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VictoriaMetrics/docs/scrape_config_examples.md

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docs
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/scrape_config_examples.html

Static configs

Let's start from a simple case with scraping targets at pre-defined addresses. Create a scrape.yaml file with the following contents:

scrape_configs:
- job_name: node-exporter
  static_configs:
  - targets:
    - localhost:9100

After you created the scrape.yaml file, download and unpack single-node VictoriaMetrics to the same directory:

wget https://github.com/VictoriaMetrics/VictoriaMetrics/releases/download/v1.107.0/victoria-metrics-linux-amd64-v1.107.0.tar.gz
tar xzf victoria-metrics-linux-amd64-v1.107.0.tar.gz

Then start VictoriaMetrics and instruct it to scrape targets defined in scrape.yaml and save scraped metrics to local storage according to these docs:

./victoria-metrics-prod -promscrape.config=scrape.yaml

Now open the http://localhost:8428/targets page in web browser in order to see the current status for scrape targets. The page must contain the information about the target at http://localhost:9100/metrics url. It is likely the target has state: down if you didn't start node-exporter on localhost.

Let's add a new scrape config to scrape.yaml for scraping VictoriaMetrics metrics:

scrape_configs:
- job_name: node-exporter
  static_configs:
  - targets:
    - localhost:9100
- job_name: victoriametrics
  static_configs:
  - targets:
    - http://localhost:8428/metrics

Note that the last specified target contains the full url instead of host and port. This is an extension supported by VictoriaMetrics and vmagent - you can use both host:port and full urls in scrape target lists.

Send SIGHUP signal victoria-metrics-prod process, so it reloads the updated scrape.yaml:

kill -HUP `pidof victoria-metrics-prod`

Now the http://localhost:8428/targets page must contain two targets - http://localhost:9100/metrics and http://localhost:8428/metrics. The last one should have state: up, since this is VictoriaMetrics itself.

Let's query the scraped metrics. Open http://localhost:8428/vmui/ aka vmui, enter up in the query input field and press enter. You'll see a graph for up metrics. It must contain two lines for the targets defined in scrape.yaml file above. See these docs about up metric. You can explore other scraped metrics in vmui via Prometheus metrics explorer.

Let's look closely to the contents of the scrape.yaml file created above:

scrape_configs:
- job_name: node-exporter
  static_configs:
  - targets:
    - localhost:9100
- job_name: victoriametrics
  static_configs:
  - targets:
    - http://localhost:8428/metrics

The scrape_configs section contains a list of scrape configs. Our scrape.yaml file contains two scrape configs - for job_name: node-exporter and for job_name: victoriametrics. vmagent and single-node VictoriaMetrics can efficiently process thousands of scrape configs in production.

Every scrape config in the list must contain job_name field - its' value is used as job label in all the metrics scraped from targets defined in this scrape config. Every scrape config must contain at least a single section from this list. Every scrape config may contain other options described here.

In our case only static_configs sections are used. These sections consist of a list of static configs according to these docs. Every static config contains a list of targets, which need to be scraped. The target address is used as instance label in all the metrics scraped from the target.

vmagent and single-node VictoriaMetrics can efficiently process tens of thousands of targets in production. If you need scraping more targets, then see these docs.

Targets are scraped at http or https urls, which are formed according to these rules. It is possible to modify scrape urls via relabeling if needed.

File-based target discovery

It may be not so convenient updating scrape.yaml file with static_configs every time new scrape target is added, changed or removed. In this case file_sd_configs can come to rescue. It allows defining a list of scrape targets in JSON files, and automatically updating the list of scrape targets at vmagent or single-node VictoriaMetrics side when the corresponding JSON files are updated.

Let's create node_exporter_targets.json file with the following contents:

[
  {
    "targets": ["host1:9100", "host2:9100"]
  }
]

Then create scrape.yaml file with the following contents:

scrape_configs:
- job_name: node-exporter
  file_sd_configs:
  - files:
    - node_exporter_targets.json

Then start single-node VictoriaMetrics according to these docs:

# Download and unpack single-node VictoriaMetrics
wget https://github.com/VictoriaMetrics/VictoriaMetrics/releases/download/v1.107.0/victoria-metrics-linux-amd64-v1.107.0.tar.gz
tar xzf victoria-metrics-linux-amd64-v1.107.0.tar.gz

# Run single-node VictoriaMetrics with the given scrape.yaml
./victoria-metrics-prod -promscrape.config=scrape.yaml

Then open http://localhost:8428/targets page in web browser and see that it contains the two targets defined in node_exporter_targets.json above.

Now let's add more targets to node_exporter_targets.json:

[
  {
    "targets": ["host1:9100", "host2:9100", "http://host3:9100/metrics", "http://host4:9100/metrics"]
  }
]

Note that the added targets contains full urls instead of host and port. This is an extension supported by VictoriaMetrics and vmagent - you can use both host:port and full urls in scrape target lists.

Save the updated node_exporter_targets.json, wait for 30 seconds and then refresh the http://localhost:8428/targets page. Now this page must contain all the targets defined in the updated node_exporter_targets.json. By default vmagent and single-node VictoriaMetrics check for updates in files specified at file_sd_configs every 30 seconds. This interval can be changed via -promscrape.fileSDCheckInterval command-line flag. For example, the following command starts VictoriaMetrics, which checks for updates in file_sd_configs every 5 seconds:

./victoria-metrics-prod -promscrape.config=scrape.yaml -promscrape.fileSDCheckInterval=5s

If the files contents is broken during the check, then the previous list of scrape targets is kept.

