Organize systems, metrics, and alerts

When you use Netdata to monitor and troubleshoot an entire infrastructure, you need sophisticated ways of keeping everything organized. Netdata allows organizing your observability infrastructure with Spaces, Rooms, virtual nodes, host labels, and metric labels.

Spaces and Rooms

Spaces are used for organization-level or infrastructure-level grouping of nodes and people. A node can only appear in a single space, while people can have access to multiple spaces.

The Rooms in a space bring together nodes and people in collaboration areas. Rooms can also be used for fine-tuned role-based access control.

Virtual nodes

Netdata’s virtual nodes functionality allows you to define nodes in configuration files and have them be treated as regular nodes in all the UI, dashboards, tabs, filters, etc. For example, you can create a virtual node each for all your Windows machines and monitor them as discrete entities. Virtual nodes can help you simplify your infrastructure monitoring and focus on the individual node that matters.

To define your windows server as a virtual node you need to:

Define virtual nodes in /etc/netdata/vnodes/vnodes.conf
```
- hostname: win_server1
  guid: <value>
```

Just remember to use a valid guid (On Linux you can use uuidgen command to generate one, on Windows just use the [guid]::NewGuid() command in PowerShell)

Add the vnode config to the data collection job. e.g., in go.d/windows.conf:

  jobs:
    - name: win_server1
      vnode: win_server1
      url: http://203.0.113.10:9182/metrics

Host labels

Host labels can be extremely useful when:

You need alerts 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.

Let's take a peek into how to create host labels and apply them across a few of Netdata's features to give you more organization power over your infrastructure.

Default labels

When Netdata starts, it captures relevant information about the system and converts them into automatically generated host labels. You can use these to logically organize your systems via health entities, exporting metrics, parent-child status, and more.

They capture the following:

Kernel version
Operating system name and version
CPU architecture, system cores, CPU frequency, RAM, and disk space
Whether Netdata is running inside of a container, and if so, the OS and hardware details about the container's host
Whether Netdata is running inside K8s node
What virtualization layer the system runs on top of, if any
Whether the system is a streaming parent or child

If you want to organize your systems without manually creating host labels, try the automatic labels in some of the features below. You can see them under http://HOST-IP:19999/api/v1/info, beginning with an underscore _.

{
  ...
  "host_labels": {
    "_is_k8s_node": "false",
    "_is_parent": "false",
    ...

Custom labels

Host labels are defined in netdata.conf. To create host labels, open that file using edit-config.

cd /etc/netdata   # Replace this path with your Netdata config directory, if different
sudo ./edit-config netdata.conf

Create a new [host labels] section defining a new host label and its value for the system in question. Make sure not to violate any of the host label naming rules.

[host labels]
    type = webserver
    location = us-seattle
    installed = 20200218

Once you've written a few host labels, you need to enable them. Instead of restarting the entire Netdata service, you can reload labels using the helpful netdatacli tool:

netdatacli reload-labels

Your host labels will now be enabled. You can double-check these by using curl http://HOST-IP:19999/api/v1/info to read the status of your agent. For example, from a VPS system running Debian 10:

{
  ...
  "host_labels": {
    "_is_k8s_node": "false",
    "_is_parent": "false",
    "_virt_detection": "systemd-detect-virt",
    "_container_detection": "none",
    "_container": "unknown",
    "_virtualization": "kvm",
    "_architecture": "x86_64",
    "_kernel_version": "4.19.0-6-amd64",
    "_os_version": "10 (buster)",
    "_os_name": "Debian GNU/Linux",
    "type": "webserver",
    "location": "seattle",
    "installed": "20200218"
  },
  ...
}

Host labels in streaming

You may have noticed the _is_parent and _is_child automatic labels from above. Host labels are also now streamed from a child to its parent node, which concentrates an entire infrastructure's OS, hardware, container, and virtualization information in one place: the parent.

Now, if you'd like to remind yourself of how much RAM a certain child node has, you can access http://localhost:19999/host/CHILD_HOSTNAME/api/v1/info and reference the automatically generated host labels from the child system. It's a vastly simplified way of accessing critical information about your infrastructure.

⚠️ Because automatic labels for child nodes are accessible via API calls, and contain sensitive information like kernel and operating system versions, you should secure streaming connections with SSL. See the streaming documentation for details. You may also want to use access lists or expose the API only to LAN/localhost connections.

You can also use _is_parent, _is_child, and any other host labels in both health entities and metrics exporting. Speaking of which...

Host labels in alerts

You can use host labels to logically organize your systems by their type, purpose, or location, and then apply specific alerts to them.

For example, let's use configuration example from earlier:

[host labels]
    type = webserver
    location = us-seattle
    installed = 20200218

You could now create a new health entity (checking if disk space runs out soon) that applies only to any host labeled webserver:

    template: disk_fill_rate
    on: disk.space
    lookup: max -1s at -30m unaligned of avail
    calc: ($this - $avail) / (30 * 60)
    every: 15s
    host labels: type = webserver

Or, by using one of the automatic labels, for only webserver systems running a specific OS:

 host labels: _os_name = Debian*

In a streaming configuration where a parent node is triggering alerts for its child nodes, you could create health entities that apply only to child nodes:

 host labels: _is_child = true

Or when ephemeral Docker nodes are involved:

 host labels: _container = docker

Of course, there are many more possibilities for intuitively organizing your systems with host labels. See the health documentation for more details, and then get creative!

Host labels in metrics exporting

If you have enabled any metrics exporting via our experimental exporters, any new host labels you created manually are sent to the destination database alongside metrics. You can change this behavior by editing exporting.conf, and you can even send automatically generated labels on with exported metrics.

[exporting:global]
enabled = yes
send configured labels = yes
send automatic labels = no

You can also change this behavior per exporting connection:

[opentsdb:my_instance3]
enabled = yes
destination = localhost:4242
data source = sum
update every = 10
send charts matching = system.cpu
send configured labels = no
send automatic labels = yes

By applying labels to exported metrics, you can more easily parse historical metrics with the labels applied. To learn more about exporting, read the documentation.

Metric labels

The Netdata aggregate charts allow you to filter and group metrics based on label name-value pairs.

All go.d plugin collectors support the specification of labels at the "collection job" level. Some collectors come without of the box labels (e.g. generic Prometheus collector, Kubernetes, Docker and more). But you can also add your own custom labels by configuring the data collection jobs.

For example, suppose we have a single Netdata agent, collecting data from two remote Apache web servers, located in different data centers. The web servers are load balanced and provide access to the service "Payments".

You can define the following in go.d.conf, to be able to group the web requests by service or location:

jobs:
  - name: my_webserver1
    url: http://host1/server-status?auto
    labels:
      service: "Payments"
      location: "Atlanta"
  - name: my_webserver2
    url: http://host2/server-status?auto
    labels:
      service: "Payments"
      location: "New York"

Of course, you may define as many custom label/value pairs as you like, in as many data collection jobs you need.

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