used. So every one of these subsystems have some kind of issues. For example, the CPU can be affected by either external or internal factors. For example, CPU clock or this guy or the hypervisor. Or sometimes we find, for example, OpenVis, which can also affect this on the CPU. And sometimes when the VM is actually idle, you can see that there's high activity from the hypervisor perspective. So that's a mismatch. Memory also cannot be trusted. For example, the KVM basically keeps the memory once it's allocated. So if the VM was used at one point and then it cannot really tell whether the VM is consumed memory now or not. With this KIO, there are also issues. You can find a disk KIO of a process, but again, that disk KIO might be affected by external factors. The network, it's susceptible to network noise. This is mostly DHCP, NTP, LDAP, external pinks. And basically it depends on the environment. Sometimes we might have more or less noise. However, at the end, we decided to use network traffic to identify the industry sources. And the reason for that is we can filter out some of the noise by using some statistical measurements. We can also look at both egress and ingress traffic independently make additional determination whether the VM is used or not. For example, if the egress traffic is very high, but the ingress is zero, that means that there's a problem with the VM. For example, the VM is trying to request a DHCP, but it doesn't get anything back. How to deal with unused resources? So there are basically two ways. The first one is to use a chargeback, showback method that's basically making the departments responsible for their usage or just show them the cost of their usage. However, that doesn't work very well. The large organization is that they're always fights and whether that's the correct usage and things like that. So we decided to use another way, which is the smart reclamation or basically ask nicely about the usage of the VM. So what we do is we identify the VM that is unused. Then we notify the user about that his or her VM is unused and also his or her manager. And if the user doesn't take any action, we delete that VM. I will go over that a bit later with the whole flow. So we developed our own tools for basically identifying and managing that and use VMs. The tool that we developed is CloudMian, actually was covered by Trini. We use that tool for identifying unused VMs and on the self-service cloud. That tool started as a POC just to test it out. It was kind of very quick. I could script it, but then it grew into a more complicated tool. We started from a single availability zone, and then we added multiple availability zones. The resources you claim, the tool are exceeding $3 million so far. Here are some reclamation statistics that we have from that were made by the tool. So when we first activated the tool, the tool identified 42% of all VMs in the private cloud as unused. Actually, those were VMs accumulated over a period of two years. And then we started notifying the users that their VMs have been identified as unused. And the users decided to keep about 25% of those pull of 42%. And the rest of 75% were automatically deleted by the tool. Also, now statistics that when we get a user's choice to extend the life of the VMs, most of them selected either to never expire or one year. And there's like 30%, 40% of them decided to keep it temporary for one month or three months. The reclamation flow, actually Trini had a better diagram, but I'll try to explain it in the slide. So when we identify a VM as unused, we set expression dates for that VM. We marked as unused and we set expression date, which is 14 days from the time of detection. That means in 14 days, we're going to shut down the VM. When we marked the VM as unused, we sent email to the user, to the user that said, okay, this VM has been identified as unused, and the user had a choice to either extend the life to keep the VM, or the user can also delete the VM if he wants. Or if there's no action taken by the user, which is most of the time that we have, the VM will be shut down in 14 days. And we'll keep the VM again seven days in shutdown state, and then we're going to delete the VM. So basically we have 21 days to call process, and the user can always... Sorry. Yeah, we can talk after the... So basically we sent email to the user, and we also sent reminders to the users every, actually two days prior to the shutdown, two days prior to the deletion, and we usually CC the manager during those reminders in case the user is on vacation, or just with visibility as well. So if the user takes no action, we delete the VM, so the user decides to keep the VM, he can extend the life of the VM, he can continuously extend the life if he wants. So as I mentioned before, there's no ideal matrix, so we basically have decided to ask the users to make the final determination where to keep their VMs. The user feedback that we received, at the beginning we exploited a lot of users to complain, but surprisingly we received very few complaints. Actually there were not three complaints, but there were more that users didn't read their emails, or some of them hate receiving notifications, they want to block those notifications, or they were asking just why my VM is identified as unused. And the reason why the users didn't complain is because we gave them a choice to make the final decision whether to keep the VM or not, and that's basically what helped in the whole process. So the Cloud Minion, so the Cloud Minion mission starts with POC, it's basically becomes set of tools for identifying unused VMs, and then it can set exploration dates for the VMs, it can also delete or shut down the VMs, it can send reminders to the users and notifications, it can generate reports for how many VMs could be identified as unused, and much further reports. It also provides UI for the users where the users can manage their exploration dates of their VMs. They can also actually delete the VMs from that UI, which we think it helped also a lot, because the user goes to that UI, he sees or here see that all of the VMs of the user, and which the user usually have forgotten about as VMs, so they have a choice to delete the ones that they don't need. The Cloud Minion components here, the tools that were... So on the client side, on the hypervisor, we have several tools that are used mostly for identifying whether the VM is used or not. There's a CMCA, which is a Cloud Minion system activity tool, which collects data from different resources, for example, for network, CPU, et cetera, and basically the same way as sys.ca writes data to a file. Another tool is the CMSAR, which basically reads that data and makes determination whether the VM is unused based on predefined rules. I'll go over the rules later. We also use that CMSAR to generate reports about the network usage of each VM, so we send that data to another database that we can process and see all the VMs that, for example, can filter out all the VMs that have very high network utilization. On the server side, the Cloud Minion server side, we have a... It starts a temporary API, a Cloud Minion API service. It was kind of very quick and very... Which is using CGI, ProCGI, with the intention to replace it with something more robust. The Cloud Minion Manager, this is the main part that is processing all the data, and basically what it's doing is it syncs the data from OpenStack database with the Cloud Minion database. It sets exploration dates. It sends notifications and shuts down and deletes the VMs. The VM exploration management tool, which is where the users can see all their VMs, they can manage their VMs, they can change the exploration date of the VMs, or they can just delete the VMs from there. Here's the block diagram. As I mentioned, on the hypervisor, we have the CM agent, which talks to the API service, and then basically sends the data to API service with information about all VMs, whether it's used or not, and then the API is writing to the Cloud Minion database. Then the Cloud Minion Manager, the manager syncs data from OpenStack database to the Cloud Minion database.  For example, the emailer that sends the notification to the user. It's not here, but we use it. It's LDAP query. The manager basically gets the real email address from LDAP, basically the username, and the VM exploration manager. It also talks to the API, and it can also be used to shut down and delete VMs. Here are some of the rules we used for identifying unused resources. As I mentioned, we use network traffic primarily for identifying the unused resources, and we use network traffic in all rules. However, in the rules, we can easily add other subsystems like CPU or disk.io. The rules that we currently use are if the network traffic stays below X megabytes, it's usually, it depends on the environment and sign environments. We have less or more depends on the noise. We usually set to four megabytes or sometimes even less. The network traffic stays below X megabytes for 14 consecutive days, or the standard deviation network traffic is less than X amount of, usually it's 1K, actually 100K bytes, or if the ingress traffic is zero bytes, then the VM is marked as unused. Once again, basically we try it with these numbers. It depends on the environment. Some environments are noisier than others. These numbers can easily be changed. The cloud media integration with other tools, for identifying unused resources, we have our own tools, but we can easily integrate with other tools for extracting metrics. For example, the cilometer. We had some issues with cilometer in the past. That's why we stopped using it. We're trying again to use it, but we're not ready yet to switch collecting data from cilometer. So basically anything that can collect data and generate reports, even sys.sasr can be used. Bizarre integration with OpenStack. When we started this project, we didn't plan for any integration. Currently, there's no integration with OpenStack. And there are plans to integrate with OpenStack dashboard, and that's going to be really helpful so users can use one dashboard for everything. So they don't have to use separate