🗣️ @thedevelopnik, Senior Product Engineer at Teleport, discusses how Kubernetes has evolved from constant change to stability in its first decade Watch: ku.bz/KGLswKTsh

🗣️ yasmin discusses overprovisioning in Kubernetes clusters where teams blindly set HorizontalPodAutoscaler to 60%, wasting 40% of CPU resources Watch: ku.bz/Bs49B8sYG

The software industry's slow response to supply chain threats is triggering worldwide regulatory changes, says Brian Fox @[email protected], Co-Founder & CTO at Sonatype Watch: ku.bz/hS9sRr3sp

🗣️ Andrei Kvapil compares Argo CD and Flux CD UIs. Argo: intuitive web interface for devs. Flux: declarative, Git-based for CLI-savvy admins Watch: ku.bz/0mvh5s4Ld

🗣️ Nathan Taber, Kubernetes and Container Registries Head of Product at @aws, draws a parallel between Linux's evolution and Kubernetes' future trajectory Watch: ku.bz/CYdKR23Z1

🗣️ Eli Birger, CTO and Co-Founder at PerfectScale by DoiT, discusses two key initiatives: optimizing GPU resource management to address widespread waste in enterprise deployments, and enhancing Karpenter's orchestration capabilities Watch: ku.bz/6GX7MNBtS

🗣️ Rotem Tamir, CTO and Co-Founder at Atlas, discusses how Kubernetes will evolve in the next decade, becoming an invisible implementation detail as developers work with higher-level abstractions Watch: ku.bz/5BXQ0rKPy

🗣️ Katie Lamkin-Fulsher, Staff Product Manager, Platform and Open Source at Intuit, reflects on Kubernetes' evolution after its first decade, highlighting how the ecosystem has expanded with open source tooling while managing growing complexity Watch: ku.bz/tx_vPsFrN

This week on the Learn Kubernetes Weekly: 💣 Failure stories 👩‍🏫 YAML was a mistake ✍️ SLOs and SLIs for ArgoCD 📈 Scaling to the future: Graviton 🔎 Tracing LLMs On Cloud Run ⭐️ Dynatrace Read it now: learnkube.com/issues/141

🗣️ Julia Blase from Chronosphere discusses a data-driven approach to optimize metrics in Kubernetes, achieving 60% reduction in collection costs Watch → ku.bz/X6tgWrG0P

🗣️ Josh Cypher, Senior DevOps Engineer at Sonos, discusses the current limitations of Kubernetes' Vertical Pod Autoscaler (VPA) Watch: ku.bz/LRHc028Dg

Monitoring Kubernetes clusters is resource-intensive, explains Roman Khavronenko Watch: ku.bz/kPXXJfgLg

🗣️ @angelbarrera92, Senior Platform Engineer, elaborates on the initial setup of five to ten large clusters in Germany and the transition to nearly 100 smaller clusters worldwide Watch the full episode: ku.bz/-5QbzQXJg

🗣️ Kim-Norman Sahm, Field CTO at Cast AI, introduces pod-live migration, enabling zero-downtime migrations for legacy monolithic applications in Kubernetes, similar to VM live migration Watch the interview: ku.bz/c_B6wgB6Z Visit CAST AI: ku.bz/4Fcp27Y6k

🗣️ Brian Grant discusses the major overhaul of the Kubernetes API before v1.0. The initial API was a prototype lacking consistency Watch: ku.bz/_ZLj6ZV-9

🗣️ Gabriele Bartolini, VP of Cloud Native at EDB, predicts that Kubernetes will become as standardized as VMs, with running workloads like PostgreSQL becoming a solved problem Watch: ku.bz/xsBRT9m0L

🗣️ Billy Thompson, Head of Global DevOps & Platform Engineering at Akamai Technologies, shares his philosophy on managing Kubernetes complexity through a "strict diet" approach Watch: ku.bz/d-s2179ff