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These are the user uploaded subtitles that are being translated: 1 00:00:01,500 --> 00:00:03,300 [narrator] On Tomorrow's World Today, 2 00:00:03,300 --> 00:00:05,967 we explore the cutting edge advances that are shaping four different worlds. 3 00:00:05,967 --> 00:00:07,667 The World of Inspiration, 4 00:00:07,667 --> 00:00:10,767 where the wonders of the natural world amaze and inspire us. 5 00:00:11,300 --> 00:00:12,567 The World of Creation, 6 00:00:12,567 --> 00:00:15,100 where ideas come to life from traditional arts. 7 00:00:15,667 --> 00:00:17,100 The World of Innovation, 8 00:00:17,166 --> 00:00:20,400 where ideas and inventions move us all forward. 9 00:00:20,467 --> 00:00:21,934 The World of Production, 10 00:00:21,934 --> 00:00:25,367 where innovations are mass produced to improve our lives. 11 00:00:25,367 --> 00:00:27,300 From Inventionland world headquarters, 12 00:00:27,367 --> 00:00:29,500 here's your host, George Davison. 13 00:00:32,767 --> 00:00:34,800 Hey, everybody. I'm George Davison. 14 00:00:34,867 --> 00:00:36,133 Now you might be wondering, 15 00:00:36,166 --> 00:00:39,700 what am I doing with all this old computing technology? 16 00:00:39,767 --> 00:00:42,767 Well, we're sending them out to be scraped and recycled 17 00:00:42,767 --> 00:00:45,467 because we're switching everything to the cloud. 18 00:00:46,767 --> 00:00:48,867 Inventionland and Inventionland education, 19 00:00:48,867 --> 00:00:50,367 they operate on a global level 20 00:00:50,367 --> 00:00:52,767 and this old computing technology, 21 00:00:52,767 --> 00:00:56,100 it just can't keep up with how quickly we're growing. 22 00:00:56,166 --> 00:00:58,767 Today, small businesses, schools and even 23 00:00:58,767 --> 00:01:02,767 multi-million dollar corporations have to think about 24 00:01:02,767 --> 00:01:06,000 how will they expand and grow on a digital level. 25 00:01:06,066 --> 00:01:09,300 And that means thinking about what kind of computing power, 26 00:01:09,367 --> 00:01:13,467 the old or the new, will get them there. 27 00:01:13,467 --> 00:01:15,767 I'm sending Greg to the World of Innovation 28 00:01:15,767 --> 00:01:18,200 to explore how far computing has come 29 00:01:18,266 --> 00:01:22,600 and how it's easier than ever for businesses and builders 30 00:01:22,667 --> 00:01:25,667 to create using the power of the cloud. 31 00:01:33,100 --> 00:01:36,266 [Greg] Each year, more than 14 million new small 32 00:01:36,266 --> 00:01:39,100 and medium-sized businesses are created globally. 33 00:01:39,166 --> 00:01:42,066 And many of them are being built entirely online. 34 00:01:42,066 --> 00:01:47,367 It's easier now than ever for an entrepreneur to develop the business of their dreams. 35 00:01:47,367 --> 00:01:48,867 Well, I'm gonna meet with Gabe Monroy. 36 00:01:48,867 --> 00:01:52,000 He is the chief product officer at Digital Ocean. 37 00:01:52,000 --> 00:01:54,767 We're gonna discuss their role in helping these entrepreneurs 38 00:01:54,767 --> 00:01:57,367 and developers grow their business in the cloud. 39 00:01:59,767 --> 00:02:01,100 Hey Gabe. 40 00:02:01,166 --> 00:02:03,266 -Greg. Welcome. -Thanks. 41 00:02:03,266 --> 00:02:04,500 -Have a seat. -Alright. 42 00:02:04,567 --> 00:02:07,166 Nice office. What a place to work. 43 00:02:07,166 --> 00:02:09,367 Thanks. As a builder, you can build from anywhere now. 44 00:02:09,367 --> 00:02:10,867 [Greg] I guess that's true. 45 00:02:10,867 --> 00:02:14,467 So, what better place to talk about Digital Ocean than on the water. 46 00:02:14,467 --> 00:02:17,100 Tell me about the creation and the inspiration behind it. 47 00:02:17,100 --> 00:02:20,467 Well, Digital Ocean exists to serve developers and small businesses 48 00:02:20,467 --> 00:02:22,500 that are looking to build digital products. 49 00:02:22,567 --> 00:02:25,600 Digital products are things like websites or e-commerce sites 50 00:02:25,667 --> 00:02:27,200 or maybe a mobile application. 51 00:02:27,266 --> 00:02:28,900 They're products that live on the internet 52 00:02:28,967 --> 00:02:30,667 and are delivered to people on the internet. 53 00:02:30,667 --> 00:02:32,133 Well, let's talk about that 54 00:02:32,166 --> 00:02:35,166 because when most people think of the cloud, they think of storage. 55 00:02:35,166 --> 00:02:36,867 But there's a lot more to it than that. 56 00:02:36,867 --> 00:02:38,100 Tell me about cloud computing. 57 00:02:38,166 --> 00:02:40,367 Cloud computing is actually computer networking 58 00:02:40,367 --> 00:02:42,100 and storage altogether, right? 59 00:02:42,100 --> 00:02:45,000 And if you think about what most people associate with the cloud, 60 00:02:45,066 --> 00:02:47,700 things like, you know, photos on your phone being sent to the cloud, 61 00:02:47,767 --> 00:02:49,367 yes, that is very much storage. 