UI, which was supposed to be temporary, but it's still being used. And also integration with OpenStack cilometer. And almost the entire area, I'd like to call for help if the community is interested in that tool. We open source that tool. If the community is interested, we'll be very happy to work with the community on rewriting that tool, because when we started writing that tool, it was patched multiple times. It's not in very good shape. It works now. That's what we use currently. It's been automated to work, but it's desired to be rewritten. And also, there's a need for integration with OpenStack, especially with the dashboard. In summary, I can say that the capacity reclamation in a self-service cloud can be challenging, but it can be also rewarding once you start dealing with your unused resources. As I mentioned, we saved millions of dollars on that. And the smart reclamation that we started using has proven to be effective for us. And also, the Qualcommian tool, it helped us reduce the unused resources that we accumulated. And it's continuing to reduce that, identify unused resources and clean them. It's available on public GitHub if you're guys interested. We'll be happy to work with you on redesigning and rewriting it. And that's pretty much all for the presentation. It's going to be short. If you have any questions, you can use the microphone. When you're sampling the traffic to do the statistical analysis to mark machines for deletion, do you do that at random intervals or at different times every day to detect like if you have a bursty workload? So currently, we get a snapshot of the network traffic once a day. However, we can basically take a snapshot in smaller intervals. We're planning to switch to one hour instead of 24-hour snapshots. But once again, you can take different snapshots of different intervals, and then you can adjust your numbers in the rows, what you want. So that's pretty much up to you. But we found that once a day works fine for us. I was wondering if you have some other tools to manage restricting floating IPs? No, actually, once you delete the VM, the deletion basically cleans the floating IP as well. So we have automated the whole process. Once you delete the VM, it also a pull from LBus, and it's also a volume that the VM is using. There are also additional features that we'd like to implement. If you don't have that integration, it's about cleaning other resources with now a delete. We're planning to add those features here that basically can automatically clean other resources as well. But we don't have this right now. I'm just wondering about the deprecation period choice. I can understand that you'd want to turn off a VM and see if anyone screens. But why a total of 21 days? Wouldn't it be more useful to do something like 30 days or a quarter? Something that corresponds to a business cycle? It's up to you for us. We started with 14 days. Basically, within 14 days, we shut down the VM and then wait for another seven days. However, at some point, we decided to be more aggressive. So even we shortened that period. So it's up to the organization to decide how long you want to keep that VM. And usually, we have 14 days. Initially, when the VM is detected as a news, which is basically 14 days of inactivity. And then we have 14 days. Yeah. But you might have a VM that's only used for a batch job that runs once a month, runs a quarter. Exactly. That's why we have the final determinations made by the user. That's why we get the user. Usually, we try to make things as much as better. Basically, identify a new resource. But there's no ideal way to identify what the VM is in use. A user can use it like once a month and we'll find it. That's why we have the final decision to be a user. Okay. The other question is just wondering if, isn't there potential to do reclamation and things like object store in that? And if so, have you actually done just some what if analysis to try figuring out what percentage of your objects may be unused? We were planning, but we actually, we didn't have time to do that. But currently, no. Currently, the tool is, imagine it's like a POC. It just handles VMs and most of the VMs that we have. And then, but yeah, there are plans to add more features. And once again, if the community is interested, we'll be happy to work. Okay. Thanks. I guess just kind of a follow up on that to just see what do we have all the information we need in OpenStack to track if a volume has been mapped or used in the last three months. Same for images. So because users love to create lots of images that just take up space and glance and never get used again. We haven't looked at that as I mentioned, but yeah, it's possible to basically add that feature as well to the tool to kind of volumes. Yeah. If you have any other questions, thank you for the presentation.


If there's one thing we definitely need during this Russian war against Ukraine, it's more celebrity activism. This time we're getting a big steamy pile of it from Stephen Colbert, who wants to let us know he's ready to pay $15 a gallon for gas.  Oil prices have skyrocketed. Today, the average gas price in America hit an all-time record high of over $4 per gallon. Okay, that stings, but a clean conscience is worth a buck or two. I don't want to pay $4 a gallon. Hell, I'll pay $15 a gallon because I drive a Tesla right now. What's wrong with the rest of you pro-Putin losers? Can't Stan Colbert's brave and stunning patriotism? Well, maybe if you believed in science, you would own a Tesla and wouldn't be a Russian troll.


The following is a presentation of TFNN. The Tiger Technician Hour with your host, Basil Chapman. Call now. Call free at 1-877-927-6648. Hi, folks. I've got a chart up here on this Tuesday, the 31st. And I really believe very strongly that on Halloween, if you're going to put candy and stuff out, you've got to put out what you love. Because, after all, if it's not all taken or eaten, somebody has to do that. All right, so it bonds up 630 seconds. We're watching this really closely. We go to the TLT because sitting right on the pink nine-period exponential moving average. Because just on a purely, on a scale that says, where would this be oversold? Where would it be overbought? What? What? What? What? Everything about this. Look at the cascade to the downside. Each peak was just no more than a peak A, and then it fell. One peak at one bar peak, and then it comes back and breaks it within one bar. This is the weakest you can anticipate in any chart to the roll over on the right side in the dreaded H pattern. And this is exactly where you would say, hey, right here is where there should be some kind of, go to the TNX, that's the 10-year. There should be some kind of reversal. Well, you've got your reversal. At 50, well, it was just under 50, I think. Let me just check. The TNX went to 49.97. That's 4.997% on the 23rd of October. Let me just type that in there. 49.97. And what did I say it was on the water of October? Yeah, you should have remembered that. I think it said 24th. I'll call it 24th when I come back and check it. So it's already one, two, three, four, five, six sessions, 23rd. Okay, six sessions since then. And you've got your dreaded H pattern. I can do that. Let me just see if I can find it. Yeah, dreaded H is this pattern. Yeah, I'm always looking at three core patterns. Straight up, straight down. Couple formation, automation, mix of one and two and one and three. One and three is the dreaded H where it takes out the left side low and it keeps going lower. The Y is the reverse Y. The green, because it takes that out. Look, there's the reverse Y. It goes up. There's a Y pattern. Takes it out. Y pattern takes it out. Big Y pattern takes it out. And now you're looking at a failed Y pattern that becomes the arch, the dreaded H after the peak A, pulls back. Even that's an A. And it's gone below, but actually it's running a little bit. It's only down 8 cents at right now at 48.67. So this is a really important moment because in the Chathamway methodology, a technique that I developed years ago, years and years, decades ago, the Chathamway instant restart and there's no other technique in the world that I've ever seen that is even close to this. This has got nothing to do with, this is just an observation. I've never seen it before and I'm not sure, well, I understand why it's because I alphabetized my notation way back because I want to differentiate it from the Elliot wave. It has really very little in conjunction with the Elliot wave, although I know in many of Elliot waves to say, wow, you can get such clarity if you use these two things together. That's not the issue. The issue is if within three bars after a peak D, the fourth highest peak, there is another leg up. You can give it an alternate count, A, F slash B, G slash C and invariably if it goes to G slash C, there's a chance you cannot rule out. Spiritship, if the magnitude is still strong and the nine is still over the 14 and the stochastic is at 88%, then you make a little cup formation and then you go to a D and that's where you've got to be really careful. So who knows, right? Okay, so as it stands right now, what we've got is that the yields have pulled back some, but they haven't given you the clue yet because look, the green nine-peered moving average over the 14 is still very strong. To get it to weak and you'd have to see 46.30. It's at 48.65, 46.30 or lower. For that pink, they're green to go pink. So as we're looking at it now, yields are not yet quite saying they're ready. Look at this, TYX. TYX is, there it is. The TYX went to that alternate count and then it went to an F right there. And it's made that H pattern, but it's holding pretty well. The nine is still very strong. And there's your G, this is exactly what I was talking about. There's your chamois instant restart. Actually, I can get rid of this now because it's blocking out what would be chamois instant restart right there in the TYX. The thing is T bond interest rate continues contract and lo and behold, you get E sash A, F sash B, G sash C and that invariably, I've warned and warned and warned. Yes, you can get a fabulous turnaround