Datadog is a monitoring and analytics platform that helps teams track the performance of their applications and infrastructure. With Relevance AI, you can elevate your monitoring experience by utilizing AI Agents to analyze metrics and automate responses effectively.
Datadog provides robust monitoring and analytics capabilities, while Relevance AI empowers you to leverage those insights through AI Agents that can automate decision-making and trigger actions based on real-time data.
Real-Time Observability Mastery
The AI agent gains comprehensive visibility across all infrastructure layers, enabling instant system health assessment and proactive monitoring.
Predictive Performance Intelligence
Leverages historical data patterns to forecast potential system issues before they impact operations, enhancing preventive maintenance capabilities.
Automated Incident Orchestration
Seamlessly coordinates incident response workflows by correlating alerts, diagnosing root causes, and initiating automated remediation steps.
Relevance AI seamlessly integrates with Datadog to enhance your monitoring workflows with intelligent insights.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Datadog account
- A Relevance AI account with access to your projects and datasets
- Authorization (you'll connect securely using API keys—no sensitive info stored manually)
Security & Reliability
The integration leverages secure API authentication between Datadog and Relevance AI, enabling automated metric submission and monitoring capabilities. Relevance AI handles the complexities of API operations, authentication, and regional endpoint management in the background—allowing you to focus on your monitoring needs without worrying about implementation details.
Built-in metric validation and data formatting ensure reliable submission to Datadog's API endpoints, while supporting features like batch processing and automatic retries.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
To get the most out of the Datadog + Relevance AI integration without writing code:
- Start with clear metric naming: Use consistent and descriptive names for your metrics to ensure clarity in monitoring.
- Utilize batch submissions: Group multiple metrics into a single API call to optimize performance and reduce the number of requests.
- Verify API keys and permissions: Double-check that your Datadog API and Application keys have the necessary permissions for metric submission.
- Test API calls with sample data: Before deploying, test your API calls with sample metrics to ensure everything is functioning correctly.
- Monitor for errors: Set up alerts for failed submissions and keep an eye on API response times to quickly address any issues.
