AWS Startups Blog

Michelle Kung

Author: Michelle Kung

Michelle Kung currently works in startup content at AWS and was previously the head of content at Index Ventures. Prior to joining the corporate world, Michelle was a reporter and editor at The Wall Street Journal, the founding Business Editor at the Huffington Post, a correspondent for The Boston Globe, a columnist for Publisher’s Weekly and a writer at Entertainment Weekly.

A girl uses Fender Play on her laptop.

Combining DynamoDB and Amazon Elasticsearch with Lambda

Michael Garski, Director of Platform Engineering at Fender Digital, shares why the combination of DynamoDB and AWS Elasticsearch is perfectly suited to Fender Play lesson content.

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Terry Sejnowski on AI

The AI revolution isn’t coming, says Terry Sejnowski. It’s already here.

By now, you have certainly taken part in the deep learning revolution, whether you’re aware of it or not. If you use a voice-based personal assistant like Alexa, chances are advances in AI have already made it into their backend for companies to yield savings from processing efficiency. But sooner or later, deep learning is going to change your life. That, at least, is what Dr. Terry Sejnowski, the Francis Crick professor at the Salk Institute and a pioneer in deep learning, believes. “What we’re creating is a whole new world,” he argues.

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The Smallpdf team at their offices in Zurich, Switzerland.

How to run a world-class website with a DevOps team of two

At last count, Smallpdf, the PDF conversion startup I work for, had roughly 13 million monthly users. As for the number of employees currently running our website? That would be 10—with only two employees focused on the backend and infrastructure. You might be curious to learn how we run such a processing intensive website with such a small DevOps team. Our little secret stands in automation and delegation.

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The coming data hurricane

Data lakes: How planning and a governed data catalog can help you weather a data superstorm

By now, we’ve all seen the statistics. The data universe is doubling in size every two years, which translates into a 50-fold growth from 2010 to 2020. It’s a superstorm of data that isn’t letting up anytime soon. Businesses everywhere are desperately trying to manage the flood of information pouring in from every direction. To manage this extreme data growth, organizations are looking to data lakes like the one provided by AWS to help them control and consolidate the storm of data.

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Seeing past the resume: How Polina Montano built the company revolutionizing the job search

“I’m actually an unusual tech co-founder,” Polina Montano says. And it’s true: while Montano’s isn’t exactly a rags-to-riches story, it is a gas-stations-to-striking-tech-gold story. Coming from a retail background, Montano was a small business owner for most of her life—starting with a fashion store and moving up to a chain of gas stations—before the inspiration for Job Today struck. In fact, Montano says, she started pondering the concept of Job Today in earnest thanks her hands-on gas station experience

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Braze logo

Braze Co-Founder Jon Hyman on How Tech Humanizes Communications Between Brands and Customers

Whether it’s via phones, cars, speakers, or even watches, brands have an ever-increasing number of places to reach consumers. The catch, however, is that consumers are getting savvier—and more demanding—about how brands are engaging with them. “Customers have high expectations… that brands are going to deliver relevant, personalized, and important messages to them that add a lot of value,” says Braze co-founder and chief technology officer Jon Hyman. For the most part, consumers don’t understand—nor care—whether they are getting a discount or new product notice from a brand’s email or app team. “All they care about is: is it delivering a great product experience, is it valuable to me, is it adding value, and is it relevant to me,” he says.

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