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Learn how TUF securely distributes software artifacts and their growing metadata, and how teams bootstrap and manage repositories from CI.
See how KubeEdge extends Kubernetes to manage edge workloads, from its architecture to deployments in smart cities, industrial IoT, and retail.
Learn techniques for narrowing a service mesh’s configuration surface with Kubernetes admission controllers, feature flags, API abstractions, and GitOps tools.
Understand Kubernetes components by deliberately breaking a cluster and observing what stops working.
A case study of migrating Knative’s control plane and controllers to Kubernetes Server-Side Apply, including the problems addressed and performance gains.
A panel traces platforms from operating systems to cloud native computing and shares approaches for building and maturing cloud native platforms.
Learn how instrumentation, user-focused measures, and SLOs can reveal whether a non-deterministic LLM feature works and whether prompt changes improve it.
See how administrators can set non-overridable, cluster-wide network guardrails in Kubernetes before namespaces and workloads are created.
A postmortem traces how Kubernetes node losses cascaded across hundreds of clusters during a global outage and the difficult recovery that followed.
See how Eraser lets developers control when vulnerable images are removed from Kubernetes nodes, including through custom removal logic.
A project update and contributor-oriented tour of Cloud Custodian, including c7n-left policy enforcement during deployment planning.
A look at Kubernetes SIG Storage projects and their work on container storage availability, capacity management, scheduling, and storage operations.
Use eBPF and Falco to build hard-to-bypass kernel signals, then apply behavioral analytics to detect deviations from past activity.
A multi-cluster orchestrator automates failure detection and database workload redeployment across regions, while synchronized replication recreates replicas to maintain availability.
How virtual Kubelets and distributed cloud can help address GPU shortages for GPU-based applications.
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