Abstract: Systems and methods for upgrading container images within orchestration systems. In various embodiments, a request to run a custom container image can be received. Subsequently, a determination can be made as to whether the current version of the requested custom container image is built upon a most recent version of a corresponding base container image. Where it is determined that the current version of the requested custom container image is not built upon the most recent version of the corresponding base container image, an upgraded version of the custom container image can be generated. Advantageously, a non-privileged user requesting a custom container image can, leveraging the private access token and/or administrative privileges of the system, be able to upgrade the requested custom container image. Custom container images can be automatically upgraded, and relied upon to be up-to-date when used, without burdening the user.

Abstract: A method for clustering data using pairwise constraints that includes receiving a set of data for clustering, the set of data includes a plurality of data units; identifying soft pairwise constraints, each indicating a relationship between two of the plurality of data units in the set of data and having an associated confidence level indicating a probability that each pairwise constraint is present; and clustering the plurality of data units in the set of data into a plurality of data partitions based at least on a chunklet modeling technique that employs the soft pairwise constraints.