What approach is suggested to optimize user traffic in Tableau Server?

Adding VizQL processes one at a time while simultaneously increasing cache server processes is an effective approach to optimizing user traffic in Tableau Server. This method allows for a gradual and controlled expansion of resources, which can help balance the load and ensure that users experience reduced latency when interacting with visualizations.

By incrementally adding VizQL processes, you ensure that each additional process has sufficient resources and can efficiently handle incoming query requests from users. At the same time, increasing the cache server processes enhances the ability of Tableau Server to serve frequently accessed data without the need to recompute results from the underlying data sources each time. This can significantly improve response times and overall performance for end-users.

The strategy of managing server processes in this way also provides flexibility in monitoring performance and making further adjustments as necessary, thereby aligning resources more closely with actual usage patterns. This approach fosters better scalability and responsiveness, directly addressing the needs of users as they engage with dashboards and reports.