Top 10 Unit Testing Anti-Patterns in .NET and How to Avoid Them
Learn the most common unit test anti-patterns in .NET, over-mocking, testing implementation details, flaky async, assertion roulette, and how to fix them.
Learn the most common unit test anti-patterns in .NET, over-mocking, testing implementation details, flaky async, assertion roulette, and how to fix them.
In this article, we explore microservices and distributed systems interview questions and answers, and what every .NET engineer should know, from service boundaries and BFF to sagas, events, service discovery, and communication patterns.
This chapter explores NoSQL Databases questions that .NET engineers should be able to answer in an interview.
In this article, we explore practical patterns for data versioning and schema evolution in NoSQL systems.
Walk through consistency models in distributed systems: Strong, bounded staleness, session, causal, and eventual consistency, explain how they work with examples, and help you understand when each model makes sense.
Practical SQL best practices for developers and DBAs. Learn how to design clean schemas, write readable and efficient queries, avoid common mistakes, and keep your database secure and fast
Learn efficient SQL pagination techniques: offset, keyset, cursor, snapshot, hybrid & more. Understand trade-offs, use cases, and best practices.
Discover why skip-level meetings matter, the benefits for employees, managers, and leaders, plus common pitfalls and a simple agenda with ready-to-use questions to build trust and improve team culture.
Master ASP.NET Core for interviews! Explore middleware, routing, DI, caching, & security with expert Q&A for junior to senior .NET devs.
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 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.
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.
If you're starting your journey in software development, understanding the SOLID principles helps to write clean, maintainable code. In this article, we'll explore the five SOLID principles with C# examples, including wrong and corrected versions, to help you easily grasp how to apply them in real projects.
Choosing the right architecture style is important for applications that should be scalable, maintainable, and aligned with business requirements. Each architecture style has unique characteristics, and the choice can impact how the application performs, scales, and evolves. This article explores the top 10 software architecture styles you should know and their pros, cons, and typical use cases.
Weekend Reading: A weekly roundup of interesting Software Architecture and Programming articles from tech companies. Find fresh ideas and insights every weekend.
This article will explore software architecture references. It will cover their importance and how to use them to design effective solutions for your business needs.
This article outlines 6 simple steps to help you effectively scale your application, ensuring it can handle increased demand and continue to perform optimally.