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This conference talk explores LinkedIn's journey in designing a Kubernetes-based fleet management stack that bridges bare-metal servers with a platform hosting thousands of microservices, stateful applications, and GPU-powered AI workloads. Discover how LinkedIn utilizes Kubernetes as a foundational primitive in their compute platform to run thousands of microservices, manage large stateful applications with custom scheduling, and maintain a GPU fleet—all while performing regular maintenance on bare metal hosts without downtime or manual intervention. Learn about the architecture behind their API-driven, Kubernetes-based compute stack that supports a large-scale microservices platform, workload-agnostic stateful scheduler, and multi-tenant ML/batch jobs platform. Gain valuable insights on scaling Kubernetes for diverse workloads while maintaining tenant isolation, resilience, flexibility, and developer-friendly interfaces.
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