In this episode of Tech Leadership with Fexingo, Lucas and Luna dive into a real-world case study of how a mid-sized SaaS team reduced their AWS bill by 40% over six months — without sacrificing latency or developer velocity. They unpack the specific tactics that worked: from right-sizing instances and committing to reserved capacity, to implementing a 'cost per feature' tracking process that made engineers think twice before provisioning resources. Lucas explains why most cost-cutting advice fails because it treats cloud spend as a finance problem instead of an engineering culture problem. Luna brings data on how the team used a simple tagging policy linked to their OKRs to create accountability. They also discuss the trade-offs of using spot instances for production workloads and why one engineer's script to auto-shutdown staging environments on weekends became the team's highest-ROI project. By the end, you'll have a concrete framework for starting your own cloud cost optimization initiative — one that doesn't slow down your teams or require a dedicated FinOps hire. Ideal for CTOs, engineering managers, and senior engineers who want to align cloud spend with business value.

#CloudCosts #FinOps #AWSCosts #EngineeringManagement #TechLeadership #CostOptimization #SaaS #DeveloperProductivity #ReservedInstances #SpotInstances #RightSizing #TaggingPolicy #OKRs #DevOps #CloudInfrastructure #TechPodcast #FexingoBusiness #BusinessPodcast

Keep every episode free: buymeacoffee.com/fexingo