Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives data from a set of data sources. Based on the data, the program further generates a time series data set that includes a plurality of data points. The program also determines a set of subsets of data points from the time series data set. The program further groups the set of subsets of data points into a set of clusters. The program also provides the set of clusters as input to a machine learning model to cause the machine learning model to determine a probability of an occurrence of an event based on the set of clusters.

Abstract: The subject matter disclosed herein provides methods and apparatus, including computer program products, for providing software updates. In one aspect there is provided a method. The method may include copying an application to a shadow system, the application used to upgrade the shadow system rather than a production system; copying data from the production system to the shadow system; selecting whether to lock changes to data in the production system or record changes to the data in the production system; recording one or more changes to data in the production system, the changes recorded in a container, when record changes has been selected; migrating recorded data in the container to the shadow system, so that the shadow system and production system are in a similar data state; and using the shadow system, upgraded with the application and at least one of data copied from the production system and recorded data from the container, for production rather than the production system.

Abstract: The subject matter disclosed herein provides methods and apparatus, including computer program products, for providing software updates. In one aspect there is provided a method. The method may include copying an application to a shadow system, the application used to upgrade the shadow system rather than a production system; copying data from the production system to the shadow system; selecting whether to lock changes to data in the production system or record changes to the data in the production system; recording one or more changes to data in the production system, the changes recorded in a container, when record changes has been selected; migrating recorded data in the container to the shadow system, so that the shadow system and production system are in a similar data state; and using the shadow system, upgraded with the application and at least one of data copied from the production system and recorded data from the container, for production rather than the production system.