Observability is critical for cloud-native applications due to their distributed, ephemeral, and complex nature. It relies on three key pillars: Metrics, Logs, and Traces. Metrics track system health at a glance, Logs provide detailed, timestamped context, and Traces reveal the journey of a request across services. Unlike traditional monitoring, observability helps identify unknown issues in real-time production environments. Tools like ELK and Kafka support log collection and analysis. Together, these pillars offer a holistic view of system behavior, enabling faster root cause detection, performance optimization, and enhanced reliability.

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