Cloud-Agnostic Microservices Architecture for Personal Banking
- Anand Nerurkar
- Apr 21
- 2 min read
Updated: Apr 30
pls architect and design same use case with hyperscaler so that it can be deployed to any cloud like aws,aure or gcp
š Cloud-Agnostic Microservices Architecture for Personal Banking
š§± Core Design Principles
Use containers (Docker) and orchestration via Kubernetes (EKS, AKS, GKE).
Service Mesh (Istio) for traffic management, observability, and policy enforcement.
Abstracted cloud services via interfaces or platform services (e.g., Kafka instead of native queues).
Infrastructure as Code using Terraform or Pulumi.
CI/CD via Jenkins/GitHub Actions/Azure DevOps pipelines.
Secret management via Vault or SOPS.
Observability using Prometheus + Grafana, ELK Stack.
šļø High-Level Architecture Components
š Security
Identity Provider: Keycloak / Auth0 (can integrate with Azure AD, AWS Cognito, or GCP IAM)
JWT-based authentication
SSO & Role-Based Access Control (RBAC)
SSL termination at Ingress gateway
š¦ Microservices (Spring Boot based, packaged as Docker containers)
Customer Service
Account Service
Transaction Service
UPI Payment Service
Loan Processing Service
Fraud Detection Service
Notification Service
Audit & Compliance Service
API Gateway (Kong / Apigee / Istio Ingress)
šØ Event-Driven Architecture
Message Broker: Apache Kafka (can be self-hosted or use Confluent Cloud)
Async flows: Loan processing, fraud analysis, notification, audit logging
š¾ Persistence Layer
PostgreSQL / MySQL (cloud-neutral RDBMS options)
MongoDB (for document-based use cases)
Redis (caching layer)
š Observability
Logs: Fluentd + Elasticsearch
Metrics: Prometheus + Grafana
Tracing: Jaeger
āļø Multi-Cloud Deployment Strategy
Layer | Services/Tools | Purpose |
Compute | Kubernetes (EKS/AKS/GKE/on-prem) | Container orchestration |
Networking | Istio + Ingress + DNS + Load Balancer | Traffic routing, mTLS, resilience |
Storage | Cloud-native persistent volumes (PVCs) | Data persistence |
Messaging | Kafka | Asynchronous communication |
API Management | Kong / Apigee / Tyk | Central API gateway |
Secrets Management | HashiCorp Vault | Secure config and secrets |
Monitoring | Prometheus + Grafana + ELK Stack | Observability |
CI/CD | Jenkins / GitHub Actions / Azure DevOps | Continuous delivery & infrastructure |
š Integration Strategy
Use OpenAPI/Swagger for service contracts
gRPC for internal service communication (optional)
REST APIs for external consumers
Kafka Topics for decoupled services
Config server (Spring Cloud Config / HashiCorp Consul)
š”ļø Enterprise Risk Categories & Mitigation (Examples)
Category | Risk | Mitigation |
Technology | Vendor lock-in | Use open-source, cloud-neutral components |
Security | Cross-region access breach | Use service mesh with mTLS, centralized auth |
Compliance | Multi-cloud data residency | Encrypt data, geo-based storage compliance |
Operations | Complex multi-cloud deployments | Use GitOps, IaC, managed Kubernetes clusters |
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