Software availability is the main concern of distributed systems regardless of design and framework. Faults are
inevitable to any system and system should continue to function even in presence of these faults. Fault tolerance (FT) techniques
should make the system fault tolerant by detecting and handling these faults. This paper introduces the technique of proactively
anticipating the possible fault and then avoiding that fault by application migration. The possible fault is predicted through
sudden or unusual utilization of CPU, RAM, fan speed or CPU temperature. Whenever CPU, RAM, fan speed or temperature
breaches the permissible limits of any machine or an alert is generated based on historical data analysis; system takes the
necessary steps to redistribute the application load based on software or hardware analytics. The proposed solution has proved to
be more efficient than recovery from failure via traditional reactive FT mechanisms such as checkpoint/restart. The use of data
distribution service (DDS)
