Executive Summary: Centralizing server logs with Grafana Loki, setting up error tracking alerts via Sentry, and monitoring system metrics with Prometheus.
Without centralized logging and real-time error tracking, diagnosing production issues across multiple microservices is nearly impossible.
1. Metrics (Prometheus & Grafana): CPU, RAM, disk I/O, network throughput, and API response time percentiles (p95, p99).
2. Logs (Grafana Loki & Promtail): Centralized log aggregation allowing developers to search logs across all server instances simultaneously.
3. Traces (Sentry / OpenTelemetry): Distributed tracing tracking an HTTP request's execution path across multiple microservice boundaries.
Set up automated Discord/Slack and PagerDuty notifications for unhandled 5xx server exceptions or CPU usage exceeding 90% for over 5 minutes.
1. The Observability Triad
1. Metrics (Prometheus & Grafana): CPU, RAM, disk I/O, network throughput, and API response time percentiles (p95, p99).
2. Logs (Grafana Loki & Promtail): Centralized log aggregation allowing developers to search logs across all server instances simultaneously.
3. Traces (Sentry / OpenTelemetry): Distributed tracing tracking an HTTP request's execution path across multiple microservice boundaries.
2. Alert Escalation
Set up automated Discord/Slack and PagerDuty notifications for unhandled 5xx server exceptions or CPU usage exceeding 90% for over 5 minutes.