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diff --git a/docs/guides/monitor/raspberry-pi-anomaly-detection.md b/docs/guides/monitor/raspberry-pi-anomaly-detection.md index 00b652bf..935d0f6c 100644 --- a/docs/guides/monitor/raspberry-pi-anomaly-detection.md +++ b/docs/guides/monitor/raspberry-pi-anomaly-detection.md @@ -1,12 +1,6 @@ ---- -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 -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 ---- +# Anomaly detection for RPi monitoring + +Learn how to use a low-overhead machine learning algorithm alongside Netdata to detect anomalous metrics on a Raspberry Pi. 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. @@ -23,7 +17,7 @@ Read on to learn all the steps and enable unsupervised anomaly detection on your - A Raspberry Pi running Raspbian, which we'll call a _node_. - The [open-source Netdata](https://github.com/netdata/netdata) monitoring agent. If you don't have it installed on your - node yet, [get started now](https://github.com/netdata/netdata/blob/master/docs/get-started.mdx). + node yet, [get started now](https://github.com/netdata/netdata/blob/master/packaging/installer/README.md). ## Install dependencies @@ -63,7 +57,6 @@ Now you're ready to enable the collector and [restart Netdata](https://github.co ```bash sudo ./edit-config python.d.conf -# set `anomalies: no` to `anomalies: yes` # restart netdata sudo systemctl restart netdata @@ -100,26 +93,4 @@ during training. By default, the anomalies collector, along with all other runni  -## What's next? - -So, all in all, with a small little bit of extra set up and a small overhead on the Pi itself, the anomalies collector -looks like a potentially useful addition to enable unsupervised anomaly detection on your Pi. - -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_](https://github.com/netdata/netdata/blob/master/docs/guides/monitor/anomaly-detection-python.md) -- [_Monitor and visualize anomalies with Netdata_](https://github.com/netdata/netdata/blob/master/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 -Pi guide: [_Monitor Pi-hole (and a Raspberry Pi) with Netdata_](https://github.com/netdata/netdata/blob/master/docs/guides/monitor/pi-hole-raspberry-pi.md). - -Once you've had a chance to give unsupervised anomaly detection a go, share your use cases and let us know of any -feedback on our [community forum](https://community.netdata.cloud/t/anomalies-collector-feedback-megathread/767). - -### Related reference documentation - -- [Netdata Agent · Get Netdata](https://github.com/netdata/netdata/blob/master/docs/get-started.mdx) -- [Netdata Agent · Anomalies collector](https://github.com/netdata/netdata/blob/master/collectors/python.d.plugin/anomalies/README.md) - |