Abstract: A method of workload management in a Kubernetes (K8s) environment may include obtaining, by a digital twin (DT) representing a cluster state, performance data of at least one K8s cluster, generating, by the DT, a behavioral model based on the performance data, determining, by a horizontal pod autoscaler (HPA) controller, a HPA configuration based on the behavioral model and implementing, by an HPA of the at least one K8s cluster, the determined HPA configuration

Abstract: Ceiling and wall panel clip assemblies are characterized by wall and ceiling panel clips having extending fingers that engage companion U-shaped spring-steel panel clips attached to various panels for securing the panels to a framework or grid on the wall or ceiling of a structure. The ceiling panel clip includes a main tee characterized by a main tee leg, typically fitted with a top cross member and a bottom cross member and extending downwardly to a finger mount that mounts the three fingers which engage the corresponding panel clips in a friction-fit. In one embodiment the ceiling panel clips accommodate a support clip fitted over the top of the main tee at the top cross member and having a flange and a downwardly-extending leg attached to a lanyard secured to a decorative ceiling panel, for safety purposes. The wall panel clips include a finger mount flange for supporting the three outwardly-extending panel fingers that engage the companion panel clips attached to selected wall panels.