Understanding the technologies used by Cadulis

A robust architecture for seamless field operations

Wondering how Cadulis stays smooth even during activity peaks?
This guide reveals the technological backstage that ensures the platform’s performance, scalability, and security.

Scalability: an infrastructure that adapts to your needs

• Kubernetes hosting: Cadulis automatically adjusts server resources according to demand, ensuring consistent responsiveness whether you’re scheduling 10 or 10,000 jobs.
• Load testing: The infrastructure has been validated under stress, with the simultaneous injection of 10,000 jobs without impacting performance.

Performance: speed and fluidity at the core of user experience

• Asynchronous processing: Non-blocking actions (e.g., sending emails) are executed in the background, preserving smooth navigation.
• Smart caching:
  • Speeds up loading of frequently accessed pages
  • Enables partial offline usage

📶 Some features remain available even without a network connection.

Algorithm: automatically optimized routes

• Travel time calculations:
  • Based on GPS coordinates
  • Refined by correction coefficients recalibrated using actual routes
• Continuous recalibration:
  • Each route calculated by a mapping service refines the field worker’s coefficient, providing more accurate time slots

Frequently Asked Questions

Q: Can Cadulis handle a sudden increase in the number of jobs?
A: Yes. Thanks to its scalable infrastructure, Cadulis automatically adjusts its resources to maintain optimal performance, even during peak periods.

Q: How does Cadulis estimate travel times without external services?
A: Using an algorithm that adjusts coefficients based on GPS data, Cadulis provides precise and independent estimates.

Q: Can I use Cadulis without an Internet connection?
A: Yes. Thanks to smart caching, some features (e.g., schedule viewing, activity sheets) remain available even offline.