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authorFotis Voutsas <fotis@netdata.cloud>2023-03-29 19:20:45 +0300
committerGitHub <noreply@github.com>2023-03-29 09:20:45 -0700
commit6016c3b5cf5e8945e122de97d379bd8c28a40f37 (patch)
tree644ee3e930e796b0715ad7fda39f09a896dc0560 /docs
parent90b13124e46093697872520750208d4ed3f4e618 (diff)
Docs, shorten too long titles, and add a description below (#14820)
shorten too long titles, and add a description below
Diffstat (limited to 'docs')
-rw-r--r--docs/guides/collect-apache-nginx-web-logs.md22
-rw-r--r--docs/guides/monitor/kubernetes-k8s-netdata.md14
-rw-r--r--docs/guides/monitor/lamp-stack.md13
-rw-r--r--docs/guides/monitor/raspberry-pi-anomaly-detection.md14
-rw-r--r--docs/guides/using-host-labels.md24
5 files changed, 23 insertions, 64 deletions
diff --git a/docs/guides/collect-apache-nginx-web-logs.md b/docs/guides/collect-apache-nginx-web-logs.md
index dc3afc045d..e9b38c27e5 100644
--- a/docs/guides/collect-apache-nginx-web-logs.md
+++ b/docs/guides/collect-apache-nginx-web-logs.md
@@ -1,20 +1,8 @@
-<!--
-title: "Monitor Nginx or Apache web server log files with Netdata"
-sidebar_label: "Monitor Nginx or Apache web server log files with Netdata"
-custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/collect-apache-nginx-web-logs.md
-learn_status: "Published"
-learn_topic_type: "Tasks"
-learn_rel_path: "Miscellaneous"
--->
-
-# Monitor Nginx or Apache web server log files with Netdata
-
-Log files have been a critical resource for developers and system administrators who want to understand the health and
-performance of their web servers, and Netdata is taking important steps to make them even more valuable.
-
-By parsing web server log files with Netdata, and seeing the volume of redirects, requests, or server errors over time,
-you can better understand what's happening on your infrastructure. Too many bad requests? Maybe a recent deploy missed a
-few small SVG icons. Too many requests? Time to batten down the hatches—it's a DDoS.
+# Monitor Nginx or Apache web server log files
+
+Parsing web server log files with Netdata, revealing the volume of redirects, requests and other metrics, can give you a better overview of your infrastructure.
+
+Too many bad requests? Maybe a recent deploy missed a few small SVG icons. Too many requests? Time to batten down the hatches—it's a DDoS.
You can use the [LTSV log format](http://ltsv.org/), track TLS and cipher usage, and the whole parser is faster than
ever. In one test on a system with SSD storage, the collector consistently parsed the logs for 200,000 requests in
diff --git a/docs/guides/monitor/kubernetes-k8s-netdata.md b/docs/guides/monitor/kubernetes-k8s-netdata.md
index cdf482ce11..96d79935ba 100644
--- a/docs/guides/monitor/kubernetes-k8s-netdata.md
+++ b/docs/guides/monitor/kubernetes-k8s-netdata.md
@@ -1,14 +1,6 @@
-<!--
-title: "Kubernetes monitoring with Netdata: Overview and visualizations"
-sidebar_label: "Kubernetes monitoring with Netdata: Overview and visualizations"
-description: "Learn how to navigate Netdata's Kubernetes monitoring features for visualizing the health and performance of a Kubernetes cluster with per-second granularity."
-image: /img/seo/guides/monitor/kubernetes-k8s-netdata.png
-custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/monitor/kubernetes-k8s-netdata.md
-learn_status: "Published"
-learn_rel_path: "Miscellaneous"
--->
-
-# Kubernetes monitoring with Netdata: Overview and visualizations
+# Kubernetes monitoring with Netdata
+
+This document gives an overview of what visualizations Netdata provides on Kubernetes deployments.