It is possible specifying http and/or https urls in files list. For example, the following config instructs obtaining fresh list of targets at http://central-config-server/targets?type=node-exporter url additionally to node_exporter_targets.json local file:

scrape_configs:
- job_name: node-exporter
  file_sd_configs:
  - files:
    - node_exporter_targets.json
    - 'http://central-config-server/targets?type=node-exporter'

It is possible to specify directories with * wildcards for distinct sets of targets at file_sd_configs. See these docs for details.

vmagent and single-node VictoriaMetrics can efficiently scrape tens of thousands of scrape targets. If you need scraping more targets, then see these docs.

Targets are scraped at http or https urls, which are formed according to these rules. It is possible to modify scrape urls via relabeling if needed.

HTTP-based target discovery

It may not so convenient maintaining a list of local files for file_sd_configs. In this case http_sd_configs can help. They allow specifying a list of http or https urls, which return targets, which need to be scraped. For example, the following -promscrape.config periodically fetches the list of targets from the specified url:

scrape_configs:
- job_name: node-exporter
  http_sd_configs:
  - url: "http://central-config-server/targets?type=node-exporter"

Kubernetes target discovery

Kubernetes target discovery is non-trivial task in general. That's why it is recommended using either victoria-metrics-k8s-stack Helm chart or VictoriaMetrics operator for Kubernetes for Kubernetes monitoring.

If you feel brave, let's look at a few typical cases for Kubernetes monitoring.

Discovering and scraping node-exporter targets in Kubernetes

The following -promscrape.config instructs discovering and scraping all the node-exporter targets inside Kubernetes cluster:

scrape_configs:
- job_name: node-exporter
  kubernetes_sd_configs:
  - role: pod
  relabel_configs:

    # Leave only targets with `node-exporter` container name.
    # If node-exporter containers have another name in your Kubernetes cluster,
    # then adjust the regex value accordingly.
    #
  - source_labels: [__meta_kubernetes_pod_container_name]
    regex: node-exporter
    action: keep

    # Copy node name into `node` label, so node-exporter targets
    # can be attributed to a particular node.
    #
  - source_labels: [__meta_kubernetes_pod_node_name]
    target_label: node

See kubernetes_sd_configs docs for more details.

See relabeling docs for details on relabel_configs.

Discovering and scraping kube-state-metrics in Kubernetes

kube-state-metrics is a special metrics exporter, which exposes state metrics for all the Kubernetes objects such as container, pod, node, etc. It already sets namespace, container, pod and node labels for every exposed metric, so these metrics shouldn't be set in target relabeling.

The following -promscrape.config instructs discovering and scraping kube-state-metrics target inside Kubernetes cluster:

scrape_configs:
- job_name: kube-state-metrics
  kubernetes_sd_configs:
  - role: pod
  relabel_configs:

    # Leave only targets with `kube-state-metrics` container name.
    # If kube-state-metrics container has another name in your Kubernetes cluster,
    # then adjust the regex value accordingly.
  - source_labels: [__meta_kubernetes_pod_container_name]
    regex: kube-state-metrics
    action: keep

    # kube-state-metrics container may expose multiple ports.
    # We need scraping only the e.g. service port, and do not need scraping e.g. telemetry port.
    # The kube-state-metrics service port usually equals to 8080.
    # Modify the regex accordingly if you use other port for kube-state-metrics.
    #
  - source_labels: [__meta_kubernetes_pod_container_port_number]
    regex: "8080"
    action: keep

See kubernetes_sd_configs docs for more details.

See relabeling docs for details on relabel_configs.

Discovering and scraping metrics from cadvisor

cadvisor exposes resource usage metrics for every container in Kubernetes. The following -promscrape.config can be used for collecting cadvisor metrics in Kubernetes:

scrape_configs:
- job_name: cadvisor
  kubernetes_sd_configs:
    # Cadvisor is installed on every Kubernetes node, so use `role: node` service discovery
    #
  - role: node

  # This is needed for scraping cadvisor metrics from Kubernetes API server proxy.
  # See relabel_configs below.
  #
  bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
  tls_config:
    ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt

  relabel_configs:
    # Cadvisor metrics are better to scrape from Kubernetes API server proxy.
    # There is no need to add container, pod and node labels to the scraped metrics,
    # since cadvisor adds these labels on itself.
    #
  - source_labels: [__meta_kubernetes_node_name]
    target_label: __address__
    regex: '(.+)'
    replacement: https://kubernetes.default.svc/api/v1/nodes/$1/proxy/metrics/cadvisor
  - source_labels: [__meta_kubernetes_node_name]
    target_label: instance

See kubernetes_sd_configs docs for more details.

See relabeling docs for details on relabel_configs.

See these docs for details on bearer_token_file and tls_config options.

Discovering and scraping metrics for a particular container in Kubernetes

The following -promscrape.config instructs discovering and scraping metrics for all the containers with the name my-super-app. It is expected that these containers expose only a single TCP port, which serves its metrics at /metrics page according to Prometheus text exposition format:

scrape_configs:
- job_name: my-super-app
  kubernetes_sd_configs:
  - role: pod
  relabel_configs:

    # Leave only targets with the container name, which matches the `job_name` specified above
    # See https://docs.victoriametrics.com/relabeling/#how-to-modify-instance-and-job for details on `job` label.
    #
  - source_labels: [__meta_kubernetes_pod_container_name]
    target_label: job
    action: keepequal

    # Keep namespace, node, pod and container labels, so they can be used
    # for joining additional `state` labels exposed by kube-state-metrics
    # for the particular target.
    #
  - source_labels: [__meta_kubernetes_namespace]
    target_label: namespace
  - source_labels: [__meta_kubernetes_pod_node_name]
    target_label: node
  - source_labels: [__meta_kubernetes_pod_name]
    target_label: pod
  - source_labels: [__meta_kubernetes_pod_container_name]
    target_label: container

See kubernetes_sd_configs docs for more details.

See relabeling docs for details on relabel_configs.