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Hello everyone,   I need help optimising app speed as the project grows because I'm working on a huge Mendix project right now. It is anticipated that the application I am developing will manage growing numbers of users and a large amount of data. Even though I've complied with the Mendix documentation's fundamental performance recommendations, I'm interested in learning about any other best practices that seasoned developers have employed to enhance performance in comparable circumstances.   I would like some particular guidance in the following areas:   Database Optimisation: In Mendix, what are the best practices for optimising database searches, particularly for intricate linkages and substantial datasets? Any advice on query architectures or indexing that you think might be helpful?   When should I select a microflow over a nanoflow for performance optimisation? Are there particular situations where the use of nanoflows can greatly increase the pace of an application?   Horizontal Deployment Scaling: How have you handled horizontal Mendix scaling? What are some best practices for managing sessions, load balancing, and managing multiple users at once?   Caching Strategies: Which caching methods, particularly for static data or recurring requests, have you found to be most successful in cutting down on load times?   Tools for Monitoring and Debugging: Which third-party integrations or Mendix tools have been most useful in locating and addressing performance bottlenecks?   Thank you for sharing any resources, guidance, or recommendations you may have. I can't wait to apply the knowledge I get from other community members' experiences to my gen ai project.   Thank you in advance for your support and guidance.

asked 2024-08-23

0 answers