WEBVTT

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You know, if you've ever had that perfect experience

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online. Oh, yeah. I know exactly what you mean.

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Where you're watching a super high -res video

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and it just never buffers. Or you download this

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massive gigabyte -sized application update in

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what feels like seconds. Or, and this is the

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big one for me, you're trying to buy something

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during a huge online sale and the site actually

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works. It doesn't time out. Exactly. When that

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happens, you've just experienced an infrastructure

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that is working so well, it's basically invisible.

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And that's what we're talking about today, isn't

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it? The invisible backbone of the Internet. Right.

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Today, we are pulling back the curtain on the

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company that, well, quietly powers a huge amount

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of that modern web experience, Akamai Technologies.

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It really is the perfect case study. If you,

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the listener, are looking for that short pet

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to really understanding how this complex digital

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world works, Akamai. is where you start. And

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the name itself is a hint, right? It is. The

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name Akamai means clever or, you know, in a more

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modern sense, cool in Hawaiian. And that really

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points to the sheer mathematical sophistication

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that's under the hood of everything they do.

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Okay, so let's set our mission for this deep

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dive. We want to unpack Akamai's massive evolution.

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Yeah, because they didn't just stay in one lane.

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They started as a content delivery network, a

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CDN, just focused on making things faster. But

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they've made this incredibly calculated, you

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could even say aggressive strategic shift. Now

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they're a leader in cybersecurity and more recently,

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a major player in cloud services. So we're going

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to dissect their technical DNA. We'll track their

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growth through some massive acquisitions, which

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is a whole story in itself. And we'll look at

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the sometimes controversial place they hold in

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the history of the global network. Before we

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jump in, let's just ground everyone. What is

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Akamai today? OK, so at its core. Akamai is an

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American computer networking company. They're

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headquartered in Cambridge, Massachusetts. And

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their specialties now cover that whole stack.

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CDN, cybersecurity, DDoS mitigation, and a really

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fast -growing suite of cloud computing services.

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And just to understand the scale we're dealing

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with, they're a component of the S &amp;P 500. Which

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tells you right away they're not just a tech

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company. They are considered systemically important

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to the U .S. economy. They're stable. They're

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foundational. And the numbers back that up completely.

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I mean, looking at their 2024 figures, this is

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a giant. We're talking about U .S. $3 .99 billion

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in revenue. With a net income of U .S. $505 million.

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And they do all this with over 10 ,700 employees

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around the world. So the takeaway is clear. This

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company has evolved way beyond its dot -com origins.

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It's now, you know, critical global infrastructure.

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So let's go all the way back to the beginning.

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Let's start at the genesis, 1998, because this

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company didn't come from a business school pitch

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deck. It started as a math problem. It did. It

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started as a very abstract, very difficult mathematical

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problem in MIT designed to fix something that

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was fundamentally broken about the early web.

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And that's really the key difference here. The

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whole intellectual origin story starts with the

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co -founders, Daniel Lewin and F. Thompson Leighton.

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Right. And their research was all about tackling

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this issue of Internet hotspots. Explain that.

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What was a hotspot back then? So imagine it's

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the late 90s. Something goes viral, a big news

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event, maybe one of the first viral videos. The

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sheer number of people trying to access that

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one piece of content from its single origin server

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would just overwhelm it. The server just falls

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over. It falls over. The internet was incredibly

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fragile. The system would crash. Performance

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would be terrible for everyone. It just couldn't

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scale. So how did they solve what seems like,

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I mean, an insurmountable technical problem?

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It was all based on a concept they developed

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called consistent hashing. Okay. You're going

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to have to break that down for us. Right. So

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think of the Internet as this, I don't know,

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a giant library. And when a book becomes super

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popular, everyone rushes to that one single shelf

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to get it. And the shelf breaks. The shelf breaks.

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The whole library grinds to a halt. What consistent

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hashing does is it provides this really elegant

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mathematical way to put copies of that book.

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On thousands of different shelves all over the

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library in a distributed network. So you're not

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all crowding the same spot. You're not. But here's

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the really clever part, the consistent part of

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the name. If you need to add a new shelf or take

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one away for maintenance, the math behind it

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ensures you only have to move a tiny, minimal

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number of books. Ah, so it's efficient. You don't

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have to reorganize the entire library. Exactly.

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Dramatically improved efficiency, scalability,

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and crucially, stability. It's really the concept

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that allowed the modern high -traffic Internet

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to even function. And that conceptual breakthrough,

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it wasn't just theory. It gave them a viable

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product almost right away. It was immediate.

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Their business proposition was so powerful that

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it was chosen as a finalist in the 1998 MIT $50K

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competition, which is a huge deal. That validation

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was the springboard. So they incorporated pretty

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quickly after that. Incredibly quickly. They

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brought in Jonathan Selig and Randall Kaplan

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to help with the business side, and they officially

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incorporated on August 20, 1998. That kind of

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rapid success, especially then, it must have

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meant they needed to bring in some serious business

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veterans to manage the growth. Oh, for sure.

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You can't scale from an academic project to a

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global company without that. They recruited two

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key people, George Conrads, And Paul Sagan. Icon

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Res was a big name. A huge name. He'd been the

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chairman of BBN Corp and a senior VP of U .S.

