● Covered by 1 source · 1 reportMedium impact1 neutral
Grafana Assistant Now Supports Over 30 Data Sources for AI-Powered Observability
Key points
- Grafana Assistant now queries over 30 data sources.
- Uses natural language for incident investigation and troubleshooting.
- Supports enterprise sources like Snowflake, Oracle, Elasticsearch, and Jira.
- Aims to unify observability by correlating data across disparate systems.
Expanded Data Source Support
Grafana Labs has updated Grafana Assistant, its AI-powered observability tool, to integrate with over 30 different data sources. This expansion allows the assistant to query and correlate data across a wider range of platforms using natural language commands.
The newly supported sources include enterprise systems such as Snowflake, Oracle, Elasticsearch, Dynatrace, Honeycomb, MongoDB, Zabbix, and Jira. This enables investigations to incorporate operational, infrastructure, and business context from various tools.
Addressing Fragmented Observability
The update aims to tackle the challenge of fragmented operational data, where modern production environments often use multiple monitoring tools. Engineers traditionally navigate between these tools, manually correlating information to understand incidents.
Grafana Assistant seeks to simplify this process by allowing users to ask natural language questions that span multiple systems simultaneously. This eliminates the need for manual query construction in languages like PromQL, LogQL, SQL, or TraceQL.
AI as an Operational Partner
This enhancement aligns with Grafana Labs' broader AI strategy, which positions AI as an operational partner rather than just a chatbot. The company unveiled this strategy at GrafanaCON 2026.
Beyond answering questions, Grafana Assistant can generate dashboards, construct complex monitoring queries, explain unfamiliar metrics, navigate Grafana resources, and launch investigations using telemetry from across an organization's infrastructure.
Impact on Operations Teams
The expanded data source support is intended to help operators, developers, and site reliability engineers (SREs) investigate incidents and troubleshoot complex distributed systems more efficiently. By unifying data access, the tool aims to reduce the time and effort spent switching between different monitoring tools.
This development is a step towards what Grafana Labs calls "unified observability," providing a more cohesive view of operational data for incident response and system management.
✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →
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Reporting from
Grafana Labs expanded Grafana Assistant to query and correlate data from more than 30 sources using natural language, including Snowflake, Oracle, and Jira. This update allows engineers to investigate incidents and troubleshoot distributed systems without switching between multiple monitoring tools, aiming to address fragmented operational data.