In high-energy physics experiments the online selection is crucial to reject the overwhelming uninteresting collisions. The ATLAS experiment includes b-jet selections in its trigger system, in order to select final states with significant heavy-flavor content. Dedicated selections are developed to timely identifing fully hadronic final states containing b-jets and maintaining affordable trigger rates. ATLAS successfully operated b-jet trigger selections during both 2011 and 2012 Large Hadron Collider data-taking campaigns. Work is on-going now to improve the performance of online tagging algorithms to be deployed in Run 2 in 2015. An overview of the Run 1 ATLAS b-jet.trigger strategy along with future prospects is presented in this paper. Data-driven techniques to extract the online b-tagging performance, a key ingredient for all analyses relying on such triggers, are also discussed and preliminary results presented.