Engineering lab
Production monitoring and observability with Prometheus and Grafana
A demonstration environment for designing service signals, dashboards, alerting paths, and operational investigation.
Technical objective
This demonstration environment explores a practical observability baseline for infrastructure and application services. It is a reference implementation rather than a claim about a specific production estate or outcome.
Architecture and approach
Prometheus collects service and host metrics. Grafana groups the most useful signals into role-oriented dashboards. Alert rules describe actionable conditions and send notifications through a defined routing path. Logs and runbook references complement the metric view during investigation.
Key implementation decisions
- Start with service-level questions before collecting every possible metric.
- Distinguish capacity signals, error signals, and symptoms of user-facing degradation.
- Pair alerts with a clear owner and an investigation starting point.
- Keep dashboards focused on a decision or operating question.
Operational and reliability considerations
Alert thresholds need review as system behaviour changes. Retention, cardinality, notification routing, and dashboard ownership are operational concerns. Observability is valuable when it reduces uncertainty during a real investigation.
Engineering reasoning
A dashboard is not evidence of reliability on its own. The useful outcome is a team that can see relevant behaviour, ask a better question, and choose the next safe action.