Grafana Labs, the company behind the open observability cloud, today announced a set of new AI-focused capabilities at GrafanaCON 2026: AI Observability in Grafana Cloud; a significant expansion of Gr...
Autore: Business Wire
AI Observability in Grafana Cloud, expanded Grafana Assistant, and a new agent-aware CLI aim to make AI systems more observable, controllable, and actually useful in production
BARCELONA, Spain: Grafana Labs, the company behind the open observability cloud, today announced a set of new AI-focused capabilities at GrafanaCON 2026: AI Observability in Grafana Cloud; a significant expansion of Grafana Assistant into more environments, as well as new agentic capabilities; the Grafana Cloud CLI (GCX), a new agentic interface for automated and agent-driven workflows; and o11y-bench, a new open source benchmark for evaluating AI agents running observability workflows.
AI is transitioning from experimentation to production, while observability, control, and operational trust are still catching up. Grafana Labs’ 2026 Observability Survey found near-universal interest in AI’s value, alongside real caution about autonomy: 15% of respondents expressed skepticism about AI taking autonomous actions without stronger safeguards. Now, observing LLMs and the systems they touch is becoming table stakes for teams that intend to run them safely and reliably at scale.
“AI systems are starting to look a lot like distributed systems did a decade ago: powerful, but difficult to reason about and even harder to operate,” said Jen Villa, Senior Director of Product, Grafana Labs. “We’re not approaching this as a separate category. The goal is to bring the same level of visibility and control to AI that teams already expect from the rest of their stack.”
Introducing AI Observability in Grafana Cloud: Monitor and Evaluate AI Systems in Real Time
Launching in Public Preview, AI Observability in Grafana Cloud is a complete solution designed to help teams monitor and evaluate LLM-powered applications and agents in real time.
As AI becomes embedded in customer-facing experiences, failures often don’t look like classic telemetry: unexpected outputs, inconsistent behavior, and silent degradation that erodes trust before traditional dashboards light up.
AI Observability in Grafana Cloud is built to close these visibility gaps by helping teams:
Teams can get started with AI Observability in Grafana Cloud today to understand what their AI is doing, how well it’s doing it, and where issues are emerging.
Grafana Assistant: Broader Reach, Deeper Workflow Support
Grafana Labs also announced a significant expansion of Grafana Assistant, its AI-powered agent for observability and operational workflows that helps monitor, troubleshoot, and manage systems through natural language conversations.
Assistant is no longer limited to Grafana Cloud; it is extending to additional environments and surfaces, including on-premises deployments of Grafana Enterprise, so teams with stricter data and control requirements can use the same AI-assisted workflows. Grafana open source users will also be able to use Grafana Assistant by connecting their accounts to a Grafana Cloud instance.
Additional new capabilities coming to Grafana Assistant include:
The focus is shortening the distance from question to grounded investigation, especially when minutes matter. It is not just a generic chat interface.
To get started with Grafana Assistant, Grafana Enterprise and Grafana OSS users can create a Grafana Cloud account (including the actually useful free forever plan) and connect it to their Grafana installation via a one-click setup.
Grafana Cloud CLI (GCX): Observability Where Agents Already Work
Grafana Labs also introduced the Grafana Cloud CLI (GCX), a new interface designed for a shift already underway in how software is built and operated: engineers are increasingly working through AI-assisted development environments like Cursor, Claude Code, and GitHub Copilot, where the agent becomes the primary interface.
GCX is designed to bring Grafana Cloud into that workflow, so teams can:
The intent is fewer handoffs between code, alerts, and dashboards, so investigation and remediation can stay closer to where changes ship. Download GCX and get started today.
o11y-bench: An Open Benchmark for Observability Agents
Grafana Labs also announced it is open sourcing o11y-bench, a benchmark for evaluating AI agents on observability workflows.
Built on Harbor and designed to run against a real Grafana stack, o11y-bench is intended to help teams measure how agents perform on the kinds of tasks that matter in practice: querying metrics, logs, and traces; investigating incidents; and making targeted dashboard changes.
In modern observability environments, where teams operate across open tools and multiple telemetry types, evaluating AI agents requires more than reviewing outputs. o11y-bench is designed to reflect that reality by measuring what agents actually do in the system, not just what they say.
Learn more at https://o11ybench.ai/
Building the Foundation for AI in Production
Together, these moves reflect a pattern: AI in production adds complexity that traditional tooling only partly covers. To coordinate work across AI observability, assistant experiences, and agent-driven workflows, Grafana Labs is forming a dedicated AI organization unifying these efforts under one team.
Mat Ryer has been appointed Senior Director of AI and will lead this work across the company.
“AI breaks in ways traditional observability wasn’t designed for,” said Mat Ryer, Senior Director of AI at Grafana Labs. “Latency and errors still matter, but they’re not enough. You also need visibility into correctness, consistency, and shifting agentic behaviours over time. AI is quickly becoming a key part of the way teams investigate and operate systems. We want to make all of that observable in a way that’s practical, reliable, and fits into how engineers already work today.”
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About Grafana Labs
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,400+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.
Fonte: Business Wire