Monitoring traditional monolithic applications is no longer sufficient for modern distributed systems built with microservices. Microservices introduce complexity and increase the mean time to resolution (MTTR) due to their constant changes, short container lifetimes, increased scale complexity, and potential misalignment of teams responsible for services they didn't develop. To address these challenges, a new approach called observability is required, which provides a connected view of performance data in real-time, enabling teams to pinpoint issues faster, understand what caused them, and deliver excellent customer experiences. Observability combines metrics, events, logs, and traces to provide actionable insight into how distributed applications work together and how dependencies impact the entire application. Distributed tracing is a critical component of observability, allowing teams to quickly understand what happens to requests as they transit through microservices and pinpoint where failures or performance issues occur and why. By implementing distributed tracing and following best practices such as defining clear objectives, using distributed tracing, collecting comprehensive metrics, setting up centralized logging, implementing health checks, and security monitoring, organizations can reduce MTTR and improve their overall software development and operations efficiency.