A multinational bank was facing frequent downtime in its online banking system due to undetected slow queries and database spikes. Customers often reported transaction delays, amaging trust. By implementing the observability platform, the bank gained real-time monitoring of SQL and NoSQL databases. Automated alerts identified performance bottlenecks, while root cause analysis pinpointed heavy queries.

A national-level bank managing over 1TB of transactional data daily faced increasing customer complaints about slow mobile banking and delayed fund transfers. The IT team struggled to identify root causes quickly, leading to downtime, customer frustration, and risk of regulatory non-compliance.

The bank deployed the observability AI Agent to gain end-to-end visibility of all transaction-activities. Real-time monitoring flagged risky queries, automated root cause analysis pinpointed performance bottlenecks, and audit trails supported compliance reporting. The system also compressed historical transaction data, optimizing storage.

• Achieved 99.9% uptime, significantly reducing customer complaints.
• Incident resolution time dropped from 2 hours to 15 minutes.
• Compliance reporting became 80% faster, with zero audit penalties.
• Improved customer satisfaction scores by 30%, reinforcing trust in digital banking services.