As businesses increasingly depend on positive digital experiences, the seamless operation of cloud applications and infrastructure becomes vital, with observability playing a crucial role by providing insights into IT system health and performance. However, challenges such as increased infrastructure complexity and escalating observability costs are becoming more prevalent. Mean Time To Recovery (MTTR) is rising due to complex systems like Kubernetes, while data explosion from cloud-native applications leads to higher costs. The integration of AI in observability solutions can expedite troubleshooting, optimize data storage by filtering unnecessary data, and enhance querying capabilities. Additionally, the convergence of security and observability highlights the need for shared visibility across operational and security aspects, particularly in Kubernetes environments. Companies are encouraged to adopt strategies that leverage AI, reduce costs, and integrate security to maintain effective observability practices, with Logz.io introducing features to address these challenges through its Open 360™ platform.