Stop Guessing and Start Seeing: Full-Stack Analytics for JavaScript Apps

As a JavaScript developer, I've spent countless hours staring at server logs, sifting through error reports, and sprinkling console.log statements throughout my code trying to understand why my application was slow, broken, or behaving strangely. It felt like I was always reacting, never proactively getting ahead of performance issues. Sound familiar? The problem is that modern JavaScript applications are often split across the frontend and backend, each with its own set of challenges. We might have a blazing-fast React frontend, but a sluggish Node.js API slowing everything down. Or a beautifully optimized backend, crippled by poorly performing third-party scripts in the browser. Traditional monitoring solutions often require complex configurations and multiple tools to get a complete picture. This adds overhead and makes it difficult to connect frontend user experience to backend server performance. You end up spending more time configuring and correlating data than actually solving