It sold for $895.95. She got it at a flea market for $10. I accepted a best offer of $450 plus $12 shipping. I paid a dollar at a church sale. $1.00. Can't believe she went for $360.99. Can you believe it? $180 for a free item? Oh my, oh my goodness. Whoa, whoa, whoa, whoa. Hey, Bolo Buddies, thanks for watching. It's from my little pony. Amazing, right? All right, let's get started. Hey, Bolo Buddies, thanks for watching. All right, you guys, I have another featured members video for you. These are Bolo Buddies Facebook members and my YouTube members. And in this video, I am going to talk to you about amazing, awesome, big money Bolo's. Items that you can hopefully pick up cheap and sell for big money.  In this video, I am going to tell you where they got it, what they paid for it, and what it sold for. These are members of my Facebook group, which looks like this. If you're not in the group, definitely go join it. There's a link down below. And if you're already in it, thank you. Thank you for helping keep it a safe place by reporting mean comments. I appreciate that. We're getting more and more reports that's helping us weed out the people who are not nice. You have to be nice if you join, okay? So what I did is I posted this, share your best February Bolo in the group, and I invited, why can't I ever say invited? I invited everyone to share their big money Bolo. So let's get started. The first item comes from Mindful Recycle Terry. And this is her YouTube channel. She's a big money Bolo finder.  I'm telling you. She's also a moderator of the Facebook group. So show her some love with a sub and thank her for being a moderator. She's incredible. And I tell you what, I dare you to go watch one of her videos because you will be hooked. Hooked. She finds the most amazing stuff. She picked up this Samantha American Girl doll at a estate sale a couple months ago for 20 bucks. And she sold it for 350. And she does this all the time. She finds the most amazing stuff and just sells it for crazy profit. So she is, she's just incredible. So anyway, the buyer paid the shipping as well. And this is what it looks like. It is a pleasant company. So it is from the 80s. It's 1986. So those are going to be worth more. But this has the box, the extra clothes. It is an incredible find. Here's another one from Terry picked up a big box of Christopher Radco ornaments from an estate sale all were priced differently. So I did an average price of $5 and 15 cents. I sold this one for 175 50 and look at that face. That is a Christopher Radco Santa Claus. Are you sure that Santa Claus? I'm not sure that Santa Claus 20th anniversary. Maybe it's Santa Claus. What do you guys think? Let me know in the comments got these at an estate sale. As soon as I saw them, I remembered you saying in a video that they were a Bolo. I found a whole box full for $10. So cost of goods came to 16 cents each. I listed two lots of three on eBay and both of them sold within 15 minutes. This one for full asking of $44.95 and an offer on the other for $39.95. They are vintage cannon reinforced heel and toe RHT stockings, new old stock. And this is what they look like. Now, I will tell you that there are some that go for crazy money. I actually in one of my what sold videos, I sold stockings. I can't remember how many sets I sold, but it was over $600 to one person. It was absolutely just an incredible sale. But they, I believe were a lot older than these. So there's different types of material that change the value. But also the packaging is going to be a good indicator of how old they are. And sometimes the advertising on the packaging. But the person that bought them from me was trying to explain it to me. But I was just like, it was way over my head. It was something about the weave and all of this different stuff. So there are people out there that collect these and they look for certain things. So some of them can go for crazy money. That includes pantyhose stockings, nylons in general. Some of them just wow, just wow. And that was a really unexpected bolo for me. I had no idea that they were going to go for that crazy amount of money. We actually sold this in January, but missed your January video. And this is a good, this is too good not to share. We picked this up at a local thrift store on Freerack. We had it listed for around eight months before accepting an offer of $180. Can you believe it? 180 for a free item that it is made of paper. We actually picked up two of these off the Freerack. The second one is still currently listed on eBay. Thank you for all your hard work. We have learned so much from you. Oh, thank you so much. I appreciate that. It is Goosebumps Haunted Library with too many books. 1996 Rare Halloween, 239.99 on that. Can you believe it? Oh, no, I'm sorry. They accepted an offer of 180. Can you believe that was on the Freerack? It's crazy, right? Like, people just don't know. I got this at the Goodwill Benz Outlet in Denver. My average cost of goods that day was $1.06. I accepted a best offer of $40 plus $8.82 shipping. Even though it's not high dollar, it sold quickly in 15 days. I've had luck with other plush creations stuffed animals too. I would recommend looking it up and getting it if you can source it cheap. So the brand is Plush Creations 1991 Bunny Rabbit in a jumpsuit and this is what it looks like. $40 plus shipping is definitely a bolo in my eyes for plush. If I can get 40 bucks out of a plush, I am like all over it and I am like bolo. Yes, this one comes from YouTuber Restless Thrifter and this is what her channel looks like and definitely go sub her up down below. I know a lot of you guys follow all of the YouTubers that I mentioned. Thank you so much for doing that. They're working really hard. Some of them have been YouTubers for a while. Some of them are brand new and they all have something for you to learn from because we all source differently. So definitely go and check them out. She has a great channel. Speaking of great channels, flipping it good. He is my member that does retail arbitrage, but he also does other stuff as well. He'll go to like yard sales and he even buys what are they called? No, not. Oh, what are they called? Oh, I can't think of what it's called. Oh, they're really cool. It's where lost cargo lost cargo lost cargo. I remembered. Yes. Yes, I didn't think it was going to come to me. It came to me. Can you believe it? Okay. You guys are thinking I'm a little bit crazy. If you're new here. Sorry. I'm usually not this crazy. I'm a little wound up. I don't know what's going on. I had a coffee drink earlier, but usually doesn't make me this hyper. Anyway, flipping it good. So he goes into like Ross and TJ Maxx and those different places and he finds shoes and clothes and I'm not kidding. The man is like, he's a genius. The stuff he finds like he knows how to source. So go check out his channel if you want to learn about retail arbitrage, but he also talks about other stuff as well. So let's get to his Bolo. I found this at a an estate sale. This is a trophy belt buckle. I bought 22 trophy. Sterling overlay and negotiated to 375. So $375 for 22 trophy buckles. They wanted 25 each, but ended up accepting my offer of 17 each. This is the third buckle that has sold this one sold for 125 plus shipping on Mercari. So awesome 17 into 125 is fantastic and I love it that he negotiated. I always negotiate. Okay, so let's talk about that retail arbitrage stuff. I was just talking about found these at Ross. It's a department store. I don't know if they're everywhere, but check your local stores Ross for 1999. These are big their size 14 and usually most people leave those shoes behind those sizes behind. These were special. So I picked them up. They sold for $350 plus shipping took three months to sell $20 into 350 and three months. That's impressive, right? That's what it looks like. Got this necklace as part of a nine pound jewelry lot from an auction. The nine pound bag plus shipping cost me $32. I listed on Poshmark after comping for $20 less than 12 hours later it sold. It's Chico's faux pearl necklace with three dangling charms in the back next to the closure. I'm still taking pictures and listing the remaining items tonight. I listed another necklace on Poshmark from the same bag. I kid you not five minutes later it sold. So I do pretty well with jewelry on Poshmark Chico's I feel like Chico's sells pretty good. It is costume jewelry, but it will usually have a little tag on it that says Chico's. If you can pick it up cheap. I definitely recommend picking it up. This is what it looks like and she sold it quickly for $20 coffee mugs coffee mugs still sell and here's a great example. Pick this up at a thrift store for 69 cents.  