1.0.00 features

Cluster health 

Elasticsearch KM monitors your cluster health each minute. The Cluster Status attribute indicates the overall health of your cluster. 

• 0 - Green - All primary and replica shards are active
• 1 - Yellow - All primary shards are active, but not all replica shards are active
• 2 - Red - Not all primary shards are active

You can set alerts on the Cluster Status attribute so that you get notified when the cluster health is at risk. 

Key Performance Indicator (KPI) metrics 

• Store size 
• Available disk space

The KM provides Number of documents deleted, Field data cache size, Field data cache evictions, and other attributes apart from the KPI metrics.

For the complete list of attributes available for Clusters, see the Cluster monitor type.

Cluster performance report

Node performance

In Elasticsearch, a Node is a single instance of Elasticsearch. It usually runs one instance per machine. 

Node monitoring can be used to:

• Plan the disk capacity of each node in a cluster
• Identify the nodes that need tuning of query cache size
• Identify the nodes that need tuning of field data cache size
• Determine if there are evictions from a node query cache. If the cache size is more, it can accommodate more results, thus reducing the evictions. 
• Determine if there are evictions from a field data cache. If the cache size is more, it can accommodate more results, thus reducing the number of evictions.

Key Performance Indicator (KPI) metrics 

• Available disk space
• Store size

Elasticsearch KM monitors the Average response time of a query, Field data cache evictions, Query cache count, and other attributes apart from the KPI metrics. 

For the complete list of attributes available for Nodes, see the Elasticsearch Node monitor type.

Node performance report

Index performance

In Elasticsearch, an index is a collection of documents that have similar characteristics. 

Index monitoring helps you to:

• Determine if the average response time of the queries remains high. Queries can be redefined and metrics can be compared to measure the efficiency of queries.

• Determine the rate at which indices are refreshed with new information

• Determine the number of documents indexed per millisecond

Key Performance Indicator (KPI) metrics 

• Indexing rate
• Merge rate of segments

Elasticseach KM monitors the availability of each Index, Average response time of a query, Field data cache evictions, Query cache evictions, and other attributes apart from the KPI metrics. 

For the complete list of attributes available for Index, see the Elasticsearch Index monitor type.

Index performance report

Java Virtual Machine performance

Elasticsearch KM provides Heap Utilization attribute that displays the JVM heap utilized by the node. This helps you to ensure that your system does not run out of memory. The KM also provides Heap size used (in GB) and Maximum heap size configured (in GB) for the Node.

Key Performance Indicator (KPI) metrics for JVM

Heap utilization

For the complete list of attributes available for JVM, see the JVM monitor type.

JVM performance report

Shards performance

Shards are individual instances of a Lucene index. Shard allocation helps us understand if the Elasticsearch application is using optimum number of Shards.

The KM reports number of active, initializing, relocating, and unassigned shards.

Key Performance Indicator (KPI) metrics 

Unassigned shards

For the complete list of attributes available for Shards, see the Elasticsearch Shards monitor type.

Shards performance report