of peak G. You saw it in trough G in this morning and what were we looking at? What were we looking at? Oh, we were looking at do do do do. We were looking at, I'll get it in a minute. We were looking at this stock and it made a trough G and the result turned out to be G and a D at the same time. Somebody help me, help me, help me. I'll find it in a minute. I should know. I should know. I'm just blanking out right now. I'm not going to blank out. I'm going to go right there and get it because I want to know that I'm talking about apples to apple, the wolf. That's right. So this is a G and it's gone to a D on the upside, up a case on the way up. So you've kind of fulfilled everything on the TYX that you need. At this point, we can easily start to see a pullback, 30 year T bond interest rate yield. This is the actual rate itself and wolf. Wolf itself is trading at, type it on the chart. Type it right there. Wolf speed is the name of the company. Went to a D right there. Look, there it is. G sash D and wolf, big wolf, big balance. Up 6.23, up 22% at 398. Hey, Dan, congratulations to Dan. Yes. So the G was coincidental to everything else that he was looking at. I did have an alternate count. I wanted to actually show you. I was going to take my show to show you. So this is something for those Chapman waivers. Look, if you get to your D on the way down especially, and then you're ready and you fail, keep in mind, you've got to count the next series of lows, troughs, we call them, in sequence as well. So this is a gray A. Why is it gray? Because it didn't go underneath that D. Otherwise, it would have been E. But the next one becomes an E slash B, then an F slash C, alternate count. That's all we're doing. It's just saying there could be an alternate count, which would give you a different mentality. That's all. It doesn't change what's there. And then there you get your G slash D. And look at that nice V shape pattern in the on balance mode. Stochastic went from single digits to 13%.  Because the market is attempting some kind of a basing area here. It's one of the reasons why I'm going to tell you this. You see the height on the 17th of October at 3579? If it's able to hold above it, even just one day, then all of a sudden it's unbelievable. The count of the 3rd of October of 3769 comes into focus. Down, down, down. That speeds up $1.27. If you're looking for potential trading setups in the stock market, then Rocket Equities & Options Report is a newsletter you should try. Tommy O'Brien delivers options and equity trades when the markets present them, using a combination of fundamentals and technicals. Sign up for Rocket Equities & Options Report today with a 30-day money-back guarantee so you have nothing to risk. For all the details and to start your subscription today, visit the front page of TFNN.com. TFNN Educating Investors. You might think that if you want to be successful at trading in the stock market, you're going to need a crystal ball. After all, it's impossible to predict the future, right? Like any endeavor in life, before you decide it's impossible, get some advice from the experts. You might find that it's not so impossible after all. For daily market overviews that give you direction on the key indices, selective stocks and commodities, subscribe to the opening call newsletter at TFNN.com. The opening call newsletter is written by Basil Chapman, creator of the trading methodology known as the Chapman Wave. The Chapman Wave up-down sequence gives you an edge in identifying price turns, finding the peaks and valleys in stock prices.  First-time subscribers also get a 30-day money-back guarantee. If you're not satisfied, let us know and you'll get a full refund within 30 days of signing up. Subscribe to our channel for more videos like this one. Thanks for watching. Subscribe to the Fibonacci 24-7 newsletter today. TFNN.com. Educating investors. Today and become a part of this educational community of traders, just visit the front page of TFNN.com. Toll free at 1-877-927-6648. Internationally at<PHONE_NUMBER>. Hi, folks. Tempe got the e-mini. I just want you to draw this interview while we're live. Look, so you see that high right there, 9-30, around about 4191.  This is what I was talking about in many of the positions that we were looking at. Let me just do this right here. Click. And there's your plum line. That's the midpoint. There's your beautiful cup. Remember, we're looking at cups and arches. Cups and arches, straight line, straight line, cups and arches. Well, there it is. Take that midpoint and put it in there. And where are we right now? We're almost to that left-side high of 4193. I think we're here at 93-25. Beautiful cup formation. Now, I'm doing this historically. In other words, this is... That was the low. That was a lower low.  But at the same time, what I'd like to do is do a Chapman inside wedge from a particular low point. And this guy's taking it there. And we go right to there. And then I keep the line. The whole idea is that sometimes lines, trend lines, sit there and you ignore them when you don't need them. And out of the blue, they appear as really important after being just kind of background. So this is background right now. It'll become foreground if you start to move higher again. So the E-mini went to this most recent time, the 41-94 area. It went all the way down to 41... What was that? 41-70 in this last pullback. But that slide, that was at 10 o'clock, went to 41-70. So the low for the day, I'm meaning overnight, that is, at a chaff G, right there. Oh, I forgot to do this. I drew this in. This was the 200-period moving average. Look how important that is. Look how it hit that. And then it hugged it, magnet. Oh, you can't get away from it. And then all of a sudden, you get repelled. The further away you get repelled, either up or down, it says, ha, now that magnet line is just being reversed and becomes a propellant to the direction you're going in. And look at that 9-period moving average, how beautiful it is. It goes to a little doji candle. I had this drawn in when I did Tommy's show earlier on. Some people pointed out we had that left side, right side, price-time match with a doji candle. And we would pull back to the 200-period moving average. This is going to be a work in progress. This low that was made on Friday. I'll go into that in a moment. But yeah, the questions came in. I want to get to them right now. So pins. We were doing this in the show earlier on. I said I was waiting for someone to mention it, someone in particular to mention it in the dead who is always looking at this habit at some point. I think made some money on it and then got out. Look at this beautiful move up 4.84 to 29.95, up to almost 20%. So this is, I can always put an interest. The way I always looked at it, why it's interest rate-related, but it doesn't have anything to do. The chart doesn't look like an interest rate chart. And then I looked at it and said, oh, it's a discovery engine for recipes, home ideas, style. Style's not going out of fashion, folks. And I think that this is a really strong move to the upside. It made the dreaded H pattern broke to the below 24, three sessions ago, four sessions ago, two sessions ago, it must have been Thursday, Friday, Monday, Tuesday, yeah, Thursday. They're Friday and inside Dave in the market was really ugly. This held well, had a good session yesterday and then gaps up, leaves an island reversal to the upside. And I would not have expected that a peak D could be made in this instrument in the next few weeks. I just, I would have looked at it and said, oh, a lot of work needs to be done, but a good, must have been good earnings and outlook, whatever it is. This is what you need to see. So yes, I think this is in play and it's in the area right now. I don't know about buying it in 2975. I'd probably say I'd like to wait for a bit of a pullback, maybe in 2880, but you could have separate, maybe three separate positions, a little nibble in the hair, wait for it to pull back once, but your idea is to buy it because it's acting really well in this environment. But I don't know about the question whether you want to buy it. I suspect you do want to buy it. My answer is keep it the way you do your homework. This suits you very well. You could just start like you sometimes do, put your foot in the door of Pinterest and then you can make decisions over a period of a few days. But this is great. This is what you want to see. It acted well on Friday when the market was down. It acted well yesterday in anticipation of the earnings and now it's acting really well at 2984. I like this. In fact, I'm going to put it down. I want to do a little work on this. I don't like to buy gap-ups like this. Anyway, we'll see. Now, the next thing we want to look at is a question came in about SOFA. So SOFA is the stock that we had only because I wanted something in the financials and the regular old financials like a JP Morgan or JP Morgan. Look at this JP Morgan. Even today, after two decent days, it looks horrible after Friday's gap smashed to the downside. And this is the leader in the field, Bank of America. We haven't touched it for ages. We used to have it every year for a good number of months. Sometimes almost for eight or nine months and then we'd get out of it after a very nice profit as it came down and then we'd get back in and then we'd get out of it. Oh, haven't touched it for, I think maybe it's about a year. It's just been acting horribly and someone said to me, could be getting out of business. I don't know about that because they also have that brokerage part of the Merrill side of it. So all I can say is that SOFA was the one because it was in electronic area basically. But it also hadn't, I forgot to put this in here. It had those student loans. And as I read it now, student loans. The way I thought I heard it some time ago is that they were less and less beholden to the student loans and more to other types of instruments that they were participating in. But the chart, it was acting well. This is where we got in and we got taken out and I said, no, we're done. We have to wait. And then it had, so today it's a 43 cents and 736. After really crazy, there's one of those really crazy candles you see with the big body but yet even longer legs to the outside. Just a range of 788 to about 668. I think it goes, let me just check. Yeah, 668. I mean, that's huge in one day for a stock like this. So all I can say is it's the way it acts to earnings. I don't know if this is earnings report. But I have to give it time now. I'm kind of done with the whole financial area just for the moment. I need some evidence. I want the whole week to play out. I want to see exactly what happens in the financial area with XLF. Remember, I always say that gold, watch gold closely because gold sometimes reflects the fear that big participants like countries or huge funds and especially hedge funds have when they get pretty nervous about the financial sector. So far, I don't see that here but it's not a pretty hot job except I hope I covered that. I've got a couple more questions. 