Splunk Cloud Platform


Metrics indexing performance

This topic summarizes the results of metrics indexing performance.

Size on disk

When ingesting typical metrics payloads with supported metrics source types (collectd_http, statsd, metrics_csv), a metrics index requires about 50% less disk storage space compared to storing the same payload in an events index.


Consider the following when deciding whether to scale horizontally by adding additional indexers.
Using the collectd_http source type with an HTTP Event Collector (HEC) input, testing reached a constant of around 55,000 events per second maximum ingestion throughput, and around 58,000 events per second without additional search load.
  • The default batch size was 5,000 events per batch. A significant difference in ingestion performance was not observed between batch sizes of 100 to 5,000 events.
  • The keep-alive setting was enabled for these tests.
  • A typical event size was about 214 bytes.
Using the statsd source type with a UDP input, throughput was highly variable depending on other network activity. For UDP inputs we recommend using a universal forwarder as close as possible to where metrics are collected.


Consider the results from the following test for running metrics queries. This test used metrics from 1,000 hosts, with a total event count of 6 billion events in the metrics index, where queries were representative and did not use wildcards in metric_name.
Time range Events Query speed
1 hour 35 million < 0.1s
1 day 850 million ~3-5s
1 week 6 billion ~20-22s

See the Capacity Planning Manual.

Last modified on 18 June, 2020
Use histogram metrics   Best practices for metrics

This documentation applies to the following versions of Splunk Cloud Platform: 8.2.2112, 8.2.2201, 8.2.2202, 9.0.2205, 8.2.2203, 9.0.2208, 9.0.2209, 9.0.2303, 9.0.2305, 9.1.2308 (latest FedRAMP release), 9.1.2312, 9.2.2403

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