62 00:02:49,367 --> 00:02:52,400 But there's also a big amount of processing that happens in the cloud. 63 00:02:52,467 --> 00:02:55,367 Things like data analytics or video encoding. 64 00:02:55,367 --> 00:02:57,700 [Greg] Okay, so how does something like that help a business 65 00:02:57,767 --> 00:02:59,100 go from a small business 66 00:02:59,100 --> 00:03:02,166 to a medium business to a large business? 67 00:03:02,166 --> 00:03:04,000 Well, we like to think of the developer journey 68 00:03:04,066 --> 00:03:05,800 as one that starts with learning. 69 00:03:05,867 --> 00:03:07,500 A lot of folks who are using the cloud, 70 00:03:07,567 --> 00:03:10,400 they start out by trying to experiment with new technologies. 71 00:03:10,467 --> 00:03:12,166 Once they work through that phase, 72 00:03:12,166 --> 00:03:14,567 they'll move on to building a new application, 73 00:03:14,567 --> 00:03:16,667 you know, maybe a website or a mobile app. 74 00:03:16,667 --> 00:03:19,000 And once that app gets some amount of traction, 75 00:03:19,066 --> 00:03:21,266 they'll work on scaling that application 76 00:03:21,266 --> 00:03:22,266 and that's really where they get 77 00:03:22,266 --> 00:03:24,100 the big advantages of the cloud. 78 00:03:24,166 --> 00:03:26,100 Well, I guess that's where Droplets come into play. 79 00:03:26,166 --> 00:03:28,100 -[Gabe] Yes -Okay, explain those to me. 80 00:03:28,100 --> 00:03:31,667 Well, Droplets are essentially a server or a computer, right? 81 00:03:31,667 --> 00:03:33,367 No different than the one that might be running 82 00:03:33,367 --> 00:03:35,266 inside of your house or under your table. 83 00:03:35,266 --> 00:03:37,467 The difference with this computer is it's managed 84 00:03:37,467 --> 00:03:38,400 by Digital Ocean, 85 00:03:38,467 --> 00:03:40,767 so all the power, the cooling, the cabling, 86 00:03:40,767 --> 00:03:42,000 that's something that we take care of 87 00:03:42,066 --> 00:03:43,300 so that you don't have to worry about it. 88 00:03:43,367 --> 00:03:46,667 And I guess as software and hardware both develop, 89 00:03:46,667 --> 00:03:48,100 you handle that and that'll help 90 00:03:48,166 --> 00:03:50,367 -keep a business on the cutting edge. -[Gabe] Absolutely. 91 00:03:50,367 --> 00:03:52,900 With cloud computing, businesses can focus on 92 00:03:52,967 --> 00:03:54,667 adding value for their customers. 93 00:03:54,667 --> 00:03:57,000 And the more time they can spend on delivering that value 94 00:03:57,000 --> 00:04:00,500 and the less time they spend on managing servers, the better. 95 00:04:00,567 --> 00:04:02,000 So let's go to the captain's table. 96 00:04:02,000 --> 00:04:03,066 Alright. 97 00:04:06,867 --> 00:04:08,467 Well, so here we are. 98 00:04:08,467 --> 00:04:10,000 The captain's table. Welcome. 99 00:04:10,000 --> 00:04:11,667 Well, thank you. Thank you. 100 00:04:11,667 --> 00:04:16,467 So, we touched kind of briefly on the benefits to a small and medium-sized business 101 00:04:16,467 --> 00:04:19,567 of you handling the hardware and software end of things. 102 00:04:19,567 --> 00:04:21,000 But what are some specific examples 103 00:04:21,000 --> 00:04:24,166 of how those advantages help those businesses out? 104 00:04:24,166 --> 00:04:26,000 Well, have you ever tried to order clothes online 105 00:04:26,066 --> 00:04:27,767 and then the clothes that you get in the mail don't actually fit? 106 00:04:27,767 --> 00:04:28,934 Oh, yeah. 107 00:04:28,967 --> 00:04:31,767 Well, so one of our customers serves e-commerce sites 108 00:04:31,767 --> 00:04:35,266 and what they have is an AI powered clothing fit platform 109 00:04:35,266 --> 00:04:37,767 that allows you to make sure that through a few simple questions 110 00:04:37,767 --> 00:04:39,500 the clothes you get in the mail do actually fit you. 111 00:04:39,567 --> 00:04:41,800 That's amazing. What else? 112 00:04:41,867 --> 00:04:43,400 Well, another good example is, you know... 113 00:04:43,467 --> 00:04:45,367 Have you ever tried to place an order from a restaurant, 114 00:04:45,367 --> 00:04:47,200 but you keep calling and the phone line's busy? 115 00:04:47,266 --> 00:04:48,900 You just can't get ahold of someone? 116 00:04:48,900 --> 00:04:52,100 Sometimes you just want to interact with the restaurant like a chat system, right? 117 00:04:52,100 --> 00:04:53,667 So, taking out your mobile app, 118 00:04:53,667 --> 00:04:55,867 chat with the restaurant, place your order that way. 119 00:04:55,867 --> 00:04:57,700 Much easier way of interacting with a restaurant. 120 00:04:57,767 --> 00:05:01,200 Now the pandemic hit a lot of different businesses in a lot of different ways. 121 00:05:01,266 --> 00:05:03,667 Some people had to scale their businesses back, 122 00:05:03,667 --> 00:05:06,100 other people had to ramp up tremendously. 