🗣️ @adnanrahic discusses effective team organization. In this interview, he focuses on platform teams, specialization benefits, and a clear structure for efficiency. Watch:

This interview is brought to you with support from @StormForgeIO — automate Kubernetes rightsizing with machine learning. Smarter limits, less waste, better performance.

🗣️ Saptarshi Banerjee, Senior Solutions Architect at AWS, shares three Kubernetes tools: Kueue for AI/ML job queuing, Kyverno for policy management, and vCluster for virtual clusters. Watch the full interview:

RT @learnk8s: This week on the Learn Kubernetes Weekly:. 📕 Kubernetes networking guide.♻️ Migrating to ArgoCD with Zero Downtime.👍 Yoke.🆙 U….

This interview is brought to you with support from Kubex by @Densify - automated Kubernetes optimization that cuts costs and improves performance.

🗣️ Graziano Casto, DevRel Engineer @ Mia-Platform, shares three Kubernetes tools: KubeGreen for reducing cloud costs, KRO for creating reusable APIs, and K8sGPT for AI-powered diagnostics. Watch the full interview:

@boredabdel @null This interview is brought to you with support from @fairwindsops — expert-led, fully managed Kubernetes that frees your engineers from infrastructure headaches and puts you on the fast track to production-grade success

🗣️ @boredabdel, Senior Cloud Developer Advocate at @null, shares three emerging Kubernetes tools: Kueue for job queueing, Multicluster Orchestrator (MCO) for cross-cluster capacity, and Gateway API Inference Extension for AI workloads. Watch:

@bdougieYO This interview is brought to you with support from @fairwindsops — expert-led, fully managed Kubernetes that frees your engineers from infrastructure headaches and puts you on the fast track to production-grade success

🗣️ @bdougieyo shares three emerging Kubernetes tools: NVIDIA's KAI (GPU autoscaler), Headlamp (GUI interface), and Ollama (for scaling local AI models). Watch the full interview:

This interview is brought to you with support from Kubex by [Densify][company1] - automated Kubernetes optimization that cuts costs and improves performance.

🗣️ Andrew Hillier explains why teams struggle with resource management when transitioning from VMs to Kubernetes. He addresses a critical misconception about overcommit that leads to expensive, low-utilization clusters. Watch the full interview:

🗣️ @onigoetz discusses running Jenkins on Kubernetes at scale. The SRE team proposed using KubeVirt for container virtualization and Ceph for distributed storage. They also devised a solution to pre-populate Docker images to expedite builds. Watch:

@SudermanJr @fairwindsops This interview is brought to you with support from @fairwindsops — expert-led, fully managed Kubernetes that frees your engineers from infrastructure headaches and puts you on the fast track to production-grade success

🗣️ @SudermanJr, CTO at @fairwindsops, discusses three key areas in Kubernetes: mutating admission policy, dynamic resource allocation, and AI tools like K-Gateway and Ray. Watch the full interview:

🗣️ @morey_tech, Senior Developer Advocate at @akuityio, emphasized the importance of understanding redundant power, network, and storage to ensure hardware reliability before deploying Kubernetes. Watch the full interview:

This episode is sponsored by @learnk8s - get started on your Kubernetes journey through comprehensive online, in-person or remote training

🗣️ Miguel Luna discusses the nuances of logging and observability. He emphasizes that while logging can effectively identify root causes through detailed context; the real challenge lies in correlating signals in complex systems. Full episode:

🗣️ @PeterZaitsev discusses three emerging Kubernetes tools: Percona Everest (a GUI for databases), Coroot (easy observability), and Victoria Metrics (an efficient Prometheus replacement). Watch:

🗣️ @YakirKad and Assaf Morag from @AquaSecTeam highlight how even sectors known for their security, such as finance and insurance, are facing the challenge of leaked secrets. Watch the full episode: