Apr 3
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Scalable Orchestration using Kubernetes | Complete Lecture for MLOps In this lecture, we explore how Kubernetes enables scalable orchestration of containerized applications in modern cloud-native systems. This session is ideal for students, researchers, and professionals working in MLOps, DevOps, and Distributed Systems. What you will learn in this video: Fundamentals of Kubernetes architecture Pods, Nodes, Clusters, and Deployments Container orchestration for ML pipelines Real-world use cases in scalable systems Kubernetes in MLOps workflows Whether you're building scalable machine learning pipelines or deploying microservices, Kubernetes is a critical tool for managing complexity and ensuring reliability. Who should watch this? BS/MS Computer Science & Data Science students MLOps & DevOps Engineers Researchers in Distributed Computing Anyone learning cloud-native technologies Related Topics: Docker & Containerization Microservices Architecture CI/CD using GitHub Actions MLFlow for Experiment Tracking Monitoring using Prometheus & Grafana If you find this lecture helpful, don’t forget to Like, Share, and Subscribe for more advanced content on MLOps and Cloud Computing! #Kubernetes #MLOps #DevOps #CloudComputing #ContainerOrchestration #MachineLearning #DistributedSystems