FAQs

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.

The core principles of CI/CD strategies for front-end development are the same (automate testing, building, and deployment). However, Angular CI/CD pipelines often have specific steps like compiling TypeScript, running the Angular CLI build process, generating production-ready bundles, and deploying static assets to a CDN or web server, whereas back-end pipelines often involve database migrations and deploying services to an application server.

High code quality is achieved by implementing comprehensive Continuous integration for Angular practices. This involves configuring the pipeline to automatically execute unit, integration, and end-to-end tests with every code change, running code linting/analysis tools (like ESLint or TSLint), and enforcing rigorous code review policies before merging to the main branch.