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-rw-r--r--docs/guides/monitor/anomaly-detection.md4
-rw-r--r--docs/guides/monitor/kubernetes-k8s-netdata.md8
-rw-r--r--docs/guides/monitor/lamp-stack.md2
-rw-r--r--docs/guides/monitor/statsd.md7
4 files changed, 11 insertions, 10 deletions
diff --git a/docs/guides/monitor/anomaly-detection.md b/docs/guides/monitor/anomaly-detection.md
index f680f5f2e..2d8b6d1d6 100644
--- a/docs/guides/monitor/anomaly-detection.md
+++ b/docs/guides/monitor/anomaly-detection.md
@@ -23,7 +23,7 @@ library](https://github.com/yzhao062/pyod/tree/master), which periodically runs
quantify how anomalous certain charts are.
All these metrics and alarms are available for centralized monitoring in [Netdata Cloud](https://app.netdata.cloud). If
-you choose to sign up for Netdata Cloud and [claim your nodes](/claim/README.md), you will have the ability to run
+you choose to sign up for Netdata Cloud and [coonect your nodes](/claim/README.md), you will have the ability to run
tailored anomaly detection on every node in your infrastructure, regardless of its purpose or workload.
In this guide, you'll learn how to set up the anomalies collector to instantly detect anomalies in an Nginx web server
@@ -123,7 +123,7 @@ configure the collector to monitor charts from the
log](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/weblog) collectors.
`charts_regex` allows for some basic regex, such as wildcards (`*`) to match all contexts with a certain pattern. For
-example, `system\..*` matches with any chart wit ha context that begins with `system.`, and ends in any number of other
+example, `system\..*` matches with any chart with a context that begins with `system.`, and ends in any number of other
characters (`.*`). Note the escape character (`\`) around the first period to capture a period character exactly, and
not any character.
diff --git a/docs/guides/monitor/kubernetes-k8s-netdata.md b/docs/guides/monitor/kubernetes-k8s-netdata.md
index c5cb2c1bc..5d4886e68 100644
--- a/docs/guides/monitor/kubernetes-k8s-netdata.md
+++ b/docs/guides/monitor/kubernetes-k8s-netdata.md
@@ -45,9 +45,9 @@ To follow this tutorial, you need:
- A free Netdata Cloud account. [Sign up](https://app.netdata.cloud/sign-up?cloudRoute=/spaces) if you don't have one
already.
-- A working cluster running Kubernetes v1.9 or newer, with a Netdata deployment and claimed parent/child nodes. See
+- A working cluster running Kubernetes v1.9 or newer, with a Netdata deployment and connected parent/child nodes. See
our [Kubernetes deployment process](/packaging/installer/methods/kubernetes.md) for details on deployment and
- claiming.
+ conneting to Cloud.
- The [`kubectl`](https://kubernetes.io/docs/reference/kubectl/overview/) command line tool, within [one minor version
difference](https://kubernetes.io/docs/tasks/tools/install-kubectl/#before-you-begin) of your cluster, on an
administrative system.
@@ -98,10 +98,10 @@ robot-shop web-8bb887476-lkcjx 1/1 Running 0 14m
## Explore Netdata's Kubernetes monitoring charts
The Netdata Helm chart deploys and enables everything you need for monitoring Kubernetes on every layer. Once you deploy
-Netdata and claim your cluster's nodes, you're ready to check out the visualizations **with zero configuration**.
+Netdata and connect your cluster's nodes, you're ready to check out the visualizations **with zero configuration**.
To get started, [sign in](https://app.netdata.cloud/sign-in?cloudRoute=/spaces) to your Netdata Cloud account. Head over
-to the War Room you claimed your cluster to, if not **General**.
+to the War Room you connected your cluster to, if not **General**.
Netdata Cloud is already visualizing your Kubernetes metrics, streamed in real-time from each node, in the
[Overview](https://learn.netdata.cloud/docs/cloud/visualize/overview):
diff --git a/docs/guides/monitor/lamp-stack.md b/docs/guides/monitor/lamp-stack.md
index 95aa03f0b..38b9d0bef 100644
--- a/docs/guides/monitor/lamp-stack.md
+++ b/docs/guides/monitor/lamp-stack.md
@@ -167,7 +167,7 @@ If the Netdata Agent isn't already open in your browser, open a new tab and navi
> If you [signed up](https://app.netdata.cloud/sign-up?cloudRoute=/spaces) for Netdata Cloud earlier, you can also view
> the exact same LAMP stack metrics there, plus additional features, like drag-and-drop custom dashboards. Be sure to
-> [claim your node](/claim/README.md) to start streaming metrics to your browser through Netdata Cloud.
+> [connecting your node](/claim/README.md) to start streaming metrics to your browser through Netdata Cloud.
Netdata automatically organizes all metrics and charts onto a single page for easy navigation. Peek at gauges to see
overall system performance, then scroll down to see more. Click-and-drag with your mouse to pan _all_ charts back and
diff --git a/docs/guides/monitor/statsd.md b/docs/guides/monitor/statsd.md
index 120715b19..e4f04c575 100644
--- a/docs/guides/monitor/statsd.md
+++ b/docs/guides/monitor/statsd.md
@@ -22,14 +22,15 @@ In general, the process for creating a StatsD collector can be summarized in 2 s
- Run an experiment by sending StatsD metrics to Netdata, without any prior configuration. This will create a chart per metric (called private charts) and will help you verify that everything works as expected from the application side of things.
- Make sure to reload the dashboard tab **after** you start sending data to Netdata.
-- Create a configuration file for your app using [edit-config](https://learn.netdata.cloud/guides/step-by-step/step-04): `sudo ./edit-config statsd.d/myapp.conf`
+- Create a configuration file for your app using [edit-config](/docs/configure/nodes.md): `sudo ./edit-config
+ statsd.d/myapp.conf`
- Each app will have it's own section in the right-hand menu.
Now, let's see the above process in detail.
## Prerequisites
-- A node with the [Netdata Agent](https://learn.netdata.cloud/docs/get#install-the-netdata-agent) installed.
+- A node with the [Netdata](/docs/get-started.mdx) installed.
- An application to instrument. For this guide, that will be [k6](https://k6.io/docs/getting-started/installation).
## Understanding the metrics
@@ -110,7 +111,7 @@ Find more details about family and context in our [documentation](/web/README.md
Now, having decided on how we are going to group the charts, we need to define how we are going to group metrics into different charts. This is particularly important, since we decide:
- What metrics **not** to show, since they are not useful for our use-case.
-- What metrics to consolidate into the same charts, so as to reduce noice and increase visual correlation.
+- What metrics to consolidate into the same charts, so as to reduce noise and increase visual correlation.
The dimension option has this syntax: `dimension = [pattern] METRIC NAME TYPE MULTIPLIER DIVIDER OPTIONS`