SyteLine Performance Troubleshooting Guide

Performance Diagnostic Methodology

Start with the user-reported symptom and work backward through the stack. Slow form loads could be browser rendering, network latency, IIS queuing, Mongoose processing, or SQL query execution. Use browser developer tools (F12) to measure network response times, IIS request tracing to measure server processing time, and SQL Profiler to measure query execution time.

The layer with the largest time contribution is your optimization target.

• Use browser F12 developer tools to separate network transfer time from server processing time
• Enable IIS failed request tracing for requests exceeding your performance threshold (e.g., 3 seconds)
• Run SQL Server Profiler filtered to the SyteLine database during symptom reproduction
• Check Mongoose application server CPU and memory during peak usage with Performance Monitor counters

Common Performance Issues and Solutions

The most frequent SyteLine performance issues are: missing SQL indexes causing full table scans, excessive data returned by poorly filtered IDO requests, application server memory pressure from large user sessions, and IIS thread pool exhaustion during peak concurrent usage. Each has a specific diagnostic signature and a targeted resolution approach.

• Missing indexes: queries with high logical reads in SQL Profiler, add covering indexes on filter columns
• Over-fetching data: large IDO result sets, add property lists and filter expressions to reduce data volume
• Memory pressure: rising memory on app server, review session sizes and implement session timeouts
• Thread pool exhaustion: queued requests in IIS, increase worker processes or optimize long-running requests

Proactive Performance Management

Reactive troubleshooting is expensive. Build a proactive performance baseline by monitoring key metrics continuously: average form load time, SQL Server wait statistics, Mongoose connection pool utilization, and IIS request queue depth. Set alerting thresholds so you detect degradation trends before users start complaining.

Schedule quarterly performance reviews to identify and address creeping issues.

• Establish performance baselines for top 20 most-used forms and track trends weekly
• Monitor SQL Server wait statistics to identify systemic database performance issues
• Configure alerts when IIS request queue depth exceeds 10 or average response time exceeds 5 seconds
• Run quarterly performance reviews comparing current metrics to baselines and addressing degradation