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So all I do is exactly the same as we did with the others. Chapman Wave inverted Roman candle, green Roman candle. If this is able I CVM doesn't matter what it is. It's sell dash ski corporation and it's not skiing folks. This is science probably. It's trading at 151. If at any point in the next need speed now needs at least actually it's past the speed dial. Okay. It's in a different category. But if it's able to trade above 1.86 for more than 90 minutes. No, I'm going to give it two hours because of the way it gives back so quickly. Then that's really positive. 208 would be the Georgia period moving average target 2.31 would be the the next target on the upside. If it fails to do that everything under that says it's acting well. But to really get to the high of seven sessions ago or eight sessions ago. That's what you'd have to see. Another question came in. Could I look at so I looked at so far. I didn't tell you about so far what the parameters are. So so far you can see the weekly chart 9p moving average move negative. That's not a good sign. Not just narrowly but the MAC these weeks the cash is horrible at 10%. On balance volume is pretty good but the daily chart is you have to have the daily chart working well to help the weekly chart. So you see this candle with a high of 7.8 7.88 on the 30th. That happens to be yesterday. So much going on. It feels like two or three days ago. You want to see give it a little time. I would prefer to see that so far is actually trading in the eight to eight ten area eight dollars and eight dollars and ten cent area to even think about it again as something that I would buy. I gave it a chance because it was in in in an area I wanted to be in only not for technical reasons just because if the market is going to move much much higher you're going to have as far as I'm concerned you have to have the financials otherwise it's a shorter term rally to have a more sustained move. I think you've got to have the financials participating and that leaves you with bonds and all that. This was in the electronic area of the whole banking system so I thought they didn't have all the paperwork that goes with having bricks and mortar that sort of thing that's what I was looking for. So in the meantime that's what I'd be looking for but I'd hold off right now. Next question came in could I look at so let me just do this so the SMH look at this I've got a one to one let me just show you this pattern the symmetry has just been phenomenal I always do this in a way it kind of relates to a lot of what you can at TFN the host talk about but it's just forever. I've always worked with channel lines. I love channel lines it's just a whole process we also used to have Bud Robs like Bud Robs used to be here the way of looking at a channel line and saying wait for it to come back to the trend line that it left so it goes away and then wait for it to come back and that's when you make decisions and if it breaks out see how it tests it I have a way of looking at it which is I would say it's kind of similar but it's based on the channel wave methodology so in other words there are variations to it and the variations are really important look at this beautiful symmetry between the blue number of points to the downside but it's the degree I do this I discovered years ago that angles are very important I should call trade station I've never done this I keep talking about it all they need to do is take us trend line a line like that and if I grab it on this side and I raise it up there should be a little thing that I click it gives me the percentage like this I can tell that it's about a 3.5 or 4% that's about 3% arise I would like it to tell me then I can get the 618 so I can do all those I can do it visually but that's I mean you wanted mathematically so I haven't it's so easy I don't know why I haven't actually yelled and screamed saying could you please could you please maybe I will do that someday but in the meantime channel lines are very important inside track repellence and look how the semiconductor got repelled from 161.17 high it made on the 31st I think yeah 31st of July we've been short on the 2nd of August at just over 159 still short so 161.17 within about two points all time high we've had it and it went to 143.35 look at that beautiful number sorry blue line green line and what it did reverse right at the Chapman wave inside track start over inside track repellence line came down and went to the Chapman wave inside track now I'm going to draw this in I it's getting messy I don't like that but it tells you this gives you all the information that you need look this is getting into the probe repellence zone will this time will it hold that's the reason why I don't think we've made the low yet I think we've made a low I want for the semiconductors how does it test this so look at this angle the exact percentage change percentage decline same percentage angle here same percentage angle on the way up to the Chapman wave inside track lower repellence zone now it's coming into the lower repellence zone what happens next the castings at 7% well before it was in this area that's where you got your reversal but look at the on balance volume it gave you a very nice V shape turn around V shape turn around nothing yet I haven't got that it's still a little early in the in the down move for the semiconductors now wait a minute what about advanced micro comes out with earnings I think today so advanced micro look at this the dreaded H pattern fails at a peak C goes to a low low so there goes to a C minus and that's usually not a good sign it says it's showing a lot of weakness and here you are with the market down down down 56 SMEs down 4 only 4 it's not a big deal off just a big move yesterday yet it can't get out of its own way but it's at a point where it could have a bit of a bounce if the earnings or the lookout period says hey in the next three months we shoot or two months we can see light at the end of the tunnel maybe the light is a train coming along all right we don't know yet but look at Nvidia I'm not sure why it ever flips like that to the background chart alright Nvidia I was going to say it looks just like the down I mean like the advanced micro devices that's because I never changed charts NVDA there we go Nvidia there's your dreaded H pattern went through a C C minus because it's made a lower low and now you've got your trough D so what we do is we say this is a trough A higher up this is a trough B higher up this is a trough C lower than that and yes your D leg D so as I see it right now there's a lot of work that needs to be done because you've got your arch formation your dreaded H formation in one of the absolute top semiconductors and that was another reason why I felt comfort when it had that big spike to 502.66 back on I think it was August the 14th or something like August 24th August the 24th and and we were already short and that said well if it breaks out from here but we gave it a peak denotation and look out it's pulled back so all I can see is I wouldn't be too aggressive in wanting to go long so with that said that was down 62 SPS 6.44 would be right back Gold report as a precious metal gold is still king it continues to hold the most effective safe haven and hedging properties the global major trading hubs of the London OTC market the US futures market and the Shanghai gold exchange the gold report Tom O'Brien publishes his weekly gold report every Monday morning for subscribers consisting of coverage of the XAU HUI, GDX the dollar, bonds the South African Rand as well as 25 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have already experienced the power of Tom O'Brien's award-winning newsletter market insights firsthand TFNN educating investors biotech is booming but for how long whether you think the biotech bull has room to run or has run its course trade LABU or LABD biotech three times bull and bear ETFs visit directioninvestments.com slash biotech today an investor should consider the investment objectives risks charges and expenses of the direction shares carefully before investing the prospectus and summary prospectus contain this and other information about direction shares to obtain a prospectus or summary prospectus please contact direction shares at<PHONE_NUMBER> the prospectus or summary prospectus should be read carefully before investing an investment in the funds is subject to risk including the possible loss of principle the funds are designed to be utilized only by sophisticated investors such as traders and active investors distributor four-side fund services LLC this program is brought to you by Vista Gold traded on the NYSE American and TSX under the symbol VGZ I can't believe how many tax I got there but I I'm going to go to the KitKat everybody's got their favorites we've got all got our favorites so look at this this is Newmont mining look at this move down today down 90 cents at 3780 ASA one of the South African goldmine can I type it back in the den I did ASA look at this ASA holding very nicely each one's doing some GNG price one that can drift up with the tide but at 360 cents it's not really showing anything RGLD