Metrics & Monitoring Integration
Implement metrics collection and integrate with external monitoring systems like Prometheus and Grafana for system observability.
Observability with Metrics
Welcome to Metrics & Monitoring Integration! In modern systems, understanding what's happening inside your application is crucial. This is called observability.
Observability relies on three pillars:
- Logs: Records of discrete events.
- Traces: End-to-end request flows across services.
- Metrics: Aggregated numerical data points over time.
This lesson focuses on metrics, which give you a high-level view of system health and performance trends.
Why Metrics Matter
Metrics are numerical measurements collected at regular intervals. They help you answer questions like:
- How many requests per second is my service handling?
- What's the average response time?
- How much memory is my Erlang VM using?
- Are there any errors occurring?
By tracking these over time, you can spot trends, identify bottlenecks, and react to issues proactively.
All lessons in this course
- Erlang Profiling Techniques
- Tracing & Debugging Distributed Systems
- Metrics & Monitoring Integration
- Memory Analysis & Garbage Collection Tuning