Grafana Labs, the company behind the open agentic observability cloud, today announced a Knowledge Graph in every Grafana Cloud stack, alongside new Digital Experience Monitoring capabilities and updates to Grafana Cloud Incident Response Management (IRM), at ObservabilityCON 2026. Together, the releases connect infrastructure and application dependencies with user experience and incident response, giving people and agents shared context to investigate problems and take action.

As agentic systems become more architecturally complex and teams use agents to investigate and respond to problems, those agents need context that connects technical symptoms to business impact. Most teams have telemetry from databases all the way to the user’s browser, but lack the runtime context that connects a failing database to the service, the team, and the customer it affects. In the 2026 State of Observability Report, also released this week by Grafana Labs and ETR, a Futurum company, the most common maturity stage among the 300 IT and engineering leaders surveyed (30%) is being able to explain unexpected system behavior but not detect and prevent issues before users are affected. To close that gap, Grafana Cloud continues to expand full-stack observability so people and agents can connect those signals to the product customers are using. Because it is built on open standards, it also works with the agents teams already use, not only Grafana’s own.

“Most teams do not have a monitoring problem. They have a technology debt problem: telemetry from every layer and no way to connect it to the customer it affects,” said Richard Lam, Director of Product, Grafana Labs. “Putting a Knowledge Graph in every Grafana Cloud stack, and extending it from the infrastructure all the way to the user, makes unified observability foundational instead of something every team has to assemble on its own, for people and for the agents working beside them.”

One connected view of everything you run

A full-stack view is only useful if its layers connect. A knowledge graph links infrastructure, applications, and user-facing signals into a shared model, helping people and agents trace symptoms across dependencies to investigate their cause.

Grafana Cloud Knowledge Graph is the runtime context layer for Grafana Cloud, where teams curate what their agents know about their environment. It builds that context from telemetry derived across Grafana’s observability solutions, connecting agents, applications, and databases to cloud services and Kubernetes clusters, and reaches all the way to your users through frontend and synthetic monitoring. Teams add what only they know with custom entities, so people and agents work from the same context, built on open standards. With that context, they can work through complex problems with less guesswork and fewer dead ends. New Knowledge Graph capabilities include:

  • Custom entities (GA): Group what Grafana Cloud discovers into the things your business runs on, such as a product, using entities and relationships defined from telemetry. Knowledge Graph mode in Grafana Assistant helps inspect existing connections and write the rules.

  • Service catalog with ownership (private preview): Brings service ownership, on-call schedules, and runbooks from Grafana Cloud Service Center onto the graph, so following a dependency also shows who can act on it.

  • Runtime context for agents (GA): Knowledge Graph is available as runtime context for Grafana Assistant and any agent connected through gcx. A new Cypher query capability lets agents retrieve relationships flexibly, so each starts from what you have already built instead of rebuilding context from raw telemetry.

“The future of operations won’t be defined by who collects the most telemetry, but by who can provide the most accurate context. Telemetry tells us what’s happening. Context tells us why it matters,” said Neil Wilson, Senior Director of Software Engineering, LexisNexis Risk Solutions. “We’ve found that the hardest part of an investigation is rarely a lack of data. The challenge is connecting service ownership, dependencies, operational knowledge, and customer impact across a complex ecosystem. Entity Graph relationships help make those connections visible, giving engineers and AI systems the context they need to move from data, to understanding, to action.”

See where users struggle, not just when systems fail

Observability that stops short at the server misses where customers actually experience your product. Now, Grafana Cloud Digital Experience Monitoring extends full-stack observability to the browser and mobile devices, connecting proactive testing, which simulates what you expect, with real user signals, all on the same telemetry as the rest of the stack. Today, Grafana Labs is introducing new use cases, user journeys, data types, and views to further close the gap between system health and user experience:

  • Session Replay (public preview): Watch a video-player-like recording of what your users actually did in your application. Correlate when something breaks to the underlying telemetry so that you know exactly what happened.

  • Mobile Observability (private preview): Extends Frontend Observability to your iOS, Android, React Native, and Flutter apps using upstream native OpenTelemetry SDKs. See what mobile users experience, and connect it to the same telemetry as the rest of your stack, without a separate tool.

  • Critical User Journeys (private preview): Define which journeys matter most, so every team works from the same definition of “critical” instead of improvising its own. Explore a journey end to end and go from a drop in conversion rate to the root cause in a single view.

One shared picture for every responder, human or agent

Full-stack visibility matters most when something breaks, and incident response is where the layers have to work together. But AI has made incident response more crowded, not simpler. As teams bring agents into incident response, coordinating investigations becomes another challenge. Engineers, their coding agents, and Grafana Assistant can all investigate the same incident at once, creating a risk of duplicated work without a shared record of what has already been checked. Updates to Grafana Cloud IRM give people and agents shared context and a coordinated workspace for incident response.

  • Grafana Workflows (public preview): Event-driven automation that connects actions across Grafana Cloud and your other tools, with Grafana Assistant available for steps that need analysis or writing. Prebuilt blueprints cover major incident kickoff, on-call handoff reports, and weekly service health summaries.

  • Operational Context with Knowledge Graph (private preview): Captures what past responses tried, found, and ruled out, so the next investigation starts with that experience and agents can test past hypotheses against current evidence.

  • Response Console (private preview): A single interface where people and agents collaborate on incidents. Responders can work with Claude, Codex, and Assistant Investigations in one place, all drawing on the same Knowledge Graph context, so no one repeats work or loses track of what has already been checked.

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About Grafana Labs

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, 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.

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