As distributed computer systems and networks continue to grow in size and complexity, systems management tasks such as real-time fault localization and problem diagnosis become significantly more challenging and call for higher levels of automation. RAIL is a Bayesian inference tool that uses active probing for real-time, adaptive problem diagnosis in distributed systems.