Author: Arunangshu Das
Arunangshu Das
Trust me, I'm a software developer—debugging by day, chilling by night.
In today’s era of globally connected applications, designing APIs that can handle millions of concurrent users is no longer a luxury; it’s a necessity. Node.js, with its non-blocking I/O and scalability features, is a powerful choice for building such APIs. Why Choose Node.js for High-Concurrency APIs? Non-blocking I/O: Node.js’s event-driven model makes it perfect for handling multiple concurrent requests without thread-blocking.High Performance: The V8 engine compiles JavaScript to machine code, ensuring speedy execution.Rich Ecosystem: A large npm library simplifies building and scaling applications. Architecture Planning A scalable architecture is foundational for managing high traffic. Consider the following: 1. Microservices Break…
In today’s mobile-first world, ensuring that your website works seamlessly across all devices is crucial. Responsive web design isn’t just a buzzword—it’s a necessity. Chrome DevTools, a powerful suite of developer tools built into the Google Chrome browser, makes testing and optimizing for responsive design incredibly efficient. 1. Accessing Device Mode Open Chrome DevTools (Ctrl+Shift+I on Windows/Linux, Cmd+Option+I on macOS). Click on the Toggle Device Toolbar icon (or press Ctrl+Shift+M/Cmd+Shift+M). This enters the device mode, allowing you to emulate different devices like smartphones, tablets, and desktops. Pro Tip: Customize the device list to include specific devices you’re targeting. 2. Adding…
In today’s fast-paced digital world, website performance is critical. A slow website can lead to higher bounce rates, lower search engine rankings, and frustrated users. Luckily, Chrome DevTools offers a powerful suite of features to identify and resolve performance bottlenecks. 1. Audit Your Website with Lighthouse The Lighthouse tool in Chrome DevTools provides a comprehensive performance report, including metrics like First Contentful Paint (FCP), Time to Interactive (TTI), and Largest Contentful Paint (LCP). Steps: Open DevTools (Ctrl+Shift+I or Cmd+Option+I on Mac). Navigate to the Lighthouse tab. Choose the performance category and generate a report. Key Actions: Address issues like render-blocking…
Chrome DevTools is a powerhouse for developers, packed with tools to debug, test, and optimize code. But even seasoned developers sometimes miss out on time-saving shortcuts that can make their workflow significantly more efficient. 1. Quick Access to DevTools Shortcut: Ctrl + Shift + I (Windows/Linux) or Cmd + Option + I (Mac) Instantly open Chrome DevTools without navigating through menus. Pair it with Ctrl + Shift + J (Windows/Linux) or Cmd + Option + J (Mac) to jump directly to the Console tab. 2. Element Selection on the Fly Shortcut: Ctrl + Shift + C (Windows/Linux) or Cmd +…
Debugging is an essential skill for every developer, and when it comes to JavaScript, Chrome DevTools is one of the most powerful tools at your disposal. Whether you’re dealing with unexpected errors or trying to optimize your code, DevTools provides a suite of features that can make your life easier. Why Use Chrome DevTools? Pros: Free and Built-In: Chrome DevTools is available in the Chrome browser, eliminating the need for additional software. Feature-Rich: It offers a variety of tools for debugging, performance analysis, and even design tweaks. Live Editing: You can make changes directly in the browser and see the…
Chrome DevTools is an indispensable tool for web developers, offering far more than just the basic console log outputs and DOM inspection. Beneath its surface lies a treasure trove of hidden features that can dramatically boost your productivity and debugging prowess. Let’s uncover 10 lesser-known gems that every developer should know. 1. Command Menu for Quick Access Press Ctrl + Shift + P (Windows) or Cmd + Shift + P (Mac) to open the Command Menu. This acts as a search bar for DevTools, allowing you to access nearly any tool or feature by typing its name. Whether it’s enabling…
Node.js has been a favorite in the tech community for over a decade, known for its ability to efficiently manage concurrent connections and power high-performance applications. However, one pressing question persists: Can Node.js handle millions of users? The short answer is yes, but the reality is nuanced. While Node is inherently scalable, its performance at such a scale depends on how well the application is designed, optimized, and managed. Why Node.js Excels at Handling Traffic Node architecture is its superpower. Unlike traditional server frameworks that create a new thread for each connection, Node employs an event-driven, non-blocking I/O model. This…
As we approach 2025, I’ve been reflecting on the programming habits I’ve built over the years. Some have propelled me forward, while others… well, let’s just say they’ve cost me hours I’ll never get back. This year, I decided to tackle these bad habits head-on with 10 challenges that pushed me out of my comfort zone. Why am I sharing this? Because I know I’m not alone. If you’re a developer looking to grow and work smarter in 2025, I invite you to join me in taking on these challenges. Challenge #1: Master the Debugger “Console.log” was my lifeline. Every…
Scaling is essential for database management, especially as businesses grow and handle increasing volumes of data. To ensure databases can handle more traffic, we need to understand how scaling works. There are two primary methods: horizontal scaling and vertical scaling. Each has its own approach, benefits, and challenges. Here’s a breakdown of how databases scale and the differences between these two strategies. 1. What is Database Scaling? Database scaling is the process of adjusting the infrastructure that supports a database to improve its performance, handle more traffic, and accommodate larger datasets. As databases handle increasing requests from applications or users,…
In the realm of database management, the concept of indexing plays a crucial role in ensuring fast, efficient data retrieval. Indexing is a technique that enables databases to locate and access data quickly, which is essential as data sets grow. Without indexing, databases would need to scan each record sequentially, leading to significant delays. Understanding Database Indexing At its core, database indexing is a data structure that improves the speed of data retrieval operations on a database table at the cost of additional storage space and maintenance overhead. An index is essentially a copy of a database column (or columns)…