# Predictive Autoscaling
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Top podcast episodes featuring predictive autoscaling.
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 secto…
Carbon Aware Computing with Kendal Smith and Chris Talbott
This week on the podcast, Stephanie Wong and Alexandrina Garcia-Verdin are diving into an important topic for our global community: sustainability and carbon aware computing. Kendal Smith, program manager for Carbon Intelligent Computing, and Chris Talbott, leader of the sustainability product mark…
Jaeger, with Yuri Shkuro
Jaeger is a distributed tracing platform built at Uber, and open-sourced in 2016. It traces its evolution from a Google paper on distributed tracing, the OpenZipkin project, and the OpenTracing libraries. Yuri Shkuro, creator of Jaeger and author of Mastering Distributed Tracing, joins Craig and Ad…
Predictive Autoscaling for Node.js: Why Reactive Systems Are Costing You More Than You Think
Many teams believe autoscaling is simple: set a CPU threshold and let Kubernetes handle it. But if you get a three-minute traffic spike and your pods need two minutes to start, users feel the lag, the spike ends, and your new pods show up too late. What if your infrastructure could predict traffic …
125: JEDI is Dead, and the Cloud Pod Launches Bottlerockets in Celebration
On The Cloud Pod this week, Ryan was busy buying stuff on Amazon Prime Day and didn’t want to talk about JEDI, so he arrived late to the recording. Also, long-time sponsor of The Cloud Pod, Foghorn Consulting, has been acquired by Evoque, so the team grilled Peter for the juicy details. …
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