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Building AI agents is one thing—scaling them in production is another. In this video, Shawn Pitts from Grafana Labs shows you how to move beyond manual testing and gain full visibility into your Google Gemini-powered agents.
Discover how to use the Grafana Sigil SDK to instrument your code and unlock deep observability in Grafana Cloud. Learn how to track performance, debug tool execution, and automate your entire investigation workflow using Slack and Claude.
Watch along and learn:
* *How to nstrument with Sigil:* How to add lightweight wrappers to your agent code without changing your underlying logic.
* *Grafana cloud observability:* Monitoring agent health, latency, error rates, and token usage.
* *The "Tools" tab:* How to inspect tool calls, inputs, and outputs to understand exactly how your agent behaves.
* Automated troubleshooting:* Using the Grafana Slack app to trigger investigations and having Claude build a remediation plan for you.
🔗 Resources:
* *AI observability integration docs* → https://g.dev/ai/observability-integration-grafana-cloud
_This is your primary guide for setting up GenAI monitoring, including how to track LLM metrics, cost, quality evaluations, and VectorDB performance._
* Grafana cloud documentation* → https://g.dev/ai/grafana-cloud-docs
_The main hub for all managed Grafana services. If you're looking for how to get data into Grafana, start here_
#Grafana #Gemini #AI #Observability #DevOps #LLM #GenAI
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Speaker: Shawn PittsProducts Mentioned: Grafana Cloud & Grafana AI Observability, Grafana Sigil SDK, Grafana Assistant, Google Gemini, Google Agent Development Kit, Claude, Cursor, OpenTelemetry
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