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Diffstat (limited to 'docs/guides/monitor/raspberry-pi-anomaly-detection.md')
| -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 |