Conf42 Incident Management 2025 - Online

- premiere 5PM GMT

Blockchain-Cloud Integration: Revolutionizing Incident Response in Payment Networks

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Abstract

Discover how blockchain transforms incident management in payment systems. Learn proven strategies that reduced our MTTR by 80% and automated response workflows. Real-world insights from processing millions of daily transactions at enterprise scale.

Summary

Transcript

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Hello? I'm sorry, Krishna from Visa. Thank you everyone for joining my session. In this session, I'm going to explore how integrating blockchain with cloud native infrastructure and AI reshapes, incident detection, triage, and recovery in high volume payment networks. I'll begin with why this is urgent. Then outline the architecture and automation patterns, quantify the impact and close with a phase rollout plan and key takeaways you can apply immediately. Let's get started. The urgent payment networks are the circulator system of the global economy. When a major institution suffer disruption, losses cascade. Today's pain points are threefold. Firstly, the crippling blind spots, manual ticketing and spreadsheets based tracking leave gaps where emerging failures hide. So teams often discover problems late. Second extended outages, reactive incident response, minutes to downtime every handoff, P, delay and misted alerts, customer impact, and also loss. The third one, compliance catastrophes when reporting is manual and fragmented. Audits take longer evidence, quality, suffer and regulatory exposure growth. The takeaway is very clear. We need a different operating model. Mastering unprecedented resilience set of payment scale requires comprehensive approach. First, the high volume processing. We must seamlessly handle billions of transactions across the platforms like Visa and which six latency, and also high availability goals. Secondly. Continuous the 24 crossover monitoring of health, performance and security events across services, regions and providers. Observability must weak signals not only alarms that already cross the thresholds. Third, mitigate catastrophic downtime costs. Outages can cause millions per hour through loss, interchange, chargebacks and reputational damage. Preventing incidents and accelerating recovery are business imperatives, but not engineering goals. Blockchain cloud. Transforming incident response. In this slide I'm going to explain our thesis is to fuse blockchain's integrity with the elasticity of cloud native infrastructure. This yields trustworthy records, automated workflows, and scale during crisis immune immutable audit trails. Every incident, event detection, escalation mitigation, and recovery is captured with cryptographic verification to provide a tamper proof history for postmortems and regulators. Elastic scalable response. Cloud resources expand and contract to match incident severity, ensuring stable performance under heavy load while controlling cost. And automated smart contracts, predefined rule actions like paging, flag flips, traffic shifting or rollback, reducing human error, and shrinking. Time to restore. Moving on to next slide, revolutionizing visibility. Blockchain powered incident monitoring. So as a step one, the intelligent anomaly detection. High sensors and AI models continuously learn normal behavior across traffic latency, error rates, dependency and security events to surface deviations. Very early. Step two, immutable event registration. Each notable signal is timestamped and recorded to the ledger, producing an unalterable ordered chain of evidence that survives tool changes or the human edits. The third one, predictive incident prevention with a complete and trustworthy dataset. Forecasting models identify leading indicators such as saturation patterns or the reverse so we can intervene before the customer feels the pain. Moving on. Automated incident response. Zero touch. Operational resilience with smart contracts. Autonomous alert escalation. Severity aware rules, route alerts to right on call person. The leadership are also added, and the partner teams are also added instantly with deduplication and suppression to avoid noise floods, dynamic resource optimization when signals indicate load or degradation. Automation skills, replica warm caches, most workload to healthier zones, or expand network capacity without waiting for the manual action. The near instant system restoration. When a rollback or failover criteria is met, contract trigger safe restoration to the last good known state, including configure version, traffic shifting and dependency gating transforming resilience into profit. Quantify the operational edge. Our autonomous incident response solutions don't just promise resilience. They deliver measurable, tangible business value. We empower you to clearly demonstrate how zero touch operations translate directly into the significant ROI. Reduce costs, enhance deficiency, and a powerful competitive advantage. Witness the compelling data that pro our impact on your bottom