(metrics)=
# How to monitor metrics

<!-- Include start metrics intro -->
Incus collects metrics for all running instances as well as some internal metrics.
These metrics cover the CPU, memory, network, disk and process usage.
They are meant to be consumed by Prometheus, and you can use Grafana to display the metrics as graphs.
See {ref}`provided-metrics` for lists of available metrics.
<!-- Include end metrics intro -->

In a cluster environment, Incus returns only the values for instances running on the server that is being accessed.
Therefore, you must scrape each cluster member separately.

The instance metrics are updated when calling the `/1.0/metrics` endpoint.
To handle multiple scrapers, they are cached for 8 seconds.
Fetching metrics is a relatively expensive operation for Incus to perform, so if the impact is too high, consider scraping at a higher than default interval.

## Query the raw data

To view the raw data that Incus collects, use the [`incus query`](incus_query.md) command to query the `/1.0/metrics` endpoint:

```{terminal}
:input: incus query /1.0/metrics

# HELP incus_cpu_seconds_total The total number of CPU time used in seconds.
# TYPE incus_cpu_seconds_total counter
incus_cpu_seconds_total{cpu="0",mode="system",name="u1",project="default",type="container"} 60.304517
incus_cpu_seconds_total{cpu="0",mode="user",name="u1",project="default",type="container"} 145.647502
incus_cpu_seconds_total{cpu="0",mode="iowait",name="vm",project="default",type="virtual-machine"} 4614.78
incus_cpu_seconds_total{cpu="0",mode="irq",name="vm",project="default",type="virtual-machine"} 0
incus_cpu_seconds_total{cpu="0",mode="idle",name="vm",project="default",type="virtual-machine"} 412762
incus_cpu_seconds_total{cpu="0",mode="nice",name="vm",project="default",type="virtual-machine"} 35.06
incus_cpu_seconds_total{cpu="0",mode="softirq",name="vm",project="default",type="virtual-machine"} 2.41
incus_cpu_seconds_total{cpu="0",mode="steal",name="vm",project="default",type="virtual-machine"} 9.84
incus_cpu_seconds_total{cpu="0",mode="system",name="vm",project="default",type="virtual-machine"} 340.84
incus_cpu_seconds_total{cpu="0",mode="user",name="vm",project="default",type="virtual-machine"} 261.25
# HELP incus_cpu_effective_total The total number of effective CPUs.
# TYPE incus_cpu_effective_total gauge
incus_cpu_effective_total{name="u1",project="default",type="container"} 4
incus_cpu_effective_total{name="vm",project="default",type="virtual-machine"} 0
# HELP incus_disk_read_bytes_total The total number of bytes read.
# TYPE incus_disk_read_bytes_total counter
incus_disk_read_bytes_total{device="loop5",name="u1",project="default",type="container"} 2048
incus_disk_read_bytes_total{device="loop3",name="vm",project="default",type="virtual-machine"} 353280
...
```

## Set up Prometheus

To gather and store the raw metrics, you should set up [Prometheus](https://prometheus.io/).
You can then configure it to scrape the metrics through the metrics API endpoint.

### Expose the metrics endpoint

To expose the `/1.0/metrics` API endpoint, you must set the address on which it should be available.

To do so, you can set either the {config:option}`server-core:core.metrics_address` server configuration option or the {config:option}`server-core:core.https_address` server configuration option.
The `core.metrics_address` option is intended for metrics only, while the `core.https_address` option exposes the full API.
So if you want to use a different address for the metrics API than for the full API, or if you want to expose only the metrics endpoint but not the full API, you should set the `core.metrics_address` option.

For example, to expose the full API on the `8443` port, enter the following command:

    incus config set core.https_address ":8443"

To expose only the metrics API endpoint on the `8444` port, enter the following command:

    incus config set core.metrics_address ":8444"

To expose only the metrics API endpoint on a specific IP address and port, enter a command similar to the following:

    incus config set core.metrics_address "192.0.2.101:8444"

### Add a metrics certificate to Incus

Authentication for the `/1.0/metrics` API endpoint is done through a metrics certificate.
A metrics certificate (type `metrics`) is different from a client certificate (type `client`) in that it is meant for metrics only and doesn't work for interaction with instances or any other Incus entities.