List it guys. List it. I asked you guys or said in another video go grab five items from your money pile and list them. Did anybody do it? Let me know in the comments. I didn't list from my actual huge money pile, but I have been listing like crazy from my money pile that is upstairs. I have money piles everywhere. It's okay. It sat in my money pile for maybe a year or more. Finally listed it and it sold in 24 hours for my full asking price of $44.95. There were none of this exact design listed. So I priced it high. It says vintage 1980s Edward Gory PBS mystery masterpiece mug detective suspect theater. Hey, this one comes from two sisters pickers. This is her eBay store and she is she picker on YouTube and she is going to start putting out YouTube content. So I will link her down below. Please go and subscribe to her channel and check her out on eBay. Purchase this statue from Donna Telebot Alino on her YouTube channel. I've spent a year learning and sourcing before diving into actual selling. I knew this was special and I had to have it figured it didn't sell. I would be happy to keep it, but I've listed a few things recently and they sold very quickly paid 30 and sold for 127. I could have held out for more but figured this might kickstart my eBay store a little bit arrive safely to buyer and receive beautiful feedback. She said I love sourcing from Donna Telebot Alino and tea auctions for you. They always have quality items and have a fun time with like-minded people in the chat who are very knowledgeable and freely share what they know. Yeah, so I will link auctions for you and Donna Telebot Alino down in the description as well. This is Italian sculptor. Galypsy Armani trumpet boy retired. Oh, I sold for my sister-in-law. She paid about $2 at a local thrift store. Thank you Courtney for your guidance. When I looked up comps couldn't find one exactly like her and prices were all over the place. I decided to do an auction like Courtney says she does and start at high at 85 really thinking she might go for 150 six bidders, but they must have wanted her can't believe she went for 360 and 99 cents and they paid immediately. Plus she was naked. Oh my goodness. You gotta love it. This is what she looks like.  Oh, that is awesome. Congratulations bought it for 299 at a local thrift store wasn't really sure what it was, but it was new and when I looked it up comps were good sold in one day for 3272. I was running a sale not an exciting item, but I love the profit and it was a quick flip right. So that's always a good thing as well. It is a single pole ground fault breaker circuit interrupter. So that is one thing that I mentioned when I do my Goodwill Benz videos. If I'm sourcing in the Benz and I find something that is in the original packaging. I'll typically pick it up because it's in the original packaging and it's pretty cheap. So cheap is good, right? Oh my, oh my goodness. Whoa, whoa, whoa, whoa. This one comes from YouTube channel piece of scrap. And if this doesn't make you go subscribe to her. I'm just not sure what will because this is crazy. I accepted a best offer of $450 plus $12 shipping. I paid a dollar at a church sale. $1 into $450. Yeah, that's what I said. They are lose specialty dress vintage pageant satin size to. Crane, uh, crinoline, crinoline. She sells clothes so she knows these words. I think this might be a clothing word crinoline, ruffle lace. I don't know. But anyway, their vintage kids dresses. Now, I am not sure if these are full circle or not. One great word to put the title as pageant. But if you can take the dress and fan it out and it makes a full circle, you need to put full circle in your title and that should be your main photo. Okay, I'm guessing these are full circle. So it's going to be a full circle the bottom and then the little top part of the dress. I'll try to find you guys a photo will be laying on the top and full circle major good keyword, but she didn't have that in the title. So I don't know for sure if these are full circle, but that is just a Bolo buddies tip of the day, right? Okay, so that was a great sale from piece of scrap and her eBay store is linked down below too. These little guys were purchased at the bins cost of goods 50 cents sold on sale within a couple months. I always pick up Russ plush small and soft and floppy. They are Russ Berry UK Halloween kitty beanie plush floppy black purple cat. Two of them here 5929 this comes from Bolo buddies member dare to dream big 1313 and this is her eBay store. No YouTube channel purchase this doll at an online auction. She's Hasbro J Turner real baby. She came with her original tagged real baby outfit which I changed out with a vintage dress and bloomers set. I got from Bolo buddies on what not. Yeah, she got this at my what not sale. I was selling vintage baby clothes and she sent me pictures of her baby dolls in these cute little clothes that she bought for me and I'm like, oh my goodness that is so stinking cute. I'm going to try to find the messages of the pictures and I'm going to pop them up here for you guys to see how she buys vintage baby clothes and put some on these baby dolls. It is absolutely incredible and so cute. So anyway, she said I sold the doll for 49 and her original outfit for 29 on eBay. So what she did she took the original outfit off sold it for 29 put an outfit that she bought from me on what not on the doll and sold the doll for 49. So average cost of goods was $6 for the doll and $5 for the replacement outfit.  Oh my goodness. This is an incredible story. I love it and this is dare to dream big 1313. Definitely check out her eBay store and if you guys are not on what not. Oh my goodness. It's a great place to source and if you want to sell I have a selling link down below. They're two different links but if you want to buy on what not the referral link down below will get you $15 to shop. Okay, so that's $15 of free money with my referral link so go click on that join what not it is incredible. I love it. I have been sourcing on there myself hope to have some videos for you in the future. If not videos of what I actually buy you're going to see my what solds because I've already sold some stuff that I've sourced on what not so super super fun platform to just go and hang out on so check that link out down below and let's get on to the next one here. Courtney is right. I like the sound of that my name is Courtney. Okay anyway just being silly. Those high dollar plushies exist and can be found this nondescript plain old nerds candy plush caught my eye at an estate sale by the way on day three because it wasn't your typical bear dog bunny etc. Price was 50 cents the tag said Willy Wonka brands and that triggered a memory from one of Courtney's earlier videos about high dollar vintage candy man this Jerry is he is listening he is paying attention in which she talked about Willy Wonka candy items bringing in good value because they know long they're no longer made there are no other green w w nerds plushes currently listed none sold in the last 90 days I checked Tara peak and found one that had sold for 50 since mine seemed to be very rare I decided to push the price up a bit and threw it on eBay for $79.99 with a best offer option I figured I might be sitting on it a while turns out it sold overnight in less than 24 hours for pool asking price not best offer $79.99 plus shipping Jerry it might have been a $300 plush remember always do an auction started start your auction at $79.99 and just see you might get like some crazy bidding war you just never know you can always put it on by it now okay so that would be my recommendation for if you have items that you just can't find a whole lot of but he is correct I do have a video on vintage candy that is for advertising that is not candy you're going to eat but really really crazy prices that vintage candy can go for you can check out that video as well Jerry's been around the channel for a long time he's been watching me from the very beginning I think he's probably close to one of my first subscribers Jerry's short I'm sorry Jersey Shore thrifters is his eBay store and this is the plus she sold thank you Jerry for the fun story I always love your stories got this at my local flea market for $10 I had someone from Qatar messaging me within two hours got put on new eBay shipping and I didn't have it set he messaged me every hour until I got it fixed and bought it immediately I guess the buyer was scared someone would get it before they could it was priced a little high after researching best below ever oh my goodness wow rare McKenzie Childs wall quartz spiral table lamp stamped 1983 $895 and 95 cents it sold for $895 and 95 cents she got it at a flea market for $10 and somebody was messaging her within two hours because they wanted it so bad but her international shipping was not set up how crazy is that okay we're going to end this video right there because that is one amazing incredible Bolo which one was your favorite so many good ones in this video thank you guys for being here thank you for watching stay tuned for more because the more you guys share the more videos I have and I think last month there was like eight or nine so if you guys missed out on the best January I think which month it was the best January Bolo's oh my goodness go check them out because just incredible thank you guys so much for sharing your knowledge with everyone this helps us all learn including me I really appreciate it I learned so much from all of you and I just appreciate your generosity and not keeping it a secret because I do feel like there's enough to go around there's enough to share and these items a lot of them they're not sitting everywhere these are harder to find items but knowledge is power so if we have this information when we go out sourcing we're going to find these items you know we may not find them tomorrow we might not find them next week maybe years from now but we are armed with knowledge all right guys thanks so much for being here thanks for watching leave me a comment down below and I will see you the next one thanks for watching oh go share Bolo Facebook group here I am right now thanks for watching I accepted the best offer I accepted a best offer of $450 paid 12 oh start over start over she's got me all out of order here


