In order to create reliable real time systems, it is important to know not only what the expected capacity and response time is in normal conditions, but also what the behavior of the system will be in degraded conditions. In systems which include redundancy or allow for degraded operations in the presence of non-critical failures, this assessment must be integrated with the expected reliability and/or availability of each operational state. Typically, response time and performance evaluations for complex systems are performed using discrete event simulations. Reliability and availability predictions can also be done using discrete event simulations or analytical methods. However, the time scales of response times and failure rates can vary by 12 orders of magnitude, well beyond the feasible range of any simulation program to perform. We have developed a method to evaluate integrated reliability and performance using standard reliability and performance measurement in an innovative technique that combines both Markov and discrete event simulation methods.