HPE Ezmeral Data Fabric Control System
Provides a brief description of the HPE Ezmeral Data Fabric Control System.
The HPE Ezmeral Data Fabric Control System provides a graphical control panel for cluster administration with all the functionality of the command-line or REST APIs. The Control System provides job monitoring metrics and helps you troubleshoot issues, such as which jobs required the most memory in a given week, or which events caused job and task failures.
The Control System provides various views, which you can use to configure and monitor your cluster:
- Overview
- The Control System Overview page provides a summary of information about the cluster including a cluster heat map that displays the health of each node organized by service, an alarms summary, cluster utilization that shows the CPU, memory, and disk space usage, the number of available, unavailable, and under replicated volumes, and MapReduce applications.ATTENTIONThis page is not available when running on a Kubernetes cluster.
- Services
The Control System Services page provides a summary of the services running across the cluster.
- Nodes
- The Control System Nodes page provides a summary of information
about the nodes on the cluster including a heat map that displays the health of each node,
resource utilization that shows the CPU and memory usage, all active alarms, and a list of
all the nodes on the cluster with links that provide shortcuts to more detailed
information about the node.ATTENTIONThis page is not available when running on a Kubernetes cluster.
- Data
- The Control System Data drop-down menu contains links to pages
that provide summary of information about volumes, tables, and streams.ATTENTIONThis page is not available when running on a Kubernetes cluster.
- Admin
- The Control System Admin drop-down menu contains links to pages for user and cluster management tasks such as setting up permissions, quotas, and email settings for users, enabling cluster-level and data auditing, configuring balancer settings, and adding licenses.
URL Sharing Feature
- Filters will be preserved if one logs in as the same user within the current session.
- Filters will not be preserved if one logs in as a different user within the current session.
- URL can be shared with any valid user and can be opened in any browser, using valid user credentials.
URL Sharing works on the Volumes page, Security Policies page, Nodes page, and the Snapshots tab both in the Volumes page and the Volume Details page.