Abstract: In accordance with some aspects of the present disclosure, an apparatus is disclosed. In some embodiments, the apparatus includes a processor and a memory. In some embodiments, the memory includes programmed instructions that, when executed by the processor, cause the apparatus to receive a request from a client; determine family of metrics; schedule the request based on the family of metrics; and in response to satisfying one or more scheduling criteria, send the request to a backend server.

Abstract: In accordance with some aspects of the present disclosure, an apparatus is disclosed. In some embodiments, the apparatus includes a processor and a memory. In some embodiments, the memory includes programmed instructions that, when executed by the processor, cause the apparatus to receive a request from a client; determine family of metrics; schedule the request based on the family of metrics; and in response to satisfying one or more scheduling criteria, send the request to a backend server.

Abstract: In accordance with some aspects of the present disclosure, an apparatus is disclosed. In some embodiments, the apparatus includes a processor and a memory. In some embodiments, the memory includes programmed instructions that, when executed by the processor, cause the apparatus to receive, from a backend, content represented as unstructured data, parse the content into content groups, wherein each content group has common characteristics, map each content group to a defined field based on the common characteristics of the content group, generate structured data in which each content group complies with constraints of the corresponding defined field, and send the structured data to a frontend to be displayed on a website.

Abstract: In accordance with some aspects of the present disclosure, an apparatus is disclosed. In some embodiments, the apparatus includes a processor and a memory. In some embodiments, the memory includes programmed instructions that, when executed by the processor, cause the apparatus to receive a request from a client; determine family of metrics; schedule the request based on the family of metrics; and in response to satisfying one or more scheduling criteria, send the request to a backend server.

Abstract: A system and method are provided for generating metadata relating to an enterprise management system including at least one data source having one or more of tables and columns. Constraints existing on at least one of the tables and columns in the data source are inferred based on data in the tables and columns. Metadata that includes information on the inferred constraints is generated.