Use case
Snowflake for Observability
Gain the visibility you need to act with confidence across your AI, apps, pipelines and infrastructure.
Overview
Tracing data across disparate systems can be unwieldy. Illuminate your AI and data with comprehensive observability
Observability is a critical foundation for modern AI and data initiatives, but seeing across all your stacks can be hard — especially at scale. Snowflake Trail simplifies monitoring, troubleshooting and optimization across your data ecosystem.
Streamline setup
Get going with built-in observability in a few steps, and export telemetry data to your preferred third-party tools as needed.
Demystify AI performance
Evaluate AI quality, compare model configurations and trace execution flows without exporting sensitive data.
Troubleshoot faster
Address bottlenecks quicker with deeper, more unified visibility across applications, pipelines and infrastructure.
Benefits
Simplify observability for always-on optimization with Snowflake Trail
Quicker Insights
Get more from your data, faster
Just turn telemetry collection on to quickly diagnose and debug issues. For added flexibility, integrate with your preferred observability tools like Observe, Datadog or Grafana.
AI-ready
Build trustworthy AI
Evaluate and trace your AI agents and apps in Snowflake. Deploy high-performing, accurate and reliable AI faster.
Eliminate guesswork
Scale with confidence
Transform overwhelming data into clear insights ready for action. Proactively spot and resolve issues, optimize performance and reduce downtime.
End-to-end visibility
Monitor across workloads
See what’s happening in your AI, apps, pipelines and infrastructure with Snowflake Trail while maintaining data governance in a unified workflow — something that’s not possible with siloed observability tools.
Get Started
Take the next stepwith Snowflake
Start your 30-day free Snowflake trial today
- $400 in free usage to start
- Immediate access to the AI Data Cloud
- Enable your most critical data workloads
Snowflake for Observability
FAQs
Get quick answers to your observability questions, and learn how Snowflake Trail helps you gain visibility across your AI and data ecosystem for better performance and troubleshooting.
Snowflake Trail is Snowflake’s built-in observability solution. Snowflake Trail provides the visibility you need to monitor, troubleshoot and optimize your AI, applications, pipelines and infrastructure.
It helps you understand the performance and behavior of your AI systems and data pipelines, enabling faster troubleshooting, better performance and increased trust.
Observability allows you to evaluate AI model quality, compare configurations and trace execution flows, helping you build more trustworthy and efficient AI agents and apps directly within Snowflake.
Yes. Snowflake integrates seamlessly with popular observability tools like Observe, Datadog and Grafana, allowing you to export telemetry data.
With Snowflake Trail, you can leverage Snowflake’s built-in telemetry or integrate with your existing observability tools.
It can help you pinpoint performance bottlenecks, debug errors in your apps and data pipelines and evaluate the performance of your AI agents and apps.
