Reliability is a crucial investment for businesses as downtime can have significant financial repercussions, with an average cost of $14,056 per minute. While increasing system availability from 98% to 99% can potentially save millions by reducing downtime, calculating the return on investment (ROI) for reliability involves more than simple arithmetic. It requires assessing both the costs of implementing reliability measures, such as additional tools and personnel, and the savings from avoided losses. The ROI from reliability programs is not only about preventing outages but also includes benefits like improved time to market, increased efficiency, and reduced employee burnout. Tools like Gremlin can help organizations establish and track reliability metrics, thereby proving the ROI of their efforts by documenting the improvements made in system resilience and the avoidance of potential failures. Such programs also contribute to long-term gains by enhancing productivity and lowering future hiring needs, which are integral to the overall calculation of ROI.