Diagnose and resolve database performance issues faster with Bits Chat

Datadog’s Database Monitoring capabilities extend Bits Chat with AI-assisted database diagnostics that correlate workload metrics, query samples, execution plans, logs, distributed traces, and application context to identify root causes and recommend remediation steps in plain language. The feature is intended to help DBAs, platform teams, and developers reduce investigation time and escalations by linking findings to relevant database instances, services, queries, and live validation graphs. Examples include tracing a deployment-related latency increase to an unindexed query whose execution plan changed from an index scan to a costly sequential scan, detecting connection pool exhaustion through combined connection-state and application-behavior analysis, and diagnosing replication lag by locating transactions or services blocking write-ahead log replay on replicas. Bits Chat can also incorporate follow-up questions and added context, allowing users to refine investigations and verify that fixes restore expected performance.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.