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...

  Modern web development increasingly relies on high-performance, scalable, and developer-friendly tools. One powerful combination that's gaining popularity is pairing Next.js for the frontend with FastAPI on the backend. Together, they enable developers to build full-stack applications that are fast, secure, and maintainable. In this blog, we’ll explore how and why this combo works so well, and walk through an architecture that supports scale and performance. Why Next.js + FastAPI? Next.js (Frontend) React-based framework offering server-side rendering (SSR), static site generation (SSG), and full routing. Built-in image optimization , API routes, and file-based routing. Perfect for SEO , fast page loads, and a smooth user experience. FastAPI (Backend) Python-based, high-performance framework for building APIs with automatic validation and documentation. Supports async out of the box and is ideal for microservices or real-time backen...

  In recent years, Python has continued to dominate the world of web development due to its simplicity, readability, and vibrant ecosystem. While frameworks like Django and Flask have long held the spotlight, a newer contender—FastAPI—is taking the developer community by storm. Built for high-performance APIs with modern Python features, FastAPI is redefining how backend development is done. But what makes it so special? And why is it widely considered the future of Python web development ? Let’s dive in. What is FastAPI? FastAPI is a modern, high-performance web framework for building APIs with Python 3.7+ based on standard Python type hints. Created by Sebastián Ramírez , it leverages Starlette for the web layer and Pydantic for data validation. From its intuitive syntax to blazing-fast response times, FastAPI is designed for speed, developer happiness, and production-ready scalability. Key Features of FastAPI 1. Blazing Fast Performance FastAP...