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The talk explains how Godel Scheduler raises Kubernetes scheduling throughput through algorithm and data structure changes, sharded concurrency, and batch scheduling.
Explore how to build an AI cloud on bare metal that raises infrastructure efficiency through shared GPUs, smarter scheduling, and resource isolation.
See how Karmada and Istio coordinate replica placement and traffic failover to preserve application capacity across clusters during failures.
ChillyRoom’s session-based game servers use Kubernetes and OpenKruiseGame for automatic networking, elastic scaling, matchmaking, and room-state management.
A five-year account of TACC, which brings Kubernetes and Slurm together to manage AI and HPC clusters at HKUST.
Explores how JuiceFS CSI’s mount pod and sidecar designs support storage for LLM pre-training across thousands of Kubernetes nodes.
A look at WebAssembly as a lightweight, portable option for server workloads, including its integration with container tools and potential role in LLM applications.
A Harbor case study shows how custom WebAssembly programs can extend registry behavior at event hooks without modifying Harbor’s code.
A functionalized scheduling framework scales serverless large-model inference while RDMA speeds KV-cache migration.
See how OpenKruise extends Kubernetes StatefulSets with live resizing, progressive configuration updates, and operation channels for enterprise stateful applications.
A live LitmusChaos demonstration shows how chaos orchestration, analysis, and Backstage plugins can help strengthen cloud-native application resilience.
An update on containerd 2.0’s new features, upgrade requirements, and support for new Kubernetes releases.
Karmada's multi-cloud container orchestration and PipeCD's continuous delivery are presented as complementary ways to manage applications across cloud environments.
A strategic roadmap for cloud-native technology companies entering the complex US healthcare market.
A 100,000-instance Redis migration to Kubernetes doubled resource utilization while balancing deployment density with service stability.
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