NS1, a prominent DNS host and web traffic management company, faced challenges in managing large volumes of telemetry data due to the limitations of their initial dual-system architecture comprising an OpenTSDB cluster for metrics and an Elasticsearch cluster for log data. As their operations scaled to processing terabytes per day, NS1 decided to consolidate their telemetry systems by adopting Elasticsearch as their primary time series database (TSDB). This transition allowed them to handle both structured and unstructured data more effectively while utilizing the Kibana UI for data analysis. The decision was influenced by Elastic's robust community support and the comprehensive features of Elasticsearch, including its clustering capabilities, which provided fault tolerance and easy scalability. Christian Saide, a DevOps and Software Engineer at NS1, highlighted the significant time and resource savings achieved through this integration, as well as the enhanced ability for data introspection and problem-solving. Despite the learning curve associated with this overhaul, the adoption of Elasticsearch has been a successful and transformative solution for NS1, enabling them to focus more on their core business systems.