PROGRAMMING SERVICES

.NET & EF Core Performance Optimization — Fix Slow Queries & Memory Issues — from $349

Name: Optimum Web
Address: Calea Iesilor 8, office 3, Chisinau, MD-2069, MD
Telephone: +373 22 843569
Rating: 4.8

ASP.NET Core API running slow? Entity Framework Core loading entire tables when it should load 10 rows? Frequent timeout exceptions under load? Our .NET engineers profile your application, find the top bottlenecks, and fix them — with measurable response time improvements.

Fixed Price: from $349

3–5 business days

14-Day Warranty

from $349

Fixed price, VAT excluded

Delivery3–5 business days

Warranty14 days

EngineersSenior only

Request a Quote — from $349

We'll confirm the exact price within 2 hours and send a PayPal invoice

+373 22 843569

WHAT YOU GET

Deliverables Included

Application profiling with dotnet-trace, dotMemory, or MiniProfiler

EF Core query analysis — N+1 detection, lazy loading audit

LINQ query rewriting for optimal SQL generation

Database index recommendations based on actual query plans

Caching strategy implementation (IMemoryCache or Redis)

Async/await antipattern fixes (blocking calls, deadlocks)

Before/after performance comparison (response time, DB query count)

IDEAL FOR

Who This Service Is For

Teams whose ASP.NET Core API response times have degraded under load

Engineers seeing timeout exceptions or high database CPU in production

Companies preparing for traffic growth who need their .NET app to scale

TECHNOLOGIES

Technologies We Use

.NET 8ASP.NET CoreEntity Framework Core 8SQL ServerPostgreSQLRedisMiniProfilerdotnet-traceDapper (for critical queries)

HOW IT WORKS

Our Process

Profile

We run profiling tools against your staging or production environment.

Analyze

Top bottlenecks identified: N+1 queries, async issues, memory leaks.

Optimize

LINQ queries rewritten, indexes added, caching implemented.

Measure

Before/after comparison with measurable performance gains.

FAQ

Frequently Asked Questions

For N+1 EF Core fixes: 5–50x reduction in database round-trips. For async fixes: elimination of thread pool exhaustion under load. For caching: 80–99% reduction in database calls for read-heavy endpoints.

Yes. We can work from staging with production-equivalent data, or use slow query logs and profiling data you provide from production.

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