About the Cloudera Observability user interface
Provides a brief introduction to the web interface and frequently used interface elements of Cloudera Observability.
The Cloudera Observability UI displays graphical reports of the health, performance, and status of your workloads, workload clusters, and resources. Its dashboard components include statistics, performance, health, and prescription guidance visually displayed in chart widgets or tabular views.
- Financial Governance, which opens the
Chargeback
page that displays the total costs and the hourly CPU and memory usage for all of your
cost centers, including the unutilized resource usage costs from the
Uncategorised section.From its Actions list you can:
- Configure your cost centers criteria based on CPU and Memory costs and resource usage.
- Create cost centers, which separate costs across user or pool usage and track their workload resource consumption costs.
- Analytics, which opens the Clusters page
that displays a list of your clusters, the type of cluster, and
the date when telemetry was last updated.After you select a cluster for analysis, the Cluster Summary page opens and displays the following features and engine services:
- Workloads, which opens the Workload Views page that enables you to create, display, monitor, and manage views specific to your business requirements.
- Auto Actions, which opens the Auto Actions page that enables you to create, view, monitor, and manage your alerts.
- Engines, which lists the workload cluster's engines;
Impala, Spark, Hive, Oozie, and MapReduce.
When an engine is selected, the engine's chart widgets display information about the workload jobs run by the selected engine, such as which jobs or queries have failed or are slow, their processing time, missed SLAs (thresholds), user and pool metrics, and outlier issues. The Impala and Workload View chart widgets also display information about the CPU and Memory usage, the tables used for your Impala queries, and the SQL statement types.
About the Cloudera Observability chart widgets
- Hovering over an element with your mouse pointer, such as over a time-line or a data point, displays more information about the element underneath.
- Clicking a link within a chart widget or a bar within bar chart widget opens the engine's Jobs or Queries page that contains more information in a tabular view for you to investigate further.
About the Jobs and Queries pages
Depending on the engine chosen, the engine's Jobs or Queries page provides information about each of the jobs or queries that are serviced by the engine. You can filter further by selecting a filter option from one of the filter categories; Pool, User, Status, Health Check, or Duration.
For more information about a specific job's or query's health, execution details, baseline, and trends, open their respective page by clicking the link in the Job or Query column and selecting the tab of interest. To investigate further, these pages also provide prescriptive guidance and recommendations that enable you to address problems and optimize solutions.
