Datadog is a monitoring and analytics platform for cloud applications. It provides real-time visibility into Active Directory metrics, helping administrators ensure the health and performance of AD DS.
- Windows Server with Active Directory Domain Services (AD DS)
- Datadog Agent installed on AD DS servers
- Create an account on the Datadog website.
- Obtain an API key for agent installation.
- Download the Datadog Agent for Windows from the Datadog website.
- Install the agent on all AD DS servers:
msiexec.exe /i datadog-agent-<version>.msi APIKEY=<Your_API_Key>
- Configure the agent to collect Windows Event Logs and performance metrics by editing the
datadog.yaml
file:logs_enabled: true init_config: instances: - type: eventlog channel_path: "System" - type: eventlog channel_path: "Security" - type: eventlog channel_path: "Application"
Steps:
- Log in to the Datadog web interface.
- Navigate to "Integrations" > "Agent" > "Configuration".
- Ensure the agent is properly installed and reporting metrics.
- Configure the agent to collect additional AD-specific metrics if needed.
Expected Output:
- The Datadog Agent is configured and collecting data from AD DS servers.
Steps:
- Go to "Dashboards" and click "New Dashboard".
- Add new widgets for key AD metrics (e.g., CPU usage, memory usage, logon events).
- Configure each widget's visualization and data source.
- Arrange the widgets and save the dashboard.
Expected Output:
- A dashboard displaying real-time AD metrics is created.
Steps:
- Ensure the Datadog Agent is collecting Windows Event Logs.
- Create a new widget in the dashboard for logon events.
- Use a query to filter logon events:
source:win32_event_log eventID:4624
- Configure the widget and save the changes.
Expected Output:
- A widget displaying real-time logon events is added to the dashboard.
Steps:
- Go to "Monitors" and click "New Monitor".
- Select the metric to monitor (e.g., CPU usage).
- Define the alert conditions (e.g., if CPU usage > 80% for 5 minutes).
- Configure notification channels and save the monitor.
Expected Output:
- Alerts are set up to notify administrators of potential AD performance issues.
Steps:
- Create new widgets in the dashboard for security metrics (e.g., failed logon attempts, account lockouts).
- Use appropriate queries to filter the data.
- Configure the visualization for each widget.
- Arrange the widgets to create a comprehensive security overview.
Expected Output:
- A security-focused section in the dashboard displaying key AD security metrics.
By following this project, you will set up a comprehensive Active Directory monitoring system using Datadog, enabling you to visualize and monitor AD health, performance, and security events in real-time.