Cloud observability is a crucial aspect of managing cloud infrastructure and ensuring app performance. It involves collecting and analyzing data from various sources, such as logs, metrics, and traces, to gain insights into application behavior and identify potential issues before they become critical. Observability helps organizations mitigate problems by answering broader questions like "What is happening?" and "How is it happening?", enabling proactive measures like alerts and improving Mean-Time-To-Detect (MTTD). A well-implemented observability solution should provide low overhead, low MTTD, and a holistic monitoring strategy, while collaborating between development and operations teams. As the field continues to evolve, AI-driven anomaly detection, integration with DevOps and CI/CD pipelines, and advancements in distributed tracing and service mesh are expected to play significant roles in shaping cloud observability.