Heroesofprod

“It’s not about who’s on-call; that’s the obvious piece people gravitate towards. It’s about how you inject reliability from the outset, to avoid having the issue in the first place.”

Duncan Winn

“Everyone expects things to just work, no questions asked. But when something breaks, that’s when we’re noticed.” Rita keeps Blueground’s platform running whether it be from the corner of a restaurant or from bed at 3:00 AM.

Rita ChiouBlueground

“If you’re standing outside a stadium using Gametime to buy a last-minute ticket and the purchase fails, you’re not thinking about a data pipeline.” Sean keeps Gametime’s ticket ingestion running, and is paving the road for agents.

Sean SkiverGametime

When a spike in database load took down production, Emilios stabilized the system, then kept going: cleaning up the queries behind it, strengthening the database infrastructure, and redesigning the alert pipeline to protect critical workflows from inefficient queries.

Emilios NicolaouResolveAI

"If your name isn't being mentioned, that's usually a good thing." That's the motto we live by as Red Flag Engineers at Toast, where more than 180,000 restaurant locations run on our POS and roughly $240 billion in payments flows through it every year.

Pedro SardelaToast

“It’s not about who’s on-call; that’s the obvious piece people gravitate towards. It’s about how you inject reliability from the outset, to avoid having the issue in the first place.”

Duncan Winn

“Everyone expects things to just work, no questions asked. But when something breaks, that’s when we’re noticed.” Rita keeps Blueground’s platform running whether it be from the corner of a restaurant or from bed at 3:00 AM.

Rita ChiouBlueground

“If you’re standing outside a stadium using Gametime to buy a last-minute ticket and the purchase fails, you’re not thinking about a data pipeline.” Sean keeps Gametime’s ticket ingestion running, and is paving the road for agents.

Sean SkiverGametime

When a spike in database load took down production, Emilios stabilized the system, then kept going: cleaning up the queries behind it, strengthening the database infrastructure, and redesigning the alert pipeline to protect critical workflows from inefficient queries.

Emilios NicolaouResolveAI