🩺 System Monitoring & Observability

You can’t improve what you can’t measure. Monitoring and observability help you understand, debug, and optimize your systems.

📊 Metrics

• What: Quantitative data (CPU, memory, requests/sec).
• Tools: Prometheus, Datadog, CloudWatch.
• Best Practices: Set up alerts for anomalies, track SLOs/SLAs.

📝 Logging

• What: Detailed records of events and errors.
• Tools: ELK stack, Loki, Splunk.
• Best Practices: Use structured logs, correlate logs with traces and metrics.

🔍 Tracing

• What: Follows requests as they travel through services.
• Tools: Jaeger, Zipkin, OpenTelemetry.
• Best Practices: Trace user requests end-to-end, identify bottlenecks.

🛠️ Dashboards & Visualization

• Grafana: Visualize metrics and logs.
• Custom Dashboards: Tailor views for different teams (ops, dev, exec).

🧠 Final Thoughts

Combine metrics, logs, and traces for a complete picture of your system’s health. Observability is not just tooling—it's a culture of proactive monitoring and rapid response.