Our field results:
Asobo StudioEuromasterKlafutiMichelinArturia
Asobo StudioEuromasterKlafutiMichelinArturia
No empty promises. 5 real projects with results: uptime, latency, performance, scalability.
Flight Simulator 2024 UI Performance Optimization
Push performance to the limit on a Web UI embedded in a C++ game engine, targeting 60fps despite extreme rendering constraints.
Context & Missions
Flight Simulator 2024 is an AAA game where every frame counts. The UI (menus, cockpits, HUD) must remain smooth even when the engine pushes the GPU to its limits. No compromise: if the UI lags, immersion is broken.
- Ensure 60fps on critical screens (menus, cockpits)
- Low-level profiling: CPU, GPU, memory, cache
- Optimize the Web UI framework (rendering, data binding)
- Contribute to fundamental JS framework improvements
Technical Interventions
Performance Diagnostic
- CPU/GPU/memory profiling with internal tools
- Rendering bottleneck identification
- Data binding and UI reactivity analysis
Targeted Optimizations
- Reduce costly reflows and repaints
- Optimize observers and data binding
- Reduce UI memory footprint
- Lazy loading and asset optimization
Tech Stack
Results
API Architecture & Azure Strategy Europe
Stabilize and optimize a critical European application portfolio serving 17 countries with over 2M requests/day, while adopting an Azure PaaS strategy.
Context & Missions
Euromaster operates a critical B2B e-commerce platform for 17 European countries, hosted on IBM Cloud VMs. The goal: reliability, performance and controlled costs, with a transition to Azure PaaS for managed services benefits.
- Modernize Web/API architecture and make it observable
- Lead the IBM Cloud VM → Azure PaaS transition
- Establish SRE standards, CI/CD and cross-team practices
- Define multi-level Web/API QA strategy and load testing
Technical Interventions
Architecture & Observability
- Modernized and observable Web/API architecture
- SRE standards and cross-team practices for multiple teams
- Monitoring, metrics and alerting
Azure Transition & QA
- IBM Cloud VM → Azure PaaS transition (5 apps, 3 env, 17 countries)
- Infrastructure as Code and standardized CI/CD
- Risk-driven, multi-level QA strategy
- Regression and load testing
Tech Stack
Results
Production-Grade SaaS & Long-Term Support
Build a production-ready B2B accounting SaaS from V1, then support growth over 2 years with a solid technical team.
Context & Missions
B2B SaaS startup developing an accounting process automation solution. Complete support: from production-grade V1 to team and feature scale-up.
- Lay technical foundations: architecture, CI/CD, reliability practices
- Build Cloud infrastructure (Azure, Terraform, GitLab CI)
- Create Angular Design System and product visual identity
- Develop core features (Java Spring Boot & Angular)
- Migrate to Clever Cloud for simplified operations
- Support scaling and product evolution over 2 years
Technical Interventions
Reliability from Day 1
- Scalable architecture adapted to opportunities
- CI/CD with Blue/Green deployments and Feature Flags
- Multi-level automated testing
- Observability and alerting from launch
Clever Cloud Migration
- Mapping and migration plan Azure → Clever Cloud
- CI/CD adaptation for PaaS deployment
- Controlled switchover with zero downtime
- Simplified operations and controlled costs
Tech Stack
Results
Real-time IoT Platform for Truck Fleets
Collect, process and analyze in real-time data from thousands of IoT sensors embedded on trucks across Europe.
Context & Missions
Michelin equips professional fleets with sensors that continuously measure tire pressure and wear. This data must be collected, processed and delivered to fleet managers in real-time to optimize maintenance and safety.
- Design event-driven microservices architecture
- Integrate IoT sensors with real-time data collection
- Build data pipeline (Azure Event Hub, Service Bus)
- Deploy on Kubernetes with automatic scaling
- Industrialize the solution for European fleets
Technical Interventions
Real-time Architecture
- Java 11/17 microservices with reactive Vert.x
- Event-driven architecture for high availability
- Azure Event Hub for massive ingestion
- Load spike management (thousands of sensors)
Industrialization
- Azure Kubernetes (AKS) multi-environment
- Automated GitLab CI/CD pipelines
- Grafana & Splunk monitoring
- Progressive multi-country rollout
Tech Stack
Results
Audio Synthesizer Performance Optimization
Reduce latency and CPU usage of software synthesizers to ensure a smooth experience for professional musicians.
Context & Missions
Arturia creates software synthesizers used in studios and live performances. For a musician, every millisecond of latency is noticeable. The challenge: optimize real-time audio processing while maintaining a responsive UI.
- Profile the audio engine and identify bottlenecks
- Optimize DSP processing and CPU consumption
- Improve OpenGL UI rendering
- Reduce audio latency to imperceptible levels
Technical Interventions
Low-level Diagnostic
- CPU profiling with Tracy Profiler
- DSP hotspot identification
- Cache miss and branch misprediction analysis
- Benchmarking on real user scenarios
Real-time Optimizations
- SIMD vectorization of signal processing
- Elimination of real-time allocations
- UI rendering pipeline optimization
- Overall audio latency reduction
Tech Stack
Results
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