Pattinson Development

Tech Stack

• Backend
  • Code Quality: Use code analysis tools like SonarQube to identify and fix code smells, technical debt, and security vulnerabilities.
  • Security: Implement security measures like data encryption, user authentication, and authorization. Consider using tools like Azure Key Vault to securely store and manage its application's secrets.
  • Performance: Optimize its code and database queries for speed and scalability. Use profiling tools like ANTS Performance Profiler to identify and fix performance issues.
  • Testing: Implement automated testing for its code to ensure that it meets requirements and performs as expected. Use tools like NUnit or xUnit for unit testing.
• .NET 6
  Update to the latest version of .NET 6 to take advantage of the latest features and performance improvements.
• NHibernate ORM for data access
  Use NHibernate best practices for data access, including using the second-level cache, avoiding lazy-loading, and optimizing queries.
• SQL Server or any other supported database management system (DBMS)
  Use SQL Server best practices for database management, including indexing, partitioning, and optimization.
• SignalR for real-time communication
  Use SignalR for real-time communication between the server and clients. This could include features like chat, notifications, or live updates.
• Restful API for client-server communication
  Use Restful API for client-server communication, providing a uniform interface and stateless interactions between the client and server.

• Frontend
  • Code Quality: Use code analysis tools like ESLint to identify and fix code smells, technical debt, and security vulnerabilities.
  • Security: Implement security measures like data encryption and user authentication. Consider using tools like Azure Active Directory to manage user authentication and authorization.
  • Performance: Optimize its code and assets for speed and scalability. Use tools like Webpack to bundle and optimize assets.
  • Testing: Implement automated testing for its code to ensure that it meets requirements and performs as expected. Use tools like Jest or Cypress for end-to-end testing and Enzyme or React Testing Library for unit testing.
• Razor Pages or MVC for server-side rendering
  Use best practices for server-side rendering, including caching, partial rendering, and client-side hydration.
• Parcel for task automation and bundling
  Use best practices for task automation and bundling, including minification, tree shaking, and code splitting.
• SASS for styling
  Use best practices for styling, including responsive design, modular architecture, and accessibility.

• Deployment
  • Cloud Platform: Deploy the application to Azure, taking advantage of its robust infrastructure and services like App Service, Azure SQL Database, and Azure Key Vault.
  • Continuous Integration and Deployment: Use a CI/CD pipeline like AppVeyor to automate the build, test, and deployment process. This helps ensure that code changes are properly tested and validated before being released to production.
• Azure
  Use Azure best practices for cloud infrastructure, including scalability, availability, and security.
• AppVeyor for automated deployments
  Use Git best practices for version control, including branching, merging, and code review. Use tools like Bitbucket to manage its code repositories and collaborate with other developers.
• Git
  • Version Control: Use Git for version control to manage code changes and branches.
  • Branching Model: Use Gitflow for managing branches and releases in Git. This provides a structured approach to managing branches and releases, with two main branches (master and develop) and feature, release, and hotfix branches used to manage the development process.