Skip to main content

Posts

Showing posts from September, 2025

Monolith vs Microservices in .NET Core

  Monolith vs Microservices in .NET Core 1. Monolithic Architecture Definition : A single, unified codebase where all modules (UI, business logic, data access) are part of one large application. Deployment : Deployed as a single unit (e.g., one .exe or .dll ). Scaling : Scales by cloning the entire application (vertical/horizontal scaling). Communication : Internal method calls (no network). Tech Stack : Typically limited to a single framework/runtime. Example in .NET Core : An ASP.NET Core MVC app with controllers, services, and EF Core all in the same project. Single database, one codebase, deployed to IIS/Kestrel. 2. Microservices Architecture Definition : A collection of small, independent services, each responsible for a specific business function. Deployment : Each service runs independently (often in Docker containers). Scaling : Scale individual services based on demand. Communication : Via APIs (REST, gRPC, message queues). ...
Post a Comment
Read more

Monolith vs Microservices in .NET Core

  Monolith vs Microservices in .NET Core 1. Monolithic Architecture Definition : A single, unified codebase where all modules (UI, business logic, data access) are part of one large application. Deployment : Deployed as a single unit (e.g., one .exe or .dll ). Scaling : Scales by cloning the entire application (vertical/horizontal scaling). Communication : Internal method calls (no network). Tech Stack : Typically limited to a single framework/runtime. Example in .NET Core : An ASP.NET Core MVC app with controllers, services, and EF Core all in the same project. Single database, one codebase, deployed to IIS/Kestrel. 2. Microservices Architecture Definition : A collection of small, independent services, each responsible for a specific business function. Deployment : Each service runs independently (often in Docker containers). Scaling : Scale individual services based on demand. Communication : Via APIs (REST, gRPC, message queues). ...
Post a Comment
Read more

.NET C# interview questions – the kind that interviewers actually ask to test depth, not just theory.

  .NET C# interview questions – the kind that interviewers actually ask to test depth, not just theory. I’ll give you a structured list with Basic → Intermediate → Advanced → Architect-level questions. 🔹 Basic Level (C# / .NET Fundamentals) What is the difference between value type and reference type in C#? Explain boxing and unboxing with an example. What are generics in C#? Why do we use them? What is the difference between const , readonly , and static ? Explain the difference between abstract class and interface . How does Garbage Collection work in .NET? What are extension methods in C#? What’s the difference between IEnumerable , ICollection , IList , and IQueryable ? 🔹 Intermediate Level (OOP, LINQ, Async, EF) Explain Dependency Injection . How is it implemented in .NET Core? What are async/await keywords in C#? How do they work internally? Difference between Task , Thread , and ValueTask . How does LINQ work internall...
Post a Comment
Read more

.NET Architect

A .NET Architect is a senior-level technical professional who designs, oversees, and guides the architecture of applications and systems built on the Microsoft .NET platform. They act as a bridge between business requirements, development teams, and infrastructure, ensuring that solutions are scalable, secure, maintainable, and aligned with organizational goals . Here’s a detailed breakdown: 🔹 Key Responsibilities of a .NET Architect Architecture Design Define application architecture using .NET (Framework, Core, 6/7/8+). Choose the right design patterns (MVC, Microservices, CQRS, DDD, Event-Driven, etc.). Define system integration strategies (APIs, message queues, services). Technology Selection Decide on frameworks, libraries, and tools (Entity Framework, Blazor, SignalR, gRPC, etc.). Cloud platforms (Azure/AWS/GCP) and DevOps pipelines. Scalability & Performance Design systems to handle high loads. Optimize APIs, caching, database queries, ...
Post a Comment
Read more

