diff options
Diffstat (limited to 'docs/guides/monitor/anomaly-detection.md')
| -rw-r--r-- | docs/guides/monitor/anomaly-detection.md | 26 |
1 files changed, 13 insertions, 13 deletions
diff --git a/docs/guides/monitor/anomaly-detection.md b/docs/guides/monitor/anomaly-detection.md index bb9dbc829..2fa4896c6 100644 --- a/docs/guides/monitor/anomaly-detection.md +++ b/docs/guides/monitor/anomaly-detection.md @@ -79,9 +79,10 @@ yourself if it doesn't already exist. Either way, the final result should look l anomalies: yes ``` -[Restart the Agent](/docs/configure/start-stop-restart.md) with `sudo systemctl restart netdata` to start up the -anomalies collector. By default, the model training process runs every 30 minutes, and uses the previous 4 hours of -metrics to establish a baseline for health and performance across the default included charts. +[Restart the Agent](/docs/configure/start-stop-restart.md) with `sudo systemctl restart netdata`, or the [appropriate +method](/docs/configure/start-stop-restart.md) for your system, to start up the anomalies collector. By default, the +model training process runs every 30 minutes, and uses the previous 4 hours of metrics to establish a baseline for +health and performance across the default included charts. > ๐ก The anomaly collector may need 30-60 seconds to finish its initial training and have enough data to start > generating anomaly scores. You may need to refresh your browser tab for the **Anomalies** section to appear in menus @@ -106,7 +107,7 @@ involve tweaking the behavior of the ML training itself. doesn't have historical metrics going back that far, consider [changing the metrics retention policy](/docs/store/change-metrics-storage.md) or reducing this window. - `custom_models`: A way to define custom models that you want anomaly probabilities for, including multi-node or - streaming setups. More on custom models in part 3 of this guide series. + streaming setups. > โ ๏ธ Setting `charts_regex` with many charts or `train_n_secs` to a very large number will have an impact on the > resources and time required to train a model for every chart. The actual performance implications depend on the @@ -172,20 +173,19 @@ example, it's time to apply that knowledge to other mission-critical parts of yo what to monitor next, check out our list of [collectors](/collectors/COLLECTORS.md) to see what kind of metrics Netdata can collect from your systems, containers, and applications. -For a more user-friendly anomaly detection experience, try out the [Metric -Correlations](https://learn.netdata.cloud/docs/cloud/insights/metric-correlations) feature in Netdata Cloud. Metric -Correlations runs only at your requests, removing unrelated charts from the dashboard to help you focus on root cause -analysis. +Keep on moving to [part 2](/docs/guides/monitor/visualize-monitor-anomalies.md), which covers the charts and alarms +Netdata creates for unsupervised anomaly detection. -Stay tuned for the next two parts of this guide, which provide more real-world context for the anomalies collector. -First, maximize the immediate value you get from anomaly detection by tracking preconfigured alarms, visualizing -anomalies in charts, and building a new dashboard tailored to your applications. Then, learn about creating custom ML -models, which help you holistically monitor an application or service by monitoring anomalies across a _cluster of -charts_. +For a different troubleshooting experience, try out the [Metric +Correlations](https://learn.netdata.cloud/docs/cloud/insights/metric-correlations) feature in Netdata Cloud. Metric +Correlations helps you perform faster root cause analysis by narrowing a dashboard to only the charts most likely to be +related to an anomaly. ### Related reference documentation - [Netdata Agent ยท Anomalies collector](/collectors/python.d.plugin/anomalies/README.md) +- [Netdata Agent ยท Nginx collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/nginx) +- [Netdata Agent ยท web log collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/weblog) - [Netdata Cloud ยท Metric Correlations](https://learn.netdata.cloud/docs/cloud/insights/metric-correlations) [](<>) |