So hey guys, welcome to come again if you're new make sure you hit the subscribe button and a little bell Count below hit the like button and maybe even share with your friends Good job. We have cookies and milk might be seen in that shirt All right guys welcome back to come again today, I'm gonna be reviewing the Funko Pop movies 2016 Ghostbusters number 304 Erin Gilbert, I will also be reviewing this is my wife's I got for Christmas got her for Christmas The 10th doctor David Tennant Funko Pop Don't have the box. She threw it away We can do So and of course right here We have the last my last Funko Pop review Pop television DC's legends of tomorrow number 381 firestorm This was my first Funko Pop This is my wife's first Funko Pop, and this is my second So let's get down to it guys and Here are the figures in the collection. You have Patty Tolman, which is 302 Abby Yates, which is 303 Erin Gilbert 304 Jillian Holtzman was which is a very popular character, which is 305 Kevin played by Chris Hemsworth 306 Gertrude Eldridge 307 and Rowan's Ghost, which is 308 Compare this to my only other Funko Pop figure so far Firestorm from DC's legends of tomorrow, which is Pop television 381 And it it's pretty close in size, you know, of course Erin Gilbert stands up a lot straighter Firestorm has is crouched down a little bit And of course Erin Gilbert has the black eyes as opposed to firestorm who has the white eyes Here's the bottom of the Funko Pop package Funko Pops have become very popular in recent years. They're really Toys are more collectibles I just recently started getting into Funko Pop Like I said, my first one was the firestorm from legends of tomorrow This is for ages 14 and up. However, I Wouldn't see a problem with Giving a younger kid mmm Any of these Funko Pops there there aren't really any small pieces you'd have to worry about I Purchased my wife the 10th doctor for Christmas of the Funko Pop. So in fact, I'll be right back I'm gonna go grab that real quick and show it to you guys All right, so here he is the 10th doctor purchased for my wife for Christmas No real articulation at all other than the head swivel His Sonic screwdriver is pretty small So you do have to there are some minor Things you have to worry about with younger kids like you wouldn't want them to By the Sonic screwdriver off but other than that And they're pretty solid characters Like I said use your best judgment when buying a Funko Pop character if you see anything too small in their hands like Sonic screwdriver of the 10th doctor Probably wouldn't be good to get it for anyone under the age of four Someone like firestorm Who has no small pieces? I'd say would be good for just about anyone. However The fire on his head Might be a little pokey So maybe Maybe anyone under the age of three I wouldn't get this for Now I already went over the packaging So let's go ahead and open this bad boy up. I will be putting her I May put her back in the package I don't know. I have a shelf of Ghostbusters collectibles so I Don't think the box would fit on that shelf I Make you still keep the box But just take her a lot of nice looking detail on this figure as you can see the fingerless gloves There is a little bit of Paint problems on the knuckles there But with such a small figure it is very difficult to be completely accurate with paint the head does Move all the way around as with most Funko pops. She does have the black eyes She has bangs Brown hair ponytail Just like Aaron Gilbert had in the 2016 Ghostbusters movie as you can see she has her hand placed on her hip All the fine little detail of this figure is just amazing how they were able to do it They've got the no-go slow go Painted right on her shoulder and it is There is a little bit of paint air to it But they were able to get it for the most part. I'll let it go I'll let it slide since it is such a small area But as you can see, I don't know if you can tell or not But the eyes and mouth are painted on the no-ghost symbol You've got her pockets even the studs on her gloves are painted Nice little silver paint silver and orange paint job on the reflective surface of her jumpsuit The studs on her boots are painted really nicely They even get all the little details of the proton pack Let's go ahead and turn her head so you can see that proton pack a little bit better as I've said before with my Abbey gate Abby eights figure the positron collider or the wand is Not the actual wand they use in the movie This is actually the the original Proton pack wand from the original Ghostbusters In the movie if you recall they had to actually hold it from the top and From the barrel and this it seems like The handle is there as well as there Which is just like the original Ghostbusters proton ones very nice figure See how she stands up To the 10th doctor she does have a little bit of a balance issue because she has such a Narrow stance and she's just a little bit shorter than the 10th doctor and Because she's so top-heavy I think I'm gonna have to keep her in the package in the box In order to display her there's just no way to display her on a flat surface Without leaning her against something You know She she's gonna have to be in her as you can see Well, actually I didn't even see this before She does come with a stand It's a clear stand has little pegs. There we go All right So she will stand they did include a base for See if I can get this there They do includes display stand for which They obviously put right there Very hard to see especially considering it's a clear plastic But I'm just pleased that they did include the stand Overall, it's a great great character lines up Great with all the other Funko pop vinyls Great attention to detail This is of course only my second Funko pop vinyl figure I'm really enjoying them. I'd like to find some more of the Ghostbusters vinyls to complete my collection and I believe I'm going to be looking for Voltron as Well as a few more of the Firestorm figures, there's multiple versions of Firestorm out there So now let's go over David Tennant the 10th Doctor if you aren't familiar with Doctor Who Doctor Who is a BBC television series. It's been on since the 1960s. I believe so as you can see the doctor has his standard black eyes his Scruffy hair David Tennant is He's a chameleon when it comes to acting You see him on Doctor Who and he looks a lot younger than he does in person You see him on any other TV show and he looks a lot older. He looks like he's in his upper 40s in Most movies and in person and stuff whereas on Doctor Who when he's playing the doctor he looks like he's about 20 to 25 years old really I don't know a whole lot about The David Tennant Doctor I came into the series with Matt Smith David Tennant is of course my wife's favorite doctor Peter Capaldi has become my favorite doctor But as you can see he has his famous trench coat Sonic screwdriver blue suit white shirt and brown tie with his looks like converse tennis shoes Which is the style that David Tennant Doctor Went with each doctor when they regenerate has their own specific specific style Which helps refresh the character all the time so you don't get the same personality with every Character Eric actor who plays the doctor as you can see just like with David Tennant's doctor He does have the blue light on the sonic screwdriver Matt Smiths was green I believe and I believe Peter Capaldi's is yellow I could be wrong but and again with all Funko pops his head and turns all the way around and Just looking at him you can tell They got the hairstyle perfectly to be able to can see him as David Tennant The paint detail on this character There's a little bit of paint bleeding along the hairline Other than that Not a whole lot to be worried about I haven't seen any other spots that show a careless paint job this was made in 2015 in Vietnam and find more of these on Funko comm and I think that's about it for the doctor and for Aaron Gilbert, so Yeah great characters great toys great collectibles and If you want to just decorate your desk or a shelf They're great for that So there you have it My doctor who and Aaron Gilbert Funko pop TV and movie review


