Critical application outages can severely impact citizen trust, employee satisfaction, and operational efficiency, prompting the need for improved observability-driven DevOps in state agencies like Minnesota IT Services (MNIT). By integrating observability data into their DevOps pipelines, MNIT has enhanced their ability to make data-driven release decisions, catch bugs early, and ultimately reduce the mean time to resolution (MTTR) for technical issues. This approach, aided by tools like Dynatrace, has reduced the time needed to resolve complex problems from days to hours, allowing teams to spend less time troubleshooting and more on innovation. Observability has also fostered better collaboration among IT staff by breaking down silos, leading to improved working relationships and enabling MNIT to meet project timelines consistently over the past three years. As traditional cloud monitoring methods struggle to scale with expanding multicloud architectures, modern observability platforms powered by AIOps and automation offer a proactive approach to prevent outages and improve digital experiences. This shift is essential not only for state agencies but also for commercial enterprises facing similar challenges, as it significantly enhances operational efficiency and reduces downtime costs.