Set up Datadog monitoring with an Oracle database

Jul 13, 20242 min read

To set up Datadog monitoring with an Oracle database, you'll need to follow several steps to ensure proper integration and data collection. This involves setting up the Oracle database, configuring Datadog, and ensuring that the necessary permissions and configurations are in place. Here's a step-by-step guide:

Step 1: Install the Datadog Agent

Create a Datadog Account:

Install the Datadog Agent:

Follow the instructions specific to your operating system. Here is an example for a Linux-based system: bash Copy code DD_AGENT_MAJOR_VERSION=7 DD_API_KEY=<YOUR_API_KEY> DD_SITE="datadoghq.com" bash -c "$(curl -L https://s3.amazonaws.com/dd-agent/scripts/install_script.sh)"
Replace <YOUR_API_KEY> with your Datadog API key, which you can find in your Datadog account.

Step 2: Install and Configure the Oracle Integration

Install the Oracle Integration:

The Oracle integration is available as part of the Datadog Agent. You may need to install additional dependencies if they are not already installed.
Install the Oracle client libraries on the server where the Datadog Agent is running. Refer to Oracle's documentation for the installation of these libraries.

Configure the Oracle Integration:

Edit the oracle.yaml configuration file found in the Datadog Agent’s conf.d directory. The file path is typically /etc/datadog-agent/conf.d/oracle.d/.
Here’s an example configuration: yaml Copy code init_config: custom_queries: - query: "SELECT count(*) FROM v$session WHERE status = 'ACTIVE'" columns: - name: active_sessions type: gauge instances: - server: "<ORACLE_SERVER_IP>" port: <ORACLE_PORT> service_name: "<SERVICE_NAME>" user: "<DB_USERNAME>" password: "<DB_PASSWORD>" tags: - "env:production" - "db:oracle"

Step 3: Create a Monitoring User in Oracle

Create a Read-Only User:

Connect to your Oracle database and create a user with the necessary read-only permissions.
Example SQL commands: CREATE USER datadog IDENTIFIED BY <PASSWORD>; GRANT CONNECT TO datadog; GRANT SELECT ANY DICTIONARY TO datadog; GRANT SELECT ON V_$SESSION TO datadog; GRANT SELECT ON V_$INSTANCE TO datadog;
Replace <PASSWORD> with a strong password.

Step 4: Configure Oracle Metrics Collection

Enable Oracle Metrics:

Ensure that your Oracle database is configured to collect the necessary metrics. This might include enabling STATSPACK or AWR, depending on your Oracle version and licensing.

Test the Configuration:

Restart the Datadog Agent to apply the new configuration: sudo systemctl restart datadog-agent
Check the agent status to ensure it’s collecting Oracle metrics: datadog-agent status

Step 5: Verify Metrics in Datadog

Log in to Datadog:

Go to the Datadog dashboard and navigate to the metrics section.

Verify Oracle Metrics:

Look for Oracle-related metrics and ensure data is being collected.
Create dashboards and set up alerts as needed to monitor the health and performance of your Oracle database.

Additional Resources

By following these steps, you can successfully integrate Datadog with your Oracle database and ensure comprehensive monitoring and alerting for your database environment.