Global Real-Estate Company Enhances Search Efficiency

This case study outlines the implementation of Elastic Observability by a global real-estate company to improve search performance and reduce operational costs. The company transitioned from Datadog to Elastic Observability, resulting in annual savings of $1.8 million in total cost of ownership. Key improvements included a 90% reduction in duplicate data and a 100% increase in data storage retention, allowing for better data management across 450 services. The migration also facilitated seamless integration with open-source tools, enhancing data ingestion and processing capabilities. The Director of Data Engineering highlighted the operational benefits of Elastic APM, which provided interactive dashboards and improved code quality by identifying performance issues. The case study emphasizes the importance of cost efficiency in the real estate sector and the role of advanced observability solutions in achieving operational excellence. Additionally, the company is exploring future innovations, including AI-driven search functionalities to enhance user experience.