Good morning, everyone. So we changed the title slightly, because we wanted to add not only the database part, which we are going to explain, but also everything else that you can do in modern applications using data lakes, big data and machine learning. So in today's world, the old paradigm of just having a single database, a single system in which you would just try to add as much data as possible. It was row-based, and that was the only thing that you could do to maintain your system main friends as well. It's actually not coping with the needs of customers. We, as Amazon, ourselves, used to be based on traditional database technologies. And as we grew as a company, we started to be challenged by data volumes and by finding workloads like the e-commerce, like machine learning, big data that the traditional row-based databases didn't work for us. So we've seen from our customers that the need of the e-commerce, so for the e-commerce, the traditional databases relational don't work. We find key value and document databases much better fit. Media streaming, how to collect all the data, how to actually analyze the data and be able to get and obtain information that you can enrich with your application afterwards, social media, gaming, and all sorts of applications. And also take into account the response times. Many of the e-commerce, Amazon, or anything else, at Christmas time, they have peaks of thousands of users that actually need to connect to the same platform. And you need to scale, too. You need to be able to have a database, a system that actually allows you to connect to the platform without having an impact in performance. So those are many things that we see from customers. And depending on the pattern of behavior, depending on what the customers want to do, we might recommend one solution versus another. Rather than telling them, eat only one database and do everything with that database, we will actually segment that by the patterns. So that is also bringing us that it's not only about databases. Today, we need to take into account that there is a significant amount of data being created from those databases, and you want to analyze it. You want to do things like forecasting. You want to do things like recommendations. You want to add information coming from IoT, and so forth, from social media. And that is a challenge that you need to take into account as well when building those modern applications. The microservices. So we are a company that will help you, and that's the main thing of today, with specific solutions that will help you driving a microservice-oriented architecture and a strategy in your company. So everything we're going to talk today is a service. You don't need to maintain it at all. You need to focus on your application. Everything is an API. Everything is fully integrated, and you can actually drive more successful your microservice strategy in your company. And the DevOps. In order to be very agile, you need to have systems that allow you to be agile. If you keep doing the old things of maintaining, patching, upgrading, scaling applications on databases and systems, then you're not going to be this agile. And that's super important in every conversation we have with customers. And this is a trend why they're using specific money services from AWS. So why is that important? Because today we see that many of the things that you might be doing, if you're not using services, cloud services, money services, and you do it yourself on pure bare metal or compute capacity, is that you're going to spend more time in maintaining the system, unless time in building that application. I was in Mallorca a couple of weeks ago meeting with a company. They've been spending the last two years, for example, in building a data lake on a database, which I think is wrong. And that was because they were building everything themselves, rather than focusing on, let's build a data lake with a solution that scales. Let's build a data lake with a solution that doesn't require me to do the heavy lifting. I'm going to spend most of the time on the heavy lifting on the business value. Guess what will happen after two years of you trying to make something work? You're at risk. The project is at risk. And that's what we want to help you guys with. And we want you to actually focus more on the business use cases from the IT perspective, focus more on delivering what the business want on those applications, unless on the heavy lifting, less on managing the solution. And that's a super important paradigm that the cloud brings. If you're going to use the cloud just to do exactly the same you do on premises, don't do it. OK, OPEX, CAPEX, you're going to save some money? Yeah? But all the agilities know about having compute capacity only, which is important for certain workloads. It's about how can I improve and shorten the time to value in those applications? How can I be more agile as an IT department? How can I meet more of the business requirements with those databases, rather than creating indexes, patching the systems, and scaling the systems? So that is something that you need to think yourself. If you have any questions, you will have a booth outside to the left, and we can actually answer any questions. Because that is what I said. You can actually focus on those applications. You can actually focus on what the business requirements of the companies are. And you can actually focus on the needs of the business. And I've seen many IT departments that have passed from a call center in which they were seeing people that spend money and delay business projects to people that actually drive innovation in those companies, drive new applications, new adoption, new use cases. And that is super important for you to remember. So as I said before, you could try to fit any workloads into a single database. You could try to fit an ERP, CRM, into a transactional database. Yes, that's the right one, probably. Especially if you have something like SAP, or I call those transactional databases beneath. But then if you try to push those transactional databases role-based into analytics, then you start to struggle. You need to actually start building indexes and aggregates and many of the heavy lifting and partitions and many of the things that you don't want to do in analytics. And if you want to, for example, create a new web application, how many times have you been to an app on your mobile and you click on something and it takes forever? That's not normal. And that's probably because they're using the wrong technology. If they were using something like a key value database or document database, they would get faster performance and a better customer experience by using those applications. If you're having IoT applications that you need to actually store data, you need a stream series database. So there are many things that you will need the right to for the right job.  Sometimes you need a knife, sometimes you need a fork, spoon or chopsticks. Depending on what you are eating, you need a different tool, a different instrument to do that.  He tries to eat his soup with a fork. He tries, he does, eventually, after two hours. But it's not the right tool to do the job. And that's why we're recommending that whenever you have a new workload, whenever you have a new application, you really consider what is the right solution beneath that application. And we are here to help you. We can actually make recommendations. And the beauty of this is, again, we're not asking you to install anything. We're not asking you to maintain anything because most of those services we're going to propose are either serverless already or very managed and advanced in terms of you don't need to do much in order to maintain those services. What you need to care about is your application, the value you want to bring and the business solution you want to put in the hands of your customers. So let me give you a highlight of the different solutions, different databases and different technologies that you can use in your modern application. First, relational. If you have any projects in which you want to use Oracle SQL, MariaDB, MySQL, Postgres, and so forth and so on, you can use RDS. RDS is our relational database service. It's fully managed. You don't need to manage that. We do the backups. We do the snapshots. We patch it. We can actually have standby. We do everything for you that is heavy lifting and you just need to bring your application on top of the RDS service and it will scale for you. Inside that, we have two major databases are called Aurora. Aurora for Postgres and MySQL that are giving you the performance and the