At Netdata, we've built Kubernetes monitoring tools that add visibility without complexity while also helping you
actively troubleshoot anomalies or outages. This guide walks you through each of the visualizations and offers best
diff --git a/docs/guides/monitor/lamp-stack.md b/docs/guides/monitor/lamp-stack.md
index 73ab4dfd83..190ea87e86 100644
--- a/docs/guides/monitor/lamp-stack.md
+++ b/docs/guides/monitor/lamp-stack.md
@@ -1,15 +1,8 @@
-<!--
-title: "LAMP stack monitoring (Linux, Apache, MySQL, PHP) with Netdata"
-sidebar_label: "LAMP stack monitoring (Linux, Apache, MySQL, PHP) with Netdata"
-description: "Set up robust LAMP stack monitoring (Linux, Apache, MySQL, PHP) in just a few minutes using a free, open-source monitoring tool that collects metrics every second."
-image: /img/seo/guides/monitor/lamp-stack.png
-custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/monitor/lamp-stack.md
-learn_status: "Published"
-learn_rel_path: "Miscellaneous"
--->
import { OneLineInstallWget } from '@site/src/components/OneLineInstall/'
-# LAMP stack monitoring (Linux, Apache, MySQL, PHP) with Netdata
+# LAMP stack monitoring with Netdata
+
+Set up robust LAMP stack monitoring (Linux, Apache, MySQL, PHP) in a few minutes using Netdata.
The LAMP stack is the "hello world" for deploying dynamic web applications. It's fast, flexible, and reliable, which
means a developer or sysadmin won't go far in their career without interacting with the stack and its services.
diff --git a/docs/guides/monitor/raspberry-pi-anomaly-detection.md b/docs/guides/monitor/raspberry-pi-anomaly-detection.md
index 175ddd1ac6..935d0f6cfb 100644
--- a/docs/guides/monitor/raspberry-pi-anomaly-detection.md
+++ b/docs/guides/monitor/raspberry-pi-anomaly-detection.md
@@ -1,14 +1,6 @@
-<!--
-title: "Unsupervised anomaly detection for Raspberry Pi monitoring"
-sidebar_label: "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
-custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/monitor/raspberry-pi-anomaly-detection.md
-learn_status: "Published"
-learn_rel_path: "Miscellaneous"
--->
-
-# Unsupervised anomaly detection for Raspberry Pi monitoring
+# 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.
diff --git a/docs/guides/using-host-labels.md b/docs/guides/using-host-labels.md
index 4dfa90a1fe..588df4030f 100644
--- a/docs/guides/using-host-labels.md
+++ b/docs/guides/using-host-labels.md
@@ -1,18 +1,12 @@
-<!--
-title: "Use host labels to organize systems, metrics, and alarms"
-sidebar_label: "Use host labels to organize systems, metrics, and alarms"
-custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/guides/using-host-labels.md
-learn_status: "Published"
-learn_rel_path: "Operations"
--->
-
-# Use host labels to organize systems, metrics, and alarms
-
-When you use Netdata to monitor and troubleshoot an entire infrastructure, whether that's dozens or hundreds of systems,
-you need sophisticated ways of keeping everything organized. You need alarms that adapt to the system's purpose, or
-whether the parent or child in a streaming setup. You need properly-labeled metrics archiving so you can sort,
-correlate, and mash-up your data to your heart's content. You need to keep tabs on ephemeral Docker containers in a
-Kubernetes cluster.
+# Using host labels to organize your metrics
+
+When you use Netdata to monitor and troubleshoot an entire infrastructure, you need sophisticated ways of keeping everything organized.
+
+Some of the scenarios that host labels can be extremely useful are:
+
+- You need alarms that adapt to the system's purpose
+- You need properly-labeled metrics archiving so you can sort, correlate, and mash-up your data to your heart's content.
+- You need to keep tabs on ephemeral Docker containers in a Kubernetes cluster.
You need **host labels**: a powerful new way of organizing your Netdata-monitored systems. We introduced host labels in
[v1.20 of Netdata](https://blog.netdata.cloud/posts/release-1.20/), and they come pre-configured out of the box.