Navigate to the 'Storage' tab to analyze the data distribution across executors, assuming uneven data distribution is the root cause of performance issues.

Inspect the 'Executors' tab to identify executors with high memory usage or low task execution rates, which may indicate performance bottlenecks, and consider reallocating resources or adjusting the executor configuration.

Review the 'Environment' tab to check for any misconfigurations in executor settings that could be causing the issues, and then restart the affected executors.

Examine the 'Jobs' tab to look for executors processing an unusually high number of tasks, suggesting an imbalance, and then manually redistribute the tasks among executors.