Alert enrichment, a new feature in public preview in Grafana Cloud, lets you attach meaningful, actionable alerts before they reach responders.

Grafana is an open-source analytics and monitoring platform that allows users to visualize and analyze metrics from various data sources. The Grafana blog covers topics such as data visualization, monitoring best practices, and new features in Grafana software. Developers and data engineers can learn how to leverage Grafana for monitoring infrastructure, analyzing performance metrics, and creating interactive dashboards for data-driven decision-making.

Grafana Labs

Grafana Cloud has introduced alert enrichment, a new public preview feature for Grafana Alerting that attaches contextual information to alerts before they reach on-call responders. Instead of bare signals like 'CPU usage is high,' enriched alerts can include relevant log lines, AI-powered explanations, links to dashboards, automated ML investigations via Sift or Assistant, dynamic templated annotations, and data fetched from external APIs or data sources like Loki and Mimir. Seven enricher types are available: Assign, External, Datasource, Sift, Knowledge Graph, Explain, and Assistant. Enrichments can be scoped per alert rule or applied globally across all alerts by label/annotation filters. The goal is to automate the first triage steps so engineers can focus on resolution rather than context-gathering.

Grafana Alerting: Respond faster and get situational awareness with alert enrichment in Grafana Cloud