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docs/integrations/saas-cloud/confluent-cloud.md

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@@ -36,8 +36,9 @@ import AppInstall from '../../reuse/apps/app-install-v2.md';
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### Confluent Cloud - Compute Pool
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The **Confluent Cloud - Compute Pool** dashboard provides details on the status and utilization of compute resources in your Confluent Cloud environment. Use this dashboard to:
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The **Confluent Cloud - Compute Pool** dashboard provides details on the status and utilization of compute resources in your Confluent Cloud environment.
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Use this dashboard to:
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* Monitor the average Flink statement status to identify potential issues with stream processing jobs.
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* Track CPU utilization against the set limit to ensure optimal resource allocation and prevent performance bottlenecks.
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* Analyze trends in CPU minutes consumed over time to optimize cost and capacity planning for your Confluent Cloud deployment.
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### Confluent Cloud - Connectors
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Confluent Cloud - Connectors dashboard provides details on the status, performance, and health of Confluent Cloud connectors.
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The **Confluent Cloud - Connectors** dashboard provides details on the status, performance, and health of Confluent Cloud connectors.
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Use this dashboard to:
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* Monitor the status of connectors and their tasks to quickly identify any that are failed, paused, or provisioning.
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### Confluent Cloud - Kafka Cluster
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Confluent Cloud - Kafka Cluster dashboard provides details on key performance metrics and operational statistics for your Kafka cluster in Confluent Cloud.
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The **Confluent Cloud - Kafka Cluster** dashboard provides details on key performance metrics and operational statistics for your Kafka cluster in Confluent Cloud.
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Use this dashboard to:
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* Monitor producer latency and cluster load to ensure optimal performance of your Kafka cluster.
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### Confluent Cloud - Kafka Cluster Links
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Confluent Cloud – Kafka Cluster Link dashboard provides key insights into cluster link performance and health. It tracks link task counts, mirror topic states, offset lags, data volume, and response metrics—helping monitor cross-cluster replication efficiency, detect mirror errors, and ensure seamless data delivery across environments.
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The **Confluent Cloud – Kafka Cluster Link** dashboard provides key insights into cluster link performance and health. It tracks link task counts, mirror topic states, offset lags, data volume, and response metrics—helping monitor cross-cluster replication efficiency, detect mirror errors, and ensure seamless data delivery across environments.
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Use this dashboard to:
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* Monitor link counts and task activity to ensure proper setup and functioning of cluster replication.
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### Confluent Cloud - Kafka Cluster Topic
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Confluent Cloud - Kafka Cluster Topic dashboard provides details on topic-level metrics for Kafka clusters in Confluent Cloud, including consumer lag, data throughput, and partition information.
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The **Confluent Cloud - Kafka Cluster Topic** dashboard provides details on topic-level metrics for Kafka clusters in Confluent Cloud, including consumer lag, data throughput, and partition information.
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Use this dashboard to:
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* Monitor consumer lag offsets to identify potential bottlenecks in data processing and ensure timely consumption of messages.
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### Confluent Cloud - KSQL
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Confluent Cloud - KSQL dashboard provides details on query performance, data processing, and resource utilization for KSQL operations in Confluent Cloud.
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The **Confluent Cloud - KSQL** dashboard provides details on query performance, data processing, and resource utilization for KSQL operations in Confluent Cloud.
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Use this dashboard to:
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* Monitor query saturation and identify potential bottlenecks in KSQL operations.
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### Confluent Cloud - Schema Registry
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Confluent Cloud - Schema Registry dashboard provides details on schema operations, request counts, and traffic types for your Confluent Cloud Schema Registry.
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The **Confluent Cloud - Schema Registry** dashboard provides details on schema operations, request counts, and traffic types for your Confluent Cloud Schema Registry.
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Use this dashboard to:
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* Monitor the distribution of schema operations (CREATE, READ, DELETE) to ensure proper usage and identify potential issues with schema management.

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