What is a suggested solution for a High Java Work Queue Size in your Appian instance?

Adding more application servers is an effective solution for addressing a high Java Work Queue size in an Appian instance. When the Java Work Queue grows large, it typically indicates that there are more tasks waiting to be processed than the current system can handle efficiently. By scaling out horizontally—adding more application server instances—the load can be distributed more evenly. This increases the capacity for processing tasks, allowing for quicker execution and thereby reducing the queue size.

As more application servers are introduced, each server can take on a portion of the workload. This is particularly useful during peak usage times or when processing extensive workflows, as it enables the system to manage more concurrent tasks and improves overall performance and responsiveness.

In contrast, maximizing memory allocation, fine-tuning database settings, or reducing the number of user sessions may not directly address the root of the problem. While these actions could lead to some improvements in performance, they don't scale the application’s processing capability as effectively as deploying additional application servers. Increasing the number of servers specifically targets the issue of high workload by providing more resources to handle the demand.