Royal Gold not a good looking chart that weekly looks terrible monthly looks lousy so it's very specific and stocks it up what's the one FMV I often follow that 123.70 down 250 what happened here all right well this one doesn't count this is Frank and Nevada Corporation gold so it must be some political thing this is what you see when I don't know where they are Frank and Nevada something's wrong with this chart so it's very specific AU AU is Anglo Gold holding okay but it's not breaking out unless it's going to become this was too low maybe in a chap we stock leg formation maybe let me just see yeah I don't like the forces particular pattern when it shows up it's great no I took out that left side can't do it that would have been really nice I would have said it's all the way to 1986 and then you've got to be careful 1852 right now that doesn't apply doesn't mean to say can't go there let's not go there based on this particular technique all right so I wanted to show you a couple other things so high grade copper look at this high grade copper stuck in the lower range this is a geopolitical commentary about this is economically geopolitical not geopolitical geoeconomica a representation of what's going on around the world and if you look at wood the ice is global timber frustrate EDF why this is going to be important it's got the inverted chap we falling is also an arch formation we saw this in gld no gdx last year was earlier this year sometime now that I made lower lows this says it doesn't have to go much much deeper down but it's probably going to test the base and that's in the 60 69 area and yet it is a 70.68 and there's that arch formation in the weekly chart that's an international commentary as well so in the meantime there's enough how can I put this there's enough rotation through our natural gas I did natural gas just now I'll do it again natural gas I think is starting to be much much better even though we were taking a look at that I said that I loved it I made the stop I had to make a stop even though we had a small position which is even that was a split position so with two little mini positions we got stopped out I like this we had UNG is the natural gas natural gas fund and look at this we got in there we put in a stop and it really gap down sharply 7 was the stop and we got taken out and now it's turning at 739 not a big deal because this is a this is a work in progress and I emphasize progress because the on balance that rally a little bit it was high each time it's higher on each low that's good the stochastic is 47% but the MACD has been moving beautifully to the upside and the price in the long rectangle formation hasn't decided to be taken out the midpoint I don't want to make this messy but I'll just have to do it the midpoint so I like I like natural gas here I think it's got something going for it for November but it's not easy to play and only that you got to be able to hold it overnight because the UNG bear there I've seen it move at night just a little bit so it depends on your pro on your platform if you're able to trade it in the evening but I like this peak a peak B the second peak a and a second peak B and this should have a culmination of trying to get to a legacy these should all be great I'm going to change them right now it should have a culmination at 808 once it hits 810 above the 808 level it's in you it's in fresh territory it's in territory that says wow now I can look at the upside it's got a lot going all the way into the 9s so I like it but that it's it's natural gas and something's been wrong with it for ages it's just a glut I guess I think that that might be wearing away but so far winter doesn't seem to be too bad in the winter in the parts of the country that have early winter so all I can see is this is a work in progress and how it went it went L the 9 went it was S for sell in the 9-period moving average then it went to L for a day then it went to S for a week sorry a week and then I went to S which is sell they went to L again today I kind of like it so the question was you and G and I'm saying to you I think it's in play but you're going to know how to do it yourself ery ery I want ery there's the question what do you think ery I can never remember ery is the energy energy bear who energy bear two times shares so this is ery energy bear so oh is this the X let me see the XLE XLE okay yeah so this is the inversion of the XLE they're in different categories altogether natural gas completely hasn't been doing what gas has done I'm just going to for the moment say heating oil is holding well it's not breaking up it's not breaking down it's in the good I want you to check that out okay so ery yeah I think I like your position I don't know when you got in but it's in peak A let me give you this here look here's you and it's a little difficult sometimes the inversion of whatever it is that you're following because of the calculation recalculation at the end of each day they don't quite make the same peaks you can miss one by a fraction so this is A that's B it actually went to a C I like it as it says right now I like it although I'd be nervous this this going into winter hmm oh I tell you what yes it's a short XLE that's real I just figured so all I can say is I this should go to a D but not always in the inversion so you get it because of the recalculation for instance this just barely went to a C and yet the XLE look the XLE has gone to that leg lower trough there okay so as I'm looking at it right now I think that your X E or Y you know what I would do it's had a really nice move I don't want to mess with your child I want to take a little bit off you know just watch it closely because if it starts to even though it's a leg C look how sharp that peak B pullback was so even if watch the XLE closely watch crude oil watch anything to do with energy but on a purely technical basis if this today's low is at 27 43 if by the end of the day it's getting close to 27 43 then I would take just a little bit off and if it closes here and tomorrow it goes one penny above 28 24 for a leg D and immediately if you haven't taken anything off take a little bit off of that point and raise your stop I'll be back down down 14 you might think that if you want to be successful at trading in the stock market you're going to need a crystal ball after all it's impossible to predict the 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what do I want to see in gold where do we see closing it doesn't matter about closing price in gold I think it should the continuous contract they have to have 2019.7 three days ago 2019.8 makes a leg D and that's where I'm going to see the big test if gold holds really well above 1990 over the next this entire week I don't see why the gold index the gold miners shouldn't at least have a pretty decent balance that's where it's going to be the big test which are the leaders in the area the dollar is holding so well it's going sideways maybe it's building sideways energy but sideways can also lead to a smash to the downside but I don't see it yet so the energy charts so far is still very positive the lines over the 14 the question was the S&P to the S&P right now I said to subscribers if we see the Dow over plus 80 after about 3 o'clock that's going to be very good action anticipating something very positive with the Fed but if it starts to pull back and we're down minus 90 or more we've already been down sharp sharp leash earlier on how we're coming back buyers are coming in as long as we're settling like this it means that the give back from yesterday we've had some digestive moment so that's what I'd be looking at the S&P right now I would like to if I'm bullish and right now we didn't add any short any position we actually added a long position so buyers are slightly more positive than bearish even though we're short the S&H's and we're short the Dow short term position new 4197 is the pink nine-period moving average can it touch it this week that's going to be the big question I just think this is a low and not the low doesn't mean to say we have to break the lower Friday but I think there's some pests that can ask that so I'm wrapping it up heading over to wonderful Steve Rhodes and I'll see I'll be back so have a great day see you a little later check out my open


Hi everybody, my name is Dave Cormier and I'm going to be your moderator today and I have the total privilege of being here with Robin DeRosa and Martha Burdus to talk about the ACE framework. Hi guys. Hey. Hi Dave. Hi.  I'm Robin DeRosa and I'm coming to you semi-live from central New Hampshire where I direct the Open Learning and Teaching Collaborative at Plymouth State University which is one of our state colleges one of four here in New Hampshire. And I am Martha Burdus. I also work at Plymouth State University in the Open Collab with Robin and I am also coming to you semi-live but obviously we are not in the same place. And I'm Dave Cormier. I work at the University of Windsor. I'm a digital learning strategist here. So we're here to talk about the ACE framework and I wonder which of you is going to give us that 47.2 second elevator pitch to give us some kind of scene setting for what the ACE framework is and what it's for. I can do that because I enjoy the aerial view and then I like to make Martha do sort of like the actual work of things. But the ACE framework is I really maybe better to tell the story of how it came to be which was when COVID hit and colleges had to quote unquote pivot really quickly to emergency remote instruction. I guess we had some concern in the Colab that there was a little too much focus on the tech tools that were going to drive that period of online learning and less focus on how teachers needed to rethink their interactions with their curriculum and their students during COVID. So we created a framework inside of which sit very particular practices. So it's even though it's a framework and it's conceptual it has a lot of concrete practices to go with it. But the framework is really a guide to say during times of crisis and particularly during the remote teaching of COVID you have to think not just about your tools but