All topics
Start here introductory
- Core banking platformsThe main commercial and cloud-native cores, how they are deployed, what they depend on, and how banks choose.3 min read
- DatabasesRelational engines for ledgers, clustering, caches, document and key-value stores, and what money needs from each.3 min read
- Mobile technologiesNative Android and iOS, Flutter and Kotlin Multiplatform, design systems, device binding and app security, SDKs and updates.3 min read
- Programming languagesJava, Go, Python, TypeScript, Kotlin, Swift, Dart and legacy COBOL: where each fits in banking, and why.3 min read
Next intermediate
- Messaging and streamingQueues versus logs, the main products, stream processing, and the patterns that keep money safe when messages repeat.3 min read
- Middleware and integrationESB versus API gateway versus service mesh, the main products, and translating between SOAP, REST, gRPC and ISO messages.4 min read
- Containers and orchestrationKubernetes, Helm, GitOps with Argo CD or Flux, Terraform, workflow engines, and what regulated workloads need on top.3 min read
- Cloud platformsAWS, Azure, Google Cloud and Oracle Cloud in Indian banking: regions in India, regulatory constraints and community cloud.3 min read
- Security technologiesFirewalls, WAFs, HSMs, secrets vaults, privileged access, SIEM and SOAR, cloud posture management and DLP, conceptually.3 min read
- ObservabilityMetrics, logs and traces; Prometheus, Grafana and OpenTelemetry; alerting, SLOs, on-call and incident review.3 min read
Deeper advanced
- Machine learning and AIFraud scoring, credit models, assistants and document AI; feature stores, serving, drift, explainability and RBI's emerging expectations.4 min read
- Payment-specific technologyISO 8583 and ISO 20022, SFMS and INFINET, UPI integration, HSMs and PINs, tokenisation, QR codes and card authentication.4 min read
How to read this section
Each topic starts with a landscape table of the main options and what they are good at, then explains how to choose, the trade-offs and the common pitfalls, and ends with questions for a design review. Product names appear as plain text for reference only; the site does not recommend vendors. Indian users of a product are named only where a public source confirms it.
How the topics fit together
Where each technology sits
Text description
Mobile apps call integration and messaging, which reach payment technology and machine learning services, which run on core platforms and databases. Containers and cloud host most layers. Security technologies, observability and programming languages apply across all of them.
- Channels: Mobile
- Integration: Integration, Messaging
- Specialised services: Payment technology, Machine learning
- Systems of record: Core platforms, Databases
- Platform: Containers, Cloud
- Mobile to Integration
- Mobile to Messaging
- Integration to Payment technology
- Messaging to Machine learning
- Payment technology to Core platforms
- Machine learning to Databases