What's new in Cloudera Observability on premises 3.7.1

Review the new features and functionality improvements in this release of Cloudera Observability on premises.

Monitoring Cloudera Data Warehouse with Cloudera Observability on premises

Integrate Cloudera Data Warehouse with Cloudera Observability on premises 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 on premises

Integrate Cloudera Data Engineering with Cloudera Observability on premises 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 on premises 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

Criteria and Trigger logic

When you create an auto action, you can now set a criteria and trigger logic conditioning. For more information, see the Creating an Auto Action event documentation.