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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). ...
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which one is angular vs react google trends??

To compare the popularity of Angular and React using Google Trends, you can go to the Google Trends website (https://trends.google.com) and enter both search terms in the search bar. 

Here is a comparison of the two terms over the past 12 months in the worldwide search:

Angular: 

https://trends.google.com/trends/explore?date=today%2012-m&geo=US&q=angular React: https://trends.google.com/trends/explore?date=today%2012-m&geo=US&q=react As of February 2023, 
according to Google Trends, 

React is more popular than Angular in worldwide search interest
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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
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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). ...
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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
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