Monitoring &
Observability Stack
Full-stack observability with Prometheus, Grafana, and Loki. Metrics, logs, and alerts unified into a single pane of glass for production visibility.
The Three Pillars of Observability
Metrics tell you something is wrong. Logs tell you what happened. Traces tell you where. Together, they give you full production visibility.
Metrics
Numeric time-series data — CPU, memory, request rates, error rates, latency percentiles. The heartbeat of your system.
Logs
Structured and unstructured event records from every container. Queryable with LogQL for deep incident investigation.
Visualization
Unified dashboards connecting all data sources. From high-level SLO tracking to per-pod debug views.
Stack Components
Time-series metrics scraping from all services, nodes, and Kubernetes components. Custom recording rules and alerting rules.
Rich dashboards for infrastructure, application, and business metrics. Unified view across Prometheus, Loki, and Tempo.
Horizontally scalable log aggregation. Promtail agents ship logs from all pods. LogQL queries for deep log analysis.
Deduplication, grouping, and routing of alerts to Slack, PagerDuty, and email. Silences and inhibition rules.
DaemonSet-deployed log shipper that tails container logs and forwards to Loki with Kubernetes metadata labels.
Exposes Kubernetes object state as Prometheus metrics — deployments, pods, nodes, PVCs, and more.