Grafana Labs, the open observability cloud,announced the public preview of Grafana Assistant, an AI-powered observability tool that allows users to interact with logs, metrics, and traces using natural language. Now available to all Grafana Cloud users, Grafana Assistant helps accelerate root cause analysis, automate query creation, and make monitoring workflows more accessible to developers, SREs, and IT teams at every skill level.

As AI transforms how teams build and operate software, observability tools must evolve to match the speed, scale, and complexity of modern systems. This is backed by the 2025 Observability Survey from Grafana Labs, which found that complexity and signal-to-noise ratio are the two biggest challenges with observability.

Grafana Assistant was purpose-built to meet this demand. It bridges the gap between traditional observability tools and the new demands of today by making observability data more accessible, actionable, and conversational.

“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, Grafana Labs CTO. “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.”

Grafana Assistant introduces a context-aware AI agent directly into the Grafana UI, enabling real-time collaboration, investigation, and dashboard creation – all through natural language. Instead of writing complex queries or jumping between tools, users can simply ask questions to:

• Understand their observability data and environment with in-context guidance and best practices drawn from Grafana’s extensive documentation, blog content, and community knowledge.
• Follow logical paths of inquiry during incidents, supported by AI trained on real-world SRE workflows. Users can even run multiple multi-step investigations in parallel.
• Create and modify dashboards and panels using natural language, speeding up common tasks and reducing friction.
• Navigate across Grafana apps and views effortlessly, with the Assistant understanding Grafana URLs and workflows, from querying metrics, logs, traces, and profiles to declaring incidents, creating SLOs, or setting up alerts.

This means users don’t need to be observability experts to troubleshoot faster, collaborate more effectively, and stay in control of even the most dynamic, AI-driven systems. It’s already making an impact with early adopters:

"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."

Grafana Assistant is available now in public preview in Grafana Cloud.