Fintech workloads demand strict compliance, predictable latency, and real-time decisioning. The target architecture must support multi-region high availability, low-latency data paths, and automated controls for PCI DSS, SOC 2, and regional data regulations. The business outcome is higher approval rates, faster product launches, and lower unit costs per transaction.
Foundation: A Compliant Landing Zone
Identity and Access: SSO with least privilege, short-lived credentials, scoped secrets.
Network: Private service endpoints, service mesh, egress controls, and policy-based routing.
Data Controls: Tokenization, field-level encryption, key management with split responsibility.
Guardrails: Prevent drift with policy as code, enable standard build images, and audited pipelines.
Low-Latency, Event-Driven Core
Streaming Backbone: Kafka or cloud-native equivalents for authorizations, risk scores, and ledger events.
Data Lakehouse: Batch and streaming convergence to support analytics, dispute ops, and model feedback.
Model Serving: Canary releases for risk models, feature stores, and GPU-aware autoscaling for bursts.
Operate with SRE Discipline
SLOs and Error Budgets: Establish latency and success-rate SLOs per critical path, tied to release policy.
Telemetry: Unified metrics, traces, logs, and profiling; golden signals for risk and payments flows.
Resilience: Multi-AZ defaults, region failover playbooks, and quarterly chaos drills aligned to RTO/RPO.
Prove Value with FinOps
Showback: Unit economics per transaction family with anomaly detection on data and compute spend.
Automation: Instance rightsizing, storage lifecycle policies, and commitment planning baked into IaC.
Capacity Planning: Scenario modeling for peak events such as festive seasons and partner launches.
Security and Compliance Without Friction
Shift-Left: Pre-commit checks, image signing, dependency scanning, and SBOMs in the pipeline.
Run-Time Protections: Workload isolation, runtime policy enforcement, and adaptive threat detection.
Audit-Ready: Continuous evidence collection, mapped to PCI DSS and SOC 2 controls.
Success KPIs
Auth path P95 latency, approval-rate impact, time to environment, change failure rate, MTTR, unit cost per 1,000 transactions.
First 90 Days
Baseline landing zone and network.
Migrate a low-risk payments service path to the new pipeline.
Stand up unified observability.
Deliver a cost and reliability scorecard for executive visibility.
Fintech workloads demand strict compliance, predictable latency, and real-time decisioning. The target architecture must support multi-region high availability, low-latency data paths, and automated controls for PCI DSS, SOC 2, and regional data regulations. The business outcome is higher approval rates, faster product launches, and lower unit costs per transaction.
Foundation: A Compliant Landing Zone
Identity and Access: SSO with least privilege, short-lived credentials, scoped secrets.
Network: Private service endpoints, service mesh, egress controls, and policy-based routing.
Data Controls: Tokenization, field-level encryption, key management with split responsibility.
Guardrails: Prevent drift with policy as code, enable standard build images, and audited pipelines.
Low-Latency, Event-Driven Core
Streaming Backbone: Kafka or cloud-native equivalents for authorizations, risk scores, and ledger events.
Data Lakehouse: Batch and streaming convergence to support analytics, dispute ops, and model feedback.
Model Serving: Canary releases for risk models, feature stores, and GPU-aware autoscaling for bursts.
Operate with SRE Discipline
SLOs and Error Budgets: Establish latency and success-rate SLOs per critical path, tied to release policy.
Telemetry: Unified metrics, traces, logs, and profiling; golden signals for risk and payments flows.
Resilience: Multi-AZ defaults, region failover playbooks, and quarterly chaos drills aligned to RTO/RPO.
Prove Value with FinOps
Showback: Unit economics per transaction family with anomaly detection on data and compute spend.
Automation: Instance rightsizing, storage lifecycle policies, and commitment planning baked into IaC.
Capacity Planning: Scenario modeling for peak events such as festive seasons and partner launches.
Security and Compliance Without Friction
Shift-Left: Pre-commit checks, image signing, dependency scanning, and SBOMs in the pipeline.
Run-Time Protections: Workload isolation, runtime policy enforcement, and adaptive threat detection.
Audit-Ready: Continuous evidence collection, mapped to PCI DSS and SOC 2 controls.
Success KPIs
Auth path P95 latency, approval-rate impact, time to environment, change failure rate, MTTR, unit cost per 1,000 transactions.
First 90 Days
Baseline landing zone and network.
Migrate a low-risk payments service path to the new pipeline.
Stand up unified observability.
Deliver a cost and reliability scorecard for executive visibility.
Fintech workloads demand strict compliance, predictable latency, and real-time decisioning. The target architecture must support multi-region high availability, low-latency data paths, and automated controls for PCI DSS, SOC 2, and regional data regulations. The business outcome is higher approval rates, faster product launches, and lower unit costs per transaction.
