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On the day people started Googling “Cloudflare down”, millions of users noticed something strange: major platforms simply stopped loading. Sites like Spotify, LinkedIn, OpenAI/ChatGPT, Perplexity, IKEA, and Twitter were suddenly unreachable. So what happened? In simple terms:A core part of the internet’s infrastructure went offline. Cloudflare—one of the biggest networks that helps websites stay fast, […]

In 2026, data analytics continues to be one of the most in-demand and future-proof career paths in technology. As companies increasingly rely on data-driven decision-making, skilled data analysts are becoming essential for business growth. From e-commerce and finance to healthcare and logistics, organizations use data analytics to uncover trends, optimize performance, and improve customer experiences.

In the fast-evolving world of software development, automation testing continues to play a critical role in ensuring product quality and speed of delivery. Among all automation testing tools, Selenium remains the most sought-after framework for web application testing. As we move into 2026, the demand for Selenium experts is higher than ever, driven by the

Python has become the dominant language of data science. Its simplicity, rich ecosystem of libraries, and wide adoption across industry make it the first choice for aspiring data scientists. But here’s the real question many ask in 2025:👉 Can you become a data scientist with just Python? The answer: Python is an excellent starting point,

In today’s data-driven economy, the database is the backbone of every digital system. From ecommerce checkouts to AI-powered recommendation engines, a database ensures data is stored, retrieved, and analyzed effectively. For data analysts and engineers, knowing the types of databases, their use cases, advantages, and limitations is critical in building scalable analytics solutions. This is