performance-backend

To optimize .NET API performance bottlenecks, apply AsNoTracking, selective projection, and paging across EF Core queries. These techniques reduce database load and memory overhead, directly improving response times and throughput for data-heavy endpoints.

The best way to implement backend caching in .NET is configuring both in-memory and distributed caches. This strategy significantly reduces database load and improves latency by serving repeated data requests directly from cache memory.

Response compression and pagination work together to improve API throughput. Compression minimizes payload size over the network, while pagination limits the total data retrieved, ensuring predictable performance for large data sets.

Reduce Cosmos DB latency by applying efficient query patterns and repository method optimization alongside distributed caching. This combination limits direct database calls and streamlines data access for high-traffic .NET workloads.

You can use AsNoTracking and selective projection together for EF Core query optimization. AsNoTracking bypasses change tracking to save memory, while projection fetches only required columns, yielding faster and more efficient database queries.