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Grafana's expansion of its AI-powered assistant to over 30 data sources represents a significant shift toward unified observability, aiming to reduce the fragmentation inherent in modern distributed systems. By enabling natural language queries across disparate platforms like databases and cloud telemetry, this update allows engineers to correlate incidents without manually switching between tools or writing complex query languages. This development underscores an industry trend where AI is being integrated directly into operational workflows rather than serving as a peripheral chatbot feature.
Grafana Assistant Expands to More Than 30 Data Sources
Grafana Labs has expanded the capabilities of Grafana Assistant, enabling its AI-powered observability assistant to query and correlate data across more than 30 different data sources through natural language. By Craig Risi
Grafana Labs has expanded the capabilities of Grafana Assistant, enabling its AI-powered observability assistant to query and correlate data across more than 30 different data sources through natural language. The company claims that this update is a step toward "unified observability", allowing operators, developers, and site reliability engineers (SREs) to investigate incidents, generate queries, and troubleshoot complex…
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