Overview

This course focuses on performance optimization and scalability in application development. You'll learn key techniques like caching, query optimization, and load balancing while using Microsoft Copilot to improve application code and database query performance. By the end of the course, you will be able to… Define the concepts and importance of caching, query optimization, and principles of scalability in application performance Explain how to implement in-memory and distributed caching, indexing strategies, and architectural patterns for scalability Describe techniques for analyzing query performance, load balancing, traffic management, and best practices for caching, query optimization, and scalable applications Optimize performance using Microsoft Copilot, focusing on application code and database queries

Syllabus

Caching Strategies With .NET Core

Efficient caching strategies are critical for improving application performance and reducing database load. This module introduces the concept of caching and its significance in optimizing .NET Core applications. Learners will explore in-memory caching and distributed caching implementations, understand cache expiration and invalidation strategies, and identify best practices for integrating caching mechanisms. By the end of this module, participants will be able to leverage caching effectively to enhance application responsiveness and scalability.

Optimizing Database Queries

Database performance is a crucial factor in ensuring efficient application operation. This module covers query optimization techniques that improve database responsiveness. Learners will explore various indexing strategies, query performance analysis tools, and optimization techniques for handling complex queries. Additionally, best practices for maintaining efficient database queries will be discussed. By mastering these techniques, developers can enhance the performance of their applications and minimize resource consumption.

Designing Scalable Applications

Building applications that can handle increasing loads without performance degradation is a key aspect of back-end development. This module focuses on the principles and architectural patterns that support scalability, including load balancing, traffic management, and asynchronous processing. Learners will gain insights into designing systems that effectively scale to meet growing user demands. By the end of this module, participants will be equipped with best practices for creating robust and scalable applications.

Using Microsoft Copilot for Optimizing Code and Database Performance

AI-powered tools like Microsoft Copilot can significantly enhance performance optimization in software development. This module provides hands-on experience in using Microsoft Copilot to analyze and improve application code and database performance. Learners will explore how Copilot assists in identifying performance bottlenecks, optimizing database queries, and implementing comprehensive performance enhancements. By leveraging AI-driven insights, developers can streamline optimization processes and improve application efficiency.