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operations for IBM. He brought that, you know,

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that IBM level corporate seriousness. And Sagan,

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he was a former president of New Media for Time,

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Inc. So he understood the content side. That's

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a powerful combination, IBM Gravitas and new

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media savvy. It was essential. And their timeline

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from zero to the NASDAQ is just a perfect picture

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of that late 90s tech boom. It's wild. It's an

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absolutely explosive trajectory. So they bring

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Conrad's on as CEO in April 1999. They launched

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their commercial service that very same month.

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Okay. And then just six months later, on October

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29, 1999, they were listed on the NASDAQ. Wow.

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From an MIT research paper to a publicly traded

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company in just over a year. You just don't see

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speed like that very often. It's remarkable.

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And it's here in the middle of this incredible

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success story that the narrative takes just a

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profoundly tragic turn. We really have to address

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the event that changed the company and the world

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forever. Yes. The story is, it's just shadowed

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by the tragedy of September 11, 2001. The co

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-founder, Daniel Lewin. Daniel M. Lewin. He was

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killed aboard American Airlines Flight 11. That

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was the first plane to hit the World Trade Center.

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Lewin was a genius, not just in computer science,

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but he was also a former officer in the Israeli

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military. And he was seated close to the hijackers?

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He was. And based on reports and analysis, it's

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believed he may have tried to stop them. He was

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likely the first victim of the attacks, stabbed

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by one of the terrorists. That's just an immense,

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an unbelievable loss, not just for the company,

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but for the entire field of Internet research.

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A visionary founder, gone. And for the company,

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still in its early days, that's a blow that could

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have been fatal. How did they manage to move

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forward? It was a defining moment for their culture

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and their leadership. George Conrads really had

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to steer the company through that immediate aftermath

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and then right into the dot -com bust that followed.

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He stayed on until 2005. And that's when Paul

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Sagan, the media expert, took over. That's right.

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Sagan took the reins as CEO. And his tenure seems

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to be about proving Akamai could be more than

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just a one -trick pony, that it was a sustainable

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business. That's exactly it. Sagan recognized

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that being only a CDN made them vulnerable. Competitors

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could pop up. Prices could drop. So his strategy

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was all about aggressive diversification. Expanding

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the services beyond just caching content. Precisely.

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And it worked. Under his leadership, the company

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grew enormously. By the time he left the CEO

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role, they were up to $1 .37 billion in revenue.

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He really built the foundation for the integrated

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platform they are today. And then the next big

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leadership shift. In 2013, it was a return to

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the company's deepest roots. It was. In 2013,

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co -founder Tom Layton, the mathematician, the

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guy behind the original consistent hashing research,

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he was elected CEO, replacing Sagan. What did

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that signal to the market? It signaled a strategic

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doubling down on technology and innovation. It

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was a statement that in a world that was getting

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more complex, Akamai's edge would come from deep

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engineering, not just from business strategy.

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And throughout all this, the market really recognized

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their importance. Absolutely. They were getting

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constant validation. They were added to the Russell

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Indexes in 2001. And then the really big one,

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they joined the S &amp;P 500 Index in July of 2007.

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Which means you're no longer just a successful

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tech company. You're a pillar. You are a pillar

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of the American industrial landscape. And their

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physical presence, their headquarters kind of

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grew along with their stature. It did. It mirrored

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their journey. They started in Technology Square,

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then they were spread out across multiple buildings

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in Cambridge Center. And this all culminated

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in December 2019. With the new building. A massive

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purpose -built headquarters at 145 Broadway,

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right in the heart of Kendall Square. And that's

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not just a real estate move. It's symbolic. It

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plants Akamai's flag right next to MIT in the

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center of one of the world's biggest innovation

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hubs. Okay, let's shift gears now and talk about

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the actual magic behind the curtain. The core

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of their entire operation is this thing they

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call the Akamai Intelligent Edge Platform. Right.

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We hear words like cloud and edge thrown around

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constantly, but what does Intelligent Edge really

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mean conceptually for someone trying to get their

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head around this stuff? Okay, so the Intelligent

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Edge Platform is first and foremost a massively

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distributed cloud computing platform. That's

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the key. Massively distributed. So what's the

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difference between this and, say, a traditional

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cloud provider like AWS? The difference is its

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scale and its topology, its shape. When we say

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edge, we mean they have physically placed their

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servers as close as humanly possible to you,

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the user. It's at the final mile of the Internet.

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That's totally different from AWS or Azure, who

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rely on these huge centralized mega regions.

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And this scale, this distribution. That's really

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their competitive advantage, isn't it? Let's

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try to quantify this edge. Just how big are we

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talking? The scale is, frankly, astronomical.

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It's hard to even comprehend. The Akamai network

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today consists of approximately 365 ,000 servers.

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Wow. 365 ,000 individual points of presence.

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And they are meticulously spread across more

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than 135 countries and territories. So they're

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everywhere. They're everywhere. And they sit

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on roughly 1 ,350 of the world's different networks.

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So no matter where you're connecting from, the

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content, the data, it's never far away. That's

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incredible. But just having a lot of servers

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doesn't make it intelligent. What's the smart

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part? The intelligence is the software. It's

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the real -time data collection and the complex

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algorithmic brain that runs on top of all those

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servers. The network is constantly monitoring

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itself and the wider Internet. What's it looking

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for? It's gathering information on global traffic.