123 00:05:06,166 --> 00:05:07,667 Do you have any examples of how you might have 124 00:05:07,667 --> 00:05:09,767 helped out a business during the pandemic? 125 00:05:09,767 --> 00:05:13,967 Indeed. The pandemic, as you said, scale was really 126 00:05:13,967 --> 00:05:17,100 a really important element of the cloud that helped folks through the pandemic. 127 00:05:17,100 --> 00:05:18,900 Some folk's business scaled up, 128 00:05:18,967 --> 00:05:20,467 other folk's business scaled down. 129 00:05:20,467 --> 00:05:23,567 Either way, Digital Ocean and the cloud was able to provide help 130 00:05:23,567 --> 00:05:24,867 to businesses during that time. 131 00:05:24,867 --> 00:05:26,567 Nowhere is that example more clear 132 00:05:26,567 --> 00:05:28,900 than with a customer of ours called BigBlueButton. 133 00:05:28,967 --> 00:05:30,767 They provide education services 134 00:05:30,767 --> 00:05:32,900 to folks who are trying to learn during the pandemic. 135 00:05:32,967 --> 00:05:35,967 And so, I've actually enabled a meeting with the team 136 00:05:35,967 --> 00:05:38,100 over in Ottawa if you'd like to learn more about that story. 137 00:05:38,166 --> 00:05:39,467 I would, absolutely. 138 00:05:39,467 --> 00:05:40,867 So I guess I have to get off the boat and get on a plane. 139 00:05:40,867 --> 00:05:42,467 -Indeed. -Alright, Gabe. Thank you very much. 140 00:05:42,467 --> 00:05:43,600 -This has been great. -Yes. 141 00:05:43,667 --> 00:05:44,667 [inquisitive music playing] 142 00:05:59,066 --> 00:06:00,400 [thoughtful music playing] 143 00:06:12,467 --> 00:06:16,000 In 2020, there was a huge shift in the educational world. 144 00:06:16,000 --> 00:06:18,967 When the pandemic hit, online and remote learning, 145 00:06:18,967 --> 00:06:21,166 which had been an option offered by most schools, 146 00:06:21,166 --> 00:06:23,367 became an absolute necessity. 147 00:06:23,367 --> 00:06:26,767 BigBlueButton is the only virtual 148 00:06:26,767 --> 00:06:29,367 open-sourced teaching platform in the world. 149 00:06:29,367 --> 00:06:32,400 Their virtual classrooms are designed to help teachers 150 00:06:32,467 --> 00:06:35,100 engage and interact with their students remotely. 151 00:06:35,100 --> 00:06:37,800 But they knew when this global pandemic came upon us 152 00:06:37,867 --> 00:06:40,100 that their existing servers would not be able 153 00:06:40,100 --> 00:06:42,166 to rise up and meet that challenge. 154 00:06:42,166 --> 00:06:45,166 That's why we're here at Carleton University in Ottawa. 155 00:06:45,166 --> 00:06:46,500 We're gonna meet with Fred Dixon. 156 00:06:46,567 --> 00:06:48,266 He's the creator of BigBlueButton. 157 00:06:48,266 --> 00:06:50,767 And we're gonna discuss how Digital Ocean helped them 158 00:06:50,767 --> 00:06:52,500 rise up to this new global demand 159 00:06:52,567 --> 00:06:54,300 without sacrificing the integrity 160 00:06:54,367 --> 00:06:56,567 of any of their students' educational experience. 161 00:07:02,667 --> 00:07:03,834 Hey Fred. 162 00:07:03,867 --> 00:07:05,567 It's a good thing your virtual classrooms are packed 163 00:07:05,567 --> 00:07:07,000 'cause this one's empty. 164 00:07:07,000 --> 00:07:08,667 It is, but I've got a ton of people online 165 00:07:08,667 --> 00:07:10,367 watching the lecture right now. 166 00:07:10,367 --> 00:07:11,567 Well, can I steal you away from them 167 00:07:11,567 --> 00:07:13,567 for just a minute or two and have a little talk? 168 00:07:13,567 --> 00:07:16,166 -Sure. Let me just finish up and I'll join you. -[Greg] Great. 169 00:07:25,266 --> 00:07:27,467 So, Fred. BigBlueButton. 170 00:07:27,467 --> 00:07:31,667 Born right here at Carleton University back in about 2007. 171 00:07:31,667 --> 00:07:35,900 Tell me about that development and what BigBlueButton was doing pre-pandemic. 172 00:07:35,967 --> 00:07:38,467 So, BigBlueButton was designed to be a virtual classroom. 173 00:07:38,467 --> 00:07:40,166 And pre-pandemic, think of the world 174 00:07:40,166 --> 00:07:42,100 where you might have a large school district. 175 00:07:42,100 --> 00:07:43,867 There would be like, a small high school, 176 00:07:43,867 --> 00:07:46,867 maybe online virtual class for those students that couldn't make it. 177 00:07:46,867 --> 00:07:48,900 When the pandemic hit, that flipped. 178 00:07:48,967 --> 00:07:50,900 You had very few people in the physical classroom 179 00:07:50,967 --> 00:07:53,367 and almost everybody was learning online. 180 00:07:53,367 --> 00:07:57,767 So that had to present some real scalability issues for you folks. 181 00:07:57,767 --> 00:08:00,767 How did you handle that and how did Digital Ocean help you? 182 00:08:00,767 --> 00:08:03,367 Oh yeah. So February 2020, 183 00:08:03,367 --> 00:08:06,767 we could see that the pandemic was gonna hit North America. 184 00:08:06,767 --> 00:08:10,000 The tsunami was coming. We had 60 physical servers. 