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[narrator]
On Tomorrow's World Today,
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00:00:03,300 --> 00:00:05,967
we explore the cutting edgeadvances that are shapingfour different worlds.
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The World of Inspiration,
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where the wondersof the natural worldamaze and inspire us.
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The World of Creation,
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where ideas come to lifefrom traditional arts.
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The World of Innovation,
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where ideas and inventionsmove us all forward.
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The World of Production,
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00:00:21,934 --> 00:00:25,367
where innovationsare mass producedto improve our lives.
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From Inventionlandworld headquarters,
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00:00:27,367 --> 00:00:29,500
here's your host,George Davison.
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00:00:32,767 --> 00:00:34,800
Hey, everybody.
I'm George Davison.
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00:00:34,867 --> 00:00:36,133
Now you might be wondering,
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00:00:36,166 --> 00:00:39,700
what am I doing
with all this old
computing technology?
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00:00:39,767 --> 00:00:42,767
Well, we're sending them out
to be scraped and recycled
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00:00:42,767 --> 00:00:45,467
because we're switching
everything to the cloud.
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Inventionland
and Inventionland education,
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00:00:48,867 --> 00:00:50,367
they operate on a global level
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00:00:50,367 --> 00:00:52,767
and this old
computing technology,
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it just can't keep up
with how quickly
we're growing.
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Today, small businesses,
schools and even
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multi-million dollar
corporations have to
think about
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how will they expand
and grow on a digital level.
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And that means thinking about
what kind of computing power,
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the old or the new,
will get them there.
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I'm sending Greg
to the World of Innovation
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to explore how far
computing has come
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and how it's easier than ever
for businesses and builders
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to create using
the power of the cloud.
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[Greg] Each year, more than14 million new small
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and medium-sized businessesare created globally.
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And many of them
are being built
entirely online.
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It's easier now than ever
for an entrepreneur to develop
the business of their dreams.
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Well, I'm gonna meet
with Gabe Monroy.
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He is the chief
product officer
at Digital Ocean.
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We're gonna discuss their role
in helping these entrepreneurs
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and developers
grow their business
in the cloud.
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Hey Gabe.
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-Greg. Welcome.
-Thanks.
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-Have a seat.
-Alright.
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Nice office.
What a place to work.
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Thanks. As a builder,
you can build
from anywhere now.
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[Greg] I guess that's true.
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So, what better place
to talk about Digital Ocean
than on the water.
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Tell me about the creation
and the inspiration behind it.
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Well, Digital Ocean exists
to serve developers
and small businesses
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that are looking to build
digital products.
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Digital products are things
like websites
or e-commerce sites
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or maybe a mobile application.
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They're products that liveon the internet
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and are delivered to peopleon the internet.
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Well, let's talk about that
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because when most people
think of the cloud,
they think of storage.
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But there's a lot
more to it than that.
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Tell me about cloud computing.
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Cloud computing is actually
computer networking
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and storage altogether, right?
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And if you think about
what most people associate
with the cloud,
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things like, you know,
photos on your phone
being sent to the cloud,
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yes, that is
very much storage.
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But there's also
a big amount of processing
that happens in the cloud.
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Things like data analyticsor video encoding.
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[Greg] Okay, so how doessomething like thathelp a business
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go from a small business
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to a medium business
to a large business?
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Well, we like to think
of the developer journey
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as one that starts
with learning.
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A lot of folks
who are using the cloud,
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they start out
by trying to experiment
with new technologies.
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Once they work through
that phase,
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they'll move on to building
a new application,
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you know, maybe a website
or a mobile app.
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And once that app gets
some amount of traction,
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they'll work on
scaling that application
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and that's really
where they get
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the big advantages
of the cloud.
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Well, I guess that's where
Droplets come into play.
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-[Gabe] Yes
-Okay, explain those to me.
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Well, Droplets are essentially
a server or a computer, right?
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No different than the onethat might be running
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inside of your houseor under your table.
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The differencewith this computeris it's managed
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by Digital Ocean,
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so all the power,
the cooling, the cabling,
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that's something
that we take care of
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so that you don't have to
worry about it.
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And I guess as software
and hardware both develop,
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you handle that
and that'll help
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-keep a business
on the cutting edge.
