Managing a 200-node Hadoop cluster involves significant challenges, where even small issues can lead to major outages. To address this, Hadoop teams are implementing canary tests through tools like Acceldata Pulse, which run scheduled health-check jobs across various Hadoop services such as HDFS, Hive, and Spark. These tests act as early-warning systems to detect performance regressions or failures before they impact business operations, thereby enhancing reliability and reducing downtime. The framework enables administrators to configure and execute these tests systematically, with Pulse capturing and analyzing metrics to provide real-time alerts and insights via dashboards. This proactive approach not only minimizes Mean Time to Repair by detecting issues early but also supports performance tuning and capacity planning through historical data analysis. Consequently, canary tests transform the management of Hadoop environments from reactive to proactive, ensuring more stable and reliable platform performance.