about your values, your goals, the challenges that your students face and you have to really center pedagogy more than you center technology. So that's why we developed the ACE framework to help our faculty as they were engaging in that quote unquote pivot. And I say quote unquote pivot because that pivots like a beautiful delicate dance move and I don't think anybody who was actually doing it was feeling very graceful or delicate during it. So Martha really helped sort of flesh out the way the framework works online and how faculty can engage with it. So I think if you want Dave she can kind of take you for a drive through ACE a little bit. That sounds awesome. Take us through a ride. So yeah, just so everybody can understand like when we say framework we literally do mean framework. The ACE framework is divided into these three sort of values, adaptability, connection and equity and then within those those are subdivided at the assignment level, the course level and the institution level. So there's, if I do my math correctly, 18 practices in total. But really for faculty, it's the ones at assignment level and course level that are really going to be the most relevant. The institutional level is more for administrators and policymakers. If you want to just jump into one of those just before we do just before we do, I see the way that this is set up. So there's six across the top. So there's six assignment level one, six course level one, six institution level ones. So adaptability, connection and equity. Just before we jump in, can we get the overall piece? What's the difference between those three things and what does that look like just so we have the context when we get into the pieces? So the top two levels are the assignment level and I think anybody who works with faculty knows that it's great to talk about your vision. But when the rubber hits the road, people have content and activities and course plans, class plans even. So the question is like, what are you actually going to do in your classes? So those assignment levels are really about how to how to rethink the very micro parts of your of your course plans and how you would retool your assignment given the challenges of COVID. The course level are a little bit bigger. Those are about like modalities, for example, how might you deliver your course? They're about how you might set up your syllabus, how you might choose materials for your courses. And then the bottom six are the institution levels and these are really different instead of practices with activities like you'll see when you click into the top ones, Martha will show you what's in there. But the institution levels are really designed more for administrators and committees in particular with guiding questions. So one of the things I was really concerned about with ACE was institutional alignment, because it's all well and good to give faculty like really flexible or innovative or interesting approaches to rethinking their courses. But if the institution isn't aligned and they aren't getting certain kinds of supports, then you can really end up feeling like you're not having a very big impact. An example of that might be, let's say you're designing your courses to work really well in low bandwidth environments, and you're trying to think hard about some of your students who may not have access to the technology that they need during emergency remote learning, but your institution isn't doing anything to consider Wi-Fi hotspots or renting out devices. So we can get a lot more bang for our buck, so to speak, if all of the parts of our, from our inside our courses to our course designs to our programs and our institutions are pulling in the same direction. So that's the institutional levels is set up a little bit differently, but it's aligned to it, but it's designed to encourage that kind of alignment. Very cool. So then if we're going to jump in, then I will select the rethinking fairness one that certainly been one of the things that I've been confronted with during the whole COVID thing is that I thought I was running a fair classroom and doing that kind of stuff beforehand, but I've really been forced to sort of dig deeper and think more about that in my own practice. And it's certainly been a conversation I've had with tons and tons of people in the last 10 months. So maybe we can jump in here and see, see what we got. And you can talk us through what, what this looks like. You picked my personal favorite day. Oh, look at you. It is me. So each of the practices has a short introductory video. Robin, myself or Hannah Hounsel in the Colab talking a little bit about the overall. It's overall idea behind that practice. And then the practices themselves are all structured the same. It starts with the learn section, which are some techniques or activities that we've pulled together to help people explore that idea a little bit more. This one in particular, as you kind of mentioned, I feel like fairness is something that just has come into such stark focus during COVID in ways that it hasn't before. For me, it's actually, it sounds crazy to say this, but it's almost a little exciting because in the, you know, a year and a half ago, if I had talked about fairness with faculty, a lot of them just wouldn't have had the grounding to understand where I was coming from. But I think so many of our faculty have now seen first hand what their students are dealing with across the board. And suddenly it just becomes so clear that every student's experience is different and every student's challenges are different. Those are all the case before it just wasn't exposed. It just wasn't evident. And so in a way, this has been kind of an amazing time to suddenly see faculty say, Oh, I never realized before that I was assuming a level of sub of kind of objectivity to my teaching and to my students experience that has never really existed. So and then if you scroll down a little bit past those, the teach section, we have this Explorer section, this is where we relied so heavily on the amazing community of educators that were a part of through networking online, primarily through, you know, tools like Twitter, we just spent a lot of time mining things that other people were doing. Some of it is older pieces that were written, but I will also say the amount of activity happening in spring and summer in our field was mind blowing. Every day I felt like there was some new, whether it was a new, you know, piece of writing or a new framework or a new set of tools or or techniques that people were exploring. It really was kind of a joy to put together the resources for this because there was no, if anything, it was hard to edit the list. It was hard to come up with, you know, you wanted to add more and more and more. And then I've already been using your framework and your list of resources, because you what you've done here is organize these things into pieces that I can actually get whenever I need them. So if I'm in a conversation with somebody, and I have one of the 10 lists of resources that I collected early on in the pandemic, and then I'm like scrolling through it. Whereas what this does is it not only provides the sort of structure that allows us to sort of learn from it, but also for somebody like me, it organizes all of the pieces so I can go in and find the things quickly and serve effectively. So I really do appreciate this piece. Here has already been something that I've been using. So thank you so much for that. I also want to point out the slipper camp resources. We had kind of a softer version of a boot camp. Just as COVID was was hitting to help our faculty really think about a lot of the things that ultimately became part of the ACE framework. So in the slipper camp resources, there are really some great tidbits like on this page, the cruelty free syllabus that was developed by our colleague Matthew Cheney, which is really about at the syllabus level, you know, how do you how do you think about the messages that you are sending to your students about what the experience will be like in the course. And obviously, he's very influenced there by folks like Jesse Stommel in thinking about cruelty in your syllabus and folks like Sarah Goldrich Rabb thinking about basic needs in the syllabus. So there's a lot of really neat short kind of webinar like things with additional resources there that you can check out when you go into the slipper camp parts. And as a as a greedy presenter, are these resources that I can go in and steal? Yeah, so anything that's in the ACE framework that we created is openly licensed. Other things might just be what we call free stuff on the internet. So like sometimes we might have linked to something that's not actually openly licensed, you can of course use everything. But if it's stuff that's created by the collab, or the framework itself, all of that stuff is CC by. Yep. So for engage, we had a couple of different ways. It probably is worth kind of pointing out at this, you know, at this juncture that like the ACE framework was our professional development work for the summer. So in addition to the building the framework building this resource website, we ran a four week workshop with folks from PSU, walking them through this as a curriculum. And so some of these engagement opportunities have passed like the, the join a meeting, those were some meetings we ran over the summer. But others people can continue to obviously do the discuss on Twitter is just using a hashtag to talk about that practice. One of my personal favorites is the submit something engagement because basically what it allows is any person to to come along and add a an idea or a practice or a technique that is related to this to this particular practice of their own and it immediately gets added to the bottom of this page. So we have a little bit of a library, I don't know whether or not any yet. So we have one that somebody added here. Somebody who was in our workshop last summer had added cool. So it's kind of a neat way to continue to grow the resource as well with with the people who are actually working with it over the summer. We encourage people to use hypothesis to