scalability and the features that an Oracle or an SQL server database could have. And we have tools to migrate from Oracle SQL Server to Aurora and it's fully compatible with the open source technologies. And giving you the performance that you require to build those enterprise-ready applications on transactional databases. And it's a service. We also have key value. So remember I told you about Amazon. We were running on a database. We migrated that database to something called DynamoDB. DynamoDB was based on the Dynamo paper. I don't know if you read that paper was the first no SQL white paper that we created that was created around the world and it's based on key value. So if you have application like e-commerce, like mobile applications and so forth and you want the super fast performance database in which you don't focus on the schema. So the schema is not defined, okay? It's a schema less and you focus more on the application and what you want is super fast performance and whether you have one user, one million user connecting a single point in time and it will scale for you. That is DynamoDB, okay? So that is what is behind Amazon.com. That is what is behind Jatam. That is what is behind many applications you use today. Not only from Amazon, from many vendors. If however, you are coming from the world of a document store. By the way, Dynamo can do that as well. You can use Dynamo to store as well document in JSON or if you like how Mongo works but you prefer to use a money service from Amazon, we have a database called DocumentDB. So DocumentDB is fully compatible with MongoDB. It uses all the APIs and you can just migrate that. What we will do for you is just to make sure that we manage, scale and optimize the system for you and you spend less money in managing the database, the underlying database. If you have applications in which, especially with relational, we have seen that a lot but also in machine learning use cases. If you have applications that need millisecond response time, super fast response time, okay? We have actually a service called Elastic Cache. Elastic Cache is supporting Redis, Memcache. It's the open source technology you know but we manage the service for you. So it's fully integrated with the RDS system so you could actually say that you can do lazy caching in the Elastic Cache and you can actually use that for any transactional application. I've seen as well in my conversation with machine learning that some models require certain data for the model to be super fast because it's like a recommendation engine with many parameters in an e-commerce and I've seen that there are data scientists as well caching certain values in Elastic Cache so the data that is being sent to the model, to the inference is actually based on the data in Elastic Cache. So anything that you require acceleration of time to value in terms of response time, we've seen that in a lot of transactional systems that is Elastic Cache and we have that as a service as well. Graph databases. If however your use case is unique to understand relationships in between people or machines and you want to have a very scalable but managed graph database, we have something called Neptune. Let me give you a use case. I was talking to an IT department, they have the mainframe, they have different systems, they are afraid of touching certain computers because they know if they touch that computer they don't know the impact and the relationship of that system versus the other applications. So they are building a system based on Neptune in which they are going to actually load from the logs all the relationships, the graphical relationships of the different IT solutions and infrastructure so that if they didn't need to do a patching, if they didn't need to actually decommission a mainframe or a cluster or a server or an application they know immediately what is going to be impacted and they decide whether they want to actually do it or not and the risks because they understand the full relationship between that. Also for security of fraud, if you want to understand who is talking to who, who is actually the closer person to into that relationship and so forth, all those use cases that are more related to the nodes, the connections, the path to that person, the network, those are very well fitted to graph databases and that's why we have something called Neptune. Time series, if you are in an IoT project, most likely you would like to store the data as it is happening in data series and for that you could again try it with all the databases but why not to try it with a database that is fully defined and architected to actually store that data efficiently. We have something for that as well, time series databases. And last but not least, if you're looking to the world of blockchain, okay, anything that needs to be traceable, any application that is going to be dependent on the blockchain concept, we also have a ledger database available for you. So as you see, you could try to do everything with that guy, with the relational database. What I've seen is that most of the time in my work, I will be a very big effort to do that and that's what we want to avoid to you guys because everything is in the same platform. You just choose and pick whatever solution is better for you and the learning curve is very little and you focus on the application, you don't focus on the database. Also, once you have all that data, you probably heard or you're probably familiar with the concept because the conference today is about data, how much you're learning, the concept of the data lake. We can also help you and we'll have an schema at the end, a whiteboard to explain everything put together. We can also help you building data lakes in weeks rather than month of year. Remember the customer I was telling you before? They were building a data lake on a database and that was the wrong decision. They've been struggling for two years and they're now considering moving to our data lake. So we can help you building a data lake in weeks. We have a technology that takes the best practices, can capture the data from guys all these databases and third-party databases and on-premises databases. So we can capture that with crawlers. We can actually build a data lake which is decoupled from the application layer and will give you all your data in a data catalog. It will do the cleansing. It will give you the data catalog with all the key values. It will give you permissions and security rights. It will give you the power to actually store the data in the raw format because remember, it's decoupled. You don't need to actually put that in a Hadoop cluster, in an HDFS. That's the wrong thing if you actually build a data lake on HDFS. The right thing is to have a data lake regardless of what you are going to use on top of. Hadoop, Spark, data warehouses, machine learning, that's the right approach. So we can also help you when building those modern applications to store and capture all the data, transactional data into the data lake and then you apply what is the right tool for you to analyze the data. Whether it is analytics with Hadoop, EMR, data warehousing, streaming data, BI, or queries directly to the data lake or whether you want to actually build your first project with machine learning and we will touch on that in a second. So let me give you a few examples of customers using the three paradigms, data lake, the analytics, the machine learning. So this is Capital One. Capital One is one of the major financial institutions in the world, they are based in the US but they also have offices in Europe. They fully migrated by the way all the solutions to AWS and then one of the reasons why they migrated to AWS was of the database, analytics, and machine learning managed services. They didn't want to manage that anymore. So they migrated everything together with the security. So this application, for example, or any of the applications they are building, they're choosing the right tool for this application they're using DynamoDB, it's a mobile application. In the old days, everything was dependent of the main frame in the company. With DynamoDB, and it could have been DocumentDB, it could have been the right solution for the right job, they're actually having very good performance in terms of response time for a mobile application which is super important because we could be, and pardon what I'm going to say, lazy and try to use the same database but if the performance is not good, sometimes it gets frustrated with some mobile applications and it stops using them. And that's not what you want to do. That's not the behavior you want to drive. What you want to drive is that people stay on your application, feel comfortable with your application, actually use you more on the application. And that's why they selected DynamoDB because that was perfect. It was key value, response time was super fast and I could do that very quickly and focus