Abstract: Techniques for dynamically and automatically equalizing audio content are provided. These techniques include receiving, in portions or as a whole, an instruction file that contains a plurality of instruction lines. Each one of the instruction lines correlates an equalizer setting instruction with a time frame of media content. The techniques further include automatically adjusting, as the media content is played, an equalizer setting of the equalizer according to the equalizer setting instruction that corresponds to the time frame of the media content being played at that time. Audio content is equalized in accordance with the equalizer setting, which is automatically adjusted as the media content is played according to the instruction file.

Abstract: An embodiment performs, by an attribute value substitution engine, key-value extraction on infrastructure as code. The embodiment assigns, by the attribute value substitution engine, an attribute in a plurality of attributes to a value in the extracted key-value. The embodiment computes, by the attribute value substitution engine, a plurality of similarities between the plurality of attributes and a cloud resource. The embodiment groups, based on the plurality of similarities, the plurality of attributes into a group of attributes. The embodiment substitutes, by the attribute value substitution engine, the attribute with another attribute, the attribute and the another attribute belonging to the group of attributes.

Abstract: A processor may receive information associated with resources and edges from Infrastructure as Code (IaC). The processor may assemble a knowledge graph. The knowledge graph may be a controlling root graph for infrastructure code that contains the resources and edges from the IaC. The processor may determine, based on global usage statistics of the resources, probabilities of going from one resource to another resource. Going from one resource to another resource may be an edge. The processor may generate a recommendation for a next response.