NoOps, or "no operations," is a concept that seeks to automate IT processes to the extent that a dedicated operations team becomes unnecessary, evolving from the DevOps model where developers and operations work collaboratively. Initially introduced by Forrester in 2010, NoOps didn't gain much traction due to the complexities involved in evolving DevOps practices. However, the rapid digital transformation prompted by the COVID-19 pandemic has reignited interest in NoOps, as organizations face resource constraints and increased pressures on IT teams. The idea is not to eliminate operations staff entirely but to reduce their burden by automating routine tasks, allowing them to focus on innovation. AIOps, which combines big data and machine learning, has been crucial in this shift, offering advanced capabilities for automating IT operations processes like anomaly detection and root cause analysis. Modern AIOps solutions, such as those offered by Dynatrace, further enhance this approach by providing real-time data analytics and intelligent problem-solving across hybrid and multi-cloud environments. As organizations prepare for a future with diverse cloud infrastructures, NoOps is becoming increasingly feasible, supported by advancements in cloud automation and AIOps, promising a streamlined IT operations landscape.