Performance

This chapter explores design patterns, anti-patterns, and principles that are usually used across development on  .NET. 

This chapter explores advanced asynchronous and parallel programming in .NET, including Tasks, Thread Pools, channels, race conditions, context switches, and best practices.

This Chapter covers data structures in .NET, collections and their implementations, and performance characteristics.

This article explores essential C# type concepts, providing detailed explanations, code examples, and junior, middle, and senior expectations to enhance your understanding and boost your confidence.

This article will dive into essential concepts every .NET developer should know. This article will focus on C# Core Language and .NET Platform Fundamentals questions.

This guide covered the most popular caching strategies, cache eviction policies, and pitfalls that you might encounter when implementing a cache for your system.

This article considers popular options for storing hierarchical data in SQL and NoSQL databases.

AbstractLess: Approach to avoid complexity in your system architecture

This article explores essential data integration patterns, including ETL, ELT, Change Data Capture (CDC), Data Federation, Data Virtualization, Data Replication, Publish/Subscribe, Request/Reply, and Point-to-Point Integration. Learn how and when to use these patterns for efficient data handling and real-time analytics.

Learn how Frugal Architecture helps you build cost-efficient, scalable, and sustainable software systems. Discover practical tips, rules, and common pitfalls to optimize your architecture for better performance and lower costs.

Weekend Reading: A weekly roundup of interesting Software Architecture and Programming articles from tech companies. Find fresh ideas and insights every weekend.

In this article, we’ll explore the Scale Cube in detail, focusing on each axis, how it helps systems scale, and pros and cons.