Move fast and (don’t) break things

Official Schedule Context

Engineers want to move fast with AI, but the infrastructure underneath is buckling. Status pages

across the industry make this clear. Here, you'll learn how to build systems that maintain 4-nines

of availability while meeting unprecedented customer demand using the principles of extreme fault

tolerance. PlanetScale has written about how we apply these principles to operating databases

across our fleet (https://planetscale.com/blog/the-principles-of-extreme-fault-tolerance). This

matters not just for databases, but all aspects of reliable infrastructure. Isolation,

redundancy, static stability, and back-pressure are the building-blocks to achieving this. Sticking

to such principles when architecting the backend of AI applications ensures our systems are

resilient to failure while still being flexible enough to scale. We'll look at concrete failure

modes from production systems and the patterns that prevent them.

No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.

Pending transcript synthesis when an official recording or confirmed matching video is available.