185 00:08:10,000 --> 00:08:11,767 And in a short pace of... Space of time, 186 00:08:11,767 --> 00:08:14,000 we had to go from 60 to an unknown number. 187 00:08:14,000 --> 00:08:16,800 So we had already been using Digital Ocean for helping us with testing, 188 00:08:16,867 --> 00:08:18,900 so we were familiar with their API's. 189 00:08:18,967 --> 00:08:23,266 In about two and a half weeks, we transitioned from physical to virtual. 190 00:08:23,266 --> 00:08:25,567 And what we had to do was use Digital Ocean 191 00:08:25,567 --> 00:08:27,800 'cause we were already playing around with them, testing with them. 192 00:08:27,867 --> 00:08:30,266 And the only way we were able to solve the problem we had 193 00:08:30,266 --> 00:08:31,767 was to go completely cloud computing 194 00:08:31,767 --> 00:08:33,867 and to scale it through Digital Ocean. 195 00:08:33,867 --> 00:08:35,367 And fortunately, we were able to do that 196 00:08:35,367 --> 00:08:36,667 in such a short period of time, 197 00:08:36,667 --> 00:08:38,667 that we kept ahead of the pandemic 198 00:08:38,667 --> 00:08:40,767 and we were able to handle all the virtual classes. 199 00:08:40,767 --> 00:08:42,467 Traditionally, how long would it have taken you 200 00:08:42,467 --> 00:08:43,800 to set up one of your own servers? 201 00:08:43,867 --> 00:08:45,266 [Fred] Yeah, that was pretty intense. 202 00:08:45,266 --> 00:08:48,600 So it taking us an average of six hours to set up a physical server. 203 00:08:48,667 --> 00:08:52,567 Using the Digital Ocean API's, we were able to boil that down to about six minutes. 204 00:08:52,567 --> 00:08:54,767 Okay. So, let's talk sheer numbers here. 205 00:08:54,767 --> 00:08:57,166 You started off with 60 physical servers. 206 00:08:57,166 --> 00:08:58,166 Where are you at now? 207 00:08:58,166 --> 00:08:59,533 So at the height of the pandemic, 208 00:08:59,533 --> 00:09:03,567 we actually were running about 2,000 Digital Ocean Droplets. 209 00:09:03,567 --> 00:09:06,300 In parallel, four data centers around the world. 210 00:09:06,367 --> 00:09:07,800 And looking back at the data, 211 00:09:07,800 --> 00:09:10,200 we did over two billion minutes of virtual classes. 212 00:09:10,266 --> 00:09:13,066 Well, I'd really like to see how a virtual class works. 213 00:09:13,066 --> 00:09:14,700 -Can you show me? -Sure. Let's take a look. 214 00:09:16,667 --> 00:09:18,367 So Fred, why BigBlueButton 215 00:09:18,367 --> 00:09:21,166 as opposed to a standard video conferencing system, 216 00:09:21,166 --> 00:09:23,166 which would seem like the obvious choice? 217 00:09:23,166 --> 00:09:25,500 So video is fine when you want to build relationships, 218 00:09:25,567 --> 00:09:27,367 but for purposes of teaching and learning, 219 00:09:27,367 --> 00:09:29,300 there's a lot more that's going on than just video. 220 00:09:29,367 --> 00:09:31,500 If you just did video, it's all on the teacher to figure out 221 00:09:31,567 --> 00:09:34,000 from the student's facial expression. 222 00:09:34,066 --> 00:09:35,667 What you want to do is have a platform 223 00:09:35,667 --> 00:09:37,967 which understands that the teacher's trying to teach content 224 00:09:37,967 --> 00:09:39,600 and the students are trying to learn 225 00:09:39,667 --> 00:09:41,367 and the best way to learn is apply. 226 00:09:41,367 --> 00:09:44,967 You just can't watch an hour of video and walk out and be an expert on something. 227 00:09:44,967 --> 00:09:47,166 So what we did with BigBlueButton was create a space 228 00:09:47,166 --> 00:09:49,867 where the teacher has lots of ways to engage the students. 229 00:09:49,867 --> 00:09:52,066 And that engagement generates analytics, 230 00:09:52,066 --> 00:09:55,667 and the analytics helps guide the teacher to determine which students are struggling 231 00:09:55,667 --> 00:09:57,166 and then help those students out. 232 00:09:57,166 --> 00:09:58,266 From the student's point of view, 233 00:09:58,266 --> 00:10:00,367 if the teacher is aware of them, 234 00:10:00,367 --> 00:10:02,200 cares about them and helps them out, 235 00:10:02,266 --> 00:10:04,467 it means that virtual classroom is really valuable 236 00:10:04,467 --> 00:10:06,567 for the student as well as the teacher. 237 00:10:06,567 --> 00:10:09,867 Okay, so I guess as I look at this classroom, which is huge, 238 00:10:09,867 --> 00:10:11,667 you've got seating here for a couple of hundred students. 239 00:10:11,667 --> 00:10:14,066 I would think there's more opportunity for engagement 240 00:10:14,066 --> 00:10:16,967 this way through your system than in the live setting. 241 00:10:16,967 --> 00:10:19,300 Yeah, there's actually a lot of advantages for a virtual class. 242 00:10:19,367 --> 00:10:22,000 It can happen in real time across the world. 243 00:10:22,000 --> 00:10:23,600 So you can teach students anywhere. 