Resolving Session Timeouts and Performance Lag in High-Volume Environments

Overview

As your organization grows, the volume of concurrent data processes (e.g., bulk payroll processing or large inventory imports) can exceed the default "Concurrency Limits" of the environment, leading to 408 Request Timeout errors.

Why This Happens

Enterprise systems use Worker Threads to process requests. If all available threads are occupied by long-running background tasks (like a 5,000-employee payroll run), the UI will become unresponsive for other users.

Best Practices & Workarounds

• Off-Peak Scheduling: Use the Task Scheduler to move non-urgent data exports and large report generations to "Off-Peak" hours (e.g., 8:00 PM – 6:00 AM).

• Batch Processing: Instead of uploading one massive .csv file with 50,000 rows, split the file into smaller batches of 5,000. This allows the system to clear the queue between tasks.

• Browser Cache Management: In many cases, "UI Lag" is client-side. Clearing the browser’s local storage or hard-refreshing (Ctrl + F5) can resolve rendering delays after a system update.

When to Contact Support

If performance remains slow during low-traffic periods, please provide a HAR file (network log) so our DevOps team can analyze database query latency.