What Is A Data Backup Worth?

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The eternal gap between theoretical architecture and actual production traffic! 😂 When someone asks if your system can handle a million concurrent users, but your current load is just TEN people, what do you do? Tell the truth and look incompetent or confidently lie and pray you'll never have to prove it? This is basically every startup pitch deck vs. actual server metrics. "Oh yeah, our architecture is totally cloud-native, horizontally scalable to infinity!" Meanwhile, the poor Node.js server is running on a t2.micro instance that crashes when three people use the search function simultaneously. The best part? When the miracle happens and you actually get that traffic spike, you'll be frantically Googling "how to optimize database queries at 3am" while telling management "it's just a minor scaling issue!"

Behold, the official uniform of LinkedIn influencers who think "data scientist" is a personality trait. Nothing says "I'm professionally insufferable" quite like broadcasting your childhood dreams of transforming unstructured data into actionable business insights. Because normal kids were dreaming about dinosaurs and spaceships while you were apparently fantasizing about pivot tables and KPIs. The only thing this cap is missing is "passionate about synergizing cross-functional deliverables" and a random Python snippet tattooed on the brim.

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