PakLog is a modern Warehouse Management System (WMS) and Warehouse Execution System (WES) built with microservices architecture, Domain-Driven Design (DDD), and event-driven patterns. This documentation provides comprehensive technical details about the system architecture, implementation, and operations.
graph TB
subgraph "Documentation Categories"
ARCH[Architecture<br/>Diagrams]
SEQ[Sequence<br/>Diagrams]
DOMAIN[Domain<br/>Models]
STATE[State<br/>Machines]
DEPLOY[Deployment &<br/>Infrastructure]
DATA[Data Flow &<br/>Integration]
API[API<br/>Documentation]
end
ARCH --> C4[C4 Model]
SEQ --> FLOWS[Business Flows]
DOMAIN --> DDD[DDD Models]
STATE --> FSM[State Transitions]
DEPLOY --> K8S[Kubernetes]
DATA --> ETL[ETL/Streaming]
API --> REST[REST APIs]
Purpose: System architecture using C4 model Contents:
- System Context (Level 1)
- Container Architecture (Level 2)
- Component Architecture (Level 3)
- Deployment Architecture
- Technology Stack Overview
Key Diagrams:
- C4 Context, Container, Component diagrams
- Deployment topology
- Service communication matrix
Purpose: Detailed business flow interactions Contents:
- Order Fulfillment Flow
- Wave Planning and Release
- Task Assignment Flow
- Pick Execution Flow
- Pack and Ship Flow
- Inventory Movement
- Error Handling & Compensation
Key Diagrams:
- End-to-end order processing
- Distributed saga patterns
- Real-time monitoring flows
Purpose: Domain-Driven Design models and relationships Contents:
- Bounded Contexts
- Aggregate Models
- Entity Relationships
- Value Objects
- Domain Events
Key Models:
- Wave Planning Domain
- Task Execution Domain
- Pick Execution Domain
- Location Master Domain
Purpose: Entity lifecycle and state transitions Contents:
- Wave Lifecycle
- Task States
- Pick Session States
- Order States
- Location States
- Inventory States
Key Patterns:
- State transition rules
- Event triggers
- Validation logic
Purpose: Infrastructure architecture and deployment patterns Contents:
- Kubernetes Architecture
- Network Architecture
- Database Infrastructure
- Message Queue Setup
- Monitoring Stack
- CI/CD Pipeline
- Disaster Recovery
- Security Architecture
Key Technologies:
- Kubernetes/Docker
- Kafka/Redis/MongoDB/PostgreSQL
- Prometheus/Grafana
- Service Mesh (Istio)
Purpose: Data processing and system integration patterns Contents:
- End-to-End Data Flow
- Event Flow Architecture
- Integration Patterns
- ETL/ELT Processes
- Real-time Analytics
- CQRS Implementation
- Event Sourcing
Key Patterns:
- Pub-Sub messaging
- Stream processing
- API Gateway patterns
- External system integration
Purpose: Complete REST API specifications with examples Contents:
- Authentication & Authorization
- Wave Planning APIs
- Task Execution APIs
- Pick Execution APIs
- Pack & Ship APIs
- Location Master APIs
- WebSocket APIs
- Error Handling
Key Features:
- OpenAPI 3.0 compatible
- Request/Response examples
- WebSocket real-time updates
- Rate limiting & pagination
C4Context
title PakLog WMS/WES System Context
Person(ops, "Operations", "Warehouse staff")
Person(admin, "Admin", "System admin")
System(paklog, "PakLog WMS/WES", "Warehouse Management")
System_Ext(erp, "ERP", "Enterprise system")
System_Ext(ecom, "E-Commerce", "Order source")
System_Ext(tms, "TMS", "Transportation")
Rel(ops, paklog, "Uses")
Rel(admin, paklog, "Manages")
Rel(ecom, paklog, "Orders")
Rel(paklog, erp, "Syncs")
Rel(paklog, tms, "Ships")
| Layer | Technology | Purpose |
|---|---|---|
| Language | Java 21 | Primary development language |
| Framework | Spring Boot 3.2 | Microservices framework |
| Messaging | Apache Kafka | Event streaming |
| Databases | MongoDB, PostgreSQL, Redis | Polyglot persistence |
| Container | Docker, Kubernetes | Container orchestration |
| Monitoring | Prometheus, Grafana | Observability |
| API Gateway | Spring Cloud Gateway | API routing |
| Service Mesh | Istio | Service communication |
- Wave Planning Service - Wave optimization and release
- Location Master Service - Location and slotting management
- Workload Planning Service - Resource and capacity planning
- Task Execution Service - Task orchestration and assignment
- Pick Execution Service - Pick session management
- Pack & Ship Service - Packing and shipping operations
- Physical Tracking Service - Inventory and license plate tracking
mindmap
root((Design Patterns))
Architecture
Microservices
Event-Driven
Hexagonal
CQRS
Domain
DDD
Aggregates
Value Objects
Domain Events
Integration
Saga Pattern
Event Sourcing
Pub-Sub
API Gateway
Resilience
Circuit Breaker
Retry Logic
Bulkhead
Timeout
- Java 21
- Maven 3.8+
- Docker & Docker Compose
- Kubernetes (for deployment)
- MongoDB, PostgreSQL, Redis
- Apache Kafka
# Clone repository
git clone https://github.com/paklog/paklog.git
# Start infrastructure
docker-compose up -d mongodb postgresql redis kafka
# Build services
mvn clean package
# Run a service
cd wave-planning-service
mvn spring-boot:run# Get access token
curl -X POST http://localhost:8080/oauth/token \
-d "grant_type=client_credentials" \
-d "client_id=test" \
-d "client_secret=secret"
# Create a wave
curl -X POST http://localhost:8080/v1/waves \
-H "Authorization: Bearer {token}" \
-H "Content-Type: application/json" \
-d '{"warehouseId": "WH001", "type": "STANDARD"}'| Metric | Value |
|---|---|
| Total Documentation Files | 8 |
| Total Diagrams | 50+ |
| Mermaid Diagrams | 45+ |
| API Endpoints Documented | 25+ |
| Lines of Documentation | 5,000+ |
Please refer to our contribution guidelines for:
- Code style standards
- Testing requirements
- Documentation updates
- Pull request process
Copyright © 2024 PakLog. All rights reserved.
- Documentation Issues: Create issue in repository
- Architecture Questions: architecture@paklog.com
- API Support: api@paklog.com
- Slack: #wms-wes-development
Last Updated: January 2024 Version: 1.0.0 Status: Production Ready