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authorDanTheMediocre <djo@live.nl>2022-03-04 11:18:12 +0100
committerGitHub <noreply@github.com>2022-03-04 12:18:12 +0200
commitc59aacc18c7759dfc958f891914ba04dea6473d3 (patch)
treeb245db07e03bf379e5c0ce08d2d05522f3877600 /docs/guides
parent58addd96a8adb73d9a4399bba12c7aba68299283 (diff)
Fix 'connect' typo anomaly-detection-python.md (#12317)
Diffstat (limited to 'docs/guides')
-rw-r--r--docs/guides/monitor/anomaly-detection-python.md2
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/guides/monitor/anomaly-detection-python.md b/docs/guides/monitor/anomaly-detection-python.md
index fbe0369f53..ad8398cc68 100644
--- a/docs/guides/monitor/anomaly-detection-python.md
+++ b/docs/guides/monitor/anomaly-detection-python.md
@@ -23,7 +23,7 @@ library](https://github.com/yzhao062/pyod/tree/master), which periodically runs
quantify how anomalous certain charts are.
All these metrics and alarms are available for centralized monitoring in [Netdata Cloud](https://app.netdata.cloud). If
-you choose to sign up for Netdata Cloud and [coonect your nodes](/claim/README.md), you will have the ability to run
+you choose to sign up for Netdata Cloud and [connect your nodes](/claim/README.md), you will have the ability to run
tailored anomaly detection on every node in your infrastructure, regardless of its purpose or workload.
In this guide, you'll learn how to set up the anomalies collector to instantly detect anomalies in an Nginx web server