performance-backend

Identify and mitigate backend performance bottlenecks in .NET APIs.

Updated Mar 28, 2026

Search Tags:#performance #caching #backend #compression #pagination #ef-core

Ready to run

npx skills add https://github.com/congiuluc/my-awesome-copilot --skill performance-backend

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: performance-backend
Source: https://github.com/congiuluc/my-awesome-copilot/tree/main/skills/performance-backend
Command: npx skills add https://github.com/congiuluc/my-awesome-copilot --skill performance-backend

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Identify and mitigate backend performance bottlenecks in .NET applications, enabling faster API responses and scalable data access.

Core Features & Use Cases

Caching strategies (memory-based and distributed) to reduce database load and improve latency.
Response compression, pagination, and efficient querying across EF Core and Cosmos DB for large data sets.
Use Case: Optimize a high-traffic endpoint by enabling AsNoTracking, selective projection, and paging to achieve predictable performance.

Quick Start

Run a performance optimization workflow on your .NET backend to improve response times and throughput

Frequently Asked Questions about performance-backend

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I optimize .NET API performance bottlenecks with EF Core?▼

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.

What's the best way to implement caching in a .NET backend?▼

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.

Does response compression work with pagination to improve API throughput?▼

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.

How do I reduce Cosmos DB latency in a high-traffic .NET application?▼

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.

Can I use AsNoTracking and projection for EF Core query optimization?▼

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.