Foundation: A Compliant Landing Zone
Identity and Access: SSO with least privilege, short-lived credentials, scoped secrets.
Network: Private service endpoints, service mesh, egress controls, and policy-based routing.
Data Controls: Tokenization, field-level encryption, key management with split responsibility.
Guardrails: Prevent drift with policy as code, enable standard build images, and audited pipelines.
Low-Latency, Event-Driven Core
Streaming Backbone: Kafka or cloud-native equivalents for authorizations, risk scores, and ledger events.
Data Lakehouse: Batch and streaming convergence to support analytics, dispute ops, and model feedback.
Model Serving: Canary releases for risk models, feature stores, and GPU-aware autoscaling for bursts.
Operate with SRE Discipline
SLOs and Error Budgets: Establish latency and success-rate SLOs per critical path, tied to release policy.
Telemetry: Unified metrics, traces, logs, and profiling; golden signals for risk and payments flows.
Resilience: Multi-AZ defaults, region failover playbooks, and quarterly chaos drills aligned to RTO/RPO.
Prove Value with FinOps
Showback: Unit economics per transaction family with anomaly detection on data and compute spend.
Automation: Instance rightsizing, storage lifecycle policies, and commitment planning baked into IaC.
Capacity Planning: Scenario modeling for peak events such as festive seasons and partner launches.
Security and Compliance Without Friction
Shift-Left: Pre-commit checks, image signing, dependency scanning, and SBOMs in the pipeline.
Run-Time Protections: Workload isolation, runtime policy enforcement, and adaptive threat detection.
Audit-Ready: Continuous evidence collection, mapped to PCI DSS and SOC 2 controls.
Success KPIs
Auth path P95 latency, approval-rate impact, time to environment, change failure rate, MTTR, unit cost per 1,000 transactions.
First 90 Days
Baseline landing zone and network.
Migrate a low-risk payments service path to the new pipeline.
Stand up unified observability.
Deliver a cost and reliability scorecard for executive visibility.
Fintech workloads demand strict compliance, predictable latency, and real-time decisioning. The target architecture must support multi-region high availability, low-latency data paths, and automated controls for PCI DSS, SOC 2, and regional data regulations. The business outcome is higher approval rates, faster product launches, and lower unit costs per transaction.
Foundation: A Compliant Landing Zone
Identity and Access: SSO with least privilege, short-lived credentials, scoped secrets.
Network: Private service endpoints, service mesh, egress controls, and policy-based routing.
Data Controls: Tokenization, field-level encryption, key management with split responsibility.
Guardrails: Prevent drift with policy as code, enable standard build images, and audited pipelines.
Low-Latency, Event-Driven Core
Streaming Backbone: Kafka or cloud-native equivalents for authorizations, risk scores, and ledger events.
Data Lakehouse: Batch and streaming convergence to support analytics, dispute ops, and model feedback.
Model Serving: Canary releases for risk models, feature stores, and GPU-aware autoscaling for bursts.
Operate with SRE Discipline
SLOs and Error Budgets: Establish latency and success-rate SLOs per critical path, tied to release policy.
Telemetry: Unified metrics, traces, logs, and profiling; golden signals for risk and payments flows.
Resilience: Multi-AZ defaults, region failover playbooks, and quarterly chaos drills aligned to RTO/RPO.
Prove Value with FinOps
Showback: Unit economics per transaction family with anomaly detection on data and compute spend.
Automation: Instance rightsizing, storage lifecycle policies, and commitment planning baked into IaC.
Capacity Planning: Scenario modeling for peak events such as festive seasons and partner launches.
Security and Compliance Without Friction
Shift-Left: Pre-commit checks, image signing, dependency scanning, and SBOMs in the pipeline.
Run-Time Protections: Workload isolation, runtime policy enforcement, and adaptive threat detection.
Audit-Ready: Continuous evidence collection, mapped to PCI DSS and SOC 2 controls.
Success KPIs
Auth path P95 latency, approval-rate impact, time to environment, change failure rate, MTTR, unit cost per 1,000 transactions.
First 90 Days
Baseline landing zone and network.
Migrate a low-risk payments service path to the new pipeline.
Stand up unified observability.
Deliver a cost and reliability scorecard for executive visibility.
“Provisioning went from weeks to hours and our approval rates improved with consistent latency under load. We finally see cost, risk, and performance on the same dashboard.”
VP Engineering, Global Payments Provider
Get in touch
Ready to ship with confidence?
Tell us your use case and we will propose a two sprint plan within five business days.
Get in touch
Ready to ship with confidence?
Tell us your use case and we will propose a two sprint plan within five business days.
Get in touch
Ready to ship with confidence?
Tell us your use case and we will propose a two sprint plan within five business days.
