# 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](/docs/netdata-cloud/organize-your-infrastructure-invite-your-team.md#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](/docs/netdata-cloud/organize-your-infrastructure-invite-your-team.md#rooms) in a space bring together nodes and people in collaboration areas. Rooms can also be used for fine-tuned [role-based access control](/docs/netdata-cloud/authentication-and-authorization/role-based-access-model.md). ## 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` ```yaml - hostname: win_server1 guid: <value> ``` Remember to use a valid guid (On Linux you can use `uuidgen` command to generate one, on Windows use the `[guid]::NewGuid()` command in PowerShell) * Add the vnode config to the data collection job. e.g., in `go.d/windows.conf`: ```yaml 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 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 features below. You can see them under `http://HOST-IP:19999/api/v1/info`, beginning with an underscore `_`. ```json { ... "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`. ```bash 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: * Names can’t start with `_`, but it can be present in other parts of the name. * Names only accept alphabet letters, numbers, dots, and dashes. The policy for values is more flexible, but you can’t use exclamation marks (`!`), whitespaces (` `), single quotes (`'`), double quotes (`"`), or asterisks (`*`), because they’re used to compare label values in health alerts and templates. ```text [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: ```bash 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: ```json { ... "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](/src/streaming/README.md#securing-streaming-with-tlsssl) for details. You may also want to use [access lists](/src/web/server/README.md#access-lists) or [expose the API only to LAN/localhost connections](/docs/netdata-agent/securing-netdata-agents.md#restrict-dashboard-access-to-private-lan). 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: ```text [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`: ```yaml 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: ```yaml 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: ```yaml host labels: _is_child = true ``` Or when ephemeral Docker nodes are involved: ```yaml host labels: _container = docker ``` Of course, there are many more possibilities for intuitively organizing your systems with host labels. See the [health documentation](/src/health/REFERENCE.md#alert-line-host-labels) for more details, and then get creative! ### Host labels in metrics exporting If you have enabled any metrics exporting via our experimental [exporters](/src/exporting/README.md), 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. ```text [exporting:global] enabled = yes send configured labels = yes send automatic labels = no ``` You can also change this behavior per exporting connection: ```text [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](/src/exporting/README.md). ## 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: ```yaml 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.