Scalable ERP architecture for multi-tenant operations.
A coherent enterprise-platform design combining real-time multi-tenant synchronization, distributed inventory ledgers, automated tax-compliance loops, and a Kafka-backed accounting event stream.
One ERP system, one consistent proof story.
Problem class
Operational state spread across tenants, inventory, accounting, and tax workflows that needed to stay coordinated.
Architecture pattern
Relational state plus fast working data and an event backbone for accounting-related changes.
Disclosed stack
Go, PostgreSQL, Redis, and Apache Kafka.
Operational software has to preserve meaning across connected domains.
An ERP is not a collection of independent forms. Inventory changes affect accounting; tenant boundaries affect every read and write; and tax-compliance workflows depend on consistent operational data. The system described here was organized around those relationships rather than presenting unrelated dashboards as a platform.
Multi-tenant state
Keep tenant-specific operational data coordinated without losing the boundaries that separate each operating context.
Inventory consistency
Represent inventory as a ledger of meaningful changes instead of relying only on an opaque current-value field.
Accounting and tax flows
Move accounting-relevant events through a durable backbone and connect them to automated tax-compliance loops.
A disclosed stack with clear component responsibilities.
The public system description names the connected domains and assigns clear responsibilities to the disclosed technology stack.
Go service layer
Go supports the application and integration logic around tenant-aware operations, inventory changes, accounting events, and tax workflows.
PostgreSQL system of record
PostgreSQL provides the disclosed relational data layer for structured ERP state and connected operational records.
Redis working state
Redis supports fast-changing or frequently accessed state within the named platform stack.
Kafka accounting backbone
Apache Kafka carries the disclosed accounting event flow so connected processes can react to meaningful changes without collapsing every responsibility into one synchronous request.
Domain-linked workflows
The evidence stays focused on one ERP system: multi-tenant synchronization, distributed inventory ledgers, accounting, and tax-compliance loops are treated as connected parts of the same platform.
What can be evaluated publicly.
System context
A coherent ERP domain spanning multi-tenant operations, inventory, accounting, and tax workflows.
Architecture evidence
Relational state, fast working data, and an event backbone are connected to explicit platform responsibilities.
Stack evidence
Go, PostgreSQL, Redis, and Apache Kafka define the publicly described implementation surface.
Experience reasoning across a connected enterprise domain.
This case supports team experience with multi-tenant application architecture, relational operational data, event-driven accounting flows, distributed inventory concepts, and ERP-specific workflow design.
