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Case Study: WeLab Bank cut daily alerts over 95% with Dynatrace AI-driven observability

WeLab Bank Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
WeLab Bank
Industry
Financial Services
Challenge
Alert noise and slow root-cause analysis
Headline result
WeLab Bank used Dynatrace's AI-driven observability to reduce daily alerts from over 100 to fewer than 5 and cut root-cause identification from hours to minutes.

Key results

95%+
Reduction in unnecessary alerts
100→<5
Daily alerts
From over 100 to fewer than 5
Hours→minutes
Root-cause identification time

The challenge

WeLab Bank, a digital-only bank, needed to reduce alert noise and speed up incident diagnosis as part of its digital-first strategy. Its teams were handling over a hundred daily alerts, many of them false alarms that required SRE intervention.

The solution

WeLab Bank selected Dynatrace for its AI-driven observability platform, using its AI engine, automation, and answer-driven insights for early detection of potential system issues without false alarms.

Dynatrace's AI engine provides us with insights for early detection of potential system issues without false alarms, reducing the time required to identify root causes from hours to minutes.

CM
Chung Wing Mok
CTO, WeLab Bank

The results, in context

WeLab Bank reduced unnecessary alerts by over 95%, bringing daily alerts down from more than 100 to fewer than 5, and cut the time required to identify root causes from hours to minutes. The change reduced the volume of alerts requiring SRE intervention.

Products used

Dynatrace Dynatrace platform