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author | DanTheMediocre <djo@live.nl> | 2022-03-04 11:18:12 +0100 |
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committer | GitHub <noreply@github.com> | 2022-03-04 12:18:12 +0200 |
commit | c59aacc18c7759dfc958f891914ba04dea6473d3 (patch) | |
tree | b245db07e03bf379e5c0ce08d2d05522f3877600 /docs | |
parent | 58addd96a8adb73d9a4399bba12c7aba68299283 (diff) |
Fix 'connect' typo anomaly-detection-python.md (#12317)
Diffstat (limited to 'docs')
-rw-r--r-- | docs/guides/monitor/anomaly-detection-python.md | 2 |
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 |