The content analysis of microblogs has increasingly become a focus for academic research. By microblog mining, microblogs provide either first-person observations or bring relevant knowledge from external sources in emergency situations such as Wenchuan earthquake in China. We introduce the architecture for microblog mining based on cloud computing and present Mesos which shares microblogging resources in a fine-grained manner and an improved Apriori algorithm about association rules mining. The proposed design and implementation provide valuable reference for the implementation of microblogging cloud storage system and microblog mining.