244 00:10:23,667 --> 00:10:25,066 Activity is gonna happen in parallels. 245 00:10:25,066 --> 00:10:26,467 So you can have some students in breakout rooms. 246 00:10:26,467 --> 00:10:28,667 Other people collaborating together in the chat. 247 00:10:28,667 --> 00:10:30,300 You can record the content 248 00:10:30,367 --> 00:10:31,800 so it can be watched afterward. 249 00:10:31,867 --> 00:10:34,667 And the data that you create from interaction 250 00:10:34,667 --> 00:10:36,667 creates analytics that helps guide the teachers 251 00:10:36,667 --> 00:10:38,066 to which students are struggling. 252 00:10:38,066 --> 00:10:40,200 There should be no back of the classroom in a virtual class. 253 00:10:40,266 --> 00:10:42,166 Excellent. Well, can you show me how that works? 254 00:10:42,166 --> 00:10:43,967 [Fred] Yes. So here I've got a question. 255 00:10:43,967 --> 00:10:45,867 Let's say I just talked about Einstein for a little bit. 256 00:10:45,867 --> 00:10:46,867 And I have a question. 257 00:10:46,900 --> 00:10:49,567 "Did Einstein discover the atom? True/false." 258 00:10:49,567 --> 00:10:53,000 BigBlueButton knows you're trying to ask students questions in polls. 259 00:10:53,066 --> 00:10:56,667 So it actually picked up the text here, "True/false." 260 00:10:56,667 --> 00:10:59,367 It already reads it into memory for screen readers, 261 00:10:59,367 --> 00:11:02,100 but instead of having to teach or type in a poll question, 262 00:11:02,100 --> 00:11:03,734 it'll just give you one button. 263 00:11:03,734 --> 00:11:06,467 And when I click this button, I immediately can start polling the students, 264 00:11:06,467 --> 00:11:08,367 I see the results come back live 265 00:11:08,367 --> 00:11:11,700 and again I'm assessing whether students got the answers correct or not. 266 00:11:11,767 --> 00:11:13,567 I'll do one more. I'll give an example. 267 00:11:13,567 --> 00:11:15,066 "What are the rings of Saturn made of?" 268 00:11:15,066 --> 00:11:16,500 Again, one button. 269 00:11:16,500 --> 00:11:19,100 You can see it's very quick for me to go, ask another question, 270 00:11:19,100 --> 00:11:22,100 get responses back and then I publish them. 271 00:11:22,166 --> 00:11:24,767 At some point, the teacher's gonna have three questions. 272 00:11:24,767 --> 00:11:27,867 Who's in my class, who's participating and who's learning? 273 00:11:27,867 --> 00:11:30,166 So what we did was we built out a system 274 00:11:30,166 --> 00:11:31,967 called the Learning Analytics Dashboard. 275 00:11:31,967 --> 00:11:33,567 And this is a live dashboard 276 00:11:33,567 --> 00:11:35,367 that, think of it, sits next to the teacher 277 00:11:35,367 --> 00:11:38,100 and constantly updates them with what's going on in the class. 278 00:11:38,100 --> 00:11:40,667 I can see students, exactly how long they're there. 279 00:11:40,667 --> 00:11:42,600 I can see participation. 280 00:11:42,667 --> 00:11:45,367 And the other one is all the poll results are there. 281 00:11:45,367 --> 00:11:47,867 So as a teacher, I don't have to try to remember it. 282 00:11:47,867 --> 00:11:50,567 I can look at those results and say, "Was there a particular poll question 283 00:11:50,567 --> 00:11:52,266 that people just completely missed? 284 00:11:52,266 --> 00:11:54,767 Or was a particular question hard for the class?" 285 00:11:54,767 --> 00:11:56,667 You can use that to figure out whether you want 286 00:11:56,667 --> 00:11:58,800 to engage students or shore up some knowledge 287 00:11:58,867 --> 00:12:00,367 and then move on to the next section. 288 00:12:00,367 --> 00:12:02,767 Excellent. Well Fred, thank you very much. This has been amazing. 289 00:12:02,767 --> 00:12:03,767 I'm heading back to Pittsburgh. 290 00:12:03,800 --> 00:12:05,467 I've got a couple of really unique individuals 291 00:12:05,467 --> 00:12:06,967 from Digital Ocean to hook up with there. 292 00:12:06,967 --> 00:12:08,000 Sounds good, Greg. 293 00:12:08,066 --> 00:12:09,066 [thoughtful music playing] 294 00:12:21,467 --> 00:12:22,967 [inquisitive music playing] 295 00:12:26,867 --> 00:12:29,200 I'm in Pittsburgh at one of the highest points in the city 296 00:12:29,266 --> 00:12:31,967 on Mount Washington at the Monterey Bay Fish Grotto. 297 00:12:31,967 --> 00:12:34,000 I'm gonna be speaking with Kwasi Asare 298 00:12:34,000 --> 00:12:37,400 about Digital Ocean's global startup program called Hatch. 299 00:12:38,166 --> 00:12:39,166 [bright music playing] 300 00:12:46,300 --> 00:12:47,667 Kwasi. 301 00:12:47,667 --> 00:12:49,567 -Hey. How you doing? -Doing well. Nice to see you. 302 00:12:49,567 --> 00:12:50,867 -You as well. -So... 303 00:12:52,367 --> 00:12:55,300 Digital Ocean's Hatch program. Give me a quick overview. 