-[Gabe] Absolutely.
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With cloud computing,
businesses can focus on
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adding value
for their customers.
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And the more time
they can spend
on delivering that value
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and the less time
they spend on
managing servers, the better.
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So let's go
to the captain's table.
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Alright.
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Well, so here we are.
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The captain's table. Welcome.
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Well, thank you. Thank you.
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So, we touched kind of briefly
on the benefits to a small
and medium-sized business
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of you handling the hardware
and software end of things.
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But what are some
specific examples
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of how those advantages
help those businesses out?
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Well, have you ever tried
to order clothes online
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and then the clothes
that you get in the mail
don't actually fit?
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Oh, yeah.
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Well, so one of our customers
serves e-commerce sites
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and what they have
is an AI powered
clothing fit platform
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that allows you
to make sure that
through a few simple questions
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the clothes you get
in the mail
do actually fit you.
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That's amazing. What else?
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Well, another good example
is, you know...
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Have you ever tried
to place an order
from a restaurant,
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but you keep calling
and the phone line's busy?
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You just can't get ahold
of someone?
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Sometimes you just want to
interact with the restaurant
like a chat system, right?
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So, taking out
your mobile app,
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chat with the restaurant,
place your order that way.
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Much easier way of interacting
with a restaurant.
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Now the pandemic hit a lot
of different businesses
in a lot of different ways.
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Some people had to scale
their businesses back,
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other people had to
ramp up tremendously.
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Do you have any examples
of how you might have
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helped out a business
during the pandemic?
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Indeed. The pandemic,
as you said, scale was really
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a really important element
of the cloud that helped folks
through the pandemic.
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Some folk's business
scaled up,
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00:05:18,967 --> 00:05:20,467
other folk's business
scaled down.
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Either way, Digital Ocean
and the cloud was able
to provide help
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to businesses
during that time.
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Nowhere is that example
more clear
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than with a customer of ours
called BigBlueButton.
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They provide
education services
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to folks who are trying to
learn during the pandemic.
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And so, I've actually enabled
a meeting with the team
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over in Ottawa
if you'd like to learn
more about that story.
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I would, absolutely.
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So I guess I have to
get off the boat
and get on a plane.
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-Indeed.
-Alright, Gabe.
Thank you very much.
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-This has been great.
-Yes.
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[inquisitive music playing]
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[thoughtful music playing]
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In 2020,
there was a huge shift
in the educational world.
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When the pandemic hit,
online and remote learning,
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which had been an option
offered by most schools,
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became an absolute necessity.
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BigBlueButton
is the only virtual
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open-sourced teaching platform
in the world.
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Their virtual classrooms
are designed to help teachers
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engage and interact
with their students remotely.
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00:06:35,100 --> 00:06:37,800
But they knew when this global
pandemic came upon us
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that their existing servers
would not be able
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to rise up
and meet that challenge.
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That's why we're here
at Carleton University
in Ottawa.
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We're gonna meet with
Fred Dixon.
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He's the creator
of BigBlueButton.
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And we're gonna discuss
how Digital Ocean helped them
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rise up to this new
global demand
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without sacrificing
the integrity
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of any of their students'
educational experience.
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Hey Fred.
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It's a good thing
your virtual classrooms
are packed
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'cause this one's empty.
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It is, but I've got
a ton of people online
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watching the lecture
right now.
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00:07:10,367 --> 00:07:11,567
Well, can I steal you
away from them
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00:07:11,567 --> 00:07:13,567
for just a minute or two
and have a little talk?
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-Sure. Let me just finish up
and I'll join you.
-[Greg] Great.
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So, Fred. BigBlueButton.
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Born right here
at Carleton University
back in about 2007.
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Tell me about that development
and what BigBlueButton
was doing pre-pandemic.
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So, BigBlueButton was designed
to be a virtual classroom.
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And pre-pandemic,
think of the world
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where you might have
a large school district.
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There would be like,
a small high school,
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maybe online virtual class
for those students
that couldn't make it.
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When the pandemic hit,
that flipped.
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You had very few people
in the physical classroom
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and almost everybody
was learning online.
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So that had to present
some real scalability issues
for you folks.
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00:07:57,767 --> 00:08:00,767
How did you handle that
and how did Digital Ocean
help you?
