Technical Solution: Intelligent Enterprise Data Platform (IEDP)

1. Executive Summary

This proposal outlines a cloud-native, microservices-based data platform designed to unify disparate data sources, enable real-time analytics, and support AI/ML-driven decision making across enterprise operations. The solution leverages containerization, event-driven architecture, and modern data mesh principles to deliver a scalable, secure, and cost-effective system.

2. Problem Statement

Current state analysis reveals three critical challenges:

- Data Silos: 17+ disconnected systems (CRM, ERP, IoT, legacy mainframes) with no unified access layer

- Latency: Batch ETL processes causing 12-24 hour data freshness delays

- Scalability: On-premises infrastructure limits processing capacity to 10 TB/day, insufficient for projected 5x growth

3. Architecture Overview

3.1 High-Level Design

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┌─────────────────────────────────────────────────────────────┐

│                     API Gateway (Kong)                       │

│  ┌──────────┐  ┌──────────┐  ┌──────────┐  ┌──────────┐  │

│  │ REST     │  │ gRPC     │  │ GraphQL  │  │ WebSocket│  │

│  └────┬─────┘  └────┬─────┘  └────┬─────┘  └────┬─────┘  │

└───────┼─────────────┼─────────────┼─────────────┼────────┘

        │             │             │             │

┌───────▼─────────────▼─────────────▼─────────────▼────────┐

│            Service Mesh (Istio) - Orchestration          │

└───────┬──────────────────────────────────────────────────┘

        │

┌───────▼──────────────────────────────────────────────────┐

│  Core Services Layer (Kubernetes)                         │

│  ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐        │

│  │Ingestion│ │Processing│ │Storage  │ │Analytics│        │

│  │Service  │ │Service   │ │Service  │ │Service   │        │

│  └────┬────┘ └────┬─────┘ └────┬────┘ └────┬────┘        │

└───────┼───────────┼────────────┼───────────┼────────────┘

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