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authorAndrew Maguire <andrewm4894@gmail.com>2020-12-02 20:45:29 +0000
committerGitHub <noreply@github.com>2020-12-02 20:45:29 +0000
commit9dda12cf92e847cb86527a1994a9fa5585e9fa8f (patch)
treef7f26434439c14a9818f239b48038743806c6c17 /web
parent7ec4f48a0acbf1a7e5bdb8b0afb6b74ecd976d40 (diff)
Anomalies collector (#10060)
ML based anomaly detection python collector built on top of PyOD.
Diffstat (limited to 'web')
-rw-r--r--web/gui/dashboard_info.js6
1 files changed, 6 insertions, 0 deletions
diff --git a/web/gui/dashboard_info.js b/web/gui/dashboard_info.js
index 7e17907218..0e9def1ca3 100644
--- a/web/gui/dashboard_info.js
+++ b/web/gui/dashboard_info.js
@@ -571,6 +571,12 @@ netdataDashboard.menu = {
info: 'Summary, namespaces and topics performance data for the <b><a href="http://pulsar.apache.org/">Apache Pulsar</a></b> pub-sub messaging system.'
},
+ 'anomalies': {
+ title: 'Anomalies',
+ icon: '<i class="fas fa-flask"></i>',
+ info: 'Anomaly scores relating to key system metrics. A high anomaly probability indicates strange behaviour and may trigger an anomaly prediction from the trained models. Read the <a href="https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/anomalies" target="_blank">anomalies collector docs</a> for more details.'
+ },
+
'alarms': {
title: 'Alarms',
icon: '<i class="fas fa-bell"></i>',