Master advanced enterprise-level rate limiting strategies including distributed systems, AI-powered protection, monitoring, and performance optimization techniques.
Author: Chandan
Azure Functions Security Best Practices: Protecting Your Serverless Applications in 2025
Comprehensive guide to securing Azure Functions in 2025. Learn authentication, authorization, input validation, secrets management, and monitoring strategies with practical code examples.
What is a Reverse Proxy? A Simple Guide for Everyone
Learn what a reverse proxy is and how it keeps your favorite websites fast and reliable. From restaurant host analogies to technical deep dives for programmers – everything explained simply.
Mastering Nginx Logging: From Basic Access Logs to Advanced Conditional Logging
Master nginx logging with this comprehensive guide covering everything from basic access logs to advanced conditional logging techniques. Learn how to monitor API performance, track security threats, and debug issues at the infrastructure level.
Azure OpenAI Service: Integration Patterns and Best Practices for Enterprise Applications
Learn proven integration patterns and best practices for implementing Azure OpenAI Service in enterprise applications. Covers security, performance optimization, cost management, and common pitfalls to avoid.
Azure Functions vs Traditional APIs: When to Choose Serverless
Deciding between Azure Functions and Traditional APIs? This comprehensive guide compares costs, performance, and use cases with practical code examples to help you choose the right serverless strategy for your applications.
Azure Cognitive Services: Building Intelligent Applications in 2025
In 2025, Azure Cognitive Services has evolved into an even more powerful suite of AI capabilities that enables developers to build intelligent applications with minimal
Mastering Azure Development with C# in 2025: A Complete Guide to Modern Cloud Architecture
As we navigate through 2025, Azure development with C# has reached new heights of sophistication. The ecosystem has evolved dramatically, offering developers unprecedented capabilities for
CART Algorithm: The Foundation of Interpretable Machine Learning and Decision Trees
CART (Classification and Regression Trees) stands as one of the most interpretable and versatile algorithms in machine learning. Developed by Leo Breiman and colleagues in
Naïve Bayes: The Surprisingly Effective Probabilistic Classifier Behind Spam Filters
Naïve Bayes stands as one of the most elegant and surprisingly effective algorithms in machine learning, despite its “naïve” assumption of feature independence. This probabilistic
