Description

Introduction
In today’s fast-paced digital world, performance is critical to the success of web applications. Optimizing the performance of ASP.NET Core applications ensures fast response times, scalability, and a smooth user experience, even under heavy loads. This course covers the best practices, techniques, and tools for fine-tuning ASP.NET Core applications for speed and efficiency. Whether you’re building a simple web app or a complex enterprise solution, you’ll learn how to identify performance bottlenecks, implement efficient coding practices, and utilize ASP.NET Core’s built-in features to optimize performance across the entire application lifecycle.

Prerequisites

• Experience with ASP.NET Core development
• Familiarity with C# programming language
• Basic knowledge of web development and performance concepts
• Understanding of HTTP, web servers, and APIs

Table of Contents

1. Introduction to Performance Optimization
   1.1 Why Performance Matters in ASP.NET Core Applications
   1.2 Common Performance Issues in Web Applications
   1.3 Measuring and Benchmarking Application Performance
   1.4 Overview of Tools and Techniques for Performance Tuning
2. Optimizing ASP.NET Core Application Architecture
   2.1 Choosing the Right Architecture for Performance
   2.2 Leveraging the MVC and Razor Pages for Performance
   2.3 Reducing Unnecessary Dependencies
   2.4 Optimizing API Design for Better Throughput
   2.5 Implementing Statelessness for Scalability and Speed
3. Improving HTTP Request and Response Handling
   3.1 Efficient Routing and URL Patterns
   3.2 Optimizing Middleware for Performance
   3.3 Reducing Response Size with Compression
   3.4 HTTP/2 for Faster Request-Response Cycles
   3.5 Minimizing Server-Side Processing with Caching
4. Memory and Resource Management
   4.1 Efficient Memory Management in ASP.NET Core(Ref: Building Scalable Web Applications with ASP.NET Core and Azure)
   4.2 Reducing Memory Leaks and Object Allocation
   4.3 Using Object Pooling for Performance Gains
   4.4 Managing Garbage Collection for Faster Execution
   4.5 Optimizing the Use of Asynchronous Programming
5. Database Optimization Techniques
   5.1 Query Optimization with Entity Framework Core
   5.2 Implementing Efficient Database Connections
   5.3 Caching Database Queries with Redis or MemoryCache
   5.4 Indexing and Optimizing SQL Queries
   5.5 Managing Transactions and Concurrency for High Performance
6. Improving Front-End Performance
   6.1 Using Bundling and Minification for Faster Load Times
   6.2 Leveraging Client-Side Caching for Performance
   6.3 Implementing Lazy Loading for Images and Assets
   6.4 Optimizing JavaScript and CSS Files for Speed
   6.5 Delivering Content Efficiently with a Content Delivery Network (CDN)
7. Optimizing Application Startup Time
   7.1 Reducing Application Startup Time in ASP.NET Core
   7.2 Lazy-Loading Services for Faster Bootstrapping
   7.3 Using Precompiled Views to Speed Up Startup
   7.4 Optimizing Dependency Injection for Fast Object Creation
8. Profiling and Monitoring for Performance Bottlenecks
   8.1 Using Application Insights for Performance Monitoring
   8.2 Profiling with Visual Studio and JetBrains Rider
   8.3 Real-Time Monitoring with Azure Monitor and Logs
   8.4 Analyzing Performance Metrics with Application Insights
   8.5 Identifying and Resolving Performance Bottlenecks
9. Scaling ASP.NET Core Applications for Performance
   9.1 Horizontal Scaling and Load Balancing
   9.2 Using Redis and Azure Cache for Scalability
   9.3 Optimizing for Cloud-Based Performance (Azure, AWS, GCP)
   9.4 Implementing Distributed Caching for Large-Scale Applications
   9.5 Using Docker and Kubernetes for Scalable Application Deployment
10. Security and Performance Optimization
    10.1 Securing Web Applications Without Sacrificing Speed
    10.2 Optimizing SSL/TLS Handshake for Faster Connections
    10.3 Best Practices for Secure and Fast Authentication (JWT, OAuth2)
    10.4 Minimizing Security Overhead in API Communication
11. Testing and Continuous Integration for Performance
    11.1 Performance Testing with BenchmarkDotNet
    11.2 Using Load Testing Tools (Apache JMeter, Visual Studio Load Test)
    11.3 Setting Up Continuous Integration for Performance Optimization
    11.4 Automating Performance Regression Testing
    11.5 Analyzing Performance Reports for Continuous Improvement
12. Hands-On Projects and Real-World Scenarios of ASP.NET Core Performance Optimization
    12.1 Building a High-Performance REST API with ASP.NET Core
    12.2 Optimizing a Legacy ASP.NET Core Web Application
    12.3 Implementing Efficient Database Query Caching
    12.4 Scaling and Deploying a Performance-Optimized Application to Azure
    12.5 Profiling and Troubleshooting Performance Issues in Live Applications

Conclusion
Optimizing the performance of ASP.NET Core applications is essential for providing users with fast, responsive, and reliable web experiences. This course has provided a comprehensive approach to optimizing application architecture, database access, memory management, front-end performance, and scaling strategies. By applying the best practices and techniques learned, you will be able to enhance the speed, efficiency, and scalability of your applications. With a focus on real-world scenarios, this course ensures you’re prepared to tackle performance challenges and build high-performance ASP.NET Core applications that meet the demands of modern users and enterprise environments.

Reference