304 00:12:55,367 --> 00:12:58,600 Yeah, so the Hatch program is Digital Ocean's global startup program 305 00:12:58,667 --> 00:13:00,867 focused on helping entrepreneurs and founders 306 00:13:00,867 --> 00:13:04,300 with technical assistance, access to infrastructure 307 00:13:04,367 --> 00:13:05,867 and a community of like-minded founders 308 00:13:05,867 --> 00:13:07,767 to help them grow their business efficiently. 309 00:13:07,767 --> 00:13:10,100 Well, what are some of the different businesses 310 00:13:10,166 --> 00:13:11,600 that have gone through the program? 311 00:13:11,667 --> 00:13:15,000 Yeah, so Hatch, a lot like Digital Ocean, is platform agnostic. 312 00:13:15,066 --> 00:13:17,700 We've helped everybody from edtech to fintech 313 00:13:17,767 --> 00:13:21,600 health care, e-commerce, artificial intelligence machine learning. 314 00:13:21,667 --> 00:13:24,066 It's really been a hodgepodge of people 315 00:13:24,066 --> 00:13:26,000 focused on a variety of different things, 316 00:13:26,000 --> 00:13:28,166 and trying to solve business problems 317 00:13:28,166 --> 00:13:29,667 is sort of their shared challenge. 318 00:13:29,667 --> 00:13:32,700 And that's where we add value is by being a part of that journey 319 00:13:32,767 --> 00:13:35,700 and helping people and businesses solve hard problems. 320 00:13:35,767 --> 00:13:38,000 Okay, well what brought you into the program? 321 00:13:38,000 --> 00:13:40,967 Yeah, so in 2008, a skinny guy with a funny name won an election 322 00:13:40,967 --> 00:13:43,567 and I wanted to be a part of an unprecedented administration, 323 00:13:43,567 --> 00:13:46,066 an unprecedented economy, tell the grandkids about it. 324 00:13:46,066 --> 00:13:48,367 Found myself working on edtech policy 325 00:13:48,367 --> 00:13:50,767 at the intersection of private equity, venture capital 326 00:13:50,767 --> 00:13:52,567 and the founders and entrepreneurs themselves. 327 00:13:52,567 --> 00:13:54,900 In all of that, I found myself connected very closely 328 00:13:54,967 --> 00:13:56,166 with entrepreneurs and founders. 329 00:13:56,166 --> 00:13:57,600 And if you hang out with them long enough 330 00:13:57,667 --> 00:14:00,867 they believe they can solve any problem and that's contagious. 331 00:14:00,867 --> 00:14:02,767 And I wanted to continue to return that value back to them 332 00:14:02,767 --> 00:14:04,266 by helping them along their way 333 00:14:04,266 --> 00:14:06,667 through the work we do at Digital Ocean. 334 00:14:06,667 --> 00:14:09,000 Well, that's a big part of the ethos behind Digital Ocean 335 00:14:09,066 --> 00:14:11,066 is taking these small and medium-sized businesses 336 00:14:11,066 --> 00:14:13,767 and actually help them along that growth pathway. 337 00:14:13,767 --> 00:14:14,934 [Kwasi] Absolutely. 338 00:14:14,967 --> 00:14:18,867 The sum collective action of any individual one of them 339 00:14:18,867 --> 00:14:21,000 is greater than the whole. And they all believe that. 340 00:14:21,066 --> 00:14:23,500 And I think by continuing to give back as a community, 341 00:14:23,567 --> 00:14:25,467 they're actually able to solve hard problems 342 00:14:25,467 --> 00:14:27,500 for other people as well and realize their dreams. 343 00:14:27,567 --> 00:14:31,567 We're here to help make sure that every one of them realize that collective opportunity 344 00:14:31,567 --> 00:14:34,667 and creates value and solves hard problems for the world. 345 00:14:34,667 --> 00:14:36,500 Excellent. Well Kwasi, thank you very much. 346 00:14:36,567 --> 00:14:37,934 I want to find out more about this, 347 00:14:37,934 --> 00:14:40,066 -so I'm going to go and talk to Thandi. -Absolutely. Thanks. 348 00:14:40,066 --> 00:14:41,100 [light music playing] 349 00:14:47,767 --> 00:14:49,100 -Hi Thandi. -Hi. 350 00:14:49,100 --> 00:14:51,000 -Nice to meet you. -Nice to meet you too. 351 00:14:51,066 --> 00:14:52,500 So, I spoke with Kwasi 352 00:14:52,567 --> 00:14:55,000 -about his role with the Hatch program... -Yes. 353 00:14:55,066 --> 00:14:58,867 ...and how he helps small and medium-sized businesses as a startup. 354 00:14:58,867 --> 00:15:00,967 -Mmm-hmm. -Kind of at the very beginning of their journey. 355 00:15:00,967 --> 00:15:03,100 -Mmm-hmm. -You work with the startups as well, 356 00:15:03,100 --> 00:15:04,667 but in a little bit different capacity. 357 00:15:04,667 --> 00:15:05,967 Can you tell me about that? 358 00:15:05,967 --> 00:15:08,667 Sure. So my team, the Customer Success and Solutions Team, 359 00:15:08,667 --> 00:15:10,000 we work with startups 360 00:15:10,066 --> 00:15:11,767 and small and medium-sized businesses, 361 00:15:11,767 --> 00:15:13,967 and we help them achieve their business goals. 362 00:15:13,967 --> 00:15:16,266 Okay, so are you identifying specific products 363 00:15:16,266 --> 00:15:18,166 that Digital Ocean might have that will help them along? 