To optimize Tableau architecture for user traffic, what actions can be taken?

Optimizing Tableau architecture for user traffic often involves carefully managing the VizQL processes, which are responsible for rendering visualizations and executing queries. Adjusting these processes incrementally allows Tableau to balance load effectively based on current user demand, ensuring that resources are allocated in an efficient manner. This approach helps improve the performance of dashboards and reports by optimizing the rendering and data retrieval processes, particularly during peak user activity times.

The other options may not effectively promote optimization. For example, increasing the number of backgrounder processes may initially seem beneficial, but it can lead to resource contention or overwhelm the available hardware if not managed properly. Decreasing cache server processes could negatively impact performance, as caching is crucial for delivering fast response times by storing frequently accessed data. Consolidating all services on one node can create a single point of failure and may lead to performance bottlenecks since it overloads one machine with multiple tasks, contradicting the distribution of workloads that enhances system efficiency. Thus, carefully adjusting VizQL processes emerges as the most strategic approach for handling user traffic effectively.