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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2021-12-14 16:23:58 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2021-12-14 16:28:16 +0000 |
commit | f7737368d64b6b6d3b4075d1debe4342771faf49 (patch) | |
tree | 15c3484c1ae02ea9fbd1b4101ffc416fa6adadd9 /docs/guides/monitor/raspberry-pi-anomaly-detection.md | |
parent | Adding upstream version 1.32.0. (diff) | |
download | netdata-f7737368d64b6b6d3b4075d1debe4342771faf49.tar.xz netdata-f7737368d64b6b6d3b4075d1debe4342771faf49.zip |
Adding upstream version 1.32.1.upstream/1.32.1
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to '')
-rw-r--r-- | docs/guides/monitor/raspberry-pi-anomaly-detection.md | 8 |
1 files changed, 3 insertions, 5 deletions
diff --git a/docs/guides/monitor/raspberry-pi-anomaly-detection.md b/docs/guides/monitor/raspberry-pi-anomaly-detection.md index 90ad763b8..029dfcbc7 100644 --- a/docs/guides/monitor/raspberry-pi-anomaly-detection.md +++ b/docs/guides/monitor/raspberry-pi-anomaly-detection.md @@ -1,4 +1,4 @@ -<!-- +--- title: "Unsupervised anomaly detection for Raspberry Pi monitoring" description: "Use a low-overhead machine learning algorithm and an open-source monitoring tool to detect anomalous metrics on a Raspberry Pi." image: /img/seo/guides/monitor/raspberry-pi-anomaly-detection.png @@ -6,9 +6,7 @@ author: "Andy Maguire" author_title: "Senior Machine Learning Engineer" author_img: "/img/authors/andy-maguire.jpg" custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/monitor/raspberry-pi-anomaly-detection.md ---> - -# Unsupervised anomaly detection for Raspberry Pi monitoring +--- We love IoT and edge at Netdata, we also love machine learning. Even better if we can combine the two to ease the pain of monitoring increasingly complex systems. @@ -110,7 +108,7 @@ looks like a potentially useful addition to enable unsupervised anomaly detectio See our two-part guide series for a more complete picture of configuring the anomalies collector, plus some best practices on using the charts it automatically generates: -- [_Detect anomalies in systems and applications_](/docs/guides/monitor/anomaly-detection.md) +- [_Detect anomalies in systems and applications_](/docs/guides/monitor/anomaly-detection-python.md) - [_Monitor and visualize anomalies with Netdata_](/docs/guides/monitor/visualize-monitor-anomalies.md) If you're using your Raspberry Pi for other purposes, like blocking ads/trackers with Pi-hole, check out our companions |