SLOs help align technical system metrics with business objectives, making them a more useful frame for reliability. However, SLOs can share weaknesses with MTTR, including being backward-looking only, ...

• Weibull plots fit a curve through data, not data to a predetermined distribution’s curve. • After evaluating subsystems, their Weibull data is combined to represent the complete system. Weibull ...

How can systems be designed to guard against unexpected downtime? How does system reliability impact product development? In what ways can artificial intelligence and machine learning improve system ...

In the electric power industry, there is the evolving issue and question of how reliable is reliable enough. In addition, discussion is ongoing about how much should be spent to get to the next level ...

In today’s world, so-called “high-performance, sustainable” facilities are a dime a dozen. But many of these buildings rely on overly complex mechanical systems to carry out their mission. While these ...

Designing, building, and maintaining the network of power transmission lines and associated infrastructure that delivers electricity across the U.S. is a complex task. It involves disparate components ...

The dominant narrative about AI reliability is simple: models hallucinate. Therefore, for companies to get the most utility from them, models must improve. More parameters. Better training data. More ...