Enterprise Architecture - Hexavera Workforce Management | Enterprise Architecture - Hexavera Workforce Management

Enterprise-Grade Workforce Management Architecture

Microservices-based platform architecture designed for scalability, security, and real-time workforce intelligence across global operations.

Hexavera enterprise data architecture showing microservices and AI/ML processing pipeline

Advanced Workforce Management Data Flow

Comprehensive data integration and AI processing pipeline for real-time workforce intelligence

Access Control

Card Readers
Biometric Devices
Door Sensors
...

Time Clocks

Punch Data
Scheduling
Break Tracking
...

Mobile Apps

Employee Check-ins
Manager Approvals
Self Service
...

Systems

ERP
HRMS
Payroll
...

SCADA/MES

Production Data
Equipment Status
Manufacturing
...

SCADA/MES

Production Data
Equipment Status
Manufacturing
...

Data Collection & Ingestion Hub

Real-time Processing
Multi-source Integration
Enterprise Scalability
<100ms latency • 10K/sec

Data Validation

Schema Validation
Quality Checks
Duplicate Detection
Integrity Verification

Data Enrichment

Master Data Lookup
Contextual Information
Historical Correlation
Geo-location Mapping

Data Transformation

ETL Processing
Aggregation Rules
Time Zone Conversion
Data Modeling

AI/ML Processing Engine

Neural Networks • Random Forest • Deep Learning
92% Overall Accuracy

89% Accuracy
Attrition Prediction

Neural Networks

91% Accuracy
Skills Gap Analysis

Random Forest

86% Accuracy
Demand Forecasting

Deep Learning

Compliance Engine

Labor Laws
Company Policies
Industry Regulations

Business Rules

Workflow Automation
Approval Chains
Escalation Policies

Security Rules

Access Control
Data Privacy
Audit Trails

Executive Dashboards

KPIs
Strategic Metrics
Real-time Monitoring

Analytics & Reports

Trend Analysis
Predictive Insights
Custom Reports

API Gateway

REST APIs
GraphQL
Webhooks
Third-party Integration

Mobile Interface

Employee Portal
Manager Tools
Notifications

External Systems

SAP Integration
Oracle Connectors
Workday Sync

<100ms

Processing Speed

92%

ML Accuracy

99.99%

Uptime

10K/sec

Throughput

System Components

Data Sources

  • • Access control systems and biometrics
  • • Enterprise systems (SAP, MS Dynamics)
  • • Time and attendance devices
  • • Mobile applications
  • • Production systems (SCADA/MES)

AI/ML Capabilities

  • • Attrition prediction (89% accuracy)
  • • Skills gap analysis (91% accuracy)
  • • Demand forecasting (86% accuracy)
  • • Neural networks and deep learning
  • • Real-time pattern recognition

Processing Pipeline

  • • Real-time data validation
  • • Contextual data enrichment
  • • ETL and transformation
  • • Quality assurance
  • • Format standardization

Output Destinations

  • • Executive dashboards and KPIs
  • • Advanced analytics and reports
  • • API gateway for integrations
  • • Mobile interfaces
  • • External system connectors

Architecture Highlights

Built for enterprise scale with security and performance at the core

Enterprise Security

SOC 2 Type II compliant with end-to-end encryption, role-based access control, and comprehensive audit logging.

  • AES-256 encryption at rest
  • TLS 1.3 for data in transit
  • Multi-factor authentication
  • Immutable audit trails

Real-Time Processing

Sub-second response times with event-driven architecture and intelligent caching strategies.

  • <100ms ML prediction latency
  • <2s report generation
  • WebSocket real-time updates
  • Distributed Redis caching

Microservices Architecture

Modular, independently scalable services with fault isolation and automatic failover capabilities.

  • Kubernetes orchestration
  • Service mesh integration
  • Auto-scaling policies
  • Circuit breaker patterns

AI/ML Pipeline

Continuous model training and deployment with automated retraining on new workforce data.

  • 89% prediction accuracy
  • Random Forest + XGBoost
  • Automated feature engineering
  • A/B testing framework

Auto-Scaling Infrastructure

Dynamic resource allocation based on workload with Kubernetes orchestration and auto-healing.

  • Horizontal pod autoscaling
  • Load-based provisioning
  • 99.99% uptime SLA
  • Multi-region failover

API-First Design

RESTful and GraphQL APIs with comprehensive documentation, SDKs, and webhook integrations.

  • OpenAPI 3.0 specification
  • Rate limiting & throttling
  • Versioned API endpoints
  • 100+ certified connectors

Technology Stack

Modern, proven technologies powering enterprise workforce management at scale

Backend Infrastructure

Built on .NET 9 microservices architecture with PostgreSQL for transactional data and Redis for caching. Event-driven communication via RabbitMQ ensures decoupled, resilient services.

  • .NET 9 - High-performance microservices runtime
  • PostgreSQL 17 - ACID-compliant relational database with JSON support
  • Redis - Distributed caching and session management
  • RabbitMQ - Message broker for async communication
  • Kubernetes - Container orchestration and auto-scaling
  • Docker - Containerized deployment pipeline

Frontend & Integration

Modern web applications built with Blazor Server and progressive web app capabilities. RESTful and GraphQL APIs enable seamless integration with existing enterprise systems.

  • Blazor Server/WASM - Real-time web UI with SignalR
  • REST & GraphQL - Flexible API integration options
  • WebSockets - Real-time bidirectional communication
  • OAuth 2.0 / OIDC - Enterprise authentication standards
  • SAML 2.0 - Single sign-on integration

AI/ML Infrastructure

Python-based ML pipeline with automated model training, versioning, and deployment. Continuous learning from workforce data to improve prediction accuracy.

  • Python 3.11 - ML model development and training
  • scikit-learn & XGBoost - Ensemble learning algorithms
  • TensorFlow - Deep learning for pattern recognition
  • MLflow - Model tracking and versioning
  • Apache Spark - Large-scale data processing
  • Jupyter - Interactive model development

Security & Operations

Enterprise-grade security with multiple compliance certifications. Comprehensive monitoring, logging, and alerting across all infrastructure layers.

  • Azure Key Vault - Secrets and certificate management
  • Prometheus & Grafana - Metrics and visualization
  • ELK Stack - Centralized logging and analysis
  • Sentry - Error tracking and performance monitoring
  • HashiCorp Vault - Dynamic secrets management
  • OWASP Standards - Security best practices

Performance Metrics

Proven scalability and reliability across enterprise deployments

99.99%

Platform Uptime

<100ms

API Response Time

10M+

Daily Transactions

50+

Countries Supported

Scalability Highlights

  • Horizontal auto-scaling from 10 to 10,000+ concurrent users
  • Multi-region deployment with automatic failover
  • 99.99% SLA with 24/7 monitoring and support
  • Sub-second ML predictions even under peak load
∞

Infinite Scale

Want to Learn More About Our Architecture?

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