Projects using PHP in Paris
Projects using PHP in Paris
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1
Tanvir
Grillen Burgerbar - Restaurant og Take Away - Burgere
1
1
Message
0
Emilien Potin
CTO - LicenceOne
0
23
Message
1
David M.
pro
Performance Optimization and Resource Benchmarking [The Problem] Standard data processing practices often load entire datasets into memory, leading to severe server overhead, unpredictable crashes, and inflated cloud infrastructure costs when handling large enterprise files. [The Solution] By implementing memory-safe streaming pipelines, resource consumption is reduced to a constant, minimal baseline. This drastically lowers hosting bills and allows the system to process infinite data volumes without requiring hardware upgrades. Cost reduction | Infrastructure stability | Unrestricted scalability
1
33
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0
Eugene L
University of Greenwich - Design Graduate Show
0
46
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0
Anthony Cadet
Software developer
0
1
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0
Tanvir
Amatoshi
0
3
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0
Emilien Potin
Fullstack engineer - Sellsy
0
27
Message
1
David M.
pro
Custom Internal Tools and Operational Dashboards [The Problem] Non-technical operations teams often lack visibility into complex backend processes and data pipelines. Without a clean user interface, managing workflows or handling edge cases requires direct developer intervention, creating severe business bottlenecks. [The Solution] Built on a high-performance Backend-for-Frontend (BFF) architecture, this minimalist dashboard provides a secure and intuitive control panel. It empowers non-technical teams to monitor pipelines and trigger operational tasks independently without introducing frontend framework bloat. Team autonomy | Operational visibility | Zero-bloat efficiency
1
40
Message
1
David M.
pro
Low-Level Stream Pipeline Architecture [The Problem] Legacy backend workflows frequently couple data ingestion, transformation, and storage into single, brittle processes. This lack of isolation makes tracking data mutations difficult, introduces technical debt, and increases the risk of database corruption. [The Solution] This blueprint decouples the data lifecycle by cleanly separating data states from processing operations. Using native engine filters ensures data is sanitized, masked, and validated chunk-by-chunk at the lowest level before hitting persistent storage. Risk mitigation | Predictable maintenance | Architectural security
1
42
Message
1
David M.
pro
Low-Overhead CLI Automation and Background Workers [The Problem] Long-running automation tasks and background scripts often run as unmonitored black boxes on remote servers. Lacking precise logging, real-time resource benchmarking, and granular step reporting makes identifying performance bottlenecks or production errors highly inefficient. [The Solution] This custom command-line interface utility provides highly structured, real-time logging and performance benchmarking for background processes. It exposes exact metrics directly within the console, ensuring predictable execution and rapid troubleshooting in production environments. Production reliability | Instant debugging | Automated monitoring
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49
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![Cover image for Low-Level Stream Pipeline Architecture
[The Problem]](https://media.contra.com/image/upload/q_auto,w_800/zxgeijnwxd3jlkznm49x.avif)
