perf-optimise

Optimize slow Power Platform apps by implementing concurrent data loading, lazy loading, and pre-computation. Apply server-side filtering and indexed queries to Dataverse to move processing closer to the data source and reduce client-side bottlenecks.

Delegation in Power Platform is pushing data processing operations back to the Dataverse source instead of retrieving all records locally. It improves Canvas Apps performance by ensuring only required filtered data crosses the network, preventing slow screen loads with large datasets.

Prevent API throttling in Power Automate and plugins by implementing batch operations and safe handling of API limits. Apply documented patterns and recommended configurations to distribute load, avoiding simultaneous calls that exceed platform thresholds.

Yes, performance optimization patterns apply across Canvas Apps, Model-Driven Apps, and Code Apps. Cross-platform optimization covers Dataverse queries and Power Automate flows, providing concrete examples to resolve common bottlenecks like inefficient data access.

Dataverse queries perform poorly when filtering large datasets without server-side filtering or indexed queries. Move work to the data source by enforcing delegation requirements and applying indexed queries to ensure the server handles the filtering efficiently.