Episode 79 of Cloud Computing with Fexingo dives into a quiet but seismic shift in cloud pricing: providers are moving from per-second billing to per-microsecond billing for compute instances. Lucas and Luna unpack how this started with ephemeral GPU workloads on AWS and Google Cloud, why it's spreading to general-purpose instances, and what it means for latency-sensitive applications like algorithmic trading and real-time ad bidding. They cite specific examples: AWS's Lambda pricing dropping to the microsecond level for ARM-based functions, and Azure's new 'burst micro-instances' that bill in hundred-microsecond increments. The episode also explores the hidden cost—monitoring overhead at microsecond granularity can eat into savings if you're not architected correctly. Concrete advice for DevOps teams on when to chase microsecond billing and when to stay on per-second plans.

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