operational data
3 stories filed under operational data on Beyond Market Intelligence. The newest of them: “CedarDB unifies operational and analytical data as AI agents demand more”, “From Ops Data to Action: How AI Makes Production Systems Understandable”, and “How AI Helps Instacart Engineers Resolve Incidents Faster in Slack”. Traditional databases force you to choose: optimize for operational speed or analytical depth. Production systems have long been black boxes, spitting out data without context. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every operational data story on Beyond Market Intelligence, newest first.
CedarDB unifies operational and analytical data as AI agents demand more
Traditional databases force you to choose: optimize for operational speed or analytical depth. CedarDB refuses that trade-off. Its engine was built from the ground up to handle both, a design choice that looks prescient as AI agents demand real-time access to live data alongside complex queries. This isn't an incremental upgrade, it's a different foundation. For a glimpse at how agents are already reshaping workflows, see our piece on Floqer's approach to prospect research.
From Ops Data to Action: How AI Makes Production Systems Understandable
Production systems have long been black boxes, spitting out data without context. This panel, featuring Michael Hausenblas, Sujana Sooreddy, Noam Levi, and Renato Losio, shows how AI changes that, turning operational data into actionable insights for incident response. It's a practical look at making systems more understandable through automation and new architectural practices. For a deeper dive into AI transforming workflows, see our related article on AI-powered spreadsheets.
How AI Helps Instacart Engineers Resolve Incidents Faster in Slack
When a production incident lands in Slack, every minute of investigation matters. Instacart's Blueberry, an AI-powered assistant, steps in to help on-call engineers act faster. It pulls together AI agents, operational data, and past incident knowledge to suggest grounded root cause hypotheses directly in the conversation. Parallel subagents and MCP integrations do the heavy lifting, but engineers stay in control. That's a practical approach to reducing toil.