summaryrefslogtreecommitdiffstats
path: root/docs/collect/application-metrics.md
blob: e5f90394607cc6afe6b3b9a0545b51e1afa3602d (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
<!--
title: "Collect application metrics with Netdata"
sidebar_label: "Application metrics"
description: "Monitor and troubleshoot every application on your infrastructure with per-second metrics, zero configuration, and meaningful charts."
custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/collect/application-metrics.md
-->

# Collect application metrics with Netdata

Netdata instantly collects per-second metrics from many different types of applications running on your systems, such as
web servers, databases, message brokers, email servers, search platforms, and much more. Metrics collectors are
pre-installed with every Netdata Agent and usually require zero configuration. Netdata also collects and visualizes
resource utilization per application on Linux systems using `apps.plugin`.

[**apps.plugin**](/collectors/apps.plugin/README.md) looks at the Linux process tree every second, much like `top` or
`ps fax`, and collects resource utilization information on every running process. By reading the process tree, Netdata
shows CPU, disk, networking, processes, and eBPF for every application or Linux user. Unlike `top` or `ps fax`, Netdata
adds a layer of meaningful visualization on top of the process tree metrics, such as grouping applications into useful
dimensions, and then creates per-application charts under the **Applications** section of a Netdata dashboard, per-user
charts under **Users**, and per-user group charts under **User Groups**.

Our most popular application collectors:

-   [Prometheus endpoints](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/prometheus): Gathers
    metrics from one or more Prometheus endpoints that use the OpenMetrics exposition format. Autodetects more than 600
    endpoints.
-   [Web server logs (Apache, NGINX)](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/weblog/):
    Tail access logs and provide very detailed web server performance statistics. This module is able to parse 200k+
    rows in less than half a second.
-   [MySQL](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/mysql/): Collect database global,
    replication, and per-user statistics.
-   [Redis](/collectors/python.d.plugin/redis/): Monitor database status by reading the server's response to the `INFO`
    command.
-   [Apache](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/apache/): Collect Apache web
    server performance metrics via the `server-status?auto` endpoint.
-   [Nginx](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/nginx/): Monitor web server
    status information by gathering metrics via `ngx_http_stub_status_module`.
-   [Postgres](/collectors/python.d.plugin/postgres/README.md): Collect database health and performance metrics. 
-   [ElasticSearch](/collectors/python.d.plugin/elasticsearch/README.md): Collect search engine performance and health
    statistics. Optionally collects per-index metrics.
-   [PHP-FPM](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/phpfpm/): Collect application
    summary and processes health metrics by scraping the status page (`/status?full`).

Our [supported collectors list](/collectors/COLLECTORS.md#service-and-application-collectors) shows all Netdata's
application metrics collectors, including those for containers/k8s clusters.

## Collect metrics from applications running on Windows

Netdata is fully capable of collecting and visualizing metrics from applications running on Windows systems. The only
caveat is that you must [install the Agent](/docs/get/README.md) on a separate system or a compatible VM because there
is no native Windows version of the Netdata Agent.

Once you have the Agent running on that separate system, you can follow the [enable and configure
doc](/docs/collect/enable-configure.md) to tell the collector to look for exposed metrics on the Windows system's IP
address or hostname, plus the applicable port.

For example, you have a MySQL database with a root password of `my-secret-pw` running on a Windows system with the IP
address 203.0.113.0. you can configure the [MySQL
collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/mysql) to look at `203.0.113.0:3306`:

```yml
jobs:
  - name: local
    dsn: root:my-secret-pw@tcp(203.0.113.0:3306)/
```

This same logic applies to any application in our [supported collectors
list](/collectors/COLLECTORS.md#service-and-application-collectors) that can run on Windows.

## What's next?

If you haven't yet seen the [supported collectors list](/collectors/COLLECTORS.md) give it a once-over for any
additional applications you may want to monitor using Netdata's native collectors, or the [generic Prometheus
collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/prometheus).

Collecting all the available metrics on your nodes, and across your entire infrastructure, is just one piece of the
puzzle. Next, learn more about Netdata's famous real-time visualizations by [seeing an overview of your
infrastructure](/docs/visualize/overview-infrastructure.md) using Netdata Cloud.

[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Fcollect%2Fapplication-metrics&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)