line. Transforming operations driving measurable impact the precision in alerts. Fewer positive alert means Internet's focus on real threats, improving signal to noise, and also reducing alert fatigue. The rapid incident resolution. Automated run books usually shorten detection, triage, and mitigation. Compressing mean compressing the meantime to acknowledgement and recovery. Stability analytics, maintenance before end result is customer satisfaction. Fewer and go. Moving on to next slide. Anticipate failures. We analyze historical transaction flows and performance trends to forecast where the risk is a rising, for example, a service reaching saturation during weekend peaks or a dependency with increasing tail latency. We red the subtle anomalies during the drift in the percentile, 50 latency that proceeds to the personnel 99 spikes and correlate them with deploy feature flags and infra. We optimize capacity using productive models, and we schedule automated preventive maintenance such as node replacement or canary restarts before minor issue escalates into an incident. We usually do all these. Moving on to next one. Dynamic scaling cloud native agility for uninterrupted operations. The baseline stability. This runs with right size, capacity, and budgets during normal periods while preserving headroom for the sudden spike the proactive demand sensing, detect early signs of surge marketing campaigns, holiday traffic partner cutovers, and we scale preemptively. Rapid capacity expansions, elasticity at compute storage, network throughput, or regional endpoints to absorb peak loads without throttling the efficiency optimization. As demand subsides automatically scale back down resources and keeping unit economic safety. Accelerating operational excellence basically by applying this operational model in high volume environments, yields concrete outcomes. Substantial reduction in manual intervention through codified runbooks as policy, as code significantly accelerated incident resolution time due to automated detection, routing, and the rollback higher compliance reporting accuracy, because every step is recorded in immutably and is easy to reconstruct during audits, streamline post incident analysis, precise timelines, correlated evidence, and objective and objective metrics. Implementation. So assess current infrastructure map services, identify integration points. Firstly, the initial pilot deployment. Choose a non-critical but representative service. Start by recording detection and response events to ledger, validate latency and storage overheads. Develop smart contracts, encode common playbooks like degraded latency, rollback, circuit on dependency, saturation, and surgical scaling policies with clear guardrails and approvals. Rollout to the production, expand coverage to mission critical services and cross team visibility dashboards, and tune policy based on live results under perspectives, fortify compliance and enhanced security with blockchain. The immutable audit trails topographic proves makes evident tamper evident. Helping regulators and Foreign Six trust the timeline of the actions taken. Automated compliance reporting generate accurate, consistent reports straight from the ledger and telemetry, reducing manual compilation and the human error. The realtime transfer provide stakeholders with control, immediate visible teams into incident status actions in flight and recovery progress. Future proofing defense, staying ahead of threats. The quantum resistant en encryption prepared for advances in compute by adopting algorithms designed to withstand new classes of attack. The decentralized threat validation use distributed conscious to corroborate emerging indicators of compromise and reduce single point by US automated. Propagate valid threat intelligence across teams and regions instantly. So defense aligned quickly. The AI power detection continuously retrain model on fresh, trustworthy data to improve precision and recall as all the landscape evolves. The key takeaway. Anticipate sophisticated threats and them earlier with adaptive controls and verbal evidence. The UN reality, decentralized plus AI assisted operational availability and recovery time. S value creation resilience, reduces the risk, protects revenue, and improve ROI through lower downtime and greater operational efficiency. The proactive threat neutralization move from firefighting to foresight with predictive analytics and policy driven automation. Rapid and automated response use smart contracts like rules to trigger the right actions at the right time with minimum human latency. Enhance stress and transparency, immutable logs and clear operational visibility. Build conference with partners and regulators. Optimize operational efficiency, fewer manual touch points, standardized workflows, and better cost control across the incident lifecycle. Thank you for watching. I'm Krishna.
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Sai Krishna Gurram

Site Reliability Engineer Sr. Consultant Level @ Visa

Sai Krishna Gurram's LinkedIn account



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