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It's identifying congestion points. It's tracking

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trouble spots on the network. And it's calculating

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the absolute best routes for data all in real

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time. This proprietary software, which all goes

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back to that original consistent hashing idea,

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it ensures the system doesn't just store content.

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It actively and intelligently routes you to the

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fastest, healthiest, least congested server available

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at that exact nanosecond. So it's not a static

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map. It's a living, breathing, globally distributed

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traffic controller. That's the perfect way to

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put it. It's a gigantic self -optimizing system.

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Think of it like this. If you're going on a road

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trip, a normal DNS server just tells you the

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address of your final destination. Right. Here's

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where you're going. Akamai's system is like Waze

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or Google Maps for the Internet. It's constantly

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updating you on accidents, on traffic jams, and

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it's diverting you in real time to the fastest

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alternate route so you get to the nearest best

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exit the edge server with the absolute minimum

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delay. Okay, so let's walk through an actual

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example. Say I click on a link to download a

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huge software update from a big company. How

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does Akamai step in and do its thing? How does

00:12:24.129 --> 00:12:26.610
it avoid the middle mile? Okay, so it's basically

00:12:26.610 --> 00:12:28.710
a four -step process that hijacks the standard

00:12:28.710 --> 00:12:31.690
web request to make it better. Step one, you

00:12:31.690 --> 00:12:33.899
click the link. you initiate the URL request.

00:12:34.139 --> 00:12:36.980
Simple enough. Step two, that triggers a DNS

00:12:36.980 --> 00:12:40.940
request. But, and this is the crucial part, instead

00:12:40.940 --> 00:12:43.240
of going to the software company's big, faraway

00:12:43.240 --> 00:12:46.559
data center, the request is intercepted and redirected

00:12:46.559 --> 00:12:49.700
to Akamai's own authoritative DNS servers. This

00:12:49.700 --> 00:12:52.600
is the moment Akamai takes control. So my request

00:12:52.600 --> 00:12:54.820
for directions is handed off to Akamai's Waze.

00:12:54.840 --> 00:12:57.980
What's step three? In step three, Akamai's mapping

00:12:57.980 --> 00:13:00.639
system that brain running all the algorithms,

00:13:00.799 --> 00:13:03.600
retrieves an IP address. But that IP address

00:13:03.600 --> 00:13:05.480
doesn't point to the origin server. It points

00:13:05.480 --> 00:13:08.240
to the single optimal Akamai Edge server that

00:13:08.240 --> 00:13:10.080
is closest to you and has the best connection

00:13:10.080 --> 00:13:13.139
at that moment. And step four. Step four. Your

00:13:13.139 --> 00:13:15.159
browser or device connects directly to that chosen

00:13:15.159 --> 00:13:17.639
Akamai Edge server, and the download starts immediately.

00:13:17.960 --> 00:13:20.100
So I'm not going across the country or across

00:13:20.100 --> 00:13:22.679
the ocean to get the file. I'm talking to a server

00:13:22.679 --> 00:13:25.279
that might be in my city. Maybe even my neighborhood.

00:13:25.539 --> 00:13:28.360
Exactly. But how does that server have the file

00:13:28.360 --> 00:13:30.500
already? That's the question. That's the concept

00:13:30.500 --> 00:13:34.059
of mirroring and caching. Akamai transparently

00:13:34.059 --> 00:13:36.720
mirrors all the key web content from its customers

00:13:36.720 --> 00:13:40.419
to HTML, JavaScript, but also massive software

00:13:40.419 --> 00:13:42.840
downloads, video streams, everything. The server

00:13:42.840 --> 00:13:45.059
selection process knows what you want and where

00:13:45.059 --> 00:13:47.279
you are, and it has it ready for you. And this

00:13:47.279 --> 00:13:49.419
all serves to bypass what you call the middle

00:13:49.419 --> 00:13:51.659
mile bottleneck. What's so bad about the middle

00:13:51.659 --> 00:13:53.879
mile? The middle mile is the long, unpredictable

00:13:53.879 --> 00:13:57.110
haul. It's the transoceanic fiber cables, the

00:13:57.110 --> 00:13:59.590
international pathways. It's where data gets

00:13:59.590 --> 00:14:02.090
stuck in traffic jams, where different networks

00:14:02.090 --> 00:14:04.610
don't talk to each other efficiently. It's slow

00:14:04.610 --> 00:14:07.429
and unreliable. So by delivering from the last

00:14:07.429 --> 00:14:10.460
mile. From that server near me. Akamai gives

00:14:10.460 --> 00:14:13.779
you faster downloads, way more reliability, and

00:14:13.779 --> 00:14:16.360
it allows for massive scalability during huge

00:14:16.360 --> 00:14:18.580
events. They have a whole product line, download

00:14:18.580 --> 00:14:20.860
delivery built just on this with detailed analytics

00:14:20.860 --> 00:14:23.399
so customers can see exactly how well it's working.

00:14:23.559 --> 00:14:25.559
The source material also mentioned they use other

00:14:25.559 --> 00:14:27.399
delivery methods sometimes beyond just their

00:14:27.399 --> 00:14:30.460
own servers. They do. They also use peer -to

00:14:30.460 --> 00:14:32.340
-peer networking for certain types of content.

