Integrating Render with Datadog

Datadog is an observability platform for cloud-scale applications. You can integrate your Render services and databases with Datadog to enable fine-tuned metrics, monitoring, and automated alerting.

Although core Postgres metrics are available in the Render Dashboard, integrating with Datadog can provide more detailed metrics about the Postgres instance host environment. You can also use Datadog as a centralized location for dashboards and automated alerts.

Getting started

Sign up for a Datadog account if you don't already have one. Then, create or retrieve an API key from your Datadog organization settings page:

Datadog API settings

Make sure to create an API key for your organization. The Datadog integration doesn't support using an application key or a user-scoped API key.

You can confirm that you've correctly generated an API key by calling Datadog's validate endpoint with your key.

Setting up Postgres monitoring

Adding an API key enables a Datadog agent to run alongside your Render Postgres instance and report metrics to your Datadog account. All metrics reported by the agent are native to the Datadog platform, so you aren't billed for custom metrics.

Render currently supports only the Datadog sites US1, US3, US5, and EU1. Postgres monitoring is not supported with other Datadog sites (such as AP1, AP2, and US1-FED).

For new databases

While creating a Postgres database, provide your Datadog API key in the corresponding field:

Add Datadog for new databases

For existing databases

Add your Datadog API key from the Info tab of your database's page on the Render Dashboard (in the General section, click Add Datadog API Key).

This requires a restart of your Postgres instance, which causes brief downtime.

Add Datadog for existing databases

Available metrics

Render fully supports all of the following Datadog integrations (see the linked documentation for metrics details):

IntegrationDescription
PostgresMetrics related to your PostgreSQL instance
DiskMetrics related to disk usage and IO for your Postgres volume
NetworkMetrics related to TCP/IP network stats of instance

In addition, Render reports the following metrics:

MetricDescription
system.cpu.num_coresThe number of CPUs, as chosen by your database instance type
system.cpu.systemThe percentage of time the CPU spent running the kernel
system.cpu.userThe percentage of time the CPU spent running user space processes
system.mem.freeThe amount of free RAM
system.mem.totalThe total amount of physical RAM, as chosen by your database instance type
system.mem.usedThe amount of RAM in use

Viewing metrics in Datadog

You can view reported metrics from any Datadog dashboard or metrics explorer page. You can filter metrics by the database-id tag equal to your Render Postgres database ID.

Datadog Postgres metrics

Streaming service logs and metrics

You can use Datadog as your observability provider for Render log streams and metrics streams. This enables you to inspect logs and metrics from your Render services directly in your Datadog dashboard.

Stream logs

Use HTTPS to stream logs to Datadog.

Datadog has deprecated TCP log forwarding. If you previously configured a Datadog syslog endpoint (such as intake.logs.datadoghq.com:10516), replace it with the appropriate HTTPS endpoint from the table below.

To set up log streams, follow the general setup steps, then enter the following values:

  • Log Endpoint: The HTTPS intake URL for your Datadog site:

    Datadog SiteLog Endpoint

    US1

    https://http-intake.logs.datadoghq.com/api/v2/logs

    US3

    https://http-intake.logs.us3.datadoghq.com/api/v2/logs

    US5

    https://http-intake.logs.us5.datadoghq.com/api/v2/logs

    EU1

    https://http-intake.logs.datadoghq.eu/api/v2/logs

    AP1

    https://http-intake.logs.ap1.datadoghq.com/api/v2/logs

    US1-FED

    https://http-intake.logs.ddog-gov.com/api/v2/logs

  • Token: Your organization-level Datadog API key.

Render sends logs to Datadog as JSON array payloads, for example:

Stream metrics

For metrics streams, follow the general metrics stream setup and provide your organization-level Datadog API key and your Datadog site.