Test observability is an approach that enhances the understanding and monitoring of software testing processes, providing insights into the internal workings and outcomes of tests, which are crucial for effective testing, DevSecOps, and software development. It enables teams to detect issues more efficiently, resulting in improved meantime to repair (MTTR) and reduced development time, ultimately leading to higher-quality software and increased customer satisfaction. Observability is vital for diagnosing issues quickly, thereby offering a competitive advantage and mitigating risks associated with production failures. Key components of test observability include logging, debugging, monitoring, test automation, and application performance monitoring (APM) tools, with the choice of tools depending on the technical stack and system architecture. Implementing observability can be challenging due to data silos and system complexity, but starting small and gradually building up capabilities can yield significant benefits. The future of observability is likely to see a consolidation of tools, fostering a collaborative culture with on-demand tooling models, ultimately enhancing customer experience and delivery success.