Abstract: According to some embodiments, methods and systems may manage a fleet of multi-tenant logical databases in Relational Database Management System (“RDBMS”) servers for a cloud computing environment. The system may include a pool of physical RDBMS servers (e.g., Postgre-Structured Query Language (“SQL”) servers) and a tenant-aware Application Programming Interface (“API”) that is accessed by tenants. A computer processor of a database allocation engine may receive, from the tenant-aware API, a request to provision a logical database including a tenant identifier associated with a requesting tenant. The database allocation may then select an eligible physical RDBMS server in the pool of physical RDBMS servers and allocate a logical database for the requesting tenant via the selected physical RDBMS server (e.g., using the tenant identifier).

Abstract: According to some embodiments, methods and systems may manage a fleet of multi-tenant logical databases in Relational Database Management System (“RDBMS”) servers for a cloud computing environment. The system may include a pool of physical RDBMS servers (e.g., Postgre-Structured Query Language (“SQL”) servers) and a tenant-aware Application Programming Interface (“API”) that is accessed by tenants. A computer processor of a database allocation engine may receive, from the tenant-aware API, a request to provision a logical database including a tenant identifier associated with a requesting tenant. The database allocation may then select an eligible physical RDBMS server in the pool of physical RDBMS servers and allocate a logical database for the requesting tenant via the selected physical RDBMS server (e.g., using the tenant identifier).

Abstract: This technology relates to a method, non-transitory computer readable medium, and influencer analyzing computing device for analyzing content associated with one or more influencers of at least one social network. This technique involves identifying key influencers of at least one social network with respect to a topic of interest. Thereafter, an overall topic cloud and an influencer topic cloud for each key influencer is created and analyzed. The overall topic cloud and an influencer topic cloud are compared to cross-verify if the identification of the key influencers is correct. After that, volume of social interaction of the key influencers with respect to the topic of interest are determined and visualized.

Abstract: A system and method for monitoring and analyzing social network databases to determine actual key influencers is disclosed. Inputs are received from the user, which includes search keyword(s), time, date, language, area and country. Content corresponding to the user inputs is fetched from the social network databases. The fetched content is analyzed to identify a list of probable key influencers. Among the probable key influencers, actual key influencers are determined based on parameters associated with the probable key influencer. Reports may be generated based on the actual key influencers and the content they posted on the social network.

Abstract: This technology relates to a method, non-transitory computer readable medium, and influencer analyzing computing device for analyzing content associated with one or more influencers of at least one social network. This technique involves identifying key influencers of at least one social network with respect to a topic of interest. Thereafter, an overall topic cloud and an influencer topic cloud for each key influencer is created and analyzed. The overall topic cloud and an influencer topic cloud are compared to cross-verify if the identification of the key influencers is correct. After that, volume of social interaction of the key influencers with respect to the topic of interest are determined and visualized.

Abstract: The present invention provides a method and system for assessing usability of a website. The method includes scanning at least a portion of the website to be assessed based on a keyword input by a user, where the keyword specifies a structure of an HTML element. The method further includes validating the scanned results with the set of rules and recommendations corresponding to the usability standard and guideline selected by the user and generating a set of reports. The reports include different statistics of the identified usability failure along with the recommendations to improve the web usability requirements.