Design Patterns

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 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.

This article discovers the differences between ETL and ELT processes and how they could be used for data integration.

GRASP (General Responsibility Assignment Software Patterns) provides guidelines for making better decisions in object-oriented design. Unlike the classic 'Gang of Four' patterns, GRASP focuses on general approaches rather than specific solutions.

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

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

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.