Future of QA Testing: Trends to Watch in 2025 and Beyond

  Future of QA Testing: Trends to Watch in 2025 and Beyond QA is evolving rapidly with advancements in AI, automation, and DevOps. Here are some trends shaping the future of testing: 1. AI-Powered Testing Artificial Intelligence tools are helping automate test case creation, bug detection, and predictive analysis. 2. Continuous Testing in DevOps Testing is becoming a continuous process integrated into CI/CD pipelines. 3. Shift-Left Testing Testing is moving earlier in the development cycle to catch issues sooner. 4. Cloud-Based Testing Cloud platforms allow scalable and flexible testing environments. 5. Security-First Approach With rising cyber threats, QA testers must focus on security testing as a top priority. Explore More Tricentis QA Trends Gartner on QA
Post a Comment
Read more

Common QA Mistakes to Avoid in Software Testing

  Common QA Mistakes to Avoid in Software Testing Even experienced testers sometimes make mistakes that can delay projects or lead to software failures. Here are the most common QA mistakes and how to avoid them: 1. Starting Testing Too Late Waiting until development is complete can make bug fixing expensive. Solution: Begin testing early. 2. Lack of Test Documentation Poorly documented test cases make it hard to reproduce bugs. Solution: Maintain detailed test reports. 3. Ignoring Edge Cases Testers often check only normal scenarios. Solution: Always test boundary conditions and unusual inputs. 4. Over-Reliance on Automation Automation is powerful, but it can’t replace human judgment. Solution: Balance automation with manual testing. 5. Poor Communication with Developers Misunderstandings between QA and developers can cause repeated bugs. Solution: Encourage collaboration. Helpful Resources ISTQB Foundation: QA Practice Ministry of Testing
Post a Comment
Read more

Manual Testing vs Automation Testing: Which is Better?

  Manual Testing vs Automation Testing: Which is Better? Both manual and automation testing are essential in QA, but they serve different purposes. Manual Testing Performed by human testers without automation tools Best for exploratory testing, usability, and small projects More time-consuming and prone to human error Automation Testing Uses scripts and tools to test applications automatically Best for regression testing and large-scale projects Faster, more reliable, but requires technical skills Key Differences Speed: Automation is faster than manual testing Accuracy: Automation reduces human error Cost: Manual is cheaper for small projects; automation is cost-effective for large-scale testing Flexibility: Manual testing allows more flexibility in exploratory cases Conclusion The best QA strategy is to use a hybrid approach — manual testing for user experience and automation for repetitive tasks. Further Reading Guru99: Manual vs...
Post a Comment
Read more

Top QA Testing Tools Every Tester Should Know

  Top QA Testing Tools Every Tester Should Know Software testing is a vast field, and having the right tools can make QA more effective and efficient. Here are some of the most popular QA testing tools used by professionals worldwide: 1. Selenium Open-source automation tool Supports multiple programming languages (Java, Python, C#) Best for web application testing 2. JUnit & TestNG Popular testing frameworks for Java applications Used for unit testing and integration testing 3. JMeter Apache JMeter is widely used for performance and load testing Helps measure speed, scalability, and stability 4. Postman API testing tool Easy to use for functional and integration testing of APIs 5. Appium Automation tool for mobile app testing (Android & iOS) Supports multiple programming languages 6. Bugzilla & Jira Bug tracking and project management tools Help QA teams manage workflows effectively External Links for Learning ...
Post a Comment
Read more

QA Testing: Importance, Types, and Best Practices

  QA Testing: Importance, Types, and Best Practices Quality Assurance (QA) Testing is an essential step in the software development lifecycle. It ensures that applications are reliable, secure, and user-friendly before being released to customers. Without proper QA, businesses risk software bugs, downtime, and poor user experiences — which can ultimately hurt both reputation and revenue. What is QA Testing? QA Testing is the process of checking software to confirm that it works as expected. Testers verify whether the application meets requirements, identify bugs, and ensure smooth performance. The purpose of QA is not just to find errors, but also to improve the overall quality and reliability of the software. Why QA Testing is Important Prevents costly errors before product release Improves user trust and satisfaction Ensures security of sensitive data Saves long-term development costs Maintains brand reputation Types of QA Testing There are multiple app...
Post a Comment
Read more