ArcGIS for Server Performance and Scalability—Testing Methodologies Andrew Sakowicz Frank Pizzi Introduction • Esri Professional Services • Frank Pizzi, [email protected] • Andrew Sakowicz, [email protected] Audience • Testers • Developers • Architects Outline • Performance factors • Tuning and monitoring • Testing • Capacity planning Performance factors Performance engineering Addressed through each project phases • Testing and tuning conduced typically during: • Development - Prototype - Unit test • Deployment • Operations Performance and Scalability Definitions • Performance: The speed at which a given operation occurs • Scalability: The ability to maintain performance as load increases Throughput (Tr/hr) Response Time (sec) User load GIS Services Map service • Performance related to number of features and vertices ) c e s ( e m i T e s n o p s e R Number of features Hardware resources - CPU - Network - bandwidth - latency - Memory - Disk Most well-configured and tuned GIS systems are processor-bound. Virtualization overhead 10% to 30%