--- title: "Confluent Cloud integration for Grafana Cloud | Grafana Cloud documentation" description: "Confluent Cloud integration for Grafana Cloud The Confluent Cloud integration enables you to quickly pull in Confluent Cloud metrics to Grafana Cloud. The integration provides a number of prebuilt dashboards to help you monitor your Confluent Cloud service. No agent is required, and you can create multiple configurations called scrape jobs to organize your data." --- > For a curated documentation index, see [llms.txt](/llms.txt). For the complete documentation index, see [llms-full.txt](/llms-full.txt). # Confluent Cloud integration for Grafana Cloud The Confluent Cloud integration enables you to quickly pull in Confluent Cloud metrics to Grafana Cloud. The integration provides a number of prebuilt dashboards to help you monitor your Confluent Cloud service. No agent is required, and you can create multiple configurations called **scrape jobs** to organize your data. ## Install Confluent Cloud integration for Grafana Cloud 1. In your Grafana instance, click **Connections**. 2. Navigate to the **Confluent Cloud** tile and review the prerequisites. When you’re ready, click **Install** at the bottom of the page. 3. Create a [Cloud API key](https://docs.confluent.io/cloud/current/monitoring/metrics-api.html#metrics-quick-start) with the `MetricsViewer` role in Confluent Cloud. The key must be resource-scoped for resource management. A key scoped to a Kafka cluster causes an authentication error. To open Confluent Cloud, click **Open Confluent Cloud**. 4. Enter a name for this specific connection under **Scrape job name**. 5. Copy the API key from Confluent Cloud and paste it into **API Key**. 6. Copy the API secret from Confluent Cloud and paste it into **API Secret**. 7. Click **Test Connection**. If you encounter an error, check that you entered the right API credentials from your Confluent Cloud account, and that the API key is scoped for resource management, not for a Kafka cluster. ### Configure resource settings You must add at least one resource to the Confluent Cloud integration to save the scrape job. 1. Select the Confluent Cloud resource under **Resource Type**. 2. Copy the resource ID from Confluent Cloud and paste it into **Resource ID**. 3. When you’ve added all of the resources you want to monitor, click **Save Scrape Job**. A success page appears, and you can go to the installed dashboards. ## Dashboards After you configure the Confluent Cloud integration, prebuilt dashboards are installed in your Grafana instance to help you monitor your Confluent Cloud services. ## Managing your integration After you’ve successfully configured a scrape job, no other management is needed. Grafana Cloud manages the scraping of metrics from Confluent Cloud into Grafana Cloud. To view, edit, or delete your scrape jobs, go to **Connections** and select the **Confluent Cloud** tile. ### Resources The Confluent Cloud integration pulls in metrics from the following Confluent Cloud resources: - Kafka Cluster - Kafka Connector - KsqlDB - Schema Registry ### Metrics The following tables list the metrics for each resource. When you select a resource, its metrics are written to your Grafana Cloud instance automatically. **Kafka Cluster** Expand table | Metric Name | Labels | |------------------------------------------------------------------|---------------------------------------------------------------------------| | `confluent_kafka_server_active_connection_count` | principal\_id | | `confluent_kafka_server_cluster_link_count` | mode, link\_name, link\_state | | `confluent_kafka_server_cluster_link_destination_response_bytes` | link\_name | | `confluent_kafka_server_cluster_link_mirror_topic_bytes` | link\_name, topic | | `confluent_kafka_server_cluster_link_mirror_topic_count` | link\_name, link\_mirror\_topic\_state | | `confluent_kafka_server_cluster_link_mirror_topic_offset_lag` | link\_name, topic | | `confluent_kafka_server_cluster_link_mirror_transition_in_error` | mode, link\_name, link\_mirror\_topic\_state, link\_mirror\_topic\_reason | | `confluent_kafka_server_cluster_link_source_response_bytes` | | | `confluent_kafka_server_cluster_link_task_count` | mode, link\_name, link\_task\_name, link\_task\_reason, link\_task\_state | | `confluent_kafka_server_cluster_load_percent` | | | `confluent_kafka_server_consumer_lag_offsets` | topic, consumer\_group\_id | | `confluent_kafka_server_hot_partition_egress` | topic | | `confluent_kafka_server_hot_partition_ingress` | topic | | `confluent_kafka_server_partition_count` | | | `confluent_kafka_server_received_bytes` | topic | | `confluent_kafka_server_received_records` | topic | | `confluent_kafka_server_request_bytes` | type, principal\_id | | `confluent_kafka_server_request_count` | type, principal\_id | | `confluent_kafka_server_response_bytes` | type, principal\_id | | `confluent_kafka_server_rest_produce_request_bytes` | | | `confluent_kafka_server_retained_bytes` | topic | | `confluent_kafka_server_sent_bytes` | topic | | `confluent_kafka_server_sent_records` | topic | | `confluent_kafka_server_successful_authentication_count` | principal\_id | **Kafka Connector** Expand table | Metric Name | Labels | |-----------------------------------------------------|--------| | `confluent_kafka_connect_dead_letter_queue_records` | | | `confluent_kafka_connect_received_bytes` | | | `confluent_kafka_connect_received_records` | | | `confluent_kafka_connect_sent_bytes` | | | `confluent_kafka_connect_sent_records` | | **KsqlDB** Expand table | Metric Name | Labels | |------------------------------------------------|------------------------------------| | `confluent_kafka_ksql_committed_offset_lag` | task\_id, query\_id, topic | | `confluent_kafka_ksql_consumed_total_bytes` | query\_id | | `confluent_kafka_ksql_offsets_processed_total` | task\_id, query\_id, topic | | `confluent_kafka_ksql_processing_errors_total` | query\_id | | `confluent_kafka_ksql_produced_total_bytes` | query\_id | | `confluent_kafka_ksql_query_restarts` | query\_id | | `confluent_kafka_ksql_query_saturation` | query\_id | | `confluent_kafka_ksql_storage_utilization` | | | `confluent_kafka_ksql_streaming_unit_count` | | | `confluent_kafka_ksql_task_stored_bytes` | ksql\_node\_id, task\_id,query\_id | **Schema Registry** Expand table | Metric Name | Labels | |-----------------------------------------------------------|----------------| | `confluent_kafka_schema_registry_num_deks` | | | `confluent_kafka_schema_registry_num_keks` | | | `confluent_kafka_schema_registry_num_keks_shared` | | | `confluent_kafka_schema_registry_request_count` | | | `confluent_kafka_schema_registry_schema_count` | | | `confluent_kafka_schema_registry_schema_operations_count` | method, status |