In the article "Product Observability with the Elastic Stack" by Tanya Bragin, the author explores the concept of observability, explaining its significance in operational systems and its growing traction in the tech industry. Observability is described as an intrinsic system attribute that enables operators to detect and address undesirable behaviors in production environments, relying on a combination of metrics, logs, and application traces, often referred to as the "three pillars of observability." The article discusses the common challenges organizations face in collecting and making this data actionable, highlighting the benefits of integrating these data streams into a single operational store to improve efficiency and reduce costs. Elastic Stack, or ELK Stack, is presented as a versatile solution for centralizing various types of operational data, including logs, metrics, and traces, and is particularly noted for its adaptability to emerging requirements like anomaly detection. The piece emphasizes how Elastic's tools, such as Metricbeat and Elastic APM, help streamline observability efforts by automatically correlating different data types, thus facilitating more effective monitoring and troubleshooting in complex environments like those using Kubernetes.