Preuves · E-commerce
Montée en charge d’une plateforme e-commerce
Montée en charge d’une plateforme e-commerce pour absorber le trafic des pics saisonniers.
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La situation
Triolem's managed e-commerce platform was struggling with seasonal traffic spikes, particularly during Black Friday and holiday seasons. The system would crash under high load, resulting in significant revenue loss. Additionally, their recommendation engine was outdated and not driving conversions effectively.
La démarche
We implemented auto-scaling cloud infrastructure, developed an AI-powered recommendation system using machine learning, and established comprehensive monitoring and SRE practices. The solution included CDN optimization, database sharding, and real-time analytics.
Ce qui a changé
- Successfully handled 6x traffic increase during peak times
- Increased conversion rates by 35% with AI recommendations
- Reduced page load times by 60%
- Achieved zero downtime during peak shopping periods
Technologie
Frontend
React · Next.js · TypeScript · Tailwind CSS
Backend
Python · Django · PostgreSQL · Redis · Elasticsearch
AI/ML
TensorFlow · Scikit-learn · Apache Spark · Jupyter
Cloud & Infrastructure
AWS EKS · AWS RDS · CloudFront · Auto Scaling Groups
Apportez-nous le problème difficile.
Dites-nous ce qui doit fonctionner et avec quelle robustesse. Nous vous dirons comment nous le construirions, le sécuriserions et l’exploiterions.
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