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Foundations#

  • SOLID
  • DRY (Don't Repeat Yourself)
  • KISS (Keep It Simple, Stupid)
  • YAGNI (You Ain't Gonna Need It)
  • Composition over Inheritance
  • Design Patterns
  • Modularity
  • Separation of Concerns
  • Abstraction, Encapsulation
  • Loose Coupling, High Cohesion
  • Scalability, Performance Optimization
  • Security
  • Testability
  • Documentation
  • Clean Code
  • Max 8-9 subfolders and 3-4 levels of nexting in folders
/components|-- /ComponentA|   |-- /Subcomponent1|   |   |-- /Subcomponent1.1|   |   |   |-- /Subcomponent1.1.1|   ||   |-- /Subcomponent2|   |-- /Subcomponent3|   |-- /Subcomponent4|   |-- /Subcomponent5|   |-- /Subcomponent6|   |-- /Subcomponent7|   |-- /Subcomponent8

Frontend#

  • Server-Side Rendering (SSR) and Client-Side Rendering (CSR)
  • Event-Driven Architecture: Design the system to communicate and respond through events and messages, enabling loose coupling and scalability.
  • Service-Oriented Architecture (SOA): Organize the system into reusable, interoperable services that provide specific functionalities. This promotes modularity and flexibility.
  • Layered Architecture: Divide the system into distinct layers (e.g., presentation, business logic, data access) to manage complexity and promote separation of concerns.
  • Domain-Driven Design (DDD): Focus on modeling the domain and its associated behaviors closely in the software architecture, leading to a more meaningful and maintainable design.
  • Monitoring and Observability: Design the system with built-in monitoring and logging capabilities to gain insights into its behavior and performance.
  • Consistency: Maintain a consistent design and naming conventions throughout the system to enhance understandability and reduce confusion.
  • Refactoring: Continuously improve the architecture through refactoring to eliminate technical debt and ensure alignment with changing requirements.
  • Fault Tolerance and Resilience: Build the system to handle failures gracefully, ensuring that it can recover and continue operating in the presence of errors.
  • Security by Design: Integrate security measures into the architecture from the beginning, considering authentication, authorization, encryption, and other security aspects.
  • Automated Testing: Implement automated testing at various levels (unit, integration, end-to-end) to maintain code quality and catch regressions early in the development cycle.
  • Globalization and Localization: Design the architecture to support internationalization (i18n) and localization (l10n) for diverse user bases.
  • Prevent Cyclic Dependencies

Deployment#

  • Deployment Patterns: Explore various deployment patterns, such as blue-green deployments, canary releases, and feature toggles, to safely introduce changes and updates.
  • Continuous Integration and Continuous Deployment (CI/CD): Incorporate CI/CD practices to automate the building, testing, and deployment of the software, ensuring faster and more reliable releases.
  • Elastic Load Balancing: Distribute incoming traffic across multiple instances or services to optimize resource usage and ensure responsiveness.
  • Zero-Downtime Deployment: Design deployment strategies that minimize or eliminate service downtime during updates or changes.

Backend#

  • Microservices Architecture: Break down the system into small, independently deployable services that communicate through APIs. This allows for better scalability and agility.
  • Monolithic Architecture: For smaller projects or when complexity doesn't warrant microservices, a monolithic architecture can simplify development and deployment.
  • Caching
  • Concurrency and Parallelism: Address the handling of multiple concurrent tasks and processes to ensure efficient resource utilization and responsiveness.
  • Database Design Principles: When dealing with databases, consider principles like normalization, denormalization, indexing, and query optimization to ensure efficient data storage and retrieval.
  • API-First Design: Prioritize the design of clear and well-documented APIs before implementing the underlying functionality. This promotes good communication between different parts of the system and with external components.
  • Distributed Systems Principles: When working with distributed systems, consider principles like consistency, availability, and partition tolerance (CAP theorem) to make informed trade-offs.
  • Message Queues and Brokers: Implement message queues (e.g., RabbitMQ, Apache Kafka) to enable asynchronous communication between different components of the system.
  • Cloud-Native Architecture: Design applications to take full advantage of cloud services, elasticity, and scalability.
  • GraphQL: Use GraphQL as an alternative to RESTful APIs, allowing clients to request exactly the data they need and reducing over-fetching or under-fetching.
  • Polyglot Persistence: Use multiple types of databases or storage technologies (e.g., relational, NoSQL) to store different types of data according to their characteristics and requirements.
  • API Gateways: Implement an API gateway to manage and optimize the interactions between clients and multiple microservices.
  • Gateway Pattern: Use a gateway to manage communication and interactions between different parts of the system or between the system and external services.