Potta Vijay Kumar

In today’s connected world, APIs are the backbone of modern applications. But with growing user bases and interconnected services, the risk of server overload, abuse, or system crashes becomes real. That’s where rate limiting and throttling step in — to ensure performance , security , and fair usage . What Is API Rate Limiting? API rate limiting controls how many requests a client can make to an API within a specific time frame . It helps prevent abuse (like DDoS attacks), ensures fair access among users, and safeguards infrastructure from being overwhelmed. Example: A public API may allow 1000 requests per hour per user. After that, users receive a 429 Too Many Requests error until the limit resets. What Is API Throttling? Throttling is a dynamic form of rate limiting. Instead of outright rejecting requests, it slows down or queues them when usage exceeds safe thresholds. It ensures graceful degradation rather than abrupt denial. Key Differences Minimize image Edit image Delete ...

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...

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 ...

  In today’s hyper-connected world, users expect real-time interactions—whether it's chatting with support, receiving stock updates, or tracking delivery in motion. Traditional HTTP was never built for this level of immediacy. Enter WebSockets —the game-changer for real-time, two-way communication between clients and servers. What are WebSockets? WebSockets are a protocol that enables persistent, full-duplex communication between the client and the server over a single TCP connection. Unlike HTTP, which is request-response based, WebSockets allow data to flow freely both ways without repeatedly opening new connections. How WebSockets Work Handshake : It starts with an HTTP request to initiate the WebSocket connection. Upgrade : If the server accepts, the protocol switches from HTTP to WebSocket. Persistent Connection : Once established, both the client and server can send data at any time. WebSockets vs. HTTP Polling Use Cases of WebSockets...