Overview
Connect to Prometheus to:
- Extract custom metrics from Prometheus endpoints
- See Prometheus Alertmanager alerts in your Datadog event stream
Note: Datadog recommends using the OpenMetrics check since it is more efficient and fully supports Prometheus text format. Use the Prometheus check only when the metrics endpoint does not support a text format.
All the metrics retrieved by this integration are considered
custom metrics.
See the Prometheus metrics collection Getting Started to learn how to configure a Prometheus Check.
Setup
Follow the instructions below to install and configure this check for an Agent running on a host. For containerized environments, see the Autodiscovery Integration Templates for guidance on applying these instructions.
Installation
The Prometheus check is packaged with the Datadog Agent starting version 6.1.0.
Configuration
Edit the prometheus.d/conf.yaml file to retrieve metrics from applications that expose OpenMetrics / Prometheus end points.
Each instance is at least composed of:
| Setting | Description |
|---|
prometheus_url | A URL that points to the metric route (Note: must be unique) |
namespace | This namespace is prepended to all metrics (to avoid metrics name collision) |
metrics | A list of metrics to retrieve as custom metrics in the form - <METRIC_NAME> or - <METRIC_NAME>: <RENAME_METRIC> |
When listing metrics, it’s possible to use the wildcard * like this - <METRIC_NAME>* to retrieve all matching metrics. Note: use wildcards with caution as it can potentially send a lot of custom metrics.
More advanced settings (ssl, labels joining, custom tags,…) are documented in the sample prometheus.d/conf.yaml
Due to the nature of this integration, it’s possible to submit a high number of custom metrics to Datadog. Users can control the maximum number of metrics sent for configuration errors or input changes. The check has a default limit of 2000 metrics. If needed, this limit can be increased by setting the option max_returned_metrics in the prometheus.d/conf.yaml file.
If send_monotonic_counter: True, the Agent sends the deltas of the values in question, and the in-app type is set to count (this is the default behavior). If send_monotonic_counter: False, the Agent sends the raw, monotonically increasing value, and the in-app type is set to gauge.
Validation
Run the Agent’s status subcommand and look for prometheus under the Checks section.
Data Collected
Metrics
All metrics collected by the prometheus check are forwarded to Datadog as custom metrics.
Note: Bucket data for a given <HISTOGRAM_METRIC_NAME> Prometheus histogram metric are stored in the <HISTOGRAM_METRIC_NAME>.count metric within Datadog with the tags upper_bound including the name of the buckets. To access the +Inf bucket, use upper_bound:none.
Events
Prometheus Alertmanager alerts are automatically sent to your Datadog event stream following the webhook configuration.
Service Checks
The Prometheus check does not include any service checks.
Prometheus Alertmanager
Send Prometheus Alertmanager alerts in the event stream. Natively, Alertmanager sends all alerts simultaneously to the configured webhook. To see alerts in Datadog, you must configure your instance of Alertmanager to send alerts one at a time. You can add a group-by parameter under route to have alerts grouped by the actual name of the alert rule.
Setup
- Edit the Alertmanager configuration file,
alertmanager.yml, to include the following:
receivers:
- name: datadog
webhook_configs:
- send_resolved: true
url: https://app.datadoghq.com/intake/webhook/prometheus?api_key=<DATADOG_API_KEY>
route:
group_by: ['alertname']
group_wait: 10s
group_interval: 5m
receiver: datadog
repeat_interval: 3h
Note: This endpoint accepts only one event in the payload at a time.
- Restart the Prometheus and Alertmanager services.
sudo systemctl restart prometheus.service alertmanager.service
Troubleshooting
Need help? Contact Datadog support.
Further Reading
