Grafana Cloud for Google Gemini agent observability
Platform for monitoring Google Gemini AI agents, tracking health, latency, errors, and token usage.
Grafana Cloud
Providing deep observability into Google Gemini-powered AI agents, including performance, tool execution, and token usage.
Unknown
https://g.dev/ai/grafana
Grafana Cloud offers full visibility into Google Gemini agents, moving beyond manual testing. It monitors agent health, latency, error rates, and token usage, and allows inspection of tool calls and outputs.
It ingests telemetry data from instrumented agent code, providing dashboards and tools to analyze agent behavior and performance in production.
- How to monitor & optimize Google Gemini agents with Grafana Cloud ↗Grafana Labs · Google Cloud Tech on YouTube · Sep 3, 2026 · paraphrased
First seen on Subvolts Sep 3, 2026. Updated Sep 11, 2026. Spotted a problem? Tell us.
- How to monitor & optimize Google Gemini agents with Grafana CloudGoogle · Google Cloud Tech on YouTube · Sep 3, 2026
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
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- HeuristicBeyond manual testing for AI agentsUse observability tools for full visibility into production AI agents. · 5 min
- ToolGoogle Cloud CLI Remote MCP Server for AI AssistantsEnables AI assistants to manage Google Cloud infrastructure through conversational commands. · 15 min
- Code snippetInstrumenting AI agent code with Sigil SDKAdd lightweight wrappers to agent code using the Grafana Sigil SDK for observability. · 10 min
- ChecklistKey AI agent skill patterns for modular developmentSeven patterns for building effective, modular AI coding agents using skills. · 10 min
- PromptClean and analyze STATA files for new insightsInstruct an AI to clean and prepare STATA files for new analysis, recovering corrupted data. · 10 min
Questions people ask
- Which AI tools does this work with?
- Any current model. It was seen with Gemini in the sources.
- Where did this come from?
- Grafana Labs (Google Cloud Tech on YouTube). Subvolts collected, normalized and credited it; the link above opens the original.

