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Edge Computing Is Leading the Next Great Tech Revolution

Companies / Tech Stocks Nov 18, 2020 - 03:29 PM GMT

By: Stephen_McBride

Companies


Do you want in on the next great tech revolution? Well, it’s happening before our eyes. But it’s a shift so subtle, hardly anyone recognizes the profits at stake.

As I’ll show you today, these subtle shifts in computing happen once every 20 years or so. Last time, it handed investors 833% and 2,247% gains in just a few years. And I’m predicting even bigger profits this time around.

You see, every 20 years or so, computers go through a complete transformation. I’m not talking about getting a little faster or a little smaller. That happens almost every day. I’m talking a complete change in how computers “work.”

Let me show you. In 1944, IBM engineers built the first “all-purpose” computer. Weighing in at 10,000 pounds, the Harvard Mark 1 stretched 51 ft. long.


These massive “mainframes” are what started it all. But they were so big and clunky, they were confined to science labs. IBM (IBM) pioneered this first computing wave. And investors who bought its stock in 1960 quadrupled their money over the next decade.

Then, in 1973, a Harvard drop-out hatched a big idea

By the early ‘70s, computers had advanced a lot, but they still had one big problem. You had to be a whiz kid to use one. And this kept them off-limits for ordinary Americans. Bill Gates founded Microsoft (MSFT) in 1975 with the goal of making computers accessible to everyone.

This was the first major shift in how computers “worked.” The personal computer (PC) revolution pulled technology out of science labs. Computers were no longer reserved for geniuses at Harvard and MIT.

For the first time ever, tech was distributed among millions of households and businesses. Microsoft led this transformation and handed early investors 58,000% gains in the process.

Dozens of others disruptors who led this transformation like Intel, Apple, and Oracle handed investors many times their money, too.

Then computing shifted again

Did you know 3.5 billion people own a smartphone today? There are more computers in the world than ever before. And you can do practically anything with these pocket-sized machines. BUT—behind the scenes, how computing “works” has flipped back to the days of 50 foot-long mainframes.

When you hit search on Google, that query isn’t processed by your phone. Instead, it travels through miles of fiber optic wires and into a warehouse packed full of servers… known as a data center. These servers handle your request, and send a trickle of information back to you.

Whether you’re listening to music on Spotify, or streaming Netflix, this is how modern computing works. Computing has shifted back to a “centralized” model. Smartphones are simply our gateway into the network of giant data centers that are the “brains” of modern computing.

Now you might be thinking, “Stephen, this is such a subtle change. Why should I even care?” This shift might seem insignificant, but it kicked off the “cloud computing” era, one of the greatest moneymaking trends in stock market history.

It opened the floodgates for dozens of companies to tap into these giant data centers and “stream” their services over the internet. Cybersecurity experts Okta (OKTA) and Zscaler (ZS) used this trick to net a fortune for investors. In fact, Okta has shot up 833% over the past three years.

Ditto for firms selling boring old payroll software. Paycom (PAYC) has shot up 2,247% since its IPO in 2014. Along with Paylocity (PCTY), they have been two of the top-performing stocks over the past couple of years.

We’re on the cusp of the fourth great computing shift

A network of giant data centers essentially control modern computing. This centralized model works fine for yesterday’s technologies. But it’s too slow for today and tomorrow’s tech breakthroughs.

Take self-driving cars. They must make lightning-fast, 100% accurate decisions. If a child runs across the street, the car can’t risk even the slightest delay before it applies the brakes. As you can imagine, this is a big problem if the car has to wait for cues from a data center 500 miles away. Ditto for industries like remote surgery and flying delivery drones.

Computers are once again shifting from a centralized, to a distributed way of working. And edge computing is the key.

In short, edge computing is all about processing data on the spot at the “edge” of the network. It eliminates the need to connect to a faraway data center. For that reason, it’s faster than “cloud computing” can ever be. Studies show it can increase processing speeds by 30X!

I know this is all a bit technical. The key takeaway is that edge computing makes the “impossible” possible. Technologies like self-driving cars, IoT, AR, and the commercialization of 5G will never get off the ground without edge computing.

If this big shift is anything like the last one, fortunes are at stake

There aren’t many publicly traded edge computing stocks, yet. The “purest” one is Fastly (FSLY). Internet titans like Google, Shopify, The New York Times, and email disruptor Slack pay Fastly for access to its “edge servers.”

In short, this allows users to access their websites faster. Fastly has surged 260% since January. Cloudflare (NET) is another leader in edge computing. It’s built servers in over 200 cities around the world. And it’s one of the best-performing US stocks this year:

Both are great ways to profit from edge computing.

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By Stephen McBride

http://www.riskhedge.com

© 2020 Copyright Stephen McBride - All Rights Reserved Disclaimer: The above is a matter of opinion provided for general information purposes only and is not intended as investment advice. Information and analysis above are derived from sources and utilising methods believed to be reliable, but we cannot accept responsibility for any losses you may incur as a result of this analysis. Individuals should consult with their personal financial advisors.


© 2005-2022 http://www.MarketOracle.co.uk - The Market Oracle is a FREE Daily Financial Markets Analysis & Forecasting online publication.


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