Monitoring & Observability Stack Diagram
Show how metrics, logs, and alerts flow from services into dashboards and on-call paging.
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A monitoring stack diagram illustrates how observability data moves from running services to actionable insight. It shows exporters and agents scraping metrics, a time-series database like Prometheus storing them, a log pipeline, dashboards in Grafana, distributed tracing, and an alerting layer that pages on-call engineers. The flow makes the path from raw telemetry to alert clear.
SREs, DevOps engineers, and platform teams use it to document observability tooling, plan alerting strategy, and onboard on-call rotations. It appears in reliability runbooks, observability proposals, and incident-readiness reviews built on stacks like Prometheus, Grafana, and Loki.
Great for
- Reliability runbooks
- Observability proposals
- On-call onboarding
- Incident readiness reviews
- SRE documentation
Frequently asked questions
What is a monitoring stack?+
A monitoring stack is the set of tools that collect, store, visualize, and alert on metrics, logs, and traces from your systems to keep them observable.
What are the components of an observability stack?+
Common components are metric exporters, a time-series database like Prometheus, a log store like Loki, dashboards in Grafana, and an alerting layer such as Alertmanager or PagerDuty.
What is the difference between monitoring and observability?+
Monitoring tracks known signals against thresholds, while observability lets you ask new questions about system state using metrics, logs, and traces together.
How do alerts reach on-call engineers?+
Alerting rules fire on metric thresholds, route through tools like Alertmanager, and page on-call staff via PagerDuty, Opsgenie, or Slack.
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