Integrating Render with Datadog – Render Docs

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:

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:

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.

Available metrics

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

Integration Description
Postgres Metrics related to your PostgreSQL instance
Disk Metrics related to disk usage and IO for your Postgres volume
Network Metrics related to TCP/IP network stats of instance

In addition, Render reports the following metrics:

Metric Description
system.cpu.num_cores The number of CPUs, as chosen by your database compute plan
system.cpu.system The percentage of time the CPU spent running the kernel
system.cpu.user The percentage of time the CPU spent running user space processes
system.mem.free The amount of free RAM
system.mem.total The total amount of physical RAM, as chosen by your database compute plan
system.mem.used The 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.

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:

Datadog Site Log 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.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

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

[
  {
    "message": "hello world",
    "ddsource": "render",
    "service": "srv-abc123",
    "hostname": "web-sx7j4",
    "ddtags": "deploy:dep-1,build:bld-1,level:info"
  }
]

Stream metrics

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