To create a certificate, enter the following command:

    openssl req -x509 -newkey ec -pkeyopt ec_paramgen_curve:secp384r1 -sha384 -keyout metrics.key -nodes -out metrics.crt -days 3650 -subj "/CN=metrics.local"

```{note}
The command requires OpenSSL version 1.1.0 or later.
```

Then add this certificate to the list of trusted clients, specifying the type as `metrics`:

    incus config trust add-certificate metrics.crt --type=metrics

If requiring TLS client authentication isn't possible in your environment, the `/1.0/metrics` API endpoint can be made available to unauthenticated clients.
While not recommended, this might be acceptable if you have other controls in place to restrict who can reach that API endpoint. To disable the authentication on the metrics API:

```bash
# Disable authentication (NOT RECOMMENDED)
incus config set core.metrics_authentication false
```

### Make the metrics certificate available for Prometheus

If you run Prometheus on a different machine than your Incus server, you must copy the required certificates to the Prometheus machine:

- The metrics certificate (`metrics.crt`) and key (`metrics.key`) that you created
- The Incus server certificate (`server.crt`) located in `/var/lib/incus/`

Copy these files into a `tls` directory that is accessible to Prometheus, for example, `/etc/prometheus/tls`.
See the following example commands:

```bash
# Create tls directory
mkdir /etc/prometheus/tls/

# Copy newly created certificate and key to tls directory
cp metrics.crt metrics.key /etc/prometheus/tls/

# Copy Incus server certificate to tls directory
cp /var/lib/incus/server.crt /etc/prometheus/tls/

# Make the files accessible by prometheus
chown -R prometheus:prometheus /etc/prometheus/tls
```

### Configure Prometheus to scrape from Incus

Finally, you must add Incus as a target to the Prometheus configuration.

To do so, edit `/etc/prometheus/prometheus.yaml` and add a job for Incus.

Here's what the configuration needs to look like:

```yaml
global:
  # How frequently to scrape targets by default. The Prometheus default value is 1m.
  scrape_interval: 15s

scrape_configs:
  - job_name: incus
    metrics_path: '/1.0/metrics'
    scheme: 'https'
    static_configs:
      - targets: ['foo.example.com:8443']
    tls_config:
      ca_file: 'tls/server.crt'
      cert_file: 'tls/metrics.crt'
      key_file: 'tls/metrics.key'
      # XXX: server_name is required if the target name
      #      is not covered by the certificate (not in the SAN list)
      server_name: 'foo'
```

````{note}
* The `scrape_interval` is assumed to be 15s by the Grafana Prometheus data source by default.
If you decide to use a different `scrape_interval` value, you must change it in both the Prometheus configuration and the Grafana Prometheus data source configuration.
Otherwise the Grafana `$__rate_interval` value will be calculated incorrectly and possibly cause a `no data` response in queries using it.

* The `server_name` must be specified if the Incus server certificate does not contain the same host name as used in the `targets` list.
To verify this, open `server.crt` and check the Subject Alternative Name (SAN) section.

For example, assume that `server.crt` has the following content:

```{terminal}
:input: openssl x509 -noout -text -in /etc/prometheus/tls/server.crt

...
            X509v3 Subject Alternative Name:
                DNS:foo, IP Address:127.0.0.1, IP Address:0:0:0:0:0:0:0:1
...
```

Since the Subject Alternative Name (SAN) list doesn't include the host name provided in the `targets` list (`foo.example.com`), you must override the name used for comparison using the `server_name` directive.
````

Here is an example of a `prometheus.yml` configuration where multiple jobs are used to scrape the metrics of multiple Incus servers:

```yaml
global:
  # How frequently to scrape targets by default. The Prometheus default value is 1m.
  scrape_interval: 15s

scrape_configs:
  # abydos, langara and orilla are part of a single cluster (called `hdc` here)
  # initially bootstrapped by abydos which is why all 3 targets
  # share the same `ca_file` and `server_name`. That `ca_file` corresponds
  # to the `/var/lib/incus/cluster.crt` file found on every member of
  # the Incus cluster.
  #
  # Note: When the `project` param is provided, it overrides the `default` project
  #       and if not specified will pull all projects.
  #
  # Note: each member of the cluster only provide metrics for instances it runs locally
  #       this is why the `incus-hdc` cluster lists 3 targets
  - job_name: "incus-hdc"
    metrics_path: '/1.0/metrics'
    params:
      project: ['jdoe']
    scheme: 'https'
    static_configs:
      - targets:
        - 'abydos.hosts.example.net:8444'
        - 'langara.hosts.example.net:8444'
        - 'orilla.hosts.example.net:8444'
    tls_config:
      ca_file: 'tls/abydos.crt'
      cert_file: 'tls/metrics.crt'
      key_file: 'tls/metrics.key'
      server_name: 'abydos'

  # jupiter, mars and saturn are 3 standalone Incus servers.
  # Note: only the `default` project is used on them, so it is not specified.
  - job_name: "incus-jupiter"
    metrics_path: '/1.0/metrics'
    scheme: 'https'
    static_configs:
      - targets: ['jupiter.example.com:9101']
    tls_config:
      ca_file: 'tls/jupiter.crt'
      cert_file: 'tls/metrics.crt'
      key_file: 'tls/metrics.key'
      server_name: 'jupiter'

  - job_name: "incus-mars"
    metrics_path: '/1.0/metrics'
    scheme: 'https'
    static_configs:
      - targets: ['mars.example.com:9101']
    tls_config:
      ca_file: 'tls/mars.crt'
      cert_file: 'tls/metrics.crt'
      key_file: 'tls/metrics.key'
      server_name: 'mars'

  - job_name: "incus-saturn"
    metrics_path: '/1.0/metrics'
    scheme: 'https'
    static_configs:
      - targets: ['saturn.example.com:9101']
    tls_config:
      ca_file: 'tls/saturn.crt'
      cert_file: 'tls/metrics.crt'
      key_file: 'tls/metrics.key'
      server_name: 'saturn'
```

