Grafana Labs, the leader in open observability solutions, has rolled out the public preview of Grafana Assistant, an AI-powered tool that transforms how users interact with logs, metrics, and traces. Now open to all Grafana Cloud users, this innovative assistant accelerates root cause analysis, automates query creation, and makes monitoring workflows more accessible for developers, site reliability engineers (SREs), and IT teams of every experience level.
As AI continues to reshape how teams build and operate software, observability tools must keep pace with the speed, scale, and complexity of modern systems. The 2025 Observability Survey from Grafana Labs reinforces this urgency, revealing that complexity and signal-to-noise ratio remain the biggest hurdles in observability.
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Grafana Labs designed Grafana Assistant specifically to bridge the gap between traditional monitoring solutions and today’s evolving demands. The tool makes observability data not only more accessible and actionable but also 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, CTO of 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.”
With a context-aware AI agent integrated directly into the Grafana UI, Grafana Assistant enables real-time collaboration, streamlined investigations, and effortless dashboard creation all through natural language. Instead of crafting complex queries or switching between multiple tools, users can simply:
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- Understand observability data with in-context guidance and best practices sourced from Grafana’s documentation, blogs, and community insights.
- Follow logical, AI-driven investigation paths during incidents, supporting parallel multi-step investigations.
- Create or modify dashboards and panels using plain language to speed up repetitive tasks.
- Navigate seamlessly across Grafana apps and workflows, from querying metrics and logs to setting up alerts or declaring incidents.
Early adopters are already seeing significant benefits. “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.”
By removing technical barriers and enabling natural language interaction, Grafana Assistant positions teams to troubleshoot faster, collaborate more effectively, and maintain control over even the most complex AI-driven systems.
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