Elasticsearch monitoring with Netdata
Monitors Elasticsearch performance and health metrics.
It produces:
Search performance charts:
- Number of queries, fetches
- Time spent on queries, fetches
- Query and fetch latency
Indexing performance charts:
- Number of documents indexed, index refreshes, flushes
- Time spent on indexing, refreshing, flushing
- Indexing and flushing latency
Memory usage and garbage collection charts:
- JVM heap currently in use, committed
- Count of garbage collections
- Time spent on garbage collections
Host metrics charts:
- Available file descriptors in percent
- Opened HTTP connections
- Cluster communication transport metrics
Queues and rejections charts:
- Number of queued/rejected threads in thread pool
Fielddata cache charts:
- Fielddata cache size
- Fielddata evictions and circuit breaker tripped count
Cluster health API charts:
- Cluster status
- Nodes and tasks statistics
- Shards statistics
Cluster stats API charts:
- Nodes statistics
- Query cache statistics
- Docs statistics
- Store statistics
- Indices and shards statistics
Indices charts (per index statistics, disabled by default):
- Docs count
- Store size
- Num of replicas
- Health status
#
ConfigurationEdit the python.d/elasticsearch.conf
configuration file using edit-config
from the Netdata config
directory, which is typically at /etc/netdata
.
Sample:
If no configuration is given, module will try to connect to http://127.0.0.1:9200
.