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00:08:00,767 --> 00:08:03,367
Oh yeah. So February 2020,
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00:08:03,367 --> 00:08:06,767
we could see that the pandemic
was gonna hit North America.
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The tsunami was coming.
We had 60 physical servers.
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And in a short pace of...
Space of time,
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we had to go
from 60 to an unknown number.
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So we had already been using
Digital Ocean for helping us
with testing,
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00:08:16,867 --> 00:08:18,900
so we were familiar
with their API's.
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In about two and a half weeks,
we transitioned
from physical to virtual.
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And what we had to do
was use Digital Ocean
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'cause we were already
playing around with them,
testing with them.
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And the only way we were able
to solve the problem we had
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was to go completelycloud computing
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and to scale itthrough Digital Ocean.
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And fortunately,we were able to do that
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in such a short periodof time,
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that we kept ahead
of the pandemic
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and we were able to handle
all the virtual classes.
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Traditionally, how long
would it have taken you
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00:08:42,467 --> 00:08:43,800
to set up
one of your own servers?
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00:08:43,867 --> 00:08:45,266
[Fred] Yeah,
that was pretty intense.
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So it taking us an average
of six hours to set up
a physical server.
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Using the Digital Ocean API's,
we were able to boil that down
to about six minutes.
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00:08:52,567 --> 00:08:54,767
Okay. So, let's talk
sheer numbers here.
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00:08:54,767 --> 00:08:57,166
You started off
with 60 physical servers.
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Where are you at now?
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00:08:58,166 --> 00:08:59,533
So at the height
of the pandemic,
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00:08:59,533 --> 00:09:03,567
we actually were running
about 2,000
Digital Ocean Droplets.
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00:09:03,567 --> 00:09:06,300
In parallel, four data centersaround the world.
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00:09:06,367 --> 00:09:07,800
And looking back at the data,
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00:09:07,800 --> 00:09:10,200
we did overtwo billion minutesof virtual classes.
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00:09:10,266 --> 00:09:13,066
Well, I'd really like to see
how a virtual class works.
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00:09:13,066 --> 00:09:14,700
-Can you show me?
-Sure. Let's take a look.
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00:09:16,667 --> 00:09:18,367
So Fred, why BigBlueButton
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00:09:18,367 --> 00:09:21,166
as opposed to a standard
video conferencing system,
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00:09:21,166 --> 00:09:23,166
which would seem like
the obvious choice?
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00:09:23,166 --> 00:09:25,500
So video is fine
when you want
to build relationships,
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00:09:25,567 --> 00:09:27,367
but for purposes
of teaching and learning,
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00:09:27,367 --> 00:09:29,300
there's a lot more
that's going on
than just video.
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00:09:29,367 --> 00:09:31,500
If you just did video,
it's all on the teacher
to figure out
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00:09:31,567 --> 00:09:34,000
from the student's
facial expression.
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00:09:34,066 --> 00:09:35,667
What you want to do
is have a platform
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00:09:35,667 --> 00:09:37,967
which understands
that the teacher's
trying to teach content
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00:09:37,967 --> 00:09:39,600
and the students
are trying to learn
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00:09:39,667 --> 00:09:41,367
and the best way
to learn is apply.
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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.
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00:09:44,967 --> 00:09:47,166
So what we did
with BigBlueButton
was create a space
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00:09:47,166 --> 00:09:49,867
where the teacher
has lots of ways
to engage the students.
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00:09:49,867 --> 00:09:52,066
And that engagement
generates analytics,
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00:09:52,066 --> 00:09:55,667
and the analytics helps
guide the teacher to determine
which students are struggling
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00:09:55,667 --> 00:09:57,166
and then help
those students out.
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From the student's
point of view,
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00:09:58,266 --> 00:10:00,367
if the teacher
is aware of them,
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00:10:00,367 --> 00:10:02,200
cares about them
and helps them out,
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00:10:02,266 --> 00:10:04,467
it means
that virtual classroom
is really valuable
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00:10:04,467 --> 00:10:06,567
for the student
as well as the teacher.
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00:10:06,567 --> 00:10:09,867
Okay, so I guess as I look
at this classroom,
which is huge,
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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 WorldToday 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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