Application monitoring is one of the most underestimated aspects of production systems. As long as everything works, it is ignored. When a failure occurs, it is already too late.
In this article, we present a practical approach to monitoring: metrics, logs, and alerts.
Metrics – System Health in Numbers
Metrics help answer key questions:
- is the application working correctly?
- how does it respond to traffic growth?
- where are the bottlenecks?
Commonly monitored metrics include:
- response time,
- error rates,
- CPU and memory usage,
- background task queues.
Logs – Context and Details
Logs are essential for debugging:
- production errors,
- integration issues,
- unusual user behavior.
Good logs are:
- structured,
- readable,
- free of sensitive data.
Alerts – Less Is More
An alert should indicate a problem that requires action. Alerts such as:
“CPU > 80% for 30 seconds”
often lead to alert fatigue.
Better alerts focus on:
- user-facing errors,
- service unavailability,
- delays in critical processes.
Summary
Monitoring does not prevent failures, but it allows teams to respond faster and more effectively. Well-designed monitoring provides a real operational advantage.