When AWS announced Lambda MicroVMs, I was genuinely excited. After years of incremental services and endless feature releases, it finally looked like AWS had built something that filled the awkward gap between Lambda and EC2. On paper, it sounded perfect. You get VM-level isolation, more memory, persistent state, and startup times measured in milliseconds, all without managing infrastructure. If you’ve ever wished Lambda had fewer limitations or EC2 required less babysitting, this looked like the answer.

Then I actually built something with it. Needless to say, I felt betrayed, lied to, and taken for a ride. Not a happy camper am I.

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Ok, Spark isn’t dead. Before you leave, I’m sorry for lying to you. Sorta. Kinda. Not really.

Undoubtedly Apache Spark has reached its zenith, shot like a rocket out of the Databricks barrel into the sky. The world is shifting though, even if ever so imperceptible.

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