A complete set of statical and monitoring information are provided through the Web Console, CLI, and REST API.

In order to understand what your cluster is doing and how it is performing, Couchbase Server incorporates a complete set of statistical and monitoring information. The statistics are provided through all of the administration interfaces. Within the Web Administration Console, a complete suite of statistics are provided, including built-in real-time graphing and performance data.

The statistics are divided into a number of groups, allowing you to identify different states and performance information within your cluster:

• By Node

Node statistics show CPU, RAM and I/O numbers on each of the servers and across your cluster as a whole. This information can be used to help identify performance and loading issues on a single server.

• By vBucket

The vBucket statistics show the usage and performance numbers for the vBuckets used to store information in the cluster. These numbers are useful to determine whether you need to reconfigure your buckets or add servers to improve performance.

• By View

View statistics display information about individual views in your system, including the CPU usage and disk space used so that you can monitor the effects and loading of a view on your Couchbase nodes. This information can indicate that your views need modification or optimization, or that you need to consider defining views across multiple design documents.

• By Disk Queues

These statistics monitor the queues used to read and write information to disk and between replicas. This information can be helpful in determining whether you should expand your cluster to reduce disk load.

• By TAP Queues

The TAP interface is used to monitor changes and updates to the database. TAP is used internally by Couchbase to provide replication between Couchbase nodes, but can also be used by clients for change notifications.

In nearly all cases the statistics can be viewed both on a whole of cluster basis, so that you can monitor the overall RAM or disk usage for a given bucket, or an individual server basis so that you can identify issues within a single machine.