annotate any of this. And then for people at PSU, we also had a Microsoft teams team set up for the ace framework where they could go in and talk among our community about using any of this within their teaching. So that's the basic structure of each practice. They all kind of follow that same structure. And I just want to point out like the the idea here was obviously to support faculty, staff and institutions during COVID. But the ace framework I think was helpful in some other situations. I have talked about it with folks in California, in terms of wildfires. And so I think one of the things about ace and I think in some ways maybe it's time, you know, not the resources, but like the time of ace has passed and we will probably be carrying a lot of this forward into our next project. But the idea behind ace was really not about COVID. It was about the idea that if you're human, which most of our students are, you're likely to be engaged in learning during times of challenge or even trauma. So if you think of K 12, and then you think of college, that's a lot of years to be engaged in learning. And it's very rare that someone's going to go through 1214 plus whatever years of schooling without, for example, having a significant illness or having the death of a family member or having a regional emergency like a flood or a fire. In this case, it was a global pandemic. It hit us, you know, collectively all at once, which really, you know, catalyzed a lot of this development. But you can use these kinds of things when you're just thinking about the fact that most of us are going to be dealing with these kinds of challenges. And if we do build more flexible, connected and equitable architectures for learning, people are not going to have to check their humanity at the door when they engage in something like college. And if you care about things like retention and completion, or even more surprisingly, if you care about people, then these are good ideas, I think, outside of COVID. So that's why Martha and I made a commitment not to put anything into the ACE framework that we didn't think would be a good long term practice after COVID because we feel like these are the kinds of things that can help us adjust our learning environments just for the fact of being human. You bring up the question of retention. It brings me to my favorite current question in the field, which is student engagement. So right now, for the first time in my career, I can imagine talking to a senior administrator about engagement and having them actually care. Because the open that what online learning that the sort of moved online has done is made students realize that they have a choice, particularly regional students, particularly localized students, but students generally have way more choice than they used to have. Well, they may have already had always had that choice, but they didn't realize it was there. And suddenly the experience that a student has as an institution is actually going to become increasingly more important for the hard numbers that keeps the lights on inside the institution. And so if I was and this maybe goes down to some of the institutional pieces, but if I'm going to do you think that this fits in with that engagement conversation? And when I say engagement, I don't mean I don't mean that in a banal sense. I mean, like legitimately students caring about and engaged in their learning. Can you talk about this from that perspective? Like how that really, like you say, addresses the always problems we've had in education? Yeah, I mean, this, you're just putting your finger on so much of my own motivation for for being being focused on ACE, because when emergency remote learning came, my institution and many institutions nationally really transitioned to the most sort of ubiquitous kind of online learning, I think you'll see this in some kind of online learning standards that are very popular nationally in the US. But a lot of those approaches to online learning are a little bit more, they're very flexible, which is great and that's part of ACE, but they tend to be very competency based, very mastery oriented and very focused on content, content delivery. And content delivery isn't important.  I like content, right?  But I will also say that the engagement piece often falls right out because that's, you know, that's sort of old banking model of making the deposits of the content. And a lot of our online learning architectures are really focused in that way. And when we go to flexible architectures, we default a lot of times to content mastery because students can do it more individually. They can do it on their own time, right? There's lots of benefits. So the challenge for ACE was really to say, particularly like at a school like Plymouth State, where we are a regional institution, we serve a lot of local students, we're very residential based, we're very place based, and we have a big focus on teaching, community and collaboration. So the challenge for us was to say like, when we move online, we don't want all our courses to look the same. We don't want all of our students to be working independently. We don't want content to fully replace collaboration. We still want to be inquiry based. We still want to be project based. And we still want to be experiential, which is very challenging, I think, for some educators, even though connected learning is a thing, lots of faculty are not as familiar with how to use technology to connect people together, right? They use technology to deliver. That's like the mechanism of the learning management system to manage content. So ACE is very much about that connected section of ACE is really very much about thinking about engagement through the process of human connection and collaboration, and that if students become participants who can also bring themselves into the course, we posit that they're therefore going to be more connected. It's one of the pillars sort of of open pedagogy really. So that's a big part of ACE and one of the things Martha really brings to the table is her experience in in connected learning and in online environments that really foster community. And that's where I was going to put the next question, actually. And Martha, feel free to ignore my question and say something smarter. In terms of what when I look at this, the first my first sort of thought is, Oh, it's these are to some degree a response to the affordances of the internet, right? So there are some things that are just different. So if you look at the community, you look at OER, you look at high flex. If you these are all sort of things that have not just started 10 months ago, 12 months ago, there are things that are brand new. There are things we've been forced to deal with. So how much of this do you think is a response to those affordance of the just how the world, how learning has had to change because of the ubiquity of information because of connection because of and in response to some of the amazing capacities we now have to? Yeah, I think it's an interesting needle that we're trying to thread in a way. That's my latest new expression. I always have one because, you know, my background is really in in technology and academic tech. That's where my my graduate degree in is in. That's what I worked in for years and years at Mary Washington. In that work, more and more I was doing faculty development and instructional design. And my focus now at PSU is really on those ladder topics. I don't work in academic tech anymore, but I certainly talk about technology a lot and I talk with faculty about how they use technology a lot. One of my favorite things that I've said in the past is, you know, we always have these weird conversations where people will say, you know, for years and years and years, you'd be in a conversation. People would say it's not about the technology. It's about teaching, which is a really difficult thing to argue against because obviously it's about the teaching like that's the most critical thing is is our teaching because we are teachers. But I also have always pushed back on that because the reality is that we have technologies at our available to us right now that have the potential to show us new ways of thinking about teaching and new ways of thinking about knowledge and new ways of thinking about collaboration and communication and community, what it means to be part of an academic community and an intellectual community. Those new ways of thinking are something we have to become adept at. We can't we can't necessarily ignore those things and say, but it's only about the teaching. The teaching is all that matters. So there's this interesting kind of, like I said, threading the needle or balancing act that we need to do. I think one of the things that was alarming as COVID was breaking was how much of the rhetoric was focusing on technology as a panacea or a solution to this crisis we were facing. And that's super problematic because, yes, the technology shows us new things, but we are the ones who have to make the critical choices about how we're ultimately going to enable those things or enact those things or engage with those things. So I look at like, you'll notice I think that maybe the only technique and ace that's not technology agnostic is the internet is as classroom and community. I don't think there are any others that kind of call out tech in any specific way. And that's really I'm going to say deliberate, even though I just had to question whether or not that was the case, but it really was deliberate because it's not that if you dig into these, there isn't lots of mention of technology, but for fronting our humanity in in make in all of this and our need to be able to make choices, not just choices, but informed choices about how we use technology, I think is the work that we need to be doing a better job at. It would be, you know, you would have to call me a liar if I said I don't think technology is a critical piece of the future of higher education, because obviously I think that thanks, Dave. Obviously, I think that but but I think it's so much more complex and nuanced than than we usually that we usually acknowledge and certainly then at the institutional level, it's usually acknowledged. I don't know if that answered your question, but I like saying it. So it's great. So we have we have a couple minutes left and there are a whole bunch of people who have just watched this video and they're like, I want to use it's framework. So for those people who have made it to the end of this video and are now thinking, I want to use the Ace framework. What's the first step in the process? What should they do right now? Well, on the Ace framework page, there is a link that's called how to use the Ace framework. So that's a good starting place. And there's really two ways that you can engage with Ace. And then I'll say a third quick thing afterwards. So the first is that you can just dip in and out of the practices that are interesting to you. And that's probably what I would suggest.  So you figure out what the parts are that would be helpful to you and you can dip in and out of the practices. And each practice, I think, could be kind of like a three week course on its own or it could be a half hour of learning for you. So you can use that to scale according to what's interesting. Also, if you look at how to use the Ace framework, you will see in there the workshop that Martha mentioned, it's a four week curriculum and you can run that with your faculty. We've had other institutions use the Ace framework with the four week workshop. And Martha and I are super happy to have a quick meeting with you to help you kick off the facilitation of a workshop like that at your own institution. So we won't we we don't facilitate them for other institutions, but we will do a kind of train the trainer thing and help get you ready if if you want to do it. But the last thing I would say is, you know, one of the benefits of having Martha as your collaborator is that the way we think of professional development, I think is that it is a learning community. It's larger than the Colab, larger than Plymouth State. So we're always engaging in that. So Martha is just a wealth of, you know, I may say, oh, I think we really need to tackle such and such. And then the next day, there's a new framework, you know, with clickable things. And because I think, you know, we don't really plan to rest on ACE, we plan to keep putting stuff out, revising, revisioning, rethinking. So one of the best things I'd suggest is join up with a learning community, whether that's following the Colab on social media or like checking our events calendar, if you don't have a learning community of your own around pedagogy or engaging with folks on Twitter or whatever, because ACE gives you a lot, a lot of things to work with. But I think it's less about that content than it is about ongoing conversation. And the Colab is, you know, part of our mission is to provide that beyond Plymouth State as a public service. So engage with us and future conversations, because you'll see probably some things we think now about ACE, you know, Lord knows Martha and I have been doing lots of workshops for lots of institutions about high flex and, you know, month to month, our perceptions of high flex change quite a bit. So we don't expect the content in ACE to stay stable. So join in the conversation is what I would say. Martha, last thoughts. Oh, I would just say this. If you visit the ACE page, one of the things that you will also see is that there's, you know, the ACE framework is at the center, but we also recognize that it doesn't accommodate or address every kind of every kind of situation that you might encounter in your teaching. There's lots of kind of ancillary stuff. We have a student guide for ACE. We have something called complicating the conversation that really drives into some of those situations that maybe those techniques don't feel like they intersect with. So we encourage you to kind of take the time to explore a little and and let us know if you think there's, you know, more that we could be doing on that front. It may not be that we're revising ACE. But as Robin said, we do have plans for the future of what the next step of this looks like. Can you put a logo in now? Like something fancy that's like, stay tuned, you know, some music and icon. Yeah, that's what we want. But the community can help us shape what that next that next thing looks like. So stay stay in touch. That is a perfect final comment. Thanks, guys, for coming in and having this conversation. I know that I enjoyed it, but I always enjoy talking to you guys. So I hope everybody else has a fantastic day. Take care of yourselves. Still wash your hands. Still don't touch your face and we'll see you all again soon. Mm hmm hmm. Om nom nom.


When the narcissist gets tricked by their new supply When the narcissist was with you They were never happy You were never good enough for them because they were always comparing the relationship to other people's situations They were looking at social media They were looking for the bigger better deal the next shiny new toy They thought the grass was greener on the other side And they were looking to take advantage of the next opportunity To gain something materialistic whether it was money cars or clothes Nothing that is all valuable substance So they will wander off They will lose their way and they will end up with someone who knows how to play the game Someone who knows how to manipulate people Someone who knows how to create the illusion of having something better and greater Of being able to meet the narcissist's needs And the narcissist has a black and white mentality in their minds. You're flawed You're worthless and this new person is perfect This new person is everything that they've been looking for Because they're always looking at other people's relationships They're accepting people as they claim to be They believe it without thinking about it without studying it more closely Without realizing that it's all fake. It's a deceptive outward appearance Which makes some seem better than they really are When in reality they have the same problems and issues that you experienced They have the same arguments But because the narcissist was always looking for the bigger better deal they take it at face value They believe what they see. They expect it to be better. They expect it to make them happy They expect it to be better than what they had with you, but there are a lot of con artists out there There's a lot of people who exaggerate and lie People who say things that are not true In order to seem better and more important than they really are To bait people in who have just left a relationship people who are easily impressed People who are looking for a better situation and they do that by creating an illusion and selling them a dream By inducing feelings of excitement and pleasure the narcissist ends up in this situation Because they stopped putting in effort with you They stopped giving you what you wanted and desired from them Because you showed a sensible and practical idea of what can be achieved and expected You represented things in a way that is accurate and true to life. You weren't trying to sell them a dream You weren't trying to give them a fantasy So it became boring for the narcissist they lost interest in you But this new person has created a character that is fun and exciting They've sold the narcissist they dream and the narcissist has fallen for it So they're doing more for this new person They're doing things they never did with you Because they don't realize they're being tricked This new person is giving the narcissist an illusion And the narcissist thinks it's everything that they've been looking for so they're putting a lot of effort into it Because they don't want to lose it but this new person has no intention of staying with the narcissist for a long period of time It's just fun for them The narcissist caused you to suffer in order to save themselves and gain a personal advantage They criticized blamed and punished you to get what they want and this new person was getting off on that they enjoyed it Because you were meant to be something special and important to the narcissist, but now the narcissist is with them They're doing everything they can for this new person It makes them feel important. It brings them excitement But it's short lived It only lasts for a short time And because they didn't have to work for it They don't appreciate it. So they spend it all They run through it very quickly and they're left in a worse condition than when they were with you After they said all of these things about you After they told their family and friends they finished with you And once it's over this new person is going to leave them Because they were never looking for anything serious It was just fun, but the narcissist thought it was real They bought into the dream They thought they could find a better situation than something that was already good for them But they ended up finding something that just brought them right back to reality Because life doesn't work that way.  They thought they were about to outdo you When they had a good situation with you, but they took it for granted They minimized its value. They minimized your importance Just so they could chase after a deceptive appearance Something that wasn't even real and then they ended up with nothing They ended up in a worse situation than what they were in with you Thank you for watching. I hope this video resonates with you Please like comment share and subscribe If you would like to donate My PayPal link is in the description Coaching inquiries You can email me at coacher.marksurvivor.co.uk Thank you for watching and I'll talk to you soon


At this point, I'd like to thank the Interpol for giving us the opportunity to have access to the database comprising of a million nominal datas, referral to lost and stolen passports. These things we think are very essential in ensuring that we protect our borders. We really thank Interpol for providing the equipment for giving us access and of course for conducting the trainings necessary to improve the proficiency, improve the way we do things and make us more effective in border control and ensuring that our borders are protected.