Best Practicies: Monolithic deployment

Best Practicies: Monolithic deployment.md

Best Practice	Description
Modular architecture	Even though your application is deployed as a single unit, it should still have a clear and logical structure that separates different components and functionalities. This will make your code more readable, testable, and reusable. You can use design patterns such as MVC (Model-View-Controller), SOA (Service-Oriented Architecture), or DDD (Domain-Driven Design) to achieve modularity
Principle of separation of concerns	Each component or module of your application should have a single responsibility and a well-defined interface. This will reduce coupling and increase cohesion, which are essential for maintainability and scalability. You should also avoid mixing different types of logic, such as business logic, presentation logic, and data access logic, in the same component or module
Coding standards and conventions	Your code should be consistent, clean, and easy to understand. You should follow the best practices and guidelines for your chosen programming language and framework. You should also use meaningful names, proper indentation, comments, documentation, and code formatting tools to improve code quality
Security measures	Your application should be secure from external threats and attacks. You should use encryption, authentication, authorization, input validation, output sanitization, error handling, logging, auditing, and other techniques to protect your data and resources. You should also follow the principle of least privilege, which means that each component or module of your application should have only the minimum permissions and access rights that it needs to function
Optimize performance	Your application should be fast and responsive to meet the expectations of your users. You should use caching, compression, minification, lazy loading, batching, parallelism, concurrency, load balancing, and other techniques to improve performance. You should also avoid performance bottlenecks, such as memory leaks, database locks, network latency, or CPU-intensive operations