In a multi-node Qlik Sense environment, what should be monitored closely to ensure optimal performance during significant data growth?

Monitoring data reload times and user access logs is crucial in a multi-node Qlik Sense environment, particularly during periods of significant data growth. As data volume increases, the time required to reload data into applications can become a bottleneck affecting overall performance. Understanding how long these reloads take helps system administrators identify potential issues and optimize load processes, ensuring that applications remain responsive and provide timely insights to users.

Additionally, user access logs provide insights into user behavior, helping to identify peak usage times and any potential access issues. This information is invaluable for adjusting resources and optimizing application performance in response to changing user demands. By balancing the needs of data loading operations and user interaction, administrators can maintain system efficiency and user satisfaction.

Other options do play a role in overall system health, but they do not focus specifically on the dual impact of data growth on performance like monitoring reload times and access logs does. Hardware specifications are important, but without consideration of actual performance data, simply optimizing hardware may not address bottlenecks in data processing. Application usage statistics provide valuable insights into how applications are used but do not directly relate to the performance impact of data growth on reload times. Server uptime and response times are essential metrics, but they often reflect issues stemming from other factors, such as