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Showing posts with the label SoftwareArchitecture

Role-Based Access Control (RBAC) vs. Attribute-Based Access Control (ABAC): What You Need to Know

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In today’s security-driven software landscape, controlling access to resources is crucial. Two dominant access control models— RBAC and ABAC —help teams manage permissions, but they differ significantly in flexibility, complexity, and use cases. Let’s dive into what sets them apart and when to use each. What is Role-Based Access Control (RBAC)? RBAC assigns permissions to users based on roles they belong to (e.g., Admin, Editor, Viewer). Pros: Simple and easy to manage Scalable for small to mid-sized teams Industry-standard for enterprise apps Cons: Limited flexibility Role explosion in complex systems Example: A user with the "Manager" role can view and edit employee records but cannot delete them. What is Attribute-Based Access Control (ABAC)? ABAC evaluates user attributes , resource attributes, and environmental conditions (e.g., time, location) to determine access. Pros: Highly flexible and fine-grained Context-aware security Better suited for dynamic or multi-tenant ...

Implementing Microservices with Front-End & Back-End Separation

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In today’s landscape of scalable and modular software development, microservices have emerged as the go-to architecture for building complex applications. One of the key advantages of microservices is the clean separation of concerns — especially between the front-end and the back-end. This separation enables faster development, improved maintainability, and seamless scalability. What Are Microservices? Microservices are small, independently deployable services that communicate over lightweight protocols like HTTP or messaging queues. Each microservice is responsible for a specific business function and can be built using different languages, databases, or frameworks — making the system highly modular. Front-End and Back-End Separation Separating the front-end from the back-end in a microservices architecture involves: Creating a standalone front-end application (SPA or MPA) that consumes APIs exposed by individual microservices. Ensuring each microservice pro...

Server-Sent Events (SSE) vs. WebSockets vs. Polling: Choosing the Right Real-Time Solution

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Source : https://github.com/pottavijay/realtime-communication-app In today’s world of dynamic and interactive applications, real-time communication between the client and server is essential. Whether you're building a chat app, live dashboard, or stock ticker, how you deliver data matters — a lot. Three popular strategies dominate the landscape: Polling Server-Sent Events (SSE) WebSockets But how do you decide which one to use? Let’s explore each, compare them, and see where they fit best! 1. Polling What is Polling? Polling is the simplest method: the client sends HTTP requests at regular intervals asking, "Any updates?" Pros: Simple to implement Works everywhere (great browser support) No persistent connection needed Cons: High server load (lots of redundant requests) Latency between updates Inefficient for truly real-time apps Use When: Data updates are infrequent Real-time experience ...

Backend-for-Frontend (BFF) Pattern for Front-End Scalability

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  As front-end applications grow more complex and diversified—spanning web, mobile, and even smart devices—the demand for optimized, personalized, and efficient back-end communication becomes paramount. This is where the Backend-for-Frontend (BFF) design pattern steps in. In this article, we’ll explore what the BFF pattern is, why it matters, and how it can help front-end scalability. What is the BFF Pattern? Backend-for-Frontend (BFF) is a software architectural pattern where each front-end interface (web, mobile, etc.) has its own tailored backend service. Instead of having a single backend API that serves all clients, the BFF acts as a middle layer between the client and backend services, tailored to the specific needs of each front-end. In short: One frontend → One BFF → Backend services Why Use a BFF? Here’s why the BFF pattern has become increasingly relevant: Frontend-Specific Logic : Front-ends often need data formatted differently....

GraphQL vs. REST: When to Use What?

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As APIs continue to be the backbone of modern web and mobile applications, developers are often faced with a key decision: GraphQL or REST ? While both serve the purpose of data exchange between client and server, they do so in fundamentally different ways. So how do you choose the right one for your project? Let’s explore both technologies, their strengths and weaknesses, and when to use what. What is REST? REST (Representational State Transfer) is an architectural style that uses HTTP methods like GET, POST, PUT, and DELETE to interact with resources. It has been the de facto standard for APIs for years. Pros of REST: Simplicity: Easy to understand and implement. Stateless: Each request contains all necessary information, enhancing scalability. Wide Adoption: Mature ecosystem, tools, and support. Caching: HTTP-level caching is straightforward. Cons of REST: Over-fetching/Under-fetching: Clients often receive too much or too little dat...