Lucas and Luna dig into one of the most underappreciated drivers of cloud cost overruns: data egress fees. Using a real example from a mid-size SaaS company that saw its monthly AWS bill jump from $12,000 to $47,000 after a single architecture change, they explain how egress pricing works across AWS, Azure, and GCP, why it's so easy to overlook, and what engineering teams can do to avoid the trap. Lucas walks through specific numbers — like the $0.09 per gigabyte AWS charges to move data out of its network versus $0.00 to move it between services inside the same region — and Luna pushes back on whether the pricing is intentionally opaque. They also touch on recent regulatory pressure in Europe and what it might mean for future cloud billing. No filler, just a focused look at a hidden cost that can demolish a startup's margin.

#CloudComputing #AWS #Azure #GCP #DataEgress #CloudCosts #FinOps #Technology #FexingoBusiness #BusinessPodcast #SaaS #CloudInfrastructure #StartupFinance #EngineeringTeams #CloudMigration #Bandwidth #CostOptimization #RegulatoryPressure

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In the premiere episode of Cloud Computing with Fexingo, Lucas and Luna drill into one specific number: the list price of a single AWS EC2 instance type, the m5.xlarge, which has sat at $0.192 per hour unchanged for years. They trace how that apparent stability masks a labyrinth of reserved instances, spot markets, and savings plans that can swing costs by 60 percent or more. Using a real-world startup case — a fintech that cut its AWS bill by 35 percent without migrating — they unpack the economics of cloud elasticity, the lock-in dynamics of committed-use discounts, and why most cloud bills go unread. This episode sets the tone for the show: one concrete metric, one sharp case, and the infrastructure decisions that actually move the needle.

#AWS #EC2 #CloudComputing #CloudCost #FinOps #Infrastructure #Startup #Fintech #ReservedInstances #SpotInstances #Pricing #Technology #Podcast #FexingoBusiness #BusinessPodcast #CloudEconomics #LucasAndLuna #Episode1

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