Cockroach Aegis: Redefining Database Observability and Operations with Agentic Intelligence

Cockroach Aegis is a preview feature within Cockroach Continuum that uses always-on intelligent agents to monitor CockroachDB clusters, learn normal workload behavior, detect operational anomalies, investigate likely root causes, and provide evidence-based remediation recommendations without making changes itself. Designed to help teams manage large deployments that may contain many isolated virtual clusters, it aims to reduce reliance on specialized DBA expertise by automatically conducting adaptive check-ins, tracking cluster history, and identifying issues such as stale statistics, unused or missing indexes, query contention, node restarts, and configuration drift. Aegis produces health reports and deduplicated recommendations with supporting metrics, documentation links, and often runnable SQL, while also supporting cluster-aware natural-language questions. Its hosted MCP server and CLI allow other tools and agents to access structured cluster context or delegate CockroachDB-specific tasks. The service is read-only, uses a dedicated auditable SQL identity with limited metadata access, excludes application table data and row values, isolates customer instances, and states that customer data is not used to train or fine-tune AI models.

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