Integrate Datadog with Tiger Cloud

Datadog is a cloud-based monitoring and analytics platform. Export telemetry data from your Tiger Cloud service with time-series and analytics capability to Datadog

Datadog is a cloud-based monitoring and analytics platform that provides comprehensive visibility into applications, infrastructure, and systems through real-time monitoring, logging, and analytics.

This page explains how to:

• Monitor metrics with Datadog

  This integration is available for Scale and Enterprise pricing plans.

• Configure Datadog Agent to collect metrics for your

  This integration is available for all pricing plans.

Prerequisites

To follow the steps on this page:

• Create a target with time-series and analytics enabled.

  You need your connection details.

• Sign up for Datadog.

  You need your Datadog API key to follow this procedure.

• Install Datadog Agent.

Monitor metrics with Datadog

Export telemetry data from your s with the time-series and analytics capability enabled to Datadog using a data exporter. The available metrics include CPU usage, RAM usage, and storage.

Create a data exporter

A data exporter sends telemetry data from a to a third-party monitoring tool. You create an exporter on the project level, in the same AWS region as your :

Manage a data exporter

This section shows you how to attach, monitor, edit, and delete a data exporter.

Attach a data exporter to a

To send telemetry data to an external monitoring tool, you attach a data exporter to your . You can attach only one exporter to a .

To attach an exporter:

Monitor metrics

You can now monitor your metrics. Use the following metrics to check the service is running correctly:

• timescale.cloud.system.cpu.usage.millicores
• timescale.cloud.system.cpu.total.millicores
• timescale.cloud.system.memory.usage.bytes
• timescale.cloud.system.memory.total.bytes
• timescale.cloud.system.disk.usage.bytes
• timescale.cloud.system.disk.total.bytes

Additionally, use the following tags to filter your results.

Tag	Example variable	Description
host	us-east-1.timescale.cloud
project-id
service-id
region	us-east-1	AWS region
role	replica or primary	For with replicas
node-id		For multi-node services

Edit a data exporter

To update a data exporter:

Delete a data exporter

To remove a data exporter that you no longer need:

Reference

When you create the IAM OIDC provider, the URL must match the region you create the exporter in. It must be one of the following:

Region	Zone	Location	URL
ap-southeast-1	Asia Pacific	Singapore	irsa-oidc-discovery-prod-ap-southeast-1.s3.ap-southeast-1.amazonaws.com
ap-southeast-2	Asia Pacific	Sydney	irsa-oidc-discovery-prod-ap-southeast-2.s3.ap-southeast-2.amazonaws.com
ap-northeast-1	Asia Pacific	Tokyo	irsa-oidc-discovery-prod-ap-northeast-1.s3.ap-northeast-1.amazonaws.com
ca-central-1	Canada	Central	irsa-oidc-discovery-prod-ca-central-1.s3.ca-central-1.amazonaws.com
eu-central-1	Europe	Frankfurt	irsa-oidc-discovery-prod-eu-central-1.s3.eu-central-1.amazonaws.com
eu-west-1	Europe	Ireland	irsa-oidc-discovery-prod-eu-west-1.s3.eu-west-1.amazonaws.com
eu-west-2	Europe	London	irsa-oidc-discovery-prod-eu-west-2.s3.eu-west-2.amazonaws.com
sa-east-1	South America	São Paulo	irsa-oidc-discovery-prod-sa-east-1.s3.sa-east-1.amazonaws.com
us-east-1	United States	North Virginia	irsa-oidc-discovery-prod.s3.us-east-1.amazonaws.com
us-east-2	United States	Ohio	irsa-oidc-discovery-prod-us-east-2.s3.us-east-2.amazonaws.com
us-west-2	United States	Oregon	irsa-oidc-discovery-prod-us-west-2.s3.us-west-2.amazonaws.com

Configure Datadog Agent to collect metrics for your s

Datadog Agent includes a integration that you use to collect detailed database metrics about your s.

1. Connect to your

   For , open an SQL editor in . For , use psql.

2. Add the datadog user to your

   create user datadog with password '<password>';
   

   grant pg_monitor to datadog;
   

   grant SELECT ON pg_stat_database to datadog;
   

3. Test the connection and rights for the datadog user

   Update the following command with your connection details, then run it from the command line:

    psql "postgres://datadog:<datadog password>@<host>:<port>/tsdb?sslmode=require" -c \
    "select * from pg_stat_database LIMIT(1);" \
    && echo -e "\e[0;32mPostgres connection - OK\e[0m" || echo -e "\e[0;31mCannot connect to Postgres\e[0m"
   

   You see the output from the pg_stat_database table, which means you have given the correct rights to datadog.

4. Connect Datadog to your

   1. Open the datadog agent configuration file, usually located at:

      • Linux: /etc/datadog-agent/conf.d/postgres.d/conf.yaml
      • MacOS: /opt/datadog-agent/etc/conf.d/postgres.d/conf.yaml
      • Windows: C:\ProgramData\Datadog\conf.d\postgres.d\conf.yaml

   2. Integrate Datadog Agent with your

      Use your connection details to update the following and add it to the datadog agent configuration file:

      init_config:
      
      instances:
      - host: <host>
        port: <port>
        username: datadog
        password: <datadog's password>>
        dbname: tsdb
        disable_generic_tags: true
      

5. Add metrics

   Tags to make it easier for build Datadog dashboards that combine metrics from the data exporter and Datadog Agent. Use your connection details to update the following and add it to <datadog_home>/datadog.yaml:

   tags:
     - project-id:<project-id>
     - service-id:<service-id>
     - region:<region>
   

6. Restart Datadog Agent

   See how to Start, stop, and restart Datadog Agent.

Metrics for your are now visible in Datadog. Check the Datadog integration documentation for a comprehensive list of metrics collected.