00:14:32.620 --> 00:14:35.620
This means in some cases they can leverage the

00:14:35.620 --> 00:14:37.740
spare bandwidth of other end users' computers

00:14:37.740 --> 00:14:40.519
to help deliver content. It's just another layer

00:14:40.519 --> 00:14:42.960
of optimization. Okay, one last thing on the

00:14:42.960 --> 00:14:45.519
tech. In 2013, they launched something called

00:14:45.519 --> 00:14:48.940
the Open Initiative. Why did they need to open

00:14:48.940 --> 00:14:52.120
up what sounds like a very closed, very proprietary

00:14:52.120 --> 00:14:55.019
system? That was a really important strategic

00:14:55.019 --> 00:14:58.379
move towards becoming a platform. The web was

00:14:58.379 --> 00:15:00.799
getting more complex and big customers didn't

00:15:00.799 --> 00:15:03.759
just want a service, they wanted control. The

00:15:03.759 --> 00:15:06.539
open initiative gave customers and partners direct

00:15:06.539 --> 00:15:09.120
API access to the intelligent platform. So they

00:15:09.120 --> 00:15:10.879
could customize it. They could develop their

00:15:10.879 --> 00:15:12.720
own tools. They could integrate it deeply with

00:15:12.720 --> 00:15:14.580
their own DevOps pipelines. They could get real

00:15:14.580 --> 00:15:17.419
-time big data out of the system all through

00:15:17.419 --> 00:15:20.200
a single interface. It changed Akamai from being

00:15:20.200 --> 00:15:22.399
just a service provider to being programmable

00:15:22.399 --> 00:15:24.580
infrastructure. So Akamai's original mission

00:15:24.580 --> 00:15:27.080
was all about speed. But if you look at the last

00:15:27.080 --> 00:15:29.440
decade, the story is completely different. It's

00:15:29.440 --> 00:15:32.000
about fortification. It's a story driven almost

00:15:32.000 --> 00:15:35.899
entirely by acquisitions. A huge, highly deliberate,

00:15:36.019 --> 00:15:40.080
strategic pivot. They clearly recognized that

00:15:40.080 --> 00:15:42.519
just being fast isn't enough in the modern world.

00:15:42.659 --> 00:15:44.899
You have to be secure and you have to be able

00:15:44.899 --> 00:15:47.240
to run applications. And they made this official,

00:15:47.379 --> 00:15:49.320
didn't they? They reorganized the company. They

00:15:49.320 --> 00:15:52.809
did. On February 9, 2021, they announced this

00:15:52.809 --> 00:15:55.610
big reorganization into two distinct internal

00:15:55.610 --> 00:15:58.690
groups, security technology and edge technology.

00:15:59.049 --> 00:16:01.929
And they reestablished the CTO role, the chief

00:16:01.929 --> 00:16:05.049
technology officer role, naming Robert Blumhoff.

00:16:05.269 --> 00:16:08.190
That move alone tells you everything. It says

00:16:08.190 --> 00:16:10.250
that the next phase of growth is going to be

00:16:10.250 --> 00:16:13.090
driven by deep technology, not just by sales.

00:16:13.309 --> 00:16:15.269
So let's look at how they built that first pillar,

00:16:15.409 --> 00:16:17.450
the security technology group. It makes sense,

00:16:17.490 --> 00:16:19.220
right? If you're sitting at the edge of the Internet,

00:16:19.379 --> 00:16:21.299
you're the first line of defense. You have to

00:16:21.299 --> 00:16:23.440
be a shield. And the first thing they did was

00:16:23.440 --> 00:16:25.299
buy the muscle they needed to handle massive

00:16:25.299 --> 00:16:27.679
attacks. That was Prolexic. Prolexic Technologies.

00:16:28.840 --> 00:16:32.320
Acquired in February 2014 for about $390 million.

00:16:33.539 --> 00:16:36.159
Prolexic was a pure play cybersecurity provider

00:16:36.159 --> 00:16:40.559
that specialized in DDoS prevention. This wasn't

00:16:40.559 --> 00:16:42.539
just adding a feature. This immediately gave

00:16:42.539 --> 00:16:44.360
Akamai a world -class defensive architecture

00:16:44.360 --> 00:16:47.000
that could absorb and scrub some of the biggest

00:16:47.000 --> 00:16:49.440
attacks on the internet. So overnight, they became

00:16:49.440 --> 00:16:52.320
a frontline defender. Absolutely. But then the

00:16:52.320 --> 00:16:54.120
threat landscape changed. It wasn't just about

00:16:54.120 --> 00:16:56.039
big attacks from the outside anymore. It was

00:16:56.039 --> 00:16:58.139
about what happens when an attacker gets inside.

00:16:58.399 --> 00:17:01.580
Exactly. The idea of zero trust. And to get into

00:17:01.580 --> 00:17:04.259
that game, they made a massive acquisition. Guardicore.

00:17:04.380 --> 00:17:08.259
This one was huge. September 2021 for $600 million.

