FAQs

Yes, absolutely. The hubs we design are built for flexibility. Interactive platforms and modular content systems allow your team to capture real-time feedback and instantly adjust the agenda to focus on what matters most to your client. This ensures every visit is responsive and valuable, not locked into a rigid schedule.

Our automated systems begin gathering intelligence as soon as a visit is scheduled. For deep personalization, we recommend scheduling visits at least two to three weeks in advance. While shorter timeframes are possible, the experience may be less customized. The system handles this preparation automatically, reducing your team's workload.

Hyper-personalization means we design every touchpoint around your client's unique business context. Our systems gather deep insights before their visit, adapt agendas in real-time based on their feedback, and deliver tailored follow-up materials afterward. This ensures a consistently relevant and scalable experience, moving far beyond generic customization.

Store uploaded files in external storage services like AWS S3 or Google Cloud Storage rather than local container storage. If you must use local storage, mount persistent volumes and ensure proper backup strategies.

Run migrations as part of your deployment process using init containers or deployment scripts. Never run migrations automatically in your main application container as this can cause race conditions in multi-instance deployments.

Use named Docker volumes for production deployments to ensure data persistence and better performance. Use bind mounts during development for real-time file synchronization between your host and container.

Use multi-stage builds, implement proper layer caching strategies, minimize installed packages, and consider using smaller base images like Alpine Linux. Pre-warm your application cache during the build process rather than at runtime.

Create a dedicated scheduler service in your docker-compose.yml that runs php artisan schedule:run every minute. Alternatively, use external cron job services or cloud-based schedulers for production deployments.

Add a separate service to your docker-compose.yml that runs php artisan queue:work. Use the same Docker image as your main application but override the command. Consider using supervisord for process management and automatic restart capabilities.

Yes, you can run multiple Laravel applications by creating separate docker-compose.yml files in different directories or using Docker Compose's project name feature with docker-compose -p project-name up. Each application should use different port mappings to avoid conflicts.