Throttle filter plugin
Rate-limits events that share a key inside a rolling time window. Combine it with drop or a tag to mute floods of repetitive events without losing visibility entirely.
- Package:
logstash-filter-throttle - Coverage source: default/bundled
- Official catalog entry: Yes
Plugin overview
throttle is used in the Logstash filter stage. Rate-limits events by key and period.
Typical use cases
- Transform fields before indexing to keep schema and naming consistent.
- Prepare high-quality fields for alerts, dashboards, and downstream pipelines.
Input and output behavior
- Flow: processes matching events and mutates fields/tags within the same event.
- Input: works on events that match your surrounding
ifconditions. - Output: updates the current event in place unless configured otherwise.
- Important options:
key,after_count,before_count,max_age.
Options
Required
key(type: string; default: none) — Sprintf expression that produces the throttle key (events sharing a key count together).
Optional
after_count(type: number; default:-1) — Tag events only after the count exceeds this threshold.before_count(type: number; default:-1) — Tag events only before the count reaches this threshold.max_age(type: number; default:3600) — Maximum age of a counter before it is discarded.max_counters(type: number; default:100000) — Cap on the number of distinct counters kept in memory.period(type: string; default:"60") — Length of the rolling window, in seconds.
Example configuration
filter {
throttle {
key => "%{[log][level]}|%{[service][name]}"
period => 60
after_count => 50
add_tag => [ "throttled" ]
}
if "throttled" in [tags] {
drop { }
}
}Common options configuration
All Logstash filter plugins support these shared options:
add_field(type: hash; default:{}) — Adds fields when the filter succeeds. Supports dynamic field names and values.add_tag(type: array; default:[]) — Adds one or more tags when the filter succeeds.enable_metric(type: boolean; default:true) — Enables or disables metric collection for this plugin instance.id(type: string; default:none) — Sets an explicit plugin instance ID for monitoring and troubleshooting.periodic_flush(type: boolean; default:false) — Calls the filter flush method at regular intervals.remove_field(type: array; default:[]) — Removes fields when the filter succeeds. Supports dynamic field names.remove_tag(type: array; default:[]) — Removes tags when the filter succeeds.
filter {
throttle {
add_field => { "pipeline_stage" => "parsed" }
add_tag => ["parsed", "logstash_filter"]
enable_metric => true
id => "my_filter_instance"
periodic_flush => false
remove_field => ["tmp_field"]
remove_tag => ["temporary"]
}
}Apply in Logit.io
- Open your stack in Logit.io and navigate to Logstash Pipelines.
- In the
filter { ... }section, add athrottleblock. - Save your pipeline changes, then restart the Logstash pipeline if prompted.
- Send sample events and verify parsed/enriched fields in OpenSearch Dashboards.
Validation checklist
- Confirm the
throttleblock compiles without syntax errors. - Verify expected new/updated fields exist in sample documents.
- Verify unexpected fields are not removed unless explicitly configured.
- Confirm tags added on success/failure align with your alerting and routing rules.
Troubleshooting
- If events are unchanged, verify your filter condition (
if ...) matches incoming events. - If the pipeline fails to start, validate braces/quotes and retry with a minimal filter block.
- If throughput drops, reduce expensive operations and test with representative sample volume.
References
- GitHub package:
logstash-filter-throttle(opens in a new tab) - Canonical catalog: /log-management/ingestion-pipeline/logstash-filters-reference