00:17:08.640 --> 00:17:11.579
A massive and deeply strategic purchase. This

00:17:11.579 --> 00:17:13.559
became the foundation for their whole Zero Trust

00:17:13.559 --> 00:17:15.980
security platform. OK, let's stop and define

00:17:15.980 --> 00:17:18.160
that for the listener. What is Zero Trust and

00:17:18.160 --> 00:17:20.720
what is segmentation? So traditional security

00:17:20.720 --> 00:17:23.240
is like a castle. It has a hard shell, a strong

00:17:23.240 --> 00:17:25.680
perimeter. But once you get inside, the interior

00:17:25.680 --> 00:17:28.480
is soft. A hacker can move around freely. They

00:17:28.480 --> 00:17:31.059
can move laterally. Right. Zero Trust says we

00:17:31.059 --> 00:17:33.839
trust nothing, even inside the network. And the

00:17:33.839 --> 00:17:36.859
way you enforce that is with segmentation. You

00:17:36.859 --> 00:17:39.359
divide the internal network into tiny isolated

00:17:39.359 --> 00:17:43.079
zones. So if one part gets compromised, the attacker

00:17:43.079 --> 00:17:45.579
is trapped. They're stuck in that one tiny segment

00:17:45.579 --> 00:17:48.859
and can't move laterally to steal critical data

00:17:48.859 --> 00:17:52.460
or infect other systems. GuardiCore gave Akamai

00:17:52.460 --> 00:17:54.839
the software to do that at a massive scale. So

00:17:54.839 --> 00:17:57.000
they've secured the perimeter with Prolexic.

00:17:57.000 --> 00:17:59.420
They've secured the inside with GuardiCore. What

00:17:59.420 --> 00:18:01.680
was next? The next major attack surface. Yeah.

00:18:01.759 --> 00:18:03.759
How do modern applications talk to each other?

00:18:03.940 --> 00:18:07.059
Through APIs, application programming interfaces.

00:18:07.500 --> 00:18:10.299
Right, which are everywhere now. And often very

00:18:10.299 --> 00:18:13.680
insecure. So in June of 2024, they bought No

00:18:13.680 --> 00:18:17.000
Name Security, an API security vendor, for $450

00:18:17.000 --> 00:18:19.660
million. This shows they're committed to covering

00:18:19.660 --> 00:18:21.799
every new vulnerability that emerges. And then

00:18:21.799 --> 00:18:23.480
they filled in the gaps with a bunch of other

00:18:23.480 --> 00:18:25.500
specialized firms. It was like a mosaic. They

00:18:25.500 --> 00:18:27.019
just systematically bought the pieces they needed.

00:18:27.180 --> 00:18:30.319
In December 2016, they bought CyberFend for bot

00:18:30.319 --> 00:18:32.500
detection, which is crucial for stopping credential

00:18:32.500 --> 00:18:35.460
stuffing and protecting e -commerce sites. They

00:18:35.460 --> 00:18:38.599
bought Soha Systems in October 2016 for secure

00:18:38.599 --> 00:18:41.779
enterprise access. They got secure web gateway

00:18:41.779 --> 00:18:45.160
tech by buying blocks in November 2015. They

00:18:45.160 --> 00:18:47.059
even bought a company called Inverse Inc. in

00:18:47.059 --> 00:18:49.640
February 2021 for its open source network access

00:18:49.640 --> 00:18:52.759
controller, PacketFence. They were building a

00:18:52.759 --> 00:18:55.059
complete end -to -end security stack. OK, so

00:18:55.059 --> 00:18:57.319
that's the security pillar. Let's pivot to the

00:18:57.319 --> 00:19:00.279
second massive expansion, the push into cloud

00:19:00.279 --> 00:19:02.619
computing. This feels like their biggest bet

00:19:02.619 --> 00:19:05.160
yet. It is arguably their most high stakes move.

00:19:05.420 --> 00:19:07.359
They didn't just want to deliver content anymore.

00:19:07.440 --> 00:19:09.769
They wanted to. host and run the applications

00:19:09.769 --> 00:19:12.009
themselves. They wanted to compete directly with

00:19:12.009 --> 00:19:14.029
the big hyperscalers. And the foundational move

00:19:14.029 --> 00:19:16.569
here was buying Linode. Linode. Yeah. February

00:19:16.569 --> 00:19:20.910
2022 for a whopping $900 million. Linode was

00:19:20.910 --> 00:19:23.509
the crucial missing piece. It gave them a strong

00:19:23.509 --> 00:19:26.009
existing cloud infrastructure service compute

00:19:26.009 --> 00:19:29.609
storage with a loyal developer -friendly community

00:19:29.609 --> 00:19:32.130
already built in. Why was buying Linode so essential?

00:19:32.230 --> 00:19:33.349
Couldn't they have just built that themselves?

00:19:33.829 --> 00:19:36.250
They could have, but it would have taken years

00:19:36.250 --> 00:19:38.940
and been incredibly expensive. Building a developer

00:19:38.940 --> 00:19:42.160
-friendly cloud platform from scratch is a monumental

00:19:42.160 --> 00:19:45.039
task. Linode gave them instant infrastructure

00:19:45.039 --> 00:19:47.759
and, just as importantly, instant credibility

00:19:47.759 --> 00:19:50.680
with developers. And the strategy was to merge

00:19:50.680 --> 00:19:53.519
Linode's compute with Akamai's Edge network.

