Observability has emerged as a crucial practice for understanding the internal state of cloud applications and infrastructure, offering a compelling alternative to traditional Application Performance Monitoring (APM) by addressing its limitations. Unlike APM, which often lacks comprehensive system insights and relies on a backward-looking approach, observability provides holistic, real-time visibility across the entire stack, including cloud infrastructure and microservices. This approach leverages advanced monitoring techniques such as distributed tracing and metrics correlation to streamline root cause analysis and improve system performance. As organizations increasingly adopt microservices and cloud-native technologies, observability platforms prove more scalable, flexible, and cost-efficient than traditional APM solutions. Logz.io's App 360 exemplifies this shift by offering an observability-centric platform that unifies distributed tracing, service analysis, and anomaly detection, providing full visibility into application health and performance with targeted AI to enhance troubleshooting and reduce data consumption costs.