Managing the number of nodes in Confluence Data Center

This insight appears when your Confluence Data Center's node count falls outside the recommended range of 2-8 nodes. This metric is crucial for maintaining optimal system redundancy, performance, and scalability across your Confluence Data Center deployment. You can monitor your nodes at

 /plugins/servlet/cluster-monitoring.


Thresholds:

Optimal

  • 2-8 nodes

Approachig limit

  • 9-20 nodes

Exceeding limit

  • Less than 2 nodes or more than 20 nodes

How does node count affect performance?

Your node configuration can impact your instance in several ways:

  • High availability and disaster recovery capabilities

  • System performance and response times

  • Resource utilization and scalability

  • Maintenance flexibility and upgrade processes

  • Inter-node communication overhead

What's the recommendation?

What's the recommendation?

To optimize your cluster configuration, follow these recommendations:

Add nodes for redundancy

If running with fewer than two nodes:

  1. Prepare for node addition:

    • Stop one existing node

    • Copy installation and local home directories

    • Configure the new node's properties

  2. Configure the new node:

    • Edit cluster.properties in the local home directory

    • Set unique confluence.node.id

    • Verify shared home accessibility

  3. Verify cluster health:

    • Go to Administration > Clustering

    • Confirm new node is visible and active

    • Check synchronization status

Learn about adding nodes to your cluster

Review node resource allocation

Before adding more nodes, optimize your existing configuration:

  1. Monitor current performance:

    • Check CPU utilization

    • Review memory usage

    • Analyze response times

    • Verify storage performance

  2. Assess resource distribution:

    • Evaluate load balancer configuration

    • Check cache utilization

    • Monitor database connections

    • Review synchronized data flow

Review node sizing guidelines

Consider vertical scaling

When performance issues arise:

  1. Evaluate current specifications:

    • Review CPU allocation

    • Check memory configuration

    • Assess storage performance

  2. Optimize existing nodes:

    • Upgrade hardware where needed

    • Tune JVM settings

    • Configure cache appropriately

 Learn about Confluence Data Center clustering

Optimize storage infrastructure

Ensure proper storage configuration:

  1. Configure storage:

    • Use SSD for local home directories

    • Optimize shared home storage

    • Verify backup procedures

  2. Monitor performance:

    • Track I/O metrics

    • Review latency statistics

    • Check storage capacity


Last modified on Jul 30, 2025

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