Cybersecurity

and Compliance

Barclays Bank Payment Gateway Failure (Jan 2025)

 

What happened:

Barclays experienced a three-day outage in its payment gateway system, right during the UK’s self-assessment tax deadline. The failure stemmed from undetected performance degradation in backend services.

 

Impact:

  • Over 50% of transactions failed, causing widespread public outrage.

  • Barclays paid $6.6 million in compensation for customer distress.

  • SLA breaches triggered contractual penalties and regulatory scrutiny.

 

How AI-Powered SLA Monitoring Could Help:

  • Proactive alerting would have identified transaction failures before they spiked.

  • Custom SLO tracking could have flagged critical business transactions at risk.

  • Predictive analytics would have enabled preemptive scaling or rerouting to avoid downtime.

Slack’s Global Outage (Jan 2021)

 

What happened:

Slack, the widely used corporate communication platform, suffered a global outage that lasted nearly five hours. The root cause was a server scaling issue that degraded performance silently before triggering a full-blown outage.

 

Impact:

  • Millions of users were unable to communicate during critical business hours.

  • SLA violations went unnoticed until users began reporting issues.

  • Slack faced reputational damage and potential financial penalties due to service disruption.

 

How AI-Powered SLA Monitoring Could Help:

  • Real-time risk scoring would have flagged the scaling bottleneck early.

  • Predictive alerts could have warned ops teams few hours before the crash.

  • Automated compliance tracking would have ensured visibility into SLA thresholds being breached silently.

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Predict customer satisfaction or frustration in real-time by correlating performance patterns with actual user behavior.

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Stay aligned with business reality through monitoring that adapts to your unique traffic and seasonal patterns.

Focus on what matters with ROI-driven alerts that prioritize business impact over technical noise.

User Journey Intelligence

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Real world examples where Beemon could make a difference: 

Through customer-centric intelligence, product and engineering teams gain the power to:

AI-Powered Customer Experience Optimization

Monitoring that thinks like your customers, not your servers. Our industry-first platform combines graph neural networks with continuous learning to automatically discover user behavior patterns and predict customer satisfaction before technical issues become business problems.

 

Our platform automatically learns how your users behave and directly correlates system performance with customer satisfaction and revenue impact—giving you the first monitoring system that truly understands your customers. The platform automatically correlates system performance with real user behavior patterns, learning which technical issues drive customer satisfaction and revenue—so you can focus engineering efforts where they matter most.

 

Through continuous behavioral learning, you finally see your system through your customers' eyes and make technical decisions based on actual business impact. Seasonal adaptation and behavioral pattern recognition ensure your monitoring priorities evolve with your business, giving you customer-centric intelligence that adapts to your unique patterns and rhythms.

 

Stop treating all performance issues equally and start prioritizing based on real customer and revenue impact. Transform your technical monitoring from server-centric alerts into customer-driven business intelligence that guides every engineering decision.