Abstract: Execution of computing workloads by a fleet of multiple Kubernetes clusters in a distributed computing environment in managed by determining on which of a plurality of managed clusters to place the workloads, by tracking and matching resource needs of the workloads with cluster resource capacities and availability. Common workloads related to multi-tenancy across subsets of the fleet of clusters can be duplicated, thereby enabling standardization of clusters and prevention of redundant manifests across software repositories. Workloads may be placed according to different policies, including placing them on an ordered set of target clusters and, according to the ordered set, prioritizing the workloads in the ordered set, or on statically, pre-determined clusters. Clusters may also be cloned and, on demand, new clusters may be brought up and idle clusters may be shut down. The start of workloads may also be triggered from a failed cluster to a different functional cluster.

Abstract: Embodiments relate to a computing device retrieving an augmented map comprising a base map, an augmentation to a first map element, and a flag for the augmentation indicating a scope of the augmentation. The computing device receives an updated base map comprising the base map and an update to a second map element. The computing device performs a difference comparison between the augmented map and the updated base map based on the scope indicated by the flag. The computing device determines whether the augmentation and the update conflict based on the difference comparison. The computing device assembles a set of conflicts based on determination.

Abstract: Embodiments relate to a computing device retrieving an augmented map comprising a base map, an augmentation to a first map element, and a flag for the augmentation indicating a scope of the augmentation. The computing device receives an updated base map comprising the base map and an update to a second map element. The computing device performs a difference comparison between the augmented map and the updated base map based on the scope indicated by the flag. The computing device determines whether the augmentation and the update conflict based on the difference comparison. The computing device assembles a set of conflicts based on determination.

Abstract: A method for reducing the scrap rate of fuse structures after laser repairing is provided. The method includes providing a semiconductor wafer comprising integrated circuits, performing a yield test on the semiconductor wafer to determine defective circuits, predetermining a wavelength limit, and keeping the semiconductor wafer away from lights having wavelengths lower than the wavelength limit. The defects on the semiconductors wafer are repaired by burning laser fuses. For copper-based fuse structures, the wavelength limit is about 550 nm.