Core Banking

Answer-first: Double-entry bookkeeping in core banking guarantees that every transaction records equal Debit and Credit entries across sub-ledgers. Enforcing $\sum \text{Debits} = \sum \text{Credits}$ at the database schema level via atomic PostgreSQL transactions and Go ledger validation engines prevents financial imbalance, race conditions, and audit compliance failures. Implementing this architecture enforces sub-50ms P99 latency guarantees, strict component isolation, and automated observability. Prerequisite: Read the Executive Summary for the high-level roadmap of core banking evolution. ...

Answer-first: Core banking domain architecture revolves around three sub-systems: Customer Information File (CIF) for identity and KYC, Current & Savings Accounts (CASA) for real-time deposit ledgers, and Lending for loan amortization. Isolating these bounded contexts in Go microservices prevents cascading database lock contention during End-of-Day interest calculation batch jobs. Architecting this pipeline enforces sub-50ms P99 latency guarantees, OpenTelemetry GenAI semantic conventions,. Prerequisite: Part 1: Double-Entry Ledger Schema Design on standard accounting invariants. ...