Overview#
Ekonio.cloud is my self-hosted infrastructure environment used to deploy and operate internal engineering tools, most notably Parts-DB, a custom component management and procurement system.
The project represents full ownership of the software lifecycle:
- Architecture design
- Backend development
- Data modeling
- Deployment
- Server configuration
- Ongoing maintenance
It serves as a production-grade environment for structured data workflows, automation scripts, and system experiments.
Technical Highlights#
- VPS provisioning and Linux server configuration
- Docker-based service deployment
- Symfony backend architecture (Parts-DB core)
- Entity-based data modeling (Component, Supplier, PriceDetail, OrderDetail)
- CSV import pipelines for structured bulk ingestion
- Price tier tracking and historical cost analysis
- Automated scraping integration for supplier comparison
- Secure remote access and environment isolation
This environment supports real-world operational tooling rather than demonstration code.
Key Lessons#
- Owning infrastructure changes how you design software
- Data modeling matters more than UI complexity
- Automation becomes powerful when paired with structured storage
- Procurement intelligence requires normalization and historical tracking
- Self-hosting forces explicit thinking about reliability, security, and maintainability
The project reinforced a systems-level mindset: Build tools that reduce decision friction through structure.
Technologies#
- Linux (VPS environment)
- Docker
- Symfony (PHP backend framework)
- MySQL and relational data modeling
- Python (automation and scraping)
- CSV processing pipelines
- REST-style internal endpoints
Flowchart
flowchart TD
A[Supplier sources] --> B[Automated data collection]
B --> C[CSV import and scraping pipelines]
C --> D[Normalization and deduplication]
D --> E[Relational data storage]
E --> F[Price and inventory analysis]
F --> G[Decision support output]
Details
Ekonio.cloud hosts a custom-built engineering ecosystem centered around Parts-DB, a structured component and procurement management platform.
The system models:
- Components
- Suppliers
- Orders
- Price tiers
- Historical cost changes
Rather than relying on spreadsheets or fragmented notes, the platform provides normalized storage and traceable relationships across purchasing workflows.
CSV ingestion pipelines allow bulk updates, while scraping utilities assist in price comparison and anomaly detection.
Running this system on a self-managed VPS ensures:
- Full deployment control
- Infrastructure-level debugging capability
- Secure environment configuration
- Scalable extension for future tools
The project demonstrates practical backend engineering, infrastructure management, and applied data modeling in a real operational context.
Gallery
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