After editing the configuration, restart Prometheus (for example, `systemctl restart prometheus`) to start scraping.

## Set up a Grafana dashboard

To visualize the metrics data, set up [Grafana](https://grafana.com/).
Incus provides a [Grafana dashboard](https://grafana.com/grafana/dashboards/19727-incus/) that is configured to display the Incus metrics scraped by Prometheus and log entries from Loki.

```{note}
The dashboard requires Grafana 8.4 or later with both Prometheus and
Loki configured as data sources in Grafana.

It's possible to add a placeholder Loki data source in Grafana to make
it possible to import the dashboard in an environment that doesn't have
a fully set up Loki server. After import, remove the log sections at the
bottom of the dashboard and then remove the placeholder Loki data source.

Incus logging to Loki is configured through the [relevant server configuration](server-options-logging).
```

See the Grafana documentation for instructions on installing and signing in:

- [Install Grafana](https://grafana.com/docs/grafana/latest/setup-grafana/installation/)
- [Sign in to Grafana](https://grafana.com/docs/grafana/latest/setup-grafana/sign-in-to-grafana/)

Complete the following steps to import the [Incus dashboard](https://grafana.com/grafana/dashboards/19727-incus/):

1. Configure Prometheus as a data source:

   1. Go to {guilabel}`Configuration` > {guilabel}`Data sources`.
   1. Click {guilabel}`Add data source`.

      ![Add data source in Grafana](images/grafana_add_datasource.png)

   1. Select {guilabel}`Prometheus`.

      ![Select Prometheus as the data source](images/grafana_select_prometheus.png)

   1. In the {guilabel}`URL` field, enter `http://localhost:9090/` if running Prometheus locally.

      ![Enter Prometheus URL](images/grafana_configure_datasource.png)

   1. Keep the default configuration for the other fields and click {guilabel}`Save & test`.

1. Configure [Loki](https://grafana.com/oss/loki/) as a data source:

   1. Go to {guilabel}`Configuration` > {guilabel}`Data sources`.
   1. Click {guilabel}`Add data source`.
   1. Select {guilabel}`Loki`.
   1. In the {guilabel}`URL` field, enter `http://localhost:3100/` if running Loki locally.
   1. Keep the default configuration for the other fields and click {guilabel}`Save & test`.

1. Import the Incus dashboard:

   1. Go to {guilabel}`Dashboards` > {guilabel}`Browse`.
   1. Click {guilabel}`New` and select {guilabel}`Import`.

      ![Import a dashboard in Grafana](images/grafana_dashboard_import.png)

   1. In the {guilabel}`Import via grafana.com` field, enter the dashboard ID `19727`.

      ![Enter the Incus dashboard ID](images/grafana_dashboard_id.png)

   1. Click {guilabel}`Load`.
   1. In the {guilabel}`Incus` drop-down menu, select the Prometheus and Loki data sources that you configured.

      ![Select the Prometheus data source](images/grafana_dashboard_select_datasource.png)

   1. Click {guilabel}`Import`.

You should now see the Incus dashboard.
You can select the project and filter by instances.

![Resource overview in the Incus Grafana dashboard](images/grafana_resources.png)

At the bottom of the page, you can see data for each instance.

![Instance data in the Incus Grafana dashboard](images/grafana_instances.png)

```{note}
For proper operation of the Loki part of the dashboard, you need to ensure that the `instance` field matches the Prometheus job name.
You can change the `instance` field through the `logging.*.target.instance` configuration key.
```