364 00:15:18,166 --> 00:15:19,300 [Thandi] Um, so that's part of it. 365 00:15:19,367 --> 00:15:21,767 We look at their business and technical goals, 366 00:15:21,767 --> 00:15:24,900 but we align that with the resources they have available 367 00:15:24,967 --> 00:15:27,100 in terms of financial resources, 368 00:15:27,166 --> 00:15:29,967 their team, the technical prowess of their team. 369 00:15:29,967 --> 00:15:31,567 And we take those things together 370 00:15:31,567 --> 00:15:35,500 and we leverage the rest of the organization in to help them further along. 371 00:15:35,567 --> 00:15:37,500 So it's really the work of the whole Digital Ocean community? 372 00:15:37,567 --> 00:15:38,467 Exactly. Exactly. 373 00:15:38,467 --> 00:15:40,300 Okay, so what if there's a product 374 00:15:40,367 --> 00:15:42,000 that might come from an outside vendor 375 00:15:42,000 --> 00:15:44,100 that will work better for them? Is that an option as well? 376 00:15:44,166 --> 00:15:47,800 We first try to optimize for, you know, the products that we already have 377 00:15:47,867 --> 00:15:49,567 'cause those are what we know best, right? 378 00:15:49,567 --> 00:15:52,667 Sometimes the solution that they need 379 00:15:52,667 --> 00:15:55,400 isn't within our immediate community. 380 00:15:55,467 --> 00:15:57,266 So we would recommend another provider 381 00:15:57,266 --> 00:15:59,800 for that particular product or service. 382 00:15:59,867 --> 00:16:01,767 Um, whatever it takes to help them. 383 00:16:01,767 --> 00:16:04,400 Because that community aspect, that's a really big part 384 00:16:04,467 --> 00:16:05,734 -of the Digital Ocean ethos... -Exactly. 385 00:16:05,767 --> 00:16:08,266 ...is really just anything that we can do to help you along. 386 00:16:08,266 --> 00:16:10,567 And to help the cloud to grow and be better. 387 00:16:10,567 --> 00:16:12,367 Right. And well, speaking of community, 388 00:16:12,367 --> 00:16:15,100 we're actually in my community, my hometown of Pittsburgh. 389 00:16:15,100 --> 00:16:17,166 And Gabe is heading over to Inventionland 390 00:16:17,166 --> 00:16:18,834 -to meet with George. -Awesome. 391 00:16:18,834 --> 00:16:21,400 -So let's get on out of here. -Awesome. Thank you so much. It's beautiful here. 392 00:16:21,467 --> 00:16:22,400 [inquisitive music playing] 393 00:16:33,567 --> 00:16:34,667 [thoughtful music playing] 394 00:16:39,500 --> 00:16:41,166 -Hey, Gabe. -Hey, George. How are ya? 395 00:16:41,166 --> 00:16:42,867 I'm great. Welcome to Inventionland. 396 00:16:42,867 --> 00:16:44,100 Thanks. I'm so happy to be here. 397 00:16:44,166 --> 00:16:45,367 Well, we're thrilled you're here. 398 00:16:45,467 --> 00:16:48,100 We're working on some stuff and I saw this graph 399 00:16:48,100 --> 00:16:49,900 and I thought, "Is this accurate? 400 00:16:49,967 --> 00:16:52,767 We're looking at this kind of growth right now in the cloud?" 401 00:16:52,767 --> 00:16:55,100 The cloud has been growing like crazy. 402 00:16:55,100 --> 00:16:57,367 Actually when you think about it, there's really two trends 403 00:16:57,367 --> 00:16:59,166 -that are driving this phenomenon. -Mmm. 404 00:16:59,166 --> 00:17:02,500 The first is this idea of digital products, right? 405 00:17:02,567 --> 00:17:05,600 Websites, e-commerce sites, mobile applications 406 00:17:05,667 --> 00:17:07,867 and education platforms. 407 00:17:07,867 --> 00:17:11,200 All being delivered on the internet for consumers 408 00:17:11,266 --> 00:17:12,700 who want to access it over the internet. Right? 409 00:17:12,767 --> 00:17:15,266 -And so, that's a big trend going on right now. -Makes sense. 410 00:17:15,266 --> 00:17:18,266 The other thing that's happening is folks are getting kind of tired 411 00:17:18,266 --> 00:17:21,567 of having to manage their own servers and infrastructure, right? 412 00:17:21,567 --> 00:17:24,367 Uh, it's just kind of exhausting, all those cables. 413 00:17:24,367 --> 00:17:25,900 It's, you know, a lot of work, right? 414 00:17:25,967 --> 00:17:27,500 And so, if you take a look at this picture here, 415 00:17:27,567 --> 00:17:32,367 people are really looking to outsource and rent servers and equipment 416 00:17:32,367 --> 00:17:34,567 from a cloud provider like Digital Ocean. 417 00:17:34,567 --> 00:17:38,367 So, you know, we've got five seasons of Tomorrow's World Today. 418 00:17:38,367 --> 00:17:40,367 Many, many terabytes of data. 419 00:17:40,367 --> 00:17:42,166 We have more seasons in the future. 420 00:17:42,166 --> 00:17:46,000 So what we'd like to do is to be able to deliver our shows 421 00:17:46,000 --> 00:17:50,400 to our audience all around the world fast and reliably. 422 00:17:50,467 --> 00:17:52,300 So that's what I'm curious about. 423 00:17:52,367 --> 00:17:54,667 Yeah, so if I'm understanding, you want to build 424 00:17:54,667 --> 00:17:57,767 a video streaming platform for Tomorrow's World Today. 