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Scaling Out a Logstash Cluster

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Язык статьи: Английский

If the workloads on the data plane of a Logstash cluster increase, you can scale out the cluster by adding more nodes.

You may scale out a Logstash cluster for the following purposes:

To ensure continuous data availability, more nodes may be added to a Logstash cluster to enhance fault tolerance.
In the face of fast data growth, more nodes may be added to a Logstash cluster to increase data processing capacity.
More nodes may be added to a Logstash cluster to execute more complex data processing tasks, such as data enrichment and ETL.

Scale-out process: Add more nodes of the appropriate specifications to the Logstash cluster and modify cluster configuration.

Impact on Billing

For a pay-per-use cluster, you can see its new price when confirming the scale-out or scale-up on the console. After the scale-out or scale-up is complete, the new price will apply. For pricing details, see .

Change Impact

Scaling out a Logstash cluster does not affect services. However, once started, a scale-out task cannot be stopped until it succeeds or fails.

Scale-out Duration

The scale-out operation takes 10 to 30 minutes, depending on the cluster's scheduling capabilities.

Prerequisites

The cluster status is Available, and there are no ongoing tasks.
Your CSS resource quotas are sufficient for the capacity expansion you are about to perform. You can check available resources on the Modify Configuration page.

Adding New Nodes

Log in to the CSS management console.
In the navigation pane on the left, choose Clusters > Logstash.
In the cluster list, find the target cluster, and choose More > Modify Configuration in the Operation column. The Modify Configuration page is displayed.
Select the Scale Cluster tab and click Scale out to set parameters.
Table 1 Adding new nodes
Parameter
Description
Action
Select Scale out.
Resources
Quantities of resources added.
Nodes
Increase the number of nodes in the Nodes column.
Click Next.
Confirm the information and click Submit.
Click Back to Cluster List to go back to the Clusters page. The Task Status is Scaling out. When Cluster Status changes to Available, the cluster has been successfully scaled out.