Monitoring

Use the RavenDB Debug Package Analyzer in the Studio to diagnose a misbehaving cluster you cannot connect to. Read the cluster, node, and database panels of a debug package to move from symptom to cause without handling production data.

Learn how to use the RavenDB ETL Errors View in Studio to diagnose and fix ETL pipeline issues, including script errors, connection failures, and transformation problems.

Learn how to use RavenDB Studio's Cluster Dashboard, Traffic Watch, Admin Logs, and other built-in tools to diagnose and investigate database performance issues.

Deploy Zabbix with Docker, connect it to RavenDB Cloud via SNMPv3, and configure custom SNMP items to monitor ETL errors and AI task failures in real time.

Trace live and historical requests to your RavenDB cluster with Traffic Watch, Admin Logs, Studio notifications, and Audit Logs to diagnose unexpected activity and performance issues.

Track down the RavenDB index that's consuming your disk I/O using the Studio Indexing Performance view, iotop on Linux, and Resource Monitor on Windows, then optimize the culprit.

Connect RavenDB to Datadog by running the Datadog Agent in Docker and enabling OpenTelemetry, then build a CPU usage dashboard and a high-CPU alert.

Enable OpenTelemetry in RavenDB, export its metrics to Grafana Cloud through the OTLP endpoint, and build a CPU usage dashboard in Grafana.

Connect RavenDB to Power BI through the PostgreSQL protocol integration, then build charts and filter your data with queries during import to visualize your documents.

Route RavenDB 7.0 server logs to Grafana Cloud by configuring the NLog Loki target, then view and filter them in Grafana Explore.