more on the design of the application rather than the maintenance of the database. DynamoDB and Domino's Pizza for every channel and from every portal that they build on top of us, they have embedded in top of that, they have got the data from all the transactions you as a customer from the transactional systems and they actually build a data lake and on top of that data lake, they're using an AI service, okay? So they have embedded into the application, interaction with customers, a recommendation engine, but they didn't know how to do that recommendation engine so they use an AI service called Personalize and Personalize is based on what Amazon.com have done for many years in terms of recommendations is using O2ML. So you could actually have your application on a database like, for example, MySQL. You could capture the key values of those information insights from those customers. Run a recommendation engine using Personalize. Personalize is going to learn about your data. So the model is going to be learning about the data or better say the solution is going to learn about the data and create a model based on your data, it's O2ML. And then it will create an API. So that API is now connected to the portals and when you connect, when there is a campaign, whatever, it will actually understand who you are and make the right recommendation depending on the profile. And that's a way to actually enrich as well and to have better capabilities into applications. Another example is Expedia. Expedia is doing exactly the same, have a portal, it's running on databases, it's capturing the data. It's also storing pictures. So it's enriching with further data, the information they have about hotels and what you like. And what they do with that information about what you like and the hotels and the pictures is they run a machine learning model on AWS that actually renders the right picture for you. What is the right picture to have successful in getting the hotel? What is the best picture to make a recommendation for you? So it's not only about the database, it's also about collecting the data and it's also about how much you can enrich with third party data that before was impossible or difficult and now we're making that possible. Think about Netflix, guys. What is Netflix when you connect, doing? What is the thumb that you're getting? It's slightly different than the one that your partner or your kids are getting because they're optimizing the picture about the film depending on what you like to make you more attractive to actually click on that picture and therefore watch that film. So that is actually something that in any applications we can enrich as well with the right engines. Let me put that all together. So you want to build your model applications, okay? So you have your application layer but what are the needs? What are the things that you need? Remember we were touching different things. You might want to have an ERP. You might want to use a transactional system because there is another angle that I like to comment. It's also about you having the choices of what you want to use in a single place. So if what you want to use plus the use case is better fitted to use transactional databases which is an ERP or CRM, okay? You will go one path. However, you are starting your new e-commerce. You could try to do that with the relation database but most likely you're going to struggle that we did many years ago. That's why we moved to NoSQL for the e-commerce. You might have new applications. It could be a mobile application or it could be a social media application or security application or fraud detection application. Anything that is slightly different and the way to store the data in a transactional database is not the best suited way to actually have the best performance to scale which is very important because you're small. You want to scale eventually. You will need to take that into account and you don't want to actually do that by yourself. That's why we help you with the managed databases. And those are significant different use cases. So for the first one, we can have the others, okay? So we could put Oracle. We could put SQL Server if that's what you want to use. That's good for us as well. However, if you want to move from SQL Server or Oracle because you want an open source databases, we can also help you migrate in those doing transformation to another open source database but fully managed by us. So it could be MySQL, it could be Postgres and so forth and so on. And you can add in terms of performance, especially for shopping lists, cards and things like that in memory capabilities by using elastic cache. And that is fully integrated with the RDS service and you can use it straight away. However, you have new projects like the e-commerce and then you can choose a different database. So you can use DynamoDB for key value and documents, okay? So anything that is a mobile application, anything that is an e-commerce, anything that is super fast, key value, find the value, do that also for developers. When you have, I didn't mention that before, but when you are defining an application, you have the dependency of the DBA or the database administrator. If you have a NoSQL database, you don't need to tell the DBA how to create the schema and how to maintain the schema because it's schema less. It will write the values they happen and you will have a key value, an index that you will use as an option. It could be an ID from the customer, but everything else will value in time, will change in time. And then you can be more agile as a developer to create those applications not having dependencies on the database. Same with DocumentDB, especially if you like Mongo or if you want to migrate from Mongo to DocumentDB. Neptune, if you want to have that graph experience on how to create or understand relationships between nodes, between personas, between machines, we can use graph databases. That's good. That would end there, but we want to help you in reaching and creating those applications with more capabilities. So what we can do for you is helping you build in that data lake, which is based on S3. So, for example, Netflix has a 25 petabyte data lake on us. Okay? It's full independent, guys. We're not telling you even to use one of those databases. It wouldn't make sense to build a data lake on a database. We ask you to actually have, or we give you capability to have a full independent data lake technology. It's decoupled, so you don't need to have any compute capacity. You pay less, by the way, because of that. We have a life cycle, so we can have actually different temperature of the data, hot, warm, cold, and you will pay less. The more data you put there, the cheaper it gets. And as I said, we have crawlers. It will crawl. It will actually find and identify the values. It will actually do fuzzy matching for data cleansing. And it will help you accelerate in the time to value of a data lake. So that will give you, together with web logs, sensors from IoT, social media pictures and videos, images. It will give you a full 360 degree view of your business. That's good. I have the data. It's secure. I know what to do. But what can I do on top of that data? First, you can do analytics, okay? You could do, if you like the world of Hadoop, you can use EMR, okay? And there are many companies using EMR, Hadoop, Spark, the ecosystem of big data to run modern application, to do sophisticated analysis on top of the data lake. But the value is, guys, look at this. The data lake sits at the bottom. The analytics sit on the top. There is a full integration to have full capacity of connecting to the data, but also great performance.  