From 1ad6b330a326c0149aea2f14abfaef9e50a9ed2d Mon Sep 17 00:00:00 2001 From: mdbirnstiehl Date: Fri, 10 May 2024 11:36:05 -0500 Subject: [PATCH] fix intro --- docs/en/observability/monitor-nginx-ml.asciidoc | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/en/observability/monitor-nginx-ml.asciidoc b/docs/en/observability/monitor-nginx-ml.asciidoc index 14ef493658..9f7ce399d5 100644 --- a/docs/en/observability/monitor-nginx-ml.asciidoc +++ b/docs/en/observability/monitor-nginx-ml.asciidoc @@ -2,7 +2,7 @@ [[monitor-nginx-ml]] == Part 5: Find anomalies in your nginx access logs -Use the nginx machine learning (ML) module from the {integrations-docs}/nginx[Nginx Elastic integration] provides built in ML jobs to help find unusual activity in your nginx access logs. +The {integrations-docs}/nginx[Nginx Elastic integration] provides built in machine learning (ML) jobs to help find unusual activity in your nginx access logs. Monitoring anomalies in your access logs helps you detect: * security threats @@ -14,7 +14,7 @@ Monitoring anomalies in your access logs helps you detect: [[monitor-nginx-ml-jobs]] === nginx anomaly detection jobs -The nginx ML module provides the following jobs for detecting anomalies in your access logs: +The nginx ML module provides the following anomaly detection jobs: [[horizontal]] Low request rates (low_request_rate_nginx):: Uses the {ml-docs}/ml-count-functions.html#ml-count[`low_count`] function to detect abnormally low request rates. Abnormally low request rates might indicate network issues or other issues are preventing requests from reaching the server.