How Airbnb Safeguards Changes in Production

How Airbnb Safeguards Changes in Production

摘要

As Airbnb has grown to a company with over 1,200 developers, the number of platforms and channels for pushing changes to our product — and the number of daily changes we push into production — has also grown tremendously. In the face of this growth, we constantly need to scale our ability to detect errors before they reach production. However, errors inevitably slip past pre-production validation, so we also invest heavily in mechanisms to detect errors quickly when they do make it to production. In this blog post we will cover the motivations and foundations for a system for safeguarding changes in production, which we call Safe Deploys. Two following posts will cover the technical architecture in detail for how we applied this to traditional A/B tests, and code deploys respectively.