January 2026

This release of Cloudera Observability provides you with several new capabilities that were added in this release.

Cloudera AI on premises Observability Non Airgapped integration

Cloudera Observability integrates with Cloudera AI on Cloudera Data Services on premises to monitor non-airgapped environments. You can use this integration to optimize AI workbench performance and manage resource utilization. For more information, see the Cloudera AI on premises Observability Non Airgapped integration documentation.

Monitoring Cloudera Data Warehouse with Cloudera Observability

Integrate Cloudera Data Warehouse with Cloudera Observability to collect query and job-level telemetry. Use the dashboards to optimize Hive and Impala queries, monitor performance, and ensure SLA compliance. For more information, see the Monitoring Cloudera Data Warehouse with Cloudera Observability documentation.

Monitoring Cloudera Data Engineering with Cloudera Observability

Integrate Cloudera Data Engineering with Cloudera Observability to collect Spark job telemetry and monitor resource usage. Use job-level metrics and performance dashboards to optimize Spark workloads and troubleshoot issues. You can also access historical analysis directly from the Cloudera Data Engineering job runs page. For more information, see the Monitoring Cloudera Data Engineering with Cloudera Observability documentation.

Spark resource recommendations

This feature offers prescriptive configuration values for optimizing Spark application resource allocation, thereby improving efficiency with actionable suggestions for optimal Spark settings. For more information, see the Spark resource recommendations documentation.

Hive statement types

Cloudera Observability now supports a list of SQL statement types for workloads that use Apache Hive. For more information, see the Hive statement types documentation.

Financial Governance Budgeting feature

Financial Governance Budgeting allows organizations to control spending by allocating and managing budgets for workload and infrastructure expenses. For more information, see the Financial Governance Budgeting feature documentation