425 00:17:57,767 --> 00:18:00,467 And you want that to be accessible from anywhere in the world 426 00:18:00,467 --> 00:18:02,667 -at great speed and performance. -Yes. 427 00:18:02,667 --> 00:18:05,266 -And you're looking at the cloud to do that. -Exactly. 428 00:18:05,266 --> 00:18:07,367 I think the cloud is exactly what you need. 429 00:18:07,367 --> 00:18:08,600 [George] Alright, good. 430 00:18:08,600 --> 00:18:12,100 That being the case, your people sent me some images 431 00:18:12,100 --> 00:18:14,667 that I thought would need some explanation. 432 00:18:14,667 --> 00:18:17,467 Uh, these Droplets? What's a Droplet? 433 00:18:17,467 --> 00:18:22,166 So a Droplet is a really important product for Digital Ocean customers. 434 00:18:22,166 --> 00:18:25,967 This is the manifestation of a server running in the cloud. 435 00:18:25,967 --> 00:18:28,667 It's just with this server you don't have to worry about maintaining it, 436 00:18:28,667 --> 00:18:32,166 you don't' have to worry about power and cooling, cabling, all that annoying stuff. 437 00:18:32,166 --> 00:18:33,500 We take care of all that for you. 438 00:18:34,000 --> 00:18:35,100 [George] Very nice. 439 00:18:35,100 --> 00:18:37,300 So, if I was to add to that, 440 00:18:37,367 --> 00:18:39,600 and want to really grow it out, 441 00:18:39,667 --> 00:18:41,767 what's the capacity? How big can I get? 442 00:18:41,767 --> 00:18:44,667 Well, we have customers who run hundreds, thousands, 443 00:18:44,667 --> 00:18:46,867 even tens of thousands of Droplets. 444 00:18:46,867 --> 00:18:50,400 The only limiter is how much capacity we have in our data centers 445 00:18:50,467 --> 00:18:52,867 -and we've got a lot of capacity. -[George laughs] Alright. 446 00:18:52,867 --> 00:18:56,667 And then, they sent me this thing called a "Kuper-netee"? 447 00:18:56,667 --> 00:18:58,667 How do you say that word? 448 00:18:58,667 --> 00:19:01,000 -Kubernetes. -Kubernetes. 449 00:19:01,000 --> 00:19:02,700 Yes. And you were just talking about 450 00:19:02,767 --> 00:19:05,367 if you want to run lots of servers in the cloud, 451 00:19:05,367 --> 00:19:07,000 -lots of Droplets in the cloud. -[George] Yes. 452 00:19:07,066 --> 00:19:08,200 You know, how could you make that work? 453 00:19:08,266 --> 00:19:10,667 And really what Kubernetes does is it makes it possible 454 00:19:10,667 --> 00:19:14,667 for you to manage a group of servers as one thing. Right? 455 00:19:14,667 --> 00:19:16,767 So if one of the servers fails 456 00:19:16,767 --> 00:19:18,667 or if you have a big load event 457 00:19:18,667 --> 00:19:21,367 'cause lots of people want to watch Tomorrow's World Today all at once. 458 00:19:21,367 --> 00:19:23,367 -Yes. -You got a new episode out there. 459 00:19:23,367 --> 00:19:25,367 Kubernetes is gonna make that a lot more reliable 460 00:19:25,367 --> 00:19:27,000 and scalable for your customers. 461 00:19:27,066 --> 00:19:28,500 [George] That sounds really good. 462 00:19:28,500 --> 00:19:31,667 So, you know, there's always a better way to do something, Gabe. 463 00:19:31,667 --> 00:19:34,100 So I was just curious about, you know, 464 00:19:34,100 --> 00:19:37,066 where is the future going with cloud computing? 465 00:19:37,066 --> 00:19:39,867 Well, the future is what we call server-less 466 00:19:39,867 --> 00:19:42,567 and ultimately location-less technology. 467 00:19:42,567 --> 00:19:45,567 So today, if you want to use something like Kubernetes, 468 00:19:45,567 --> 00:19:49,066 you have to pick which physical data center you want to run that in. 469 00:19:49,066 --> 00:19:51,200 -Okay. -[Gabe] So you can run that in say Australia. 470 00:19:51,266 --> 00:19:53,667 In the future, you're not going to have to worry about 471 00:19:53,667 --> 00:19:56,667 where in the world your data center is located. 472 00:19:56,667 --> 00:19:59,667 You just say, "I want to run my application in the cloud. 473 00:19:59,667 --> 00:20:00,700 I don't care where." 474 00:20:00,767 --> 00:20:02,800 And the application will magically move 475 00:20:02,867 --> 00:20:04,367 wherever it needs to in the cloud 476 00:20:04,367 --> 00:20:07,667 and provide the best possible performance for your end users. 477 00:20:07,667 --> 00:20:08,867 That sounded really good. 478 00:20:08,867 --> 00:20:11,000 Alright, so I'd like to learn a little more. 479 00:20:11,066 --> 00:20:12,567 How do I get this thing started? 480 00:20:12,567 --> 00:20:15,667 Well, I got a free trial code 481 00:20:15,667 --> 00:20:19,000 that will give you some credits to try Digital Ocean out. 482 00:20:19,066 --> 00:20:20,567 -You interested? -Oh, we like free. 483 00:20:20,567 --> 00:20:22,867 -[laughing] Let me drop it to you. -[George] Sure. 484 00:20:24,266 --> 00:20:25,667 [inquisitive music playing] 485 00:20:26,900 --> 00:20:28,567 -Got it. -Awesome. 486 00:20:28,567 --> 00:20:29,900 -Thanks for coming in, Gabe. -Alright, thanks George. 42297

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