SyteLine Performance Troubleshooting Guide
Performance issues in SyteLine manifest in many ways: slow form loads, API timeouts, MRP runs that take twice as long as they should, and report generation that brings the server to its knees. The challenge is that SyteLine performance depends on a multi-layer stack—client browser, IIS web server, Mongoose application server, SQL Server database, and network infrastructure. Effective troubleshooting requires systematically isolating which layer is the bottleneck.
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
Experiencing SyteLine performance issues? Our performance engineers diagnose and resolve bottlenecks fast.
Related Resources
SyteLine Data Views Optimization Guide
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Infor SyteLineSyteLine Database Optimization and SQL Tuning
Optimize SyteLine SQL Server databases. Index maintenance, query tuning, tempdb optimization, and database configuration for peak CloudSuite performance.
Infor SyteLineSyteLine Batch Processing Automation
Automate SyteLine batch processing for MRP, posting, and reports. Job scheduling, dependency management, and error handling best practices.