The #1 MISTAKE You're Making with Cloud-Native GenAI Workloads - FIX IT NOW скачать в хорошем качестве

The #1 MISTAKE You're Making with Cloud-Native GenAI Workloads - FIX IT NOW

Are you making the #1 mistake with cloud-native GenAI workloads? Find out how to fix it now with tips on KEDA, Kubernetes, and more in this video! #DevOps #SRE #EventDrivenArchitecture #ModernWorkloadsIf you're building Kubernetes-native systems, scaling event-driven architectures, or running GenAI and agentic AI workloads in production — this masterclass is designed for you. In this deep-dive session, we explore how modern cloud computing platforms leverage Kubernetes for autoscaling, reactive microservices, and real-time distributed systems. You’ll learn how to design scalable architectures using event triggers, implement production-grade autoscaling strategies, and align with DevOps, SRE, and platform engineering best practices. Whether you're a: DevOps Engineer SRE Platform Engineer Cloud Architect Kubernetes Administrator AI/ML Engineer deploying GenAI workloads Or preparing for advanced Kubernetes certifications This session will help you understand how to operate high-scale, event-driven Kubernetes environments in 2026. 🔎 What You’ll Learn Kubernetes-native event-driven autoscaling Designing resilient cloud-native architectures Scaling microservices with real-world production patterns Running GenAI and agentic AI workloads efficiently Observability and reliability for SRE-driven systems Cost-optimized scaling strategies for cloud platforms Production-ready platform engineering principles ⏱️ Timestamps (Uniform Topic Coverage) 00:00 – Introduction to Kubernetes Event-Driven Architectures 09:00 – Why Traditional Autoscaling Fails in Modern Cloud Workloads 18:00 – Deep Dive into Event Sources & Triggers in Kubernetes 27:00 – Designing Reactive Microservices for Cloud-Native Systems 36:00 – Scaling Strategies for GenAI & Agentic AI Workloads 45:00 – Integrating Event Streaming with Kubernetes 54:00 – Observability, Metrics & SRE Reliability Patterns 01:03:00 – Platform Engineering & Production Deployment Models 01:12:00 – Cost Optimization & Efficient Resource Utilization 01:21:00 – Real-World Architecture Patterns & Final Takeaways 🌍 Why This Matters in 2026 With the rise of: AI-native infrastructure Agentic AI workloads Real-time data pipelines Distributed cloud platforms Event-driven Kubernetes architectures are becoming the backbone of modern cloud systems. If you want to build scalable, resilient, and cost-efficient infrastructure for AI-powered applications, this masterclass will give you practical, production-focused insights.