The blog explores the use of Cross Cluster Search (CCS) within Elastic Cloud to enhance observability across distributed platforms, particularly when data is spread across multiple deployments and regions. By utilizing CCS, the Elastic Cloud terraform provider, and the Elastic Cloud API, the solution creates a scalable central deployment that consolidates data from over 150 remote observability clusters across more than 50 cloud regions. This setup facilitates seamless data analysis, maintaining the benefits of data isolation while enabling the detection of patterns across regions. Key components of the solution include leveraging Service Level Indicators (SLIs) and Objectives (SLOs) for performance metrics, tagging deployments for easy identification, and dynamically configuring central and remote deployments using terraform code. This method allows for efficient expansion and integration of new regions, ensuring that adding observability capabilities is a low-friction task as Elastic Cloud continues to grow.