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FullstackCodingGuy edited this page Aug 12, 2024 · 10 revisions

Welcome to the Developer-Nuances wiki!

This repo hosts education content for the developers who focuses on UI, API, Database areas.

Emerging Software Design Trends

  • Micro Frontends

    Micro frontends are a way of breaking down a complex web application into smaller, independent, and modular units that can be developed, deployed, and updated by different teams. This approach enables faster delivery, better scalability, and more flexibility in choosing the best technologies and frameworks for each part of the user interface.

  • Serverless Architecture

    Serverless architecture is a way of building and running software applications without having to manage, provision, or scale servers. Instead, you use a cloud service provider that handles the execution, availability, and security of your code. This way, you only pay for the resources you consume, and you can focus on the business logic and functionality of your application. Serverless architecture also enables faster development, easier deployment, and greater scalability and reliability. However it comes with below challenges

    • Vendor Lock-In - Heavy reliance on specific cloud providers limits flexibility and future migration options.
    • Debugging and Monitoring - Traditional tools are less effective, requiring new approaches for these tasks.
    • Security Risks - Increased endpoints and reliance on third-party services can expand the attack surface.
    • Statelessness - Managing state across stateless functions adds complexity, especially for stateful applications.
    • Performance Constraints - Limitations on execution time, memory, and processing power can hinder compute-intensive tasks.
    • Cost Predictability - Variable usage patterns can lead to fluctuating and unpredictable costs.

  • Event-driven Architecture

    Event-driven architecture is a way of designing software applications that respond to events, which are changes in the state of the system or the environment. Events can be generated by users, devices, services, or other sources, and they trigger actions or reactions in the application. Event-driven architecture allows you to create more responsive, resilient, and adaptable software systems that can handle complex and dynamic scenarios, such as real-time data processing, asynchronous communication, and distributed transactions. This design also bring some challenges

    • Complexity: Managing and tracking a multitude of events can become super complex.
    • Debugging and Testing: Tracing and diagnosing issues in asynchronous, distributed systems is more challenging than in traditional architectures.
    • Event Storms: High volumes of events can overwhelm systems, leading to performance bottlenecks.
    • Event Consistency: Ensuring consistent event processing across distributed systems can be difficult.
    • Latency: In some cases, the asynchronous nature of EDA can introduce latency in event processing.

  • Domain-driven Design

    Domain-driven design is a way of modeling software applications based on the domain, which is the problem space and the business context of the software. Domain-driven design helps you to understand the needs and expectations of your users, and to create a common language and a shared vision among your team and stakeholders. Domain-driven design also helps you to structure your code and architecture around the core concepts and logic of the domain, and to avoid unnecessary complexity and technical debt.

  • Hexagonal Architecture

    Hexagonal architecture is a way of organizing software applications into three layers: the core, the adapters, and the ports. The core layer contains the business logic and the domain model of the application. The adapters layer contains the code that connects the core to the external systems, such as databases, web services, or user interfaces. The ports layer defines the interfaces and contracts between the core and the adapters. Hexagonal architecture enables you to isolate the core from the dependencies and changes in the external systems, and to test, maintain, and reuse the core more easily.

  • AI-driven development

    • Predictive UX: AI can personalize user experiences, like Netflix's tailored recommendations.
    • Performance Optimization: AI can manage server loads for efficiency, crucial in high-traffic scenarios.
    • Code Refactoring: Tools like GitHub's Copilot automate code optimization. How did we live without it?
    • Bug Prediction: AI can identify and suggest fixes for potential bugs.
    • Resource Efficiency: AI, as used by Google's DeepMind, can optimize resource use, reducing costs.
    • Security: AI can detect and prevent potential security threats.

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