00:19:53.880 --> 00:19:56.940
That's the secret sauce. By integrating Linode's

00:19:56.940 --> 00:20:00.119
compute layer with their existing 365 ,000 servers,

00:20:00.559 --> 00:20:03.640
Akamai instantly created a decentralized cloud

00:20:03.640 --> 00:20:06.240
offering. This is a strategic counter -argument

00:20:06.240 --> 00:20:08.940
to AWS or Google Cloud, where you have to pick

00:20:08.940 --> 00:20:12.400
a big centralized region to run your stuff. Akamai

00:20:12.400 --> 00:20:14.240
says, why not run it everywhere? And they got

00:20:14.240 --> 00:20:16.539
a huge piece of market validation for this strategy

00:20:16.539 --> 00:20:19.099
pretty quickly. A massive proof point. In February

00:20:19.099 --> 00:20:22.720
of 2025, Akamai announced this major win. They

00:20:22.720 --> 00:20:25.119
were chosen as a strategic cloud provider by

00:20:25.119 --> 00:20:26.940
one of the world's largest technology companies.

00:20:27.079 --> 00:20:29.720
And this wasn't a small deal. Not at all. It

00:20:29.720 --> 00:20:31.680
was a multi -year commitment to spend over $100

00:20:31.680 --> 00:20:34.259
million on their cloud services, the services

00:20:34.259 --> 00:20:37.150
built on that Linode foundation. When a massive

00:20:37.150 --> 00:20:39.309
tech peer gives you a nine -figure vote of confidence,

00:20:39.549 --> 00:20:41.950
it confirms your strategy is viable at the enterprise

00:20:41.950 --> 00:20:44.210
level. So before we move on, let's just quickly

00:20:44.210 --> 00:20:46.650
touch on the acquisitions that built the original

00:20:46.650 --> 00:20:48.730
CDN backbone we talked about earlier. Right.

00:20:48.769 --> 00:20:50.529
These were the deals that cemented their dominance

00:20:50.529 --> 00:20:53.529
back in the 2000s. They bought their rival. Speedera

00:20:53.529 --> 00:20:56.710
Networks in June 2005. They picked up another

00:20:56.710 --> 00:21:01.069
one, Netly Inc., in March 2007 for about $154

00:21:01.069 --> 00:21:04.069
million. And the Katendo acquisition was a big

00:21:04.069 --> 00:21:06.289
one, right? That was seen as a major move. A

00:21:06.289 --> 00:21:08.950
huge strategic move. They bought Katendo in March

00:21:08.950 --> 00:21:13.609
2012 for nearly $279 million. Katendo was known

00:21:13.609 --> 00:21:16.089
for really innovative mobile and dynamic content

00:21:16.089 --> 00:21:19.269
acceleration. Buying them helped Akamai stay

00:21:19.269 --> 00:21:21.920
ahead of the technology curve. And they also

00:21:21.920 --> 00:21:24.299
snapped up smaller specialized firms like Blaze

00:21:24.299 --> 00:21:26.740
Software and Fasasoft just to fine tune every

00:21:26.740 --> 00:21:28.920
last bit of performance out of the network. OK,

00:21:29.000 --> 00:21:31.619
so when a company sits at the very center of

00:21:31.619 --> 00:21:35.160
global data flow, when it's the pipe for securing,

00:21:35.559 --> 00:21:39.039
speeding up and now hosting web traffic, it's

00:21:39.039 --> 00:21:41.299
inevitable that it gets caught up in global politics

00:21:41.299 --> 00:21:44.259
and scrutiny. Absolutely. When you own that much

00:21:44.259 --> 00:21:46.680
of the global highway, you become a player in

00:21:46.680 --> 00:21:48.619
international affairs, whether you want to or

00:21:48.619 --> 00:21:51.549
not. So we have to look at some of the key historical

00:21:51.549 --> 00:21:54.269
incidents that put Akamai in the public spotlight.

00:21:54.809 --> 00:21:57.029
And we want to be really careful here to present

00:21:57.029 --> 00:22:00.009
the source material's claims impartially. A good

00:22:00.009 --> 00:22:02.369
place to start is the Al Jazeera incident back

00:22:02.369 --> 00:22:05.990
in 2003. Akamai was providing its content delivery

00:22:05.990 --> 00:22:08.690
services for the Arabic News Network during the

00:22:08.690 --> 00:22:10.910
first few weeks of the Iraq war. This was from

00:22:10.910 --> 00:22:14.670
March 28th to April 2nd, 2003. And then suddenly

00:22:14.670 --> 00:22:17.109
the service was cut off. It was terminated abruptly.

00:22:17.640 --> 00:22:20.000
And the claim at the time from the English language

00:22:20.000 --> 00:22:23.059
managing editor of Al Jazeera was that Akamai

00:22:23.059 --> 00:22:25.839
terminated the service due to political pressure.

00:22:25.980 --> 00:22:29.119
And the sources report that claim. They do. And

00:22:29.119 --> 00:22:31.779
it really highlights the incredibly difficult

00:22:31.779 --> 00:22:35.500
position Akamai is in. As a U .S.-based company,

00:22:35.660 --> 00:22:38.299
they face intense pressure over who they serve,

00:22:38.420 --> 00:22:40.779
especially when that client's content is seen

00:22:40.779 --> 00:22:42.839
as controversial by certain governments or groups.

