Presentation: Crisis to Calm: Story of Data Validation @ Netflix
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Abstract
The best outage is the one that never happens! Runtime system behavior is increasingly driven by data flowing from various data sources. Each update is as impactful as code pushes, if not more, increasing the risk of outages. This makes a strong case for automated detection of bad data, similar to what we already do for code pushes. To that end, we invested in detecting and preventing bad data in real time with techniques like circuit breakers and data canaries.
In this presentation, I will talk about the journey from having no data validations to our current set of techniques that are an essential part of availability at Netflix. I will share my experience in maintaining a great Netflix customer experience while enabling fast and safe data propagation.
Key takeaways:
- Detecting and preventing bad data is essential to high availability.
- Ways to make circuit breakers, data canaries and staggered rollout effective.
- Efficient validations via sharding data and isolating change.
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