Skip to main content

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

are devops engineers in demand?

Yes, DevOps engineers are in high demand in the tech industry. DevOps is a field that focuses on improving the collaboration and communication between software developers and IT professionals, with the aim of delivering software products and services more quickly and reliably. 

The demand for DevOps engineers is driven by the increasing adoption of cloud computing, agile development practices, and automation tools in software development. 

DevOps engineers are needed to design, build, and manage the tools and systems that enable fast and efficient software delivery, as well as to maintain and optimize these systems over time. According to various reports, the demand for DevOps engineers has been steadily increasing in recent years, and many companies are struggling to find qualified candidates to fill these roles. This has resulted in high salaries and a competitive job market for experienced DevOps engineers.
Labels:

Comments

Post a Comment

My Blog

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

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

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