Application Performance Optimization
Optimize end-to-end application performance — database queries, HTTP pipelines, serialization, and monitoring in production.
45 min•By Priygop Team•Last updated: Feb 2026
Database Performance
- EF Core Query Optimization: Use AsNoTracking() for read-only queries, AsSplitQuery() for queries with multiple includes, compiled queries for hot paths
- Pagination: Always paginate large result sets — use keyset pagination (WHERE id > @lastId ORDER BY id LIMIT 20) instead of OFFSET/FETCH for large datasets
- N+1 Problem: Use Include/ThenInclude to eager-load related data — or use projection (Select) to fetch only needed columns
- Raw SQL / Dapper: Use for complex reporting queries — Dapper is 10-20x faster than EF Core for read-heavy queries with no change tracking overhead
- Database Indexing: Create indexes for WHERE, JOIN, and ORDER BY columns — use EXPLAIN ANALYZE to verify query plans. Remove unused indexes
- Connection Pooling: Configure pool size based on concurrent requests — too few pools create wait times, too many exhaust database connections
Try It Yourself: LINQ Explorer
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