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Diffstat (limited to 'docs/cloud/insights/anomaly-advisor.md')
| -rw-r--r-- | docs/cloud/insights/anomaly-advisor.md | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/docs/cloud/insights/anomaly-advisor.md b/docs/cloud/insights/anomaly-advisor.md index 4804dbc16..611ddc5e9 100644 --- a/docs/cloud/insights/anomaly-advisor.md +++ b/docs/cloud/insights/anomaly-advisor.md @@ -32,9 +32,9 @@ To enable ML on your Netdata Agent, you need to edit the `[ml]` section in your enabled = yes ``` -At a minimum you just need to set `enabled = yes` to enable ML with default params. More details about configuration can be found in the [Netdata Agent ML docs](https://github.com/netdata/netdata/blob/master/ml/README.md#configuration). +At a minimum you just need to set `enabled = yes` to enable ML with default params. More details about configuration can be found in the [Netdata Agent ML docs](https://github.com/netdata/netdata/blob/master/src/ml/README.md#configuration). -When you have finished your configuration, restart Netdata with a command like `sudo systemctl restart netdata` for the config changes to take effect. You can find more info on restarting Netdata [here](https://github.com/netdata/netdata/blob/master/docs/configure/start-stop-restart.md). +When you have finished your configuration, restart Netdata with a command like `sudo systemctl restart netdata` for the config changes to take effect. You can find more info on restarting Netdata [here](https://github.com/netdata/netdata/blob/master/packaging/installer/README.md#maintaining-a-netdata-agent-installation). After a brief delay, you should see the number of `trained` dimensions start to increase on the "dimensions" chart of the "Anomaly Detection" menu on the Overview page. By default the `minimum num samples to train = 3600` parameter means at least 1 hour of data is required to train initial models, but you could set this to `900` if you want to train initial models quicker but on less data. Over time, they will retrain on up to `maximum num samples to train = 14400` (4 hours by default), but you could increase this is you wanted to train on more data. @@ -52,7 +52,7 @@ The aim here is to surface the most anomalous metrics in the space or room for t The "Anomaly Rate" chart shows the percentage of anomalous metrics over time per node. For example, in the following image, 3.21% of the metrics on the "ml-demo-ml-disabled" node were considered anomalous. This elevated anomaly rate could be a sign of something worth investigating. -**Note**: in this example the anomaly rates for this node are actually being calculated on the parent it streams to, you can run ml on the Agent itselt or on a parent the Agent stream to. Read more about the various configuration options in the [Agent docs](https://github.com/netdata/netdata/blob/master/ml/README.md). +**Note**: in this example the anomaly rates for this node are actually being calculated on the parent it streams to, you can run ml on the Agent itselt or on a parent the Agent stream to. Read more about the various configuration options in the [Agent docs](https://github.com/netdata/netdata/blob/master/src/ml/README.md).  @@ -77,7 +77,7 @@ On the lower right hand side of the page an index of anomaly rates is displayed - If you are interested in a subset of specific nodes then filtering to just those nodes before highlighting tends to give better results. This is because when you highlight a region, Netdata Cloud will ask the Agents for a ranking over all metrics so if you can filter this early to just the subset of nodes you are interested in, less 'averaging' will occur and so you might be a less noisy ranking. - Ideally try and highlight close to a spike or window of interest so that the resulting ranking can narrow in more easily on the timeline you are interested in. -You can read more detail on how anomaly detection in the Netdata Agent works in our [Agent docs](https://github.com/netdata/netdata/blob/master/ml/README.md). +You can read more detail on how anomaly detection in the Netdata Agent works in our [Agent docs](https://github.com/netdata/netdata/blob/master/src/ml/README.md). 🚧 **Note**: This functionality is still **under active development** and considered experimental. We dogfood it internally and among early adopters within the Netdata community to build the feature. If you would like to get involved and help us with feedback, you can reach us through any of the following channels: |