Monitoring & Observability
Monitoring & Observability
Our cloud infrastructure is now built automatically. Virtual machines are running. Databases are online. Applications are serving thousands of users. Everything looks perfect... Until one day, your website becomes slow. Customers start complaining. But no one knows why. Is the CPU overloaded? Is the database struggling? Did a server run out of memory? Did an application crash? The engineering problem became obvious. How do we continuously monitor the health of an entire cloud application? The engineering concept that solved this problem is Monitoring and Observability. Every component continuously reports its health—CPU usage, memory consumption, network traffic, application logs, errors and response times. When something crosses a predefined threshold, engineers are alerted immediately, often before customers even notice a problem. Instead of reacting after failures, teams can detect, diagnose and resolve issues proactively. Amazon Web Services provides this through Amazon CloudWatch. Microsoft Azure provides Azure Monitor. Google Cloud provides Cloud Monitoring. Different names. One engineering concept. Applications became measurable instead of mysterious. Engineers could finally answer not just what failed, but also why it failed. But another challenge quickly followed. If hundreds of people use the cloud... who should be allowed to do what?