1. A method comprising: extracting (i) user-generated information pertaining to multiple failure scenarios from at least one social media data source and (ii) one or more settings and one or more items of configuration information pertaining to each system associated with one or more of the multiple failure scenarios; determining one or more causality relationships between (i) a set of log entries associated with the multiple failure scenarios and (ii) (a) the extracted user-generated information and (b) the extracted one or more settings and one or more items of configuration information; identifying a similarity between the one or more determined causality relationships and information contained within a user query; and providing guidance to the user regarding resolving and/or obviating one or more failures associated with the user query based on said identified similarity, wherein said guidance comprises (i) multiple alerts associated with multiple failures and (ii) one or more resolutions related to the multiple alerts, (iii) a relevance score associated with each of the one or more resolutions, and wherein said providing further comprises: prioritizing said multiple alerts based on (i) a computed severity of each of the multiple failures based on (a) presence of one or more pre-determined words in the extracted user-generated information and (b) a level of expertise associated with the user that provided the extracted user-generated information, (ii) an expected lead time to failure associated with each of the multiple failures, and (iii) a computed confidence value associated with each of the one or more determined causality relationships; and computing the relevance score associated with each of one or more resolutions via Score relevance (R Di )=M relevance (Reliability Source (R Di ), Sim problem (P Di , P app ), Sim configuration (C Di , C app ), Quality(R Di )), wherein: Reliability Source (R Di ) represents reliability of the source of the respective resolution; Sim problem (P Di , P app ) represents similarity of the one or more failures associated with the user query and the failure addressed by the respective resolution; Sim configuration (C Di , C app ) represents similarity between the configuration of the system associated with the user query and the configuration of one or more systems associated with the respective resolution; and Quality(R Di ) represents a quality value associated with the respective resolution; wherein said extracting, said determining, said identifying and said providing are carried out by at least one server-side computing device.