Enterprise Banking Platform on Azure Cloud

Enterprise Banking Platform on Azure Cloud

Slide 1: Title Slide

Title: Enterprise Banking Architecture: Spring Boot Microservices on AzureSubtitle: Customer Onboarding, Loan, UPI, Credit Card, and Fraud Detection FlowsPresented by: [Your Name], CTO Candidate

Slide 2: Vision & Strategy

• Goal: Deliver scalable, secure, and resilient banking capabilities

• Pillars:

  • Modular Microservices Architecture

  • Azure Native Cloud Foundation

  • Event-Driven and API-First Design

  • Customer-Centric & Risk-Aware

Slide 3: Core Use Case Flows

1. Customer Onboarding

2. Loan Application Processing

3. UPI Payments & Transfers

4. Credit Card Transaction Authorization

5. Fraud Detection Engine

Slide 4: Technology Stack Overview

• Microservices: Spring Boot, Docker

• Orchestration: AKS (Kubernetes), Istio

• CI/CD: Azure DevOps

• Data: Azure SQL, Cosmos DB, Blob

• Events: Kafka (Event Hub/HDInsight)

• Security: Azure AD B2C, Key Vault, SSL, mTLS

• Monitoring: Azure Monitor, Log Analytics

Slide 5: High-Level Architecture

• Client Layer: Mobile/Web ➝ API Management ➝ Azure AD B2C

• Service Layer: Spring Boot Microservices in AKS

• Integration: Kafka, Cosmos DB, Blob Storage

• Observability: Azure Monitor, App Insights

• Security: Istio, NSG, Key Vault, VNet, Subnet, SSL

Slide 6: Microservice Domain Boundaries

• Customer Context: Profile, KYC, Risk Profile

• Loan Context: Application, Eligibility, Credit Bureau

• Payment Context: UPI Gateway, Account, Notification

• Card Context: Validation, Authorization, Merchant

• Fraud Context: Detection, Rules, Alerts

Slide 7: Flow: Customer Onboarding

1. User Registration (OTP + SSO)

2. Upload Docs to Blob

3. KYC Verification ➝ Kafka

4. Risk Profiling ➝ DB

5. Account Creation ➝ SQL

Slide 8: Flow: Loan Application

1. Submit Details ➝ API Gateway

2. Eligibility + Credit Bureau ➝ Kafka

3. Document Verification ➝ Blob

4. Final Approval ➝ Loan Service ➝ SQL

Slide 9: Flow: UPI Payment Processing

1. UPI Request ➝ API ➝ Kafka

2. Validate User + Balance

3. Notify Fraud Engine

4. Update Ledger ➝ SQL

5. Send Confirmation

Slide 10: Flow: Credit Card Transaction

1. Swipe ➝ API ➝ Auth Service

2. Validate Limits ➝ SQL

3. Fraud Check ➝ Kafka ➝ Fraud Service

4. Approve/Deny ➝ Log ➝ Notify

Slide 11: Fraud Detection Engine

• Real-Time Rules from Cosmos DB

• Kafka Event Stream Consumption

• ML/AI Signals for High-Risk Events

• Alerts to App & Monitoring

Slide 12: Security & Governance

• Azure AD B2C + Role-Based Access

• Istio + mTLS for east-west traffic

• NSG, Firewall, VNet Peering

• Secrets in Azure Key Vault

• Audit Logs + Azure Policy

Slide 13: Enterprise Risk Categorization

• Business: Low onboarding adoption ➝ Mitigation: UX, incentives

• Operations: UPI downtime ➝ Mitigation: Multi-AZ + Retry logic

• Technology: Container vulnerabilities ➝ Mitigation: Image scanning (ACR)

• Security: Unauthorized access ➝ Mitigation: MFA, mTLS

• Compliance: KYC bypass ➝ Mitigation: Auditable pipeline

Slide 14: Capability-to-Service Mapping

Capability	Microservices
Onboard Customer	Profile, KYC, Risk, Notification
Apply for Loan	Loan App, Eligibility, Docs, Risk
Make Payment	UPI Gateway, Txn Logger, Account
Detect Fraud	Fraud Engine, Rule Evaluator
Auth Card	Card Validator, Auth Service

Slide 15: Final Thoughts & Roadmap

• Future-proof with Domain-Driven Design (DDD)

• GenAI/ML enhancements in Fraud, Credit Scoring

• Scalable via Azure Native Mesh + Event Bus

• Goal: Unified, secure, intelligent banking platform