What is Observability?
Blog post from Observe
Observability, an increasingly vital concept in modern IT environments, transcends traditional monitoring by enabling a comprehensive understanding of complex systems through the correlation and contextualization of data from various sources. Unlike older monolithic systems, today's environments are characterized by microservices, cloud-native applications, and distributed architectures, making observability essential for optimizing performance and reliability. Originating from control theory and gaining prominence in IT through companies like Twitter and Stripe in the mid-2010s, observability relies on surface-level data such as logs, metrics, and traces but also extends to contextual data from CI/CD pipelines and ticketing systems. While monitoring and visibility provide surface insights, observability delves deeper to reveal the internal state of systems, allowing engineers to diagnose and address issues efficiently. The approach to observability varies based on the system, whether it involves applications, distributed or cloud environments, or orchestrators like Kubernetes, each presenting unique challenges and data correlation requirements.