00:22:43.309 --> 00:22:46.049
Moving on from geopolitics to, well, internal

00:22:46.049 --> 00:22:48.390
issues, Akamai also got caught up in some of

00:22:48.390 --> 00:22:51.630
the big ethical scandals of the financial world.

00:22:51.789 --> 00:22:53.410
That's the insider trading charge from 2013.

00:22:53.789 --> 00:22:57.109
The SEC charged a former Akamai executive with

00:22:57.109 --> 00:22:59.769
illegally tipping non -public financial information

00:22:59.769 --> 00:23:01.529
about the company. And this was part of that

00:23:01.529 --> 00:23:06.069
huge infamous scheme run by Raj Ratnam? The galleon

00:23:06.069 --> 00:23:08.450
management hedge fund scheme, yes. It's just

00:23:08.450 --> 00:23:10.970
a stark reminder that even a company founded

00:23:10.970 --> 00:23:13.279
on these pure academic math... medical principles

00:23:13.279 --> 00:23:15.839
is still vulnerable to the same human ethical

00:23:15.839 --> 00:23:17.700
failures you see on Wall Street. And maybe the

00:23:17.700 --> 00:23:19.759
most complex issue of all for a company like

00:23:19.759 --> 00:23:22.099
this is surveillance and government access to

00:23:22.099 --> 00:23:24.759
data. It is, especially given their unique architecture.

00:23:25.000 --> 00:23:27.299
And this brings us to a 2014 report concerning

00:23:27.299 --> 00:23:30.119
the NSA and the FBI. What did the report allege?

00:23:30.519 --> 00:23:32.380
It alleged that the National Security Agency

00:23:32.380 --> 00:23:35.059
and the Federal Bureau of Investigation had used

00:23:35.059 --> 00:23:38.680
Facebook's Akamai -powered CDN to collect information

00:23:38.680 --> 00:23:41.019
on Facebook users. And the implication there

00:23:41.019 --> 00:23:43.200
is that because Akamai's network is so vast,

00:23:43.440 --> 00:23:46.319
so distributed, it becomes a prime target. It

00:23:46.319 --> 00:23:48.380
becomes a prime target or a potential vector

00:23:48.380 --> 00:23:53.339
for intelligence gathering. 365 ,000 servers

00:23:53.339 --> 00:23:55.759
handling a staggering amount of the world's data,

00:23:56.000 --> 00:23:59.440
you are by definition an entity of interest to

00:23:59.440 --> 00:24:02.140
state actors. So whether the company is directly

00:24:02.140 --> 00:24:04.819
complicit or not, its very architecture creates

00:24:04.819 --> 00:24:07.519
a point of interest or a potential vulnerability.

00:24:07.940 --> 00:24:09.980
That is the essential contest here. Akamai built

00:24:09.980 --> 00:24:12.700
this network for speed and efficiency, but its

00:24:12.700 --> 00:24:15.519
success means it is now a non -negotiable piece

00:24:15.519 --> 00:24:18.079
of global communications infrastructure. And

00:24:18.079 --> 00:24:20.579
that forces it to navigate these incredibly complex

00:24:20.579 --> 00:24:23.319
legal and privacy issues that are a world away

00:24:23.319 --> 00:24:25.859
from the MIT lab where it all started. Let's

00:24:25.859 --> 00:24:27.579
circle back to that lab for a second, because

00:24:27.579 --> 00:24:29.460
despite all this corporate growth, all the controversy,

00:24:29.660 --> 00:24:31.859
their core identity is still deeply rooted in

00:24:31.859 --> 00:24:34.680
computer science. That academic foundation is

00:24:34.680 --> 00:24:37.640
still their strategic backbone. Their researchers,

00:24:37.759 --> 00:24:39.940
their founders, they've continued to publish

00:24:39.940 --> 00:24:42.920
key scientific papers that literally form the

00:24:42.920 --> 00:24:45.299
basis of how modern content delivery works. So

00:24:45.299 --> 00:24:47.420
they're still pushing the science forward. Constantly.

00:24:47.460 --> 00:24:50.079
You can find their papers on consistent hashing

00:24:50.079 --> 00:24:52.359
from the 90s, on globally distributed content

00:24:52.359 --> 00:24:54.839
delivery, and more recent sophisticated work

00:24:54.839 --> 00:24:58.400
on how their DNS system provides these authoritative,

00:24:58.440 --> 00:25:02.240
optimized answers to the world's queries. This

00:25:02.240 --> 00:25:04.480
ensures their edge is based on patented algorithms,

00:25:04.779 --> 00:25:07.440
not just on having a lot of servers. So when

00:25:07.440 --> 00:25:09.640
you put it all together, Tom Leighton, the mathematician,

00:25:09.859 --> 00:25:12.519
returning as CEO, the reestablished CPO role,

00:25:12.619 --> 00:25:14.640
the massive spending on security and compute,

00:25:14.960 --> 00:25:17.599
what does it all mean for Akamai's position today?

00:25:17.700 --> 00:25:20.380
Where do they fit in the modern Internet landscape?

00:25:20.799 --> 00:25:23.039
I think they've successfully navigated a really

00:25:23.039 --> 00:25:25.599
difficult transition. They are still, without

00:25:25.599 --> 00:25:27.700
a doubt, one of the original and most dominant

00:25:27.700 --> 00:25:30.500
content delivery networks in the world. But they

00:25:30.500 --> 00:25:32.500
are so much more than that now. They've transcended

00:25:32.500 --> 00:25:35.680
that label. Completely. They are now an established,

00:25:35.900 --> 00:25:39.160
integrated player in the very competitive cloud

00:25:39.160 --> 00:25:42.500
computing space. They sit alongside giants like

00:25:42.500 --> 00:25:44.880
Microsoft and Google, but they offer something

00:25:44.880 --> 00:25:47.940
fundamentally different. A decentralized architecture.

00:25:48.460 --> 00:25:51.279
They've morphed from just an optimization tool

00:25:51.279 --> 00:25:53.839
into a full -blown enterprise platform that gives

00:25:53.839 --> 00:25:56.940
you speed, security, and computing all bundled

00:25:56.940 --> 00:25:59.359
together. They're trying to be the entire decentralized

00:25:59.359 --> 00:26:02.279
stack. The network, the shield, and the server

00:26:02.279 --> 00:26:04.599
all operating from the edge. That's it, exactly.

00:26:04.759 --> 00:26:06.460
They're changing their value proposition from

00:26:06.460 --> 00:26:09.500
just optimizing web traffic to actually hosting,

00:26:09.799 --> 00:26:12.099
defending, and running the applications themselves

00:26:12.099 --> 00:26:15.119
where you, the user, need them. They let you

00:26:15.119 --> 00:26:17.549
bypass the late. of those big central cloud regions

00:26:17.549 --> 00:26:20.190
entirely. Hashtag tag tag outro. So let's try

00:26:20.190 --> 00:26:22.109
to synthesize this. What's the core takeaway

00:26:22.109 --> 00:26:24.349
for you, the learner, when it comes to Akamai

00:26:24.349 --> 00:26:26.529
technologies? Well, the first thing is to forget

00:26:26.529 --> 00:26:29.190
the old definition of them as just a speed booster.

00:26:29.410 --> 00:26:32.309
Right. Akamai has evolved into this fully integrated

00:26:32.309 --> 00:26:35.549
security and cloud computing platform. It acts

00:26:35.549 --> 00:26:38.250
as the essential, massively distributed traffic

00:26:38.250 --> 00:26:40.869
controller for the entire modern web. They sit

00:26:40.869 --> 00:26:43.230
in this incredibly strategic position between

00:26:43.230 --> 00:26:46.160
you and the data you need. And they're simultaneously

00:26:46.160 --> 00:26:49.200
optimizing the route, scrubbing out the malicious

00:26:49.200 --> 00:26:52.039
traffic, and in many cases providing the actual

00:26:52.039 --> 00:26:54.039
computing power that runs the service you're

00:26:54.039 --> 00:26:56.000
using. That initial mathematical breakthrough,

00:26:56.160 --> 00:26:58.420
the idea that led to this enormous network of

00:26:58.420 --> 00:27:02.420
365 ,000 servers, is now the engine that's driving

00:27:02.420 --> 00:27:05.299
this triple threat of speed, defense, and compute.

00:27:05.789 --> 00:27:08.150
And all those acquisitions we talked about, Linode

00:27:08.150 --> 00:27:10.609
for cloud, Prolexic for defense, Guardacore for

00:27:10.609 --> 00:27:13.250
zero trust security. They've all been pieces

00:27:13.250 --> 00:27:16.029
of a puzzle to secure their position as this

00:27:16.029 --> 00:27:19.150
systemic global force in the digital economy.

00:27:19.410 --> 00:27:21.849
Which brings us to our final provocative thought

00:27:21.849 --> 00:27:24.710
for you to consider. Akamai is absolutely central

00:27:24.710 --> 00:27:27.069
to how the web performs. It provides crucial

00:27:27.069 --> 00:27:30.549
speed, crucial security, but its sheer scale

00:27:30.549 --> 00:27:33.089
and the centralized control over that massively

00:27:33.089 --> 00:27:36.430
distributed system. It raises a fundamental question.

00:27:36.589 --> 00:27:38.349
A question about the future architecture of the

00:27:38.349 --> 00:27:41.170
web itself. Exactly. If the edge is everything,

00:27:41.410 --> 00:27:44.210
and one company provides both the highway and

00:27:44.210 --> 00:27:46.750
the security checkpoint for so much of the world's

00:27:46.750 --> 00:27:50.019
digital traffic, What are the long -term implications?

00:27:50.579 --> 00:27:53.619
What does it mean for the resiliency, the diversity,

00:27:53.740 --> 00:27:56.079
and maybe even the freedom of the internet when

00:27:56.079 --> 00:27:58.839
such a significant amount of control rests with

00:27:58.839 --> 00:28:02.339
one single intelligent platform? It's a powerful

00:28:02.339 --> 00:28:04.839
concentration of digital infrastructure. And

00:28:04.839 --> 00:28:06.319
I think we're only just beginning to understand

00:28:06.319 --> 00:28:08.859
the consequences of that. Something worth mulling

00:28:08.859 --> 00:28:10.819
over the next time that massive download finishes

00:28:10.819 --> 00:28:11.400
in a flash.
