Set Up Azure Cognitive Services
- Log in to your Azure Portal. Navigate to the "Create a resource" section and choose "AI + Machine Learning" from the left sidebar, then select "Cognitive Services."
- Fill in the necessary details like Subscription, Resource Group, and Name. Choose the appropriate Pricing Tier based on your expected usage and preferred Location.
- Review and create the resource. Once created, go to your Cognitive Services dashboard to retrieve your API keys and endpoint URL. You'll need them later for integration.
Install Datadog Agent
- Log in to your Datadog account. Navigate to the "Integrations" section, and locate the "Agent" integration.
- Follow the instructions to download and install the Datadog Agent on your machine or cloud environment where you wish to monitor Azure Cognitive Services. Instructions will vary based on your operating system.
- During installation, add your Datadog API key. This will enable the agent to send metrics to your Datadog account.
Configure Azure Integration in Datadog
Set Up Metric Collection
- In the Datadog Azure integration settings, ensure you have the Cognitive Services resource enabled. This will allow Datadog to collect metrics and data from your Azure Cognitive Services account.
- Define what metrics you want to collect, such as request count, latency, or errors. These metrics can provide valuable insights into usage patterns and potential issues with your services.
Create Custom Dashboards and Alerts
- Use the Datadog dashboard builder to create visualizations for Cognitive Services metrics. Customize your dashboard to show key metrics like usage rates, error counts, and response times.
- Set up alerts for any critical metrics that require immediate attention. Configure thresholds, choose notification channels, and decide how frequently you should be alerted about specific events.
Test and Validate Integration
- Perform operations through Azure Cognitive Services such as sentiment analysis or vision recognition, and confirm that the data is reflected in your Datadog dashboard.
- Verify that alerts are triggered correctly by simulating scenarios that would breach set thresholds. Adjust parameters as needed to reduce false positives.
Troubleshooting
- If you encounter issues, refer to Datadog's integration logs accessible through their web app to diagnose problems.
- Check network connectivity between the Datadog Agent and Azure to ensure there are no disruptions. Firewalls or security groups that block outgoing traffic can cause failure in metric collection.