Monitor & Scale HBase Clusters Using Lindorm Insight - ApsaraDB for HBase - Alibaba Cloud - ApsaraDB for HBase

Lindorm Insight allows you to manage clusters, query data, and monitor cluster health.

Lindorm Insight allows you to view basic cluster information and perform data management, data queries, and cluster management operations. It also provides monitoring and health checks at the cluster, group, node, namespace, and table levels, helping you quickly identify hotspots and their root causes.

The Lindorm Insight page has two areas: the left-side navigation pane for feature options, and the right-side content area for query results.

The following table describes the navigation pane features:

Category	Feature	Description	References
Overview	N/A	View detailed information about all tables in the cluster. You can also move tables to a different group, apply throttling, and delete tables.	Overview
Data management	Namespace management	View all namespaces in the cluster. You can also add and delete namespaces.	Manage namespaces
Data management	User management	View users in the cluster and their permissions. You can also add or delete users, and grant or revoke permissions for a specific user.	Manage users Manage ACL permissions
Data query	SQL executor	Use SQL statements to query data stored in LindormTable.	Data query
Cluster management	Group management	View basic information about groups, such as total and used storage space. You can also create or delete groups, and move a RegionServer or table to a different group.	Manage groups
Inspection	N/A	View basic cluster database information, table and database space usage, group storage overview, and diagnostic results for hot shards and keys. You can also export the diagnostic report.	Inspection
Traffic diagnosis	Top region/key real-time query	View information for hot shards and keys, such as the number of requests, request data volume, and average response time.	Traffic diagnosis
Traffic diagnosis	Abnormal traffic detection	View traffic detection results for all tables in a specified group, including table status and the causes of any anomalies. For high-traffic tables, you can also view the number of requests, request data volume, and average response time.	Traffic diagnosis