数据金丝雀：Netflix 如何验证目录元数据
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Netflix TechBlog
Netflix TechBlog
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Learn about Netflix’s world class engineering efforts, company culture, product developments and more.
了解 Netflix 世界一流的工程实践、企业文化、产品开发及更多内容。
At Netflix, our catalog metadata is crucial to our member experience, and a single corrupted data state can impact millions of viewers immediately. To protect streaming reliability, we built an automated data canary system that validates data transformations using production traffic. This canary detects issues in under 10 minutes, and blocks bad data from reaching our members.
在 Netflix，我们的目录元数据对会员体验至关重要，单一的数据状态损坏会立即影响数百万观众。为了保护流媒体可靠性，我们构建了一个自动化的数据金丝雀系统，利用生产流量验证数据转换。该金丝雀系统能在 10 分钟内发现问题，并阻止不良数据触达我们的会员。
Intro
简介
Catalog metadata is what makes Netflix functional. It defines what titles exist, where they’re available, whether they can be played, and more. This data gets transformed and distributed across our vast infrastructure near-continuously, powering everything that helps members find what they want to watch. Accurate catalog data delivers moments of joy. Corrupted catalog data breaks streaming.
目录元数据是 Netflix 正常运行的基础。它定义了存在哪些片名、它们在哪里可用、是否可以播放等等。这些数据几乎持续不断地被转换并分发到我们庞大的基础设施中，为帮助会员找到想观看的内容的所有功能提供动力。准确的目录数据带来欢乐时刻。损坏的目录数据则会中断流媒体播放。
What Went Wrong
出了什么问题
A production incident revealed a critical gap in our resilience strategy. No code had been deployed. No configuration had changed. But, a manual mitigation action taken during a previous incident had inadvertentl...