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author | Andrew Maguire <andrewm4894@gmail.com> | 2020-12-02 20:45:29 +0000 |
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committer | GitHub <noreply@github.com> | 2020-12-02 20:45:29 +0000 |
commit | 9dda12cf92e847cb86527a1994a9fa5585e9fa8f (patch) | |
tree | f7f26434439c14a9818f239b48038743806c6c17 /web | |
parent | 7ec4f48a0acbf1a7e5bdb8b0afb6b74ecd976d40 (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.js | 6 |
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>', |