Prometheus and Grafana, on the other hand, provide a playground for creating dashboards pertaining to ad hoc needs, with aggregations from various systems. Monitoring Your Event Streams: Tutorial for Observability Into Apache Kafka ClientsĬonfluent Control Center provides a UI with “most important” metrics and allows teams to quickly understand and alert on what’s going on with the clusters.Monitoring Your Event Streams: Integrating Confluent with Prometheus and Grafana (this article).Then this two-part blog series is for you: Can I configure some Grafana dashboards for Confluent clusters?.What if I could correlate this service’s data spike with metrics from Confluent clusters in a single UI pane?.Can I export JMX data from Confluent clusters to my monitoring system with minimal configuration?.If you’ve ever asked a question along these lines:
However, sometimes, you might also like to import monitoring data into a third-party metrics aggregation platform for service correlations, consolidated dashboards, root cause analysis, or more fine-grained alerts. That’s why operators prefer tooling such as Confluent Control Center for administering and monitoring their deployments. Self-managing a highly scalable distributed system with Apache Kafka ® at its core is not an easy feat.
