Grafana Labs extends observability reach deeper into AI.
Article excerpt
Grafana Labs extends observability reach deeper into AI. Grafana Labs today at its GrafanaCON 2026 conference revealed it has extended its artificial intelligence (AI) agent to its cloud-based observability platform while at the same time previewing a platform for observing AI applications and an open source framework for evaluating AI agents. At the same time, the company announced it has developed an instance of the OpenTelemetry tools for collecting telemetry data that in addition to improving support for Kubernetes clusters, can be installed with a single command in Linux environments. Additionally, the company also unfurled Grafana 13, an update to the company's core visualization software that adds pre-built and suggested dashboards that dynamically adapt to different use cases, layout templates, guided onboarding to reduce setup time, improved programmability through redesigned dashboard schema, an updated application programming interface (API) for managing dashboards at scale, and support for Git-based workflows, team folders, improved secrets management, and dashboard restore tools Finally, Grafana Labs also announced that its Loki log aggregation platform has been shifted to a backend based on Kafka messaging software to improve scalability. There is also now a redesigned Loki query engine and scheduler that provides access to a query planner that distributes...
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Jen Villa, a senior product director for Grafana Labs, said that in addition to providing an AI agent, dubbed Grafana Assistant, the company has added a Model Context Protocol (MCP) server to provide access to external data sources.
