Patrick Collison on Stripe’s Early Choices, Smalltalk, and What Comes After Coding
Patrick Collison reveals how Stripe's earliest technical decisions—using MongoDB and Ruby 15 years ago—continue to define the company's architecture today, despite requiring massive infrastructure investments to achieve 99.99986% uptime. He details the painful but necessary journey of rebuilding core APIs and rewriting performance-critical services, offering rare insight into how foundational tech choices compound over time at scale.
Key takeaways
- •Early technology choices become deeply embedded and expensive to change—Stripe still runs on MongoDB and Ruby from 2009 despite their limitations.
- •Performance bottlenecks eventually force architectural changes—Stripe had to rewrite key services from Ruby to Java as they scaled.
- •API design mistakes compound over time—Stripe spent years rebuilding their core APIs after realizing fundamental flaws in their original v1 design.
- •Extreme reliability requires massive infrastructure investment—achieving 99.99986% uptime meant building extensive fault tolerance around MongoDB.
- •Platform evolution requires breaking changes—Stripe's 2022 v2 API redesign represented 12 years of accumulated learnings about their core abstractions.
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Best moment
Stripe achieved 99.99986% API uptime with MongoDB and Ruby as core tech
And the converse is also true. So, you know, initially, we decided to use MongoDB at Stripe and we decided to use Ruby at Stripe. And those are still quite foundational technologies, at Stripe. And, you know, we had to build a lot of, you know, infrastructure in order to make, MongoDB as fault tolerant and as distributed and as Mhmm. Durable and as reliable and everything as we needed it to be and as it now is. Like we had, Stripe's critical API availability last year was 99.99986%,
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