Advanced Azure API Management scenarios including B2B authentication, policy testing, performance optimization, and production security best practices for enterprise deployments.
Tag: Performance Optimization
Azure Functions Cold Start Optimization – Part 1: Understanding Fundamentals & Basic Techniques
Comprehensive guide to understanding and optimizing Azure Functions cold starts. Learn what causes cold starts, how to measure performance, and implement fundamental optimization techniques to improve your serverless applications.
Azure Functions Performance Optimization: Advanced Techniques for Lightning-Fast Serverless Apps
Master Azure Functions performance optimization with proven techniques for cold start reduction, memory efficiency, database optimization, and monitoring. Includes practical code examples and performance metrics.
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.
Performance Optimization and Cost Management: Engineering Excellence at Sustainable Economics
Part 6 explores the critical balance between system performance and operational costs. We dive deep into intelligent cost optimization, performance engineering at scale, and building systems that automatically optimize for both speed and efficiency while serving millions of users.
From Architecture to Implementation: Building the Engine of Scale
Part 3 dives deep into the implementation details that transform architectural blueprints into production-ready code. We explore base62 encoding optimization, sophisticated API error handling, multi-tiered caching strategies, and adaptive circuit breakers that learn from system behavior to become more resilient over time.
Building scalable software architectures for large-scale applications
Discover proven strategies for building software architectures that scale from thousands to millions of users. Learn practical patterns, real-world case studies, and avoid common pitfalls that cause applications to fail under load.
