"DB360 is differentiated because it connects the dots across your stack. It models databases as first-class entities linked to the services and infrastructure that depend on them, then brings the most important diagnostic signals-like query details, explain plans, waits, and locks-into one workflow. In practice, that means you can quickly answer: what changed, what's impacted, and what to fix next-without switching tools."
"Database performance issues rarely live in one domain. A slow transaction can be caused by a query regression, blocking locks, resource saturation, or a change upstream in the application. DB360 brings the core signals together so teams can move faster from detection to root cause."
"You now have an intuitive UI to view all your slow queries, the ability to drill down into the details, see historical stats, see which applications fired the query, see if the query was waiting for resources/locks to be released, visualize execution plans and plan drifts and see infra metrics all in one place - helping you quickly isolate the cause of the problem without switching tools and views."
Database 360 addresses the challenge of diagnosing production latency by consolidating database performance data with full-stack context into a single unified experience. The platform models databases as first-class entities linked to dependent services and infrastructure, integrating critical diagnostic signals including query details, explain plans, waits, and locks. Teams can quickly determine what changed, what's impacted, and what requires fixing without tool switching. The solution enables root cause analysis by connecting slow transactions to potential causes such as query regressions, blocking locks, resource saturation, or upstream application changes. Users gain access to slow query visualization, historical statistics, application source identification, resource wait detection, execution plan analysis, and infrastructure metrics in one interface.
#database-performance-monitoring #full-stack-observability #root-cause-analysis #query-diagnostics #infrastructure-monitoring
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