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Michael Schade Engineering
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At Stripe, we’ve always been intentional about how we communicate, share information, and stay connected. Back when Stripe was smaller, it was easy for this to happen automatically. But by the time we hit around 150 people, it became hard to know everyone’s name. So at a company hackathon, a few Stripes created People, a directory to help Stripes meet and get to really know each other.

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Product

Improved fraud prevention with Radar 2.0

We launched Radar in 2016 to help protect our users from fraud. We’ve blocked billions of dollars in fraud across the Stripe network for companies of all sizes—from startups like Slice and WeSwap to larger companies like Fitbit and OpenTable. Since launch, we’ve continuously invested in our suite of fraud prevention tools, and today, we’re excited to launch the result of those efforts.

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Engineering

Learning to operate Kubernetes reliably

Julia Evans Engineering

We built a distributed cron job scheduling system on top of Kubernetes, an exciting new platform for container orchestration. In this post, we’ll explain why we chose to build on top of Kubernetes, how we integrated Kubernetes into our existing infrastructure, our approach to building confidence in (and improving) our Kubernetes’ cluster’s reliability, and the abstractions we’ve built on top of Kubernetes.

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Product

Stripe Connect now supports Express accounts for businesses

We’ve consistently heard from platforms that onboarding sellers is still one of the hardest challenges they face. Earlier this year, we launched Express accounts for Connect platforms to provide you a quick and easy way to onboard individuals as sellers and service providers while maintaining control over the look and feel of the experience. Express platforms have already onboarded thousands of individuals across industries ranging from childcare to streetwear. Starting today, you can also onboard businesses on your platform with Express.

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Engineering

Supporting Hypothesis

Sam Ritchie Engineering

At Stripe, we regularly contribute to open-source projects and rely on open-source software for developing many different parts of our stack. Stripe supported the development of Hypothesis, an open-source testing library for Python created by David MacIver. Hypothesis provides effective tooling for testing code for machine learning, a domain in which testing and correctness are notoriously difficult.

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Engineering

APIs as infrastructure: future-proofing Stripe with versioning

Brandur Leach API Experience

When it comes to APIs, change isn’t popular. While software developers are used to iterating quickly and often, API developers lose that flexibility as soon as even one user starts consuming their interface. Many of us are familiar with how the Unix operating system evolved. In 1994, <em>The Unix-Haters Handbook</em> was published containing a long list of missives about the software---everything from overly-cryptic command names that were optimized for Teletype machines, to irreversible file deletion, to unintuitive programs with far too many options. Over twenty years later, an overwhelming majority of these complaints are still valid even across the dozens of modern derivatives. Unix had become so widely used that changing its behavior would have challenging implications. For better or worse, it established a contract with its users that defined how Unix interfaces behave.

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