When you manage multiple database instances of the same engine type, switching between individual instance views to check performance trends, slow query logs, and storage usage is time-consuming. DAS cluster management lets you group instances into logical clusters so you can monitor all of them from a single view.
Supported database engines
DAS cluster management supports the following engines:
MySQL
Redis
MongoDB
PostgreSQL
RDS SQL Server
PolarDB for MySQL
PolarDB for PostgreSQL
PolarDB for PostgreSQL (Compatible with Oracle)
PolarDB-X 2.0
MySQL, Redis, MongoDB, and PostgreSQL instances can be either Alibaba Cloud databases or self-managed databases.
Each database instance can belong to only one cluster.
Use cases
Environment separation: Group development, test, and production instances separately to track performance and storage usage independently for each environment.
Cross-instance monitoring: Identify slow query trends and storage bottlenecks across a set of related instances without switching between individual instance views.
Prerequisites
Before you begin, make sure you have:
At least one database instance of a supported engine type already running
Sufficient permissions to manage resources in the DAS console
Create and manage clusters
Log on to the DAS console.
In the left-side navigation pane, choose Resources > Clusters.
On the Clusters page, click Add Cluster in the upper-right corner.
In the Add Cluster dialog box, configure the following parameters, then click Save.
Parameter
Description
Cluster Name
A name for the cluster.
Select Environment
The environment the cluster belongs to. Valid values: Development Environment, test, online (production environment).
Select Engine
The database engine for this cluster. All instances you add to the cluster must use this engine.
Cluster Description
A description for the cluster.
On the Clusters page, find the cluster and click an action in the Actions column. The following operations are available:
Edit: Update the cluster environment or description.
Delete: Delete the cluster.
Monitor: View performance trends, basic information, and storage data for all instances in the cluster.
What's next
After creating a cluster, click Monitor in the Actions column to view performance trends, slow query log trends, and global storage usage across all instances in the cluster.