
As organizations increasingly transition from traditional monolithic systems to cloud-based microservices architectures, the need for effective observability practices becomes paramount. Observability, powered by artificial intelligence (AI), is essential to ensure the resilience, uptime, and efficiency of these complex systems. This article explores how AI can enhance observability in cloud microservices architecture, providing insights into structured logging, exception handling, and AI-driven










