AWS Startups Blog

How GIPHY engineers the perfect delivery of a GIF

Every day here at GIPHY, we have GIFs on GIFs on GIFs uploaded to our platform. In fact, we serve over three billion GIFs a day (that’s a lot of dancing cats!) to over 300 million daily active users. Every upload, however, brings new information and an increasingly large amount of data—this can become a lot to manage. Using database services like MySQL and DynamoDB, we’re able to organize this heavy amount of data in a high-performing way.

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How to get started on AWS (From a dead standstill)

Want to build a database-backed website, or the backend to a mobile app? Set up a WordPress or Drupal site, or just use an Amazon S3 bucket to store files? You can do all this and much more on AWS, but first you’ll need to create an account and set it up. Let’s walk through how to do that from scratch—while following best practices and making sure your account is securely configured to take full advantage of all that AWS offers.

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The Robocar Rally track at AWS re:Invent 2017.

Baby, You Can Drive Your Own Car: A Look at How Deep Learning Powered AWS’s Robocar Rally

What’s more fun than an all-night hackathon in Vegas? Why, a Vegas hackathon involving self-driving cars, of course. During AWS’s 2017 re:Invent conference, 25 teams were given kits to build an autonomous car that could learn how to drive around a track on its own. In this video, we explain what deep learning has to do with autonomous driving and how even a light-hearted Robocar Rally can have deeper implications for learning and the cloud.

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DataDome's Bot Fighters

DataDome duo Benjamin Fabre and Benjamin Barrier on bot detection, risk mitigation, and being three-time entrepreneurs

When people talk about “serial entrepreneurs,” they are talking about folks like Benjamin Fabre and Benjamin Barrier. Longtime friends and colleagues, Fabre and Barrier are currently working on their third startup together and choose as their focus: robots.

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A screenshot of the Visipedia Bird app.

Caltech’s Pietro Perona on how deep learning can help you classify birds and trees

Imagine, for a moment, that you discover an irregular mole on yourself. Whereas nowadays you still need to take time to schedule a dermatological appointment and then wait weeks to get your test results, Caltech Professor Pietro Perona is eagerly awaiting the day when you can snap a picture of the mole with your smartphone and then learn instantaneously if it’s dangerous or not. And he should know. As the co-creator, with Cornell Tech Professor Serge Belongie, of the AI and machine learning-based visual classification system Visipedia, Perona has spent the past seven years working on a “switchboard” that lets anyone, everywhere ask questions and immediately obtain an answer.

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AWS Startups on Air 2017 Map

Top AWS Startups of 2017: A Year in Review

It’s been another exciting year for startups! Since the start of 2017, we’ve featured 33 startups headquartered all over the world. The startups we highlighted are developing innovative products and solutions across a range of industries, including artificial intelligence, machine learning, fintech, healthcare, education, and more.

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