Grafana Labs unveils full-stack and database observability upgrades with Artificial Intelligence features

At ObservabilityCON 2025, Grafana Labs introduced a knowledge graph powered approach to full-stack workflows, query-level database visibility with Artificial Intelligence optimization, and enterprise tooling for OpenTelemetry. Service-centric views and new root cause tooling aim to cut diagnosis times and reduce complexity.

Grafana Labs announced a slate of observability upgrades at ObservabilityCON 2025 designed to simplify operations and speed incident resolution across distributed systems. The company framed the releases against growing complexity, citing its 2025 Observability Survey in which 39 percent of respondents identified complexity as the top obstacle. The updates arrive alongside the introduction of Artificial Intelligence driven Grafana Assistant and Assistant Investigations and the completion of the Adaptive Telemetry suite, with a focus on unifying signals, accelerating root cause analysis, and making enterprise-scale adoption more accessible.

At the core of the full-stack push is the Grafana Cloud Knowledge Graph, formerly Asserts, which connects metrics, logs, traces, and profiles into a single system map. Embedded in out-of-the-box experiences such as Application Observability and Kubernetes Monitoring, it powers an Entity Catalog for automated service discovery, curated dashboards, and health insights without deep PromQL expertise. A new Root Cause Analysis Workbench consolidates anomalies, dependencies, and timelines in one view and integrates with Grafana Assistant to compress multi-step war rooms into faster diagnoses. Teams can also bring their own context with a Bring Your Own Knowledge capability that layers existing dashboards, alerts, and labels into the knowledge graph.

Grafana Cloud’s new Database Observability targets the frequent source of performance issues with query-level visibility and Artificial Intelligence powered optimization. Capabilities include tracking every query with execution time, wait events, and errors; correlating database activity with application and infrastructure signals; drilling into execution plans, schemas, and indexes; and surfacing ready-to-run optimization guidance. A customer from Pismo highlighted the product’s use of Artificial Intelligence to synthesize complex data into intuitive dashboards and insights that speed investigations and reduce reliance on database administrators. Public Preview is planned in the coming weeks, with a waitlist available.

Grafana Cloud Service Center has also been updated to provide a service-first view of system health. Users can define service indicators that automatically roll labeled resources into a single landing page, review performance summaries over a chosen timeframe, and jump directly into pre-filtered product areas for faster troubleshooting. Built-in operational reviews help teams analyze trends, measure SLOs, and drive continuous reliability improvements by unifying dashboards and alerts under a service-centric workflow.

To help organizations scale open standards, Grafana Labs added native OpenTelemetry and Prometheus support with enterprise readiness. The lineup includes Grafana Beyla for eBPF-based auto-instrumentation, Grafana Alloy as an optimized distribution of the OpenTelemetry Collector with Prometheus pipelines, and Fleet Management with an Instrumentation Hub for rollout, remote pipeline control, and cost governance. With 71 percent of surveyed organizations using both OpenTelemetry and Prometheus, Grafana Labs positions these tools to reduce under-instrumentation and pipeline sprawl while maintaining flexibility and control.

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