So you don't need to install a full cluster to be 24-7 and pay for that. You don't need to install all the components on Hadoop because you need to, just in case, you can just spin up whatever product or service solution inside Hadoop, like Impala or Presto or Hi, whatever you want to actually launch, you will launch it with the right version. We have different versioning, so you can choose and only launch five-node, 100-node, 10-node. Do the calculation, the computation in time. Save the results and that can be used in your application or have a cluster that is smaller, just serving traffic to the application. The second option is, if you don't like the world of Hadoop and I met a customer in Germany on Monday and they don't, they are more inclined towards data warehouses, but they like the concept of a data lake. You can launch something which is another database called Redshift. Redshift scales automatically horizontally, okay? Redshift can have the very hot data of an iceberg inside the cluster on the disk, but look at this, this is very unique. You can read directly from the data lake and only pay for the queries you execute. So you could do very sophisticated analytics either on Hadoop with EMR or with the data warehouse with Redshift directly into the data lake. And you don't need to pay for a Humongous cluster with all that data in it. You only put the very hot data on the top of the iceberg. That is going to be recurrently being consumed on daily basis. And eventually, when you need that query once a week or once a month or once a quarter, it will actually query the data from the data lake and it will join the data from the hot data. Then you can serve highly sophisticated analytics, things that need to be computed very quickly like columnar databases, not transactional databases, and embed that into your application if you want, okay? Then you can do machine learning. Again, the same place where you have all your 360 degree view of your business can help you running machine learning. So we have two options and there are two strategies guys when running machine learning. One is data centric, which is you build a data lake and you have a data scientist team and then you use something called SageMaker, which is our platform for machine learning. I will describe that in a second and how it works with applications. The second one is if you have a use case that is very well-defined today and you have the set of data for that use case like a recommendation engine, but you don't have data scientist, you can use an AI service. So you didn't need to have data scientist in your team, in your company to do that, okay? So I will touch on that in a second. So SageMaker, coming back to SageMaker is working with TensorFlow. 84% of the TensorFlow workloads are on AWS. MXNet, Spark, ML. We have different algorithms that are super fast. We can guarantee that the performance when training the model from that data lake is going to be very, very efficient and the GPUs and CPUs are going to be never idle. The second one that is about service and this is the message today. Why services are so important is when you train either with Hadoop or with SageMaker, we give you a capability that is very unique in the market. It's called SPOT. SPOT means we can save you 90% of the cost of a training model because we have so much capacity. So if you take us, it's the aggregation of many of the other vendors together multiplied by several times, okay? Because we have so much capacity at a certain even point in time, you can decide to tell us, okay, Amazon, for this training, I want to do it at 11 at night when no one is consuming these GPUs and CPUs and rather than paying this amount, I want half of the price, or up to 90% of the price saving. And then that training of the model, that insight, that recommendation engine that you create, that anomaly detection, that whatever you want to do with machine learning will actually be done at a significant, slightly smaller amount of money. And it does not trivial, guys, because many of the analytics and machine learning projects don't go to production because it's too expensive. The cost of doing ML, or AI, is so expensive that even if the value of the use case is there, the cost is superior. It's avoiding us from going there. So that sophistication of having a platform that connects the, give you an API, because SageMaker will give you the same as the AI services, will give you an API. You can do A.V. testing. We do the hyperparameter optimization for you, by the way, guys, and we will actually allow you to have an API that you can have up to five different models and then you can do the A.V. testing. That API can actually be connected as a recommendation engine, as inference, and you will elastically, also as SageMaker, allow you to elastically have capacity for as many people connecting to your application asking for recommendations to serve that traffic. So it's not only about the training, which is one part, it's also about the inference that we can do for you guys. And by the way, you can export that as well to the edge. So the model string on SageMaker can be exported, and can be compressed, and that can be run on a machine, on a car, something like that. So how do I monetize that data? So I have my applications. I choose the right database. I enrich that with data in a data lake, and then I choose my analytics, and I choose how to enrich and has my model. So you can do BI with that. So we have a service called QuickSight in memory as well. So we have many companies embedded embedding into those applications, a dashboard on QuickSight, which is in memory technology as well, and you will pay maximum 30 cents for every 30 minutes that a user is connected. If a user is connected more than $5, that's the maximum they're going to pay per month. So that's a very compelling, super fast in memory technology on top of this analytics that can be embedded into the application, another engine that you could enrich the application with. We can help you doing forecasting. So we have a service, an AI service. You can create the model yourself, or you can just have the right data and do a forecasting model using something called Amazon Forecast. It will look at your data, it will cleanse the data, it will select the right features, the columns, and then it will create a specific model for your business that is exposed as an API, and you can do a forecasting into your application. Demand forecasting, workload forecasting, financial forecasting that could be included inside your application. You can do personalizations exactly the same concept, but based on 20 years plus of experience on Amazon, doing recommendation engines. So if you want to create your own model for recommendations, usage maker, it will make you more agile. If you don't know how to do it, you just personalize. You can start tonight. So I was in Dubai a month ago, the city of a perfume company, Spanish guy from the north, actually made it work in one evening, and they're putting two people that were doing forecasting doing something else because now they have a solution that can be embedded into the forecasting of the company and know the exact amount of product that they need to send to the shops. So that is forecast, but also for personalized, for recommendation like Domino's Pizza. Image recognition, guys. One thing that people forget is you collect data, but you can enrich the data about that. Imagine you have an application with pictures, guys, and videos. Imagine you want to tag those pictures. You want to have the gender, whether it's appropriate as a content, so we can block it. You can detect whether it's a female, male, age, maybe for security because you want to recognize the face. You want to enrich, especially in media, companies that are super popular at the moment. We can have you and give you capabilities to enrich the metadata around pictures and videos using a service called recognition. Save it back into the data lake, and you can use that to have a more richer experience of the information to actually do better recommendations in your application. Comprehend, if you want to do sentiment analysis, whether the people are happy or unhappy with the feedback they're putting. So you can use comprehend. We have a demo, you can Google that in YouTube, in which there is a call center. People are calling the call center, and automatically using our voice services, we are putting that voice is being translated into different languages, like in English, and then that voice is being analyzed in real time, we comprehend, and we are giving the call center operators the capacity to understand whether it's positive, negative, or neutral, also detect organizations, times, and things like that. So that could either power your application in real time, like with chatbots, or enrich your view of the customers, and then you can have capabilities like chatbots to actually help and support the customers with the right recommendations based on the other engines and data, or even your own employees when they don't know there are many companies today embedding chatbots into their operations to know exactly what to do next with a customer, to share the knowledge base of people that have been in the company before. With that, you can fit back into your application and you have the perfect circle of how to build a modern application that goes beyond just a traditional database, use the right database to scale, and reach with that data and other pieces of data, a data lake, and reach that application guys, don't go there. If you want to really be competitive, more than to bring extra value to actually create new experience for customers, collect all the data in a way that is not expensive and insecure, run analytics or machine learning with the right approach, other you have data scientists, usage maker, or the AI service, then create the key insights and the key capabilities you want to embed into the application, and because everything is an API, it can be connected to the application. Thank you. I have one and a half minutes. If anyone wants to ask a question, I'm happy to. If not, I'll be at the booth and then we can talk at the booth as well. Thank you guys.


This is the narcissist's ultimate karma. When things turn out badly and become less pleasant, the narcissist thinks they can do better. They try to replace you with someone else because they think they can do better. They're trying to gain an advantage over you by doing or having something better. They're trying to keep one step ahead of you as their competitor or opponent by being in a position that is better than your position. They're trying to outperform and outclass you. They're trying to expose and discredit you by revealing your faults.  They're saying horrible things about you to their family and friends, which is why everyone begins to show suspicion and dislike towards you. They begin to express disapproval and contempt because the narcissist is dragging you through the mud. They're publicly saying false and bad things that harm your reputation. They're involving you in a difficult and complicated situation.  They're making you look like you're inadequate or insufficient for a given purpose.   This is how they're betraying you to other people. So now, they have to do as well and be as good as other people expect them to. They have to fulfill an expectation, obligation and principle. They have to act in accordance with everything they said they are. To show everyone that you are the problem, to show everyone that you are the cause of everything that went wrong, to show everyone why they can't be with you and their family and friends will be telling them how to deal with the situation. They will be telling the narcissist what to do next. So the narcissist will be seeking out another situation to put themselves in a better position, to outperform and outclass you, to embarrass you by being superior because they've already showed you in a bad light. They've already harmed your reputation. So now when they do bad things and they get involved with this new person, no one is going to question them. Everyone is going to jump on the bandwagon. Everyone is going to support their cause. And they will even tell the narcissist that they should have gotten rid of you a long time ago. They will be happy that the narcissist has found someone else which makes the narcissist feel stronger because they have a support system that they've made false and damaging statements about you too. And everyone is supporting their cause. Everyone is looking at you like you're crazy but you don't understand what's going on but you don't understand why they're doing this.  So you never knew that you had any issues. If there was anything wrong they told you that you would work it out. But behind your back they're hunting you down. They're tracking you. They're following you like a hound. They're going after you deliberately. They're saying all kinds of horrible things about you.  So when they're ready to move on no one is questioning them. People are encouraging them to leave you.  Because that's what is being confirmed by everyone around them. And you may be unaware and uninformed about this. But when they're around their family and friends they're saying that they're just with you temporarily. They're saying that you've already decided to go separate ways. So when they're going out and flirting with other people no one is questioning them. No one is questioning if they're dishonorable and trustworthy or morally weak. Because they've made you appear less important than you really are. They've made your relationship seem less serious. They've made you out to be a bad person. So no one is questioning their behaviour outside of your sight. So they find this new person and they feel like they've been raised to a higher position. They feel like they have something better. So now they have to show everyone that it's better. They have to change the way in which they acted with you. They have to improve their behaviour. Because they've created this image around their family and friends. That they were tricked and harmed by you. So now they have to keep this appearance and form of behaviour.  You reduced them to a lower position. You did all of these bad things to them. And that is why they're leaving you. And they're bringing this new person around their family and friends. So now they have to maintain this image. They have to keep it going. So they will cooperate with this new person. They won't behave badly. They will control their emotions. Because they're trying to make it look good to their family and friends. So they have to let the situation develop. Because they said that you were a bad person. So now they've got a new one. And this may be someone they met through their family or friends. It may be someone that they already knew.  Because otherwise it's going to expose their true identity and motives. It's going to show everyone who they really are. It's going to show everyone that they are the problem. So when you see the narcissist behaving well. When you see them acting differently to how they were with you. It's because they're trying to uphold an image of their family and friends. Because maybe they were hooked up with someone new. Someone who is supposed to be better than you. Based on all of the negative things they said about you. They're trying to impress not only this new person. But also their family and friends. They're trying to sell this image. That the only reason why things weren't going right for them. Is because they were with you. So now that they've got this new person. They can succeed and do better. So they will be careful and not take risks. They will behave well. They will do all of the cooking and cleaning. They will be completely over the top. They will put in a lot of effort with this new person. Because they know that it will sell this image.  They will stop flirting with other people. They will expose themselves to being hurt. Because when they're flirting with other people. It protects the weak parts of their character. It gives them the advantage. But the moment they stop entertaining multiple prospects. And they try to do right. That is when they expose themselves to the possibility of danger or harm. They could never be open or honest with you. They could never be vulnerable. Because they had to protect themselves. But when a certain situation presents itself. Because they always feel like they deserve better. They are always looking for the bigger better deal. And they always think the next thing is going to be the answer to their prayers. They will even give in to someone who has different opinions. They won't flirt with other people.  They won't play games. They will try to do right. But little do they know. That some of their family and friends are backstabbers. So they're around bad people. That they admire and respect. That they're taking advice from. People who are giving them all of the wrong advice. People who have chosen the path of confrontation. Rather than cooperation. So they're around greedy and inconsiderate people. Who have hooked them up with someone. And this is the narcissist ultimate karma. The narcissist looks up to their family and friends. So they're assuming that who they're being hooked up with. Is a better deal. They can stop fooling around. They can trust this person. Because they feel that their family or friends would never hook them up with someone who is wrong. Or someone who is not good for them. But because all of these people are greedy and inconsiderate. The narcissist will end up with this new person. And they will give them all of this cooperation. That they never gave to you. This new person isn't getting the arguments and disagreements. They're not getting the battles and struggles. They're not getting the fights. Because now the narcissist is trying to involve mutual assistance. In working towards a common goal. But little do they know. They're doing all of this for nothing. They're not trying to play games with this new person. But this new person is getting everything that the narcissist is putting out. And they begin to play their game on the narcissist. They're just taking everything that the narcissist has to give. Because now that the narcissist has decided not to flirt with other people and not to fool around. And they've decided to cooperate and create a friendly situation that is free from disagreement. Now that they feel like they've found a situation where they can do that. They don't have that protection anymore. That protection that came from them entertaining multiple prospects. The narcissist didn't change. They're just using a different character because they're expecting a reward from the situation. But this new person is just leading them on. They're enticing and inducing them to adopt the course and belief when it isn't wise and mistaken. They're just giving them a dream to chase. They're telling the narcissist that they've got money. So now the narcissist is putting in all of their efforts and they're pushing aside everything that they have to go through. Because they're thinking that it's going to pay off. But it doesn't when the narcissist stops playing games. That is when the game is played on them. Because the people who hooked them up with this new person were greedy and inconsiderate as well. But the narcissist wanted to prove a point. They wanted to show that they are right. They wanted to show that they can do something to make you look like you were the problem. To make it seem like you reduced them to a lower grade or level of importance. But they ended up falling in a trap where they had then done that themselves. They put themselves in a lower position. This is what happens. This is the narcissist's ultimate karma. They stop playing around for a moment and then someone plays them. But you move on. You're no longer unhappy about it. You're no longer controlled or bothered by it. You heal. But what they went through is very harmful to them. It interfered with their ability to perform to their usual standard. And it may take them a long time to recover from that. And now they have to look at you becoming more successful. They have to look at you living your best life.  They acted unwisely. They never got to know you anyway. They were always looking for the bigger, better deal. They were always looking for the next shiny new toy. And when they felt like they had finally found the opportunity they threw you under the bus. They criticized, blamed and punished you. They caused you to suffer in order to save themselves and gain a personal advantage. But karma never loses an address. What you do to other people eventually comes back to you. They end up getting played in the end.  They may not learn from it but it gets to them. It has an effect on them. But they were the cause of their own destruction. They made false and damaging statements about you. They threw you under the bus and it ended up having the opposite and undesirable effect of what was intended. They put them in a worse situation. They went through all of that and they got nothing in return. Thank you for watching. I hope this video resonated with you. Please like, comment, share and subscribe. If you would like to donate my PayPal link is in the video description. Coaching Inquiries You can email me at coaching.narksurviv.co.uk Thank you for watching and I'll talk to you soon.