Observability Unified Dashboard

Creating a unified observability dashboard that correlates metrics, logs, and traces involves designing cross-service views using Prometheus, Loki, and Tempo. This process generates a Grafana-ready dashboard configuration with automated correlation rules and SLO tracking.

OpenTelemetry pipeline integration with Grafana 11 works by routing collected telemetry data into unified dashboards for SLO tracking. It generates a pipeline configuration that feeds metrics, logs, and traces into Grafana, enabling cross-service correlations and alert routing.

Yes, you can use Prometheus and Loki together in a multi-data-source Grafana dashboard. This approach supports cross-service views by querying metrics from Prometheus and logs from Loki, unified through correlation rules to reduce mean time to resolution.

The best way to set up alerting and SLO tracking using Tempo and Grafana is to generate a unified dashboard configuration that includes SLO definitions and alert routing rules. This correlates traces from Tempo with metrics and logs to improve system reliability.

You do not need an existing pipeline beforehand, as the dashboard generation process includes delivering an OpenTelemetry pipeline configuration. This provides the necessary environment setup to route multi-service telemetry into Prometheus, Loki, and Tempo before visualization in Grafana 11.

Using a unified observability dashboard instead of separate monitoring tools reduces mean time to resolution by correlating metrics, logs, and traces in a single view. This eliminates manual context switching across services and provides automated correlations alongside SLO tracking and runbooks.