Tipalti, a global leader in payables automation, leveraged AutoOps to transition from manual to automated Elasticsearch performance management, achieving a 10% annual cost saving and enhancing system reliability. Initially, Tipalti faced challenges with their manual monitoring approach, which involved using dedicated clusters for each environment and required significant time for issue diagnosis. The adoption of AutoOps provided immediate visibility and actionable intelligence, allowing the team to optimize their indexing strategy, reduce CPU and RAM usage, and decommission outdated infrastructure. Additionally, AutoOps' machine learning-powered anomaly detection minimized alert fatigue, empowering developers with real-time performance data and fostering a collaborative engineering culture. This strategic shift enabled Tipalti's small team to manage a large-scale data platform efficiently, focusing on proactive optimization and fostering an innovative, data-driven environment.