Grammar pass on docs (#17735)
* grammar pass on doc * capitalize Alert * grammar pass * capitalize Alert * grammar pass * grammar pass * grammar pass * grammar pass * grammar pass * grammar pass * Update docs/category-overview-pages/working-with-logs.md * Update docs/category-overview-pages/machine-learning-and-assisted-troubleshooting.md --------- Co-authored-by: Ilya Mashchenko <ilya@netdata.cloud>
Fotis Voutsas committed
May 23, 2024 at 10:34 UTC
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docs/category-overview-pages/machine-learning-and-assisted-troubleshooting.md
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# Machine Learning and Anomaly Detection
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-Netdata provides a variety of Machine Learning features to help you troubleshoot certain scenarios that might come up.
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+Netdata provides advanced Machine Learning features to help you identify and troubleshoot anomalies and unexpected behavior in your infrastructure before they become critical issues:
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-- K-means clustering [Machine Learning models](/src/ml/README.md) are trained to power the [Anomaly Advisor](/docs/dashboards-and-charts/anomaly-advisor-tab.md) on the dashboard, which allows you to identify anomalies in your infrastructure
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-- [Metric Correlations](/docs/metric-correlations.md) are possible through the dashboard using the [Two-sample Kolmogorov Smirnov](https://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test#Two-sample_Kolmogorov%E2%80%93Smirnov_test) statistical test and Volume heuristic measures
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-- The [Netdata Assistant](/docs/netdata-assistant.md) is able to answer your prompts when it comes to troubleshooting alerts and anomalies.
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+- K-means clustering [Machine Learning models](/src/ml/README.md) are trained to power the [Anomaly Advisor](/docs/dashboards-and-charts/anomaly-advisor-tab.md) on the dashboard, which allows you to identify Anomalies in your infrastructure.
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+- [Metric Correlations](/docs/metric-correlations.md) are possible through the dashboard using the [Two-sample Kolmogorov Smirnov](https://en.wikipedia.org/wiki/Kolmogorov%E2%80%93Smirnov_test#Two-sample_Kolmogorov%E2%80%93Smirnov_test) statistical test and Volume heuristic measures.
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+- The [Netdata Assistant](/docs/netdata-assistant.md) is able to answer your prompts when it comes to troubleshooting Alerts and Anomalies.
docs/category-overview-pages/maintenance-operations-on-netdata-agents.md
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# Maintenance operations on Netdata Agents Overview
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-This section provides information on various actions you can take when maintaining a Netdata Agent.
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+This section provides information on various actions you can take while maintaining a Netdata Agent.
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+- [Starting and Stopping Netdata Agents](/docs/netdata-agent/start-stop-restart.md)
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+- [Update Netdata Agents](/packaging/installer/UPDATE.md)
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+- [Reinstall Netdata Agents](/packaging/installer/REINSTALL.md)
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+- [Uninstall Netdata Agents](/packaging/installer/UNINSTALL.md)
docs/category-overview-pages/working-with-logs.md
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# Working with Logs
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-This section talks about ways Netdata collects and visualizes logs, while also providing useful guides on log centralization setups that can be used with Netdata.
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+This section talks about ways Netdata collects and visualizes logs.
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+The [systemd journal plugin](/src/collectors/systemd-journal.plugin/) is the core Netdata component for reading systemd journal logs.
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+For structured logs, Netdata provides tools like [log2journal](/src/collectors/log2journal/README.md) and [systemd-cat-native](/src/libnetdata/log/systemd-cat-native.md) to convert them into compatible systemd journal entries.
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+You can also find useful guides on how to set up log centralization points in the [Observability Cetralization Points](/docs/observability-centralization-points/README.md) section of our docs.