Grafana Labs, the company behind the open observability cloud, announced the public preview of Grafana Assistant, an AI-powered tool designed to make observability data more accessible and actionable. Available to all Grafana Cloud users, Grafana Assistant enables teams to interact with logs, metrics, and traces through natural language-accelerating root cause analysis, automating query creation, and streamlining monitoring workflows for developers, SREs, and IT teams at every skill level.
As artificial intelligence reshapes how software is built and operated, observability tools must evolve to meet the scale and complexity of modern systems. Insights from the 2025 Grafana Labs Observability Survey highlight this shift, identifying complexity and signal-to-noise ratio as the top challenges facing organizations today. Grafana Assistant was developed to directly address these issues, bridging the gap between traditional observability approaches and the demands of AI-driven operations.
“There’s no doubt that AI is accelerating the pace of innovation. As more organizations adopt a software-driven mindset, they’re using AI to rewire how they operate, from revenue and operations to reliability and customer experience,” said Tom Wilkie, CTO at Grafana Labs. “That’s why we built Grafana Assistant: a context-aware AI agent that helps teams move from signal to action faster, right inside the tools they already use. Tools like this – along with other AI-powered capabilities in our open observability cloud, like Asserts knowledge graph and Adaptive Telemetry – are helping companies navigate growing digital complexity and act with greater clarity and speed.”
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Key Features of Grafana Assistant
The new AI agent is built directly into the Grafana UI, providing a conversational interface for real-time investigation, collaboration, and dashboard creation. With natural language prompts, users can:
- Interpret observability data with context-driven guidance, best practices, and insights from Grafana’s documentation and community knowledge base.
- Streamline incident response by following AI-supported investigation paths modeled after real-world SRE workflows, even running multiple inquiries simultaneously.
- Build and customize dashboards quickly by describing requirements in natural language, eliminating the need for complex queries.
- Navigate seamlessly across Grafana apps and workflows, from querying metrics and traces to creating incidents, setting SLOs, or configuring alerts.
By lowering the technical barrier, Grafana Assistant empowers both technical and non-technical users to collaborate more effectively, troubleshoot faster, and stay in control of rapidly changing environments.
“Grafana Assistant has transformed how we tackle observability data, acting like a seasoned expert woven into the interface,” said Mikhail Volkov, Founder and CEO of Volkov Labs. “It empowers non-technical users, who might find Grafana’s technical complexities daunting, to swiftly investigate incidents, craft intuitive dashboards, and explore Grafana Cloud with remarkable ease and confidence.”