The operations team at a global retail organization noticed a business-critical transaction gradually slowing down — with no outages, server failures, or database crashes to explain it. Using Applicare, they traced the slowdown from the Enterprise Dashboard down to the exact SQL statement responsible, in a single investigation workflow.
Applicare transformed what used to be a lengthy manual investigation into a focused, data-driven workflow. Instead of searching through multiple dashboards, our team quickly identified the SQL transaction responsible for the slowdown and resolved the issue with confidence.
— Operations Team, Global Retail Organization
This global retail organization runs a multi-tier enterprise application backed by a SQL database, supporting daily business operations at scale. Maintaining fast, consistent customer response times — while minimizing downtime and manual troubleshooting — is central to how the operations team is measured.
There were no infrastructure outages, server failures, or database crashes — yet end-user response times were increasing on a business-critical transaction. Diagnosing this kind of problem traditionally meant reviewing multiple monitoring tools, comparing application logs, and manually correlating database metrics against application events, a process that could take hours. The team needed a faster way to determine which transaction was affected, which SQL query was causing the slowdown, how much business impact it created, and where remediation should begin.