AI-Powered Predictive Autoscaling for Kubernetes with Jennifer Rahmani

In this episode of the TestGuild DevOps Toolchain Podcast, host Joe Colantonio sits down with Jennifer Rahmani, Co-founder and COO of Thoras.ai, a company redefining how infrastructure scales with AI-driven predictive technology. Drawing from her years as a DevOps engineer in the defense tech sector, Jennifer shares how she and her twin sister turned real-world frustrations into a reliability-first platform that eliminates the guesswork from scaling.

We discuss how Thoras.ai integrates with Kubernetes to predict workload demand minutes—or even hours—in advance, allowing teams to maintain high availability without overspending. Jennifer explains why they use the right AI for the right use case, how their predictive autoscaling works in multi-cloud and hybrid environments, and how it helps SREs avoid downtime during unpredictable events like Black Friday or major product launches. Whether you’re dealing with noisy data, high cloud bills, or sleepless nights